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Here's a statement of the obvious: The opinions expressed here are those of the participants, not those of the Mutual Fund Observer. We cannot vouch for the accuracy or appropriateness of any of it, though we do encourage civility and good humor.
  • No! Investors Don’t Suck
    Hi Guys,
    Earlier today I posted a reply to MFO member Vintage Freak’s observation that “We suck!” as investors. I’m sure that exclamation was made in frustration. I disagreed, and said so.
    My response was a reflexive reaction. On reflecting on the matter, I liked the submittal. I concluded that my rapid reaction might be of more general interest to the MFO population as a whole. A wider audience distribution might be appropriate.
    So I decided to repost. However, I believe in a value-added policy. So allow me to append an eighteenth mistake that Merriman identified. It escaped me initially. Also permit me to add my version of a slightly modified ancient joke.
    First the joke. We all recognize that market wizard’s foolish forecasts are no more accurate than those made by informed amateurs. So: Fool me once, shame on you. Fool me twice, shame on me. Fool me thousands of times, shame on financial experts.
    I hope that was not too painful.
    Secondly, Merriman also includes a Mistake 18 very late in his paper. For completeness, here it is: Mistake#18: Spending so much time focused on investments that “real life” gets crowded out”.
    By all means do not fall victim to that pitfall. A portfolio of mutual funds and ETFs go a long way to steering clear of that egregious error; a portfolio of individual stock and bond holdings exacerbates this time sink.
    My original post, unedited, follows immediately:
    I seriously doubt that as investors “we suck”. I’m sure some of us do; I’m equally sure that most of us do not suck. I do not suck; you do not suck.
    We often make misguided investment decisions, but being 100 % correct when forecasting future market movements is an impossible standard. The unknowns and unknowables overwhelm the knowns.
    Don’t judge yourself so harshly. Experts make faulty decisions just as often as we do.
    Taken in isolation, brainpower is not sufficient by itself. From the dustbin of history, Sir Isaac Newton lost a fortune in the South Sea bubble; Albert Einstein lost when he overcommitted to failed municipal bonds early in the 20th century. John Maynard Keynes recorded a rocky up-down financial career with his beauty contest approach to investing.
    Recently Nobel laureates and economists Robert Merton and Myron Schols were founding members of the Long Term Capital Management debacle. Physicist John Allen Paulos unwisely had a love affair with WorldCom stock while sacrificing 90 % of his investment to bad practices. He did write a book, “A Mathematician Plays the Stock Market”, so he likely recovered from some of his misfortunes.
    My takeaway is that scientists are not immune to the same investment foibles that endanger and compromise our investment decision making.
    Brainpower is a positive asset, but it must be supplemented with large inputs of knowing the rules and the odds of the investment playing field. A little commonsense also is beneficial. The other side of the investment coin is familiarity with the many pitfalls and traps that snarl neophyte investors
    Paul Merriman has an excellent article that identifies 17 common traps. Avoiding these wealth eroding traps should remove anyone from the Sucks list.
    Mistake #1: No written plan
    Mistake #2: Procrastination
    Mistake #3: Taking too much risk
    Mistake #4: Taking too little risk
    Mistake #5: Paying too much money to others
    Mistake #6: Trusting institutions
    Mistake #7: Believing publications
    Mistake #8: Failing to take little steps that can sometimes make a big difference
    Mistake #9: Buying illiquid financial products
    Mistake #10: Requiring perfection in order to be satisfied
    Mistake #11: Accepting investment advice and referrals from amateurs
    Mistake #12: Letting emotions – especially greed and fear – drive investment decisions
    Mistake #13: Putting too much faith in recent performance
    Mistake #14: Failing to resolve disagreements between spouses
    Mistake #15: Focusing on the wrong things
    Mistake #16: Not understanding how investing works
    Mistake #17: Needing proof before making a decision
    Sage advice. Making just a couple of these errors can be ruinous to portfolio health. Merriman concludes the article with recommendations to avoid these pitfalls. Applying his experience-based observations might just save everyone more than a few bucks. Here is the Link to the complete paper:
    http://www.merriman.com/PDFs/AvoidTheWorstMistakes.pdf
    Please give it a try. It’s worth your time commitment.
    Vintage Freak, the marketplace is a tough demanding master. But it can be controlled with discipline and patience. Just review the Lazy-Man performance record that is often referenced in MFO postings.
    The long term performance of all these simple options hover around the 7 % annual rate of return. These are accessible, real, and are realistic expectations for market rewards. They demonstrate that investing can be made simple.
    But simple does not necessarily equate to easy. It takes work. Sometimes it is not easy to overcome behavioral biases, greed, and the devil renegade in each of us.
    Some luck is always needed.
    Best Regards.
  • Can It Get Any Better Than This ?
    Reply to @Investor:
    Thanks...here's the most recent Barclays sector CAPE evaluation paper I could find:
    barclays
    Also, here is the ETN that Barclay manages using this methodology and the four secrors it holds at the prent time:
    etnplus.com/US/7/en/details.app?instrumentId=174066
    As of April 2013:
    Sector 1 Industrial
    Sector 2 Financial
    Sector 3 Energy
    Sector 4 Health Care
  • Thoughts on Long/Short Fund
    Hi Guys,
    This MFO thread is especially chock full of actionable information and guidance. Thank you all for such an informative exchange.
    Most participants seem very knowledgeable in the long-short arena. For those of us long-short novice who are lurking in background silence, some of the merits and nuances of your commentary is likely to escape us. An introductory primer is needed.
    I’ll volunteer the following excellent primer from Morningstar analyst Mallory Horejs:
    http://advisor.morningstar.com/uploaded/pdf/Alt_Long-ShortEquity.pdf
    The Handbook is a nice 13 page summary of various long-short options including mutual funds, ETFs, Hedge funds, and Separate Accounts databases. The paper allows for quick and meaningful comparisons of the pertinent characteristics of these alternate investment opportunities. For example, average annual returns for the four options are depicted in Table 4 for the first decade of this century.
    I particularly liked the closing section (see figure 7) that explored the impact of various percentages of long-short equity positions on a standard 60/40 stock/bond mixed portfolio. Linear advantages were demonstrated for several performance metrics.
    From a modeling perspective, the near-linearity is significant since it suggests that the analysis is likely to be something more than a random success.
    For those MFO members who are potentially long-snort equity investors, the referenced article provides a solid understanding basis. Please exploit it.
    Best Wishes.
  • Sell In May And Go Away ? No Way !
    Hi Ted,
    Whomever is at 20% YTD would be at least 80% equity, I suspect.
    Now, exceptions would be 60-70% equity; but with funds that are currently setting at +35% YTD.
    I doubt our house will see 80% equity holdings again; until perhaps, in the next life.
    I do hope the equity returns hold for the year. Our 529 will be happy and we may have a decent return for the house, in addition. We will settle for this when not being able to give much attention to this area of life.
    Was thinking about, but don't have the time; for a write (a kind of 5 year look back), about having sold near 90% of our equity holdings in mid-June of 2008 and then watched prices creep up again until about this date (July 27th) of 2008. 'Caused a bit a head scratching for awhile. Time sure flies along, eh?
    We sold: FCNTX, FDGRX, FMCSX, VPMCX, VGSTX, REREX, a Delaware sm/mid cap that is now merged into another fund and about 5 other funds I don't recall at this time. Fortunately, at the time, the majority of money had access to stable value acct's. that paid 4.5-5% at the time; and PTTRX was held and kept in another acct. We escaped with a -8% overall.
    Well, anyway; hoping equities keep moving along for everyone so invested and when the correction arrives, that all will all be aware of the arriving change and how they choose to handle the situation.
    Catch
  • Safe Portfolio Withdrawal Rates
    Hi Guys,
    A major uncertainty when making a retirement decision is the expected future market returns. A standard analytical tool that is frequently exercised when attacking this quagmire is Monte Carlo calculations.
    When using a Monte Carlo approach, a constant issue is what to input as a likely returns profile as a function of the asset allocation and time. Many simulations deploy the historical statistical market segment data sets. Others use perturbed versions of these same data sets that reflect future expectations.
    These inputs are the fundamental drivers that determine an allowable annual drawdown rate. Of course, the target goal is a high likelihood of portfolio survival for the specified retirement period. That target goal is typically a 90 % to 95 % portfolio survival probability.
    A recent paper addresses this essential, but cloudy, input issue of candidate future market rewards. Rather than using a random draw to initiate the overall process, this refined Monte Carlo approach starts with current bond returns and the present equity P/E ratio to guide the future returns profile.
    This 17 page report by Blanchett, Finke, and Pfau is titled “Asset Valuations and Safe Portfolio Withdrawal Rates”. Here is the Link to the paper:
    http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2286146
    If you are not particularly inspired to examine the paper itself, here is a Link to a detailed opinion of that work:
    http://www.kitces.com/blog/archives/480-Safe-Withdrawal-Rates-In-Todays-Low-Yield-Environment-Walking-On-The-Edge-Of-A-Cliff.html
    This Nerd’s Eye View of the academic study fairly examines both the strong points and the shortcomings of the research work.
    In its abstract, the research paper properly identifies the motivation for the study as follows: “Portfolio returns in the first decade of retirement have an outsize impact on retirement income strategies. Traditional Monte Carlo simulation approaches generally do not incorporate market valuations into their analysis.”
    The referenced report employs a regression curve fitting approach to current bond yields as a point of departure for the fixed income modeling, and Robert Shiller’s cyclically adjusted price-to-earnings (CAPE) ratio model as an estimate of future equity market rewards. Inflation is incorporated into the formulation and is closely tied to the mid-term bond yield. As is usually the case, the overarching modeling is not completely accepted by market wizards without some controversy.
    Historically, most earlier Monte Carlo studies endorsed a roughly 4 % annual drawdown rate to sort of guarantee a high portfolio survival likelihood. The referenced work challenges this assertion given today’s investment environment. That’s not unexpected since the input anticipated return schedules are muted relative to historical averages. The referenced study challenges the safety of the 4 % withdrawal chimera.
    My takeaway from all these eloquent simulations is that any investor preparing for a retirement should assemble a sufficiently robust portfolio such that its planned drawdown rate should be approximately 3 % less than the projected annual returns for the portfolio. For example, if your portfolio is designed to generate a 6.5 % annual return over the long haul, than a 3 % withdrawal schedule, adjusted for inflation, should deliver a comfortable 90 % to 95 % probability of success.
    Also, an alert retiree will adjust that drawdown schedule if the portfolio suffers some shortfalls. Monitoring and flexibility are always vital elements in any planning and execution exercise.
    All this need not be complex rocket science. As Albert Einstein said: “ Out of clutter, find simplicity. From discord, find harmony. In the middle of difficulty, lies opportunity.”
    Monte Carlo tools provide such an opportunity. I really like Monte Carlo simulations, but I also recognize their limitations. They serve best in providing guidelines. Here is a Link to a very simple and useful Monte Carlo tool that is easily used:
    http://www.moneychimp.com/articles/volatility/montecarlo.htm
    The code provides an estimate of portfolio survival probability. The ease of input and speed of execution allows the user to do many probing parametric cases quickly. Enjoy.
    Monte Carlo analysis is applied only when definitive, precise assessments can not be made. That’s exactly a characteristic of the marketplace. That’s particularly true when planning for retirement, and forced to project highly uncertain market returns. I do recommend you use available Monte Carlo analysis when doing your retirement planning. Many websites offer that service.
    Good luck to all you folks who are now evaluating the retirement option. Given the results of the referenced study, that luck is most productive to your survival prospects when gifted early in the retirement years.
    Best Regards.
  • Finding Active Manager Expertise
    Reply to @GregFromBoston:
    Hi Greg,
    Thank you for your thoughtful and thought-provoking contribution. Based on our many past interactions I would expect nothing less. I was not disappointed.
    I do prepare my MFO postings using Microsoft’s Word.
    For me that tool is a necessity given that I have either the gift, or perhaps the curse, of being a prolific writer once motivated. MFO members who interpret my postings as overly lengthy and rambling might be shocked to learn that I usually severely edit my work and submit about half of the original.
    Admittedly, I do not verify all of my factoids, but I do check a major fraction of my reported data and references. Once I complete that task, I verify spelling and immediately submit the work. The minor delay is part of my quality control effort to improve overall accuracy. This procedure is a residual from my previous life which included an endless number of very competitive and highly technical contract proposals.
    Many thanks for expanding the active mutual fund management selection criteria list. Your recommendations added several dimensions to the list that had escaped me. It surely makes the list far more comprehensive.
    We do have a minor parting-of-the-ways with regard to the significance of a fund manager’s ownership commitment to the fund he controls. I suspect our disagreement most likely centers on the magnitude of that ownership, not just that he should participate.
    From my perspective, I really don’t care about the absolute dollars involved; I measure the managements commitment by the fraction (percentage) of his long-term investment holdings that he has dedicated to the particular product under consideration. A 1 % allocation (even if it is millions of dollars) is trivial in a relative sense. It is really not meaningful skin-in-the-game. A 5 % or more allotment presents an entirely different story. I recognize these data are typically not available. That’s too bad.
    It’s always informative and fun exchanging investment candidates and concepts with you. I learn a lot each and every time.
    Best Wishes.
  • Open Thread (July 4th Edition) - What Are You Buying/Selling/Pondering
    Reply to @Mark: Hi Mark,
    We were looking for 5 seater small to mid size "crossover" SUV and were inclined towards base models which these days comes pretty well equipped with automatic transmission, air-conditioning, cruise control, power locks/windows/mirrors, radio, a bunch of air-bags etc. Cheaper fabric seats were OK as we did not take good care of leather in a previously owned vehicle and we opted for darker interior as kids are not careful with keeping it clean. Many of the vehicles in this category come with some sort of LCD screens and other higher technology conveniences. We were not crazy about those features. Typically these technology additions are sold way too expensive than they should cost. Though a backup camera and dead-spot alert would have been nice. I did not care about sun-roof, moon-roof etc. either.
    We wanted gas powered engine as Hybrid still adds a lot to the cost, and there is the cost of replacing batteries when the time comes. Anyway, most manufactures does not offer hybrid engine at all at this category. We wanted FWD only as well which is cheaper than AWD and also has better fuel economy. We will not be off-roading and the vehicle will be mostly driven in Texas and the south.
    These days this class of vehicles are coming up with smallish engines to improve the fuel economy but I feel these are somewhat underpowered to the size of the vehicle especially when you are fully loaded with 5 people and cargo area is full. So, I either wanted to have a V6 or 4-cylinder engine with a turbo charger (what Ford calls EcoBoost engine).
    Contenders were: Ford Edge, Ford Escape, Hyundai Santa Fe Sport, Nissan Murano, Toyota RAV4, Mazda CX-5, Honda CRV
    Ford Edge: This is what we eventually bought. It comes with a 3.5L V6 engine with 6 speed automatic transmission with ample power. The transmission also comes with manual shift up/down button controls on the lever (semi-automatic mode). This engine/transmission combination reportedly delivers 19 mpg city/27 mpg highway and 22 mpg combined. A 4 cylinder 2.0L Turbo (EchoBoost) engine is available for $1000 more and delivers 21 mpg city/30 mpg highway and 24 mpg combined. It is estimated that with added fuel efficiency EchoBoost may pay for itself in 4 years. I personally believe 2mpg combined difference is not that significant to incur the added expense.
    17" alloy wheels are standard on base model. The rear bumper has sensor embedded to alert you of objects within 6-ft. and beeps at increasing frequency as you get closer. With this backup camera is not needed for me. To accommodate blind spots better there are small mirrors at the corners of the side mirrors that has wider angle view so although you do not have radar based blind spot monitor this is adequate low tech solution. On higher end versions, there is adaptive cruise control which adjust the speed down automatically if the vehicle in front of you is going slower than your set cruise control set speed.
    Ford these days offers MyFord Touch LCD touch screen based controls eliminating a lot of the knobs and buttons from dashboard. The screen sizes and amount of functionality goes up if you buy higher priced trims. The downside is that with some much added functionality people are having trouble operating these, especially while driving as there is no tactile feedback. On the base SE trim that I bought a lot of the buttons and knobs are retained and the LCD screens simpler and my wife likes it that way. You can still operate your radio volume, presets, air etc. using conventional means. But you can pair your bluetooth phone with the car for hands-free communication. Microsoft Sync. provides voice activated systems. I think there is just enough high tech in this base trim not to overwhelm people.
    The deal maker was the price and financing. MSRP for the vehicle was listed at $29845 with convenience group 101A added to base SE model. I was able to get it just under $26000 after $2500 rebates deducted. Because of the rebates, I did not get to use Ford Credit Financing which offers right now 0% financing for up to 60mo because we would have to give up on most of the rebates. We got financing from BoA at around 2.3% with no money down. There is no pre-payment penalty.
    Ford Escape: This is a slightly smaller crossover SUV from Ford than Edge. The default is 2.5L 4-cyclinder engine. 2.0L Ecoboost is available and I was interested in base + turbo but it actually costs more than Edge. One thing that I did not like about this one is that the driver seat area is tight. I like to have ample clearance in front of my knees and and I am average height and you need to move the seat much more back to create that space.
    Hyundai Santa Fe Sport: This was a very strong contender for me. I really liked it. Santa Fe comes as either 5 seater sport trim or 7 seater. 7 seater is longer/bigger and comes with 3.3L V6. The sport version comes with a 2.4L 4 cylinder engine or 2.0L 4 cylinder turbo engine (2.0T). Both engines are paired with a 6-speed auto transmission. I was particularly interested in Sport 2.0T. The 2.0L 4 cylinder Turbo engine that delivers impressive power. There was no obvious deals offered at this time. Perhaps dealer had its own deals.
    Nissan Murano: Murano does offer 3.5L V6 engine choice with CVT (Continuously variable transmission). I was very inclined for this vehicle but for some reason my wife was biased against the looks. Perhaps she had the images of the early versions of this vehicle. I think 2013 model looks good but we skipped this. Oh well...
    Toyota RAV4: Given that I own a 2008 V6 Toyota RAV4 (now at 95K miles), I first looked at Toyota again. I did not like 2013 version as much. There is no option for V6 anymore and there is no turbo engine option. Only offered with 2.5L 4 cylinder engine but adds 6-speed automatic transmission which is good. Also, the hidden trunk storage under cargo area is gone in 2013 to accommodate the spare tire. This was one thing we liked about RAV4. Anyway, my son will be driving 2008 model one as he gets his drivers license in a week or two and my wife will transition to Edge.
    Mazda CX-5: CX-5 gets high praises in reviews. It is all new and replaces CX-7. It is the fuel economy leader in this category. An impressive 26mpg city/33mpg highway. Coming with 2.0L 4-cylinder engine with 6 speed automatic (FWD/AWFD) or manual transmission (FWD only). No Turbo option. If you are going to drive the vehicle in city and mostly alone, this may be a good vehicle to consider.
    Honda CRV: Also comes only with a 2.4L 4 cylinder engine with a 5 Speed Automatic. It still offers a very good economy with 5 Speed automatic transmission. Except for the engine it is a well rounded vehicle and Honda is known for its quality and price depreciation is slower.
  • Portfolio Change- Advice is Welcome!
    Reply to @davidrmoran:
    Hey David. If you click on the Reply link on the post you are replying to (all posts except the first post of the thread have one), and type your reply in the new text box that shows up, your replies would be properly aligned and a "Reply to ..." would be placed in message. That would make the replies more obvious especially on a large thread.
    Re: share-price constraint: I think this constraint is the most meaningless investment objective as stock price alone does not convey much information regarding if the stock is a good investment or not. You can split or re-reverse split to keep the price of a stock in an arbitrary range. Some pension funds will not invest in stocks that are lower than $10 and exchanges also impose restrictions for delisting. Other than price can be anything.
    I think the price constraint may not be strictly applied these days. Although the prospectus says "Normally investing 80% at $35 or below", the portfolio has a bunch of stocks that are over that in the top 20. I think the escape word is "Normally" which is not defined. Rather "low-price" is interpreted as cheap in the sense of P/E, P/B, P/S, P/CF these days. Tillinghast does not over pay and I like that.
  • Open Thread - Anyone Buying/Selling/Pondering?
    Hello,
    I have recently reduced my bond exposure and in doing this sold out my positions in NEFRX, LIGRX & TPINX within my fixed income sleve. This leaves me with LALDX, THIFX, ITAAX, NEFZX & LBNDX. I plan to watch fixed income over the next few weeks, or so, and I most likely will open a position in TSIAX should bonds level out or perhaps cut more should they continue to decline.
    Within equities I am holding steady with my positions as I fell I have already right sized this area through a sysematic sale process as they advanced this year. Should the S&P 500 Index continue pulling back ... I might add through rounding out some current positions but plan no major purchases. The landscape going forward for 2013 has a lot of uncertainty as corporate revenues are flat even though corporate earnings have improved through companies right sizing to produce same. In the long run though if revenue remains flat then companies are not growing. And, that is not good.
    I wish all ... Good Investing.
    Skeeter
    In addition, I have some comments deeper in this thread.
  • Don’t Sell in May and Go Away
    First, let me say I have a great amount of respect for MJG and I admire his wordsmith ability. I am not the accomplished writer that he is so my writing will not be as stylish. But, here is my message (SWAG).
    There are some elements in the market that concern me while corporate earnings are being reported with many companies exceeding expectations. This is due in part to revisions that analyst make prior to companies reporting and in many cases just days before. Some predicted that forward full year earning for the S&P 500 Index would come in somewhere around the $115.50 range towards the closing days of 2012. Current revisions, by some, now have this number in the $113.25 range. This is a reduction, thus far, of not quite two percent; however, should the revision reductions continue at the current pace for the rest of the year then this brings full year anticipated earnings to about $109.00 (high side guess) per share on the Index.
    Taking the recent high for the Index at about 1675 this equates to an estimated P/E Ratio of about 15.3 which falls at about the mid point of what is said to be a normal range for the Index at about (14 to 16). But, there again, projected earnings must materialize for this to become fact.
    Now that is my perceived earnings picture; but, there is more to the story and that is the revenue picture. It seems that companies are having a more and more difficult time in growing their revenue landscape and without revenue growth then there is really no growth from my thinking. And, this is where we are at today from my thoughts. So if stocks sell more going forward, without revenue growth, it will be because of what is know as P/E expansion. With this, investors become willing to pay more and more for earnings … but, not me.
    Another thing that concerns me is that there may be a change coming within the FOMC itself with a new Fed Chair. This in itself creates a lot of uncertainty by my thinking and is not good for the markets.
    Going back to my college days and using a fair value analysis formula, that Professor Sturgis taught in his class which is a quick and down and dirty means to compute fair value, I compute that the S&P 500 Index has a current fair value of about 1455. This takes into account the stale revenue growth that now prevails along with a projected earnings outlook. Using this method puts the Index in overbought territory by better than ten percent. Even Morninstar’s Market Valuation Graph currently has stocks overvalued in general by about three to five percent and some of the sectors by as much as 15%. So there is some thinking not only by myself but others too that stocks are now overvalued.
    For me it was a no brainer to reduce my allocation to equities once I began to detect that they were becoming overbought and as we move into the summer months which are a traditional slow period for stocks I positioned accordingly. Those that have followed my past post know I have been a seller of equities since the first of the year through utilizing a systematic sell process as equity valuations advanced and were becoming overbought by my thinking.
    Currently, I have positioned my asset allocation for equities towards their low range at about 40%. A high range equity allocation for me would be around 60%. When I start to discover that there is more value in equities then I will again ramp up my equity allocation … but, until then … I am on vacation.
    I hope you enjoy your summer … and, most of all … I wish you ... Good Investing.
    Skeeter
  • A strange market today.....
    Hello,
    For the day ... Skeeter down -0.37% , my boggey (Lipper Balanced Index) down -0.67%.
    Year-to-date ... Skeeter up 8.9%, my boggey (Lipper Balanced Index) up 8.6%.
    For the Sale In May strategy ... I've already rightsized my portflio. MJG had some good points but one of the items that I feel important is the corporate revenue landscape issue. You'd think if things are improving like being said by many then the corportate revenue landcape would be too. Seems to be lagging for some strange reason, perhaps consumption is down. From my perspective, the rally has limited legs and perhaps a false bottom. Historically, stocks have been soft during the summer months and with this we still have the rest of May, June, July and August to transverse.
    Currently, my equity allocation is about 40% of my portfolio which is in the low equity allocation range for me. A high range would be around 60%.
    I wish all Good Investing,
    Skeeter
  • Don’t Sell in May and Go Away
    Hi Guys,
    Annually we revisit the aging Wall Street adage to “Sell in May, and Go Away”. MFO contributor Skeeter posted on this topic in early May. There is ample historical data to support this proposition. It is all grounded in statistical data sets. The statistics are its basic strength, but also its inherent weakness.
    Every May, we are persistently exposed to the fundamental data, both in the business media and here at MFO. Here is one sample media article that takes exception to the invented Sell in May guideline:
    http://www.businessinsider.com/no-dont-sell-in-may-and-go-away-2013-5
    The referenced article presents a 50-year data gathering effort. The study timeframe is an important parameter selected by the research team. To a large degree, it influences the specific findings, and in some less frequent instances, it establishes an outdated trend-line.
    Unlike a mechanical system that has a reasonably understood and predictable lifecycle history, the historical database of a system, that is dominated by human decision making, by complex interactions, and by its perceived persistency, is highly suspect. A meaningful tradeoff exists between accumulating a statistically self-consistent data set and the degrading freshness of that same data. The financial marketplace is a dynamic entity influenced by both unpredictable endogenous and especially exogenous events like totally unforeseeable Black Swans.
    For many investment studies, the bottom-line is that if the data collection period were modified, the findings would be changed.
    But more significant for the purposes of this posting is the interpretation and the exploitation that this evolving calendar data permits. The exploitation is tightly coupled to the current economic, political, and financial environments, and the relative attractiveness of alternate investment options, like cash for instance.
    It all depends on the potential payoff and risk matrices for the available alternate investment opportunities. I’ve assembled and now document a few tradeoff considerations from a variety of sources. The goal is to make more informed decisions and to accrue better returns during the typical mid-year equity doldrums.
    First, let’s establish a target baseline. These data come from John Buckingham’s “Prudent Speculator” May newsletter. In rough terms, the October-April period has generated a 8.2 % partial annual return; the May-September period has added a more meager 2.3 % partial annual return to enhance the anticipated payoff to a 10.5 % annual long-term record. Given the very thin mid-year returns, a more diligent monitoring of overall composite environment (political, economic, international, financial) is mandatory in the summer time to protect our portfolios.
    Second, given that the easily accessible alternate portfolio options of cash and short-term bonds are yielding below inflation rate returns, all other factors being equal and unchanged, staying invested in the equity markets is an obvious choice. The prospects for a 2 %-plus return for the quite period is a no-brainer over a likely 0.1 to 0.5 % return during that same timeframe from fixed income sources.
    Third, various research findings have provided guidance for strategies to improve the expected equity baseline returns. For example, the pioneering Fama-French studies suggest that a portfolio with a value and particularly with a small-value orientation could augment the baseline rate of return by perhaps a 2 % increment. Buckingham’s studies, with a fresher set of data, reinforce the earlier work. His research also concludes that a portfolio constructed with the highest one-third of dividend paying stocks could outperform a non-dividend portfolio by another 2 %. Of course, these potential pluses are bounding numbers since a typical portfolio really should contain a more balanced mix of holdings.
    Fourth, recent momentum studies suggest that a positive momentum early in a year, continues through the summer doldrums. Momentum persists in the short term (months). The likelihood that the equity markets will produce returns in excess of the historical record approaches the 80 % range (I lost the specific reference to that figure). Tilting the odds in your favor is always a good thing. Here is a Link to one optimistic assessment that illustrates the disparity in summer equity returns when cash has an attractive return and when it does not compete with even subdued equity rewards:
    http://www.bellinvest.com/resource-center/publications/Sell-In-May-And-Go-Away
    Fifth, the old saw that the market doldrums reflects the fact that the major market participants are vacationing is no longer valid. Two distinct factors have altered that interpretation. The market trading is now controlled by institutional agencies. Individual investors were 70 % of the trading volume two decades ago; today, 70 % of that activity is generated by the gigantic professional units. These agents never go on a holiday. Also, even when a trader is vacationing or away from his office, the modern computer and communication tools permit, in fact encourage, trading from anywhere and at all times. Traders never rest.
    Sixth, a plethora of academic and industry generic studies have demonstrated that both a passively managed investment portfolio and attention to low cost investment control improve expected returns. This is especially applicable when operating in an anticipated low return environment. Any incremental cost drag pulls the net return downward a disproportionate percentage.
    Because of these factors, and likely many others that escape me, it is my opinion that the “ Sell in May, and Go Away” axiom is not currently functional in our present marketplace. At least for now (things change), it belongs in the dustbin of history. Both strategic and tactical investment policies depend on circumstance, technology, and changing demographics. Nothing is invariable; stability in the marketplace seems to be an oxymoron.
    Since my portfolio already reflects most of the elements I discussed, I’m simply standing firm. I will definitely not sell in May and not go away.
    Please comment and share your opinions.
    Best Regards.
  • who's making big money? So far, just two categories dominate
    Hi David,
    In most instances I admire and respect your excellent analyses and writings. They are incisive with purpose and actionable meaning for us individual investors.
    Given that record, I am greatly baffled by this submittal. Its purpose totally escapes me.
    At best, it seems to be the product of hollow and random mind wandering. At worst, it is a carbon copy of those senseless financial and money magazine stories that tout “The 10 best Funds to Guarantee your Portfolio’s Growth”. I know that was not your intent, but the posting smacked from those misguided and mischievous magazine-like articles.
    My first-order reaction to the piece was “so what”. What can an active MFO participant extract from the listing to bolster his portfolio? My simple answer is “nothing”. The 10 short term winners in this quarter’s sweep stakes will assuredly be replaced by another equally undistinguished group next quarter. The list just might help gamblers who speculate, but will not aid portfolio construction for the true equity investor.
    Your piece lacked balance. Since you identified the 10 best short-term performers and their coupled unseemly returns, it would have been fair to identify the 10 worst performing funds. The downside losses from the bottom rankings are just as startling from these miserable managers. They roughly equal the upside rewards that you referenced in a negative sense.
    As you noted, the positive outsized results largely reflect the leveraged design of the fund’s investment policy plus some hot sectors. This highly leveraging tactic almost always propels its proponents to either the top of the rankings or submerges them to the bottom of the heap. And it changes rapidly as does the hot sector becoming icy cold.
    I was somewhat dissatisfied that you did not comment on the size of the referenced funds. For the most part these funds are miniscule in size. They are not representative of what the investing population owns or where their net wealth is nested. Size matters. The largest mutual funds have orders of magnitude more investors and more resources; they impact and influence the markets overall direction.
    Also, why emphasize this very short time horizon? A more useful set of data would characterize “best” returns for longer test periods; a 5-year record will capture some elements of various market and economic cycles, and will more accurately measure the skill set of an active management. These longer term summary data are readily accessible and more properly symbolize realistic market rewards for the prudent average investor.
    The funds that you referenced are likely owned by short-term market speculators, not by the more staid cohort that populates the MFO forum. I doubt if many MFO members would consider investing in a fund that deploys a leverage factor of three. The risk and the price perturbation discomfort levels are just too high.
    David, you overwhelmingly generate outstanding analysis and stimulating text; however, this is not one of those illustrious instances. Sorry, but all MFO members should not just be automatic admirers of your work (although we often are); critical exceptions infrequently happen. Pure sycophants do not advance a more informed market understanding.
    Please continue your superior fund research and your informative reporting. A uniform work product is a non-achievable target goal. You typically do not miss by much. This is a rare misfire.
    Best Wishes.
  • Mapping Investor Odds - Part 2
    Hi Guys,
    Here are a few further thoughts and interpretations that expand on Part 1 of my earlier post.
    There is little doubt that funds flourish that do generate positive Alpha. However, they are few in number and their excess rewards over time are modest and unreliable at best. In a portfolio that has many active fund holdings, it is highly likely that any such positive contributions will be neutralized by those actively managed funds that are underperformers.
    The mutual fund landscape is heavily populated by these underperformers. The positive Alpha funds do not adequately compensate for the many more losers. It is an asymmetric playing field. Kahneman’s Prospect Theory addresses this issue.
    Additionally, a regression-to-the-mean is forever operational in the investment universe. For any extended time horizon, this regression law erodes any annual superior results. It is a challenging task to identify any fund (especially a-priori) that will consistently deliver plus Alpha outcomes. Good luck in this unpredictable domain.
    It is an amusing oxymoron that actively managed mutual funds always tell us that “Past performance is not indicative of future performance”, yet they also, almost instantaneously, ask that you favorably evaluate their superior past performance. This obvious disconnect doesn’t seem to trouble them. It does trouble me.
    The mutual fund industry is populated by very smart professionals. These well-trained, organized, and competitive participants tend to neutralize one another. The more I explore these issues, the more I am convinced that the search for superior mutual fund managers is all a grand waste of time. I’m venturing more and more into the Index world arena.
    Whenever questioned, active fund managers always appear to have a reasonable story, a respectable approach, and an attractive strategy for promised success. Subsequent performance data uncovers the weaknesses of their methodology; failures are abundant and returns are often disappointingly dismal. Annually, a large percentage of actively managed products exit the battle field. By itself, that’s a telling and a tilting lesson.
    I am sure David Snowball is very careful and fully alert when conducting his fund manager interviews. His probing must be an uneasy assignment. He deals with smart, talented, and focused fund managers, These guys may or may not be superstar money managers, but they are all superstar salesmen. Their presentations reflect their agenda and their incentives. Professor Snowball is well trained to separate the wheat from the chaff using learned skills, a cautionary examination, and a healthy dose of skepticism. I don’t envy him his task since fund managers are adroit at decoying the chaff to resemble real wheat.
    I have arrived at my own decisions on this matter. I am shifting my portfolio much more dominantly towards the Index direction. I conclude that the accumulative evidence is overpowering. Chart 1 in this submittal is devastating evidence against active management from both a time and a numbers perspective. The shocking finding is that diversification among active managers doesn’t improve the situation; it likely amplifies the negative impacts of cost drag and the poor trading habits of these managers. Surely there are a few atypical exceptions.
    As usual, you are the boss of your own portfolio; you own it. You are free to take charge, to develop your own plan, and to execute that plan. My hope is that the data I collected for this posting will allow you to make a more informed decision that adds strength to your portfolio and provides you more comfort in your decision making. I wish you luck.
    In his classic book “Thinking, Fast and Slow”, Daniel Kahneman repeatedly reverts to the tension between clinicians and statisticians. That same tension exists among all investors, and even within the MFO clan. At least part of that tension is driven by an individuals lack of a statistical education. That hole in his education will eventually cause a hole in his financial decision making, and finally a shortfall in his portfolio’s performance. By downsizing or ignoring statistical analysis an individual investor enhances his risk without a compensating reward. He is truly flirting with a disaster of his own design.
    Years ago, I initiated my participation in Fund Alarm, and later in the MFO site, to encourage a broader understanding and a fuller utilization of statistical methods. I remain dedicated to that goal regardless of wordsmith harassments (never direct attacks against the statistical procedures themselves) against that purpose. I am not dissuaded from that objective; I will continue the march.
    I’ll be talking to you guys occasionally further down this bumpy, twisting, and sometimes discontinuous investing road. Black Swans do make the road discontinuous.
    It’s fitting to close with an ancient Chinese saying credited to Lao Tzu: “If you don’t change direction, you’ll end up where you are heading.” You folks get to decide if a revised compass heading is needed.
    Best Regards.
  • Real Estate Sector Investing
    Baron Real Estate is an aggressive RE fund that offers exposure to REITs and what I suppose you can call "RE-related" (Lowes and the like) On the conservative side, Fidelity offers a fund (Fidelity Real Estate Income) that can invest both in REIT stocks and REIT preferreds/bonds/etc - nice income, less volatility over time. There are a number of others.
    I personally have steered towards individual names, as I am not particularly fond of retail REITs over the longer-term (I'd rather invest in industrial/warehouse, given the rise of online shopping - I mentioned Monmouth and Prologis the other day as examples, the former being a major landlord for Fedex.)
    Retail RE has run up a lot, but I just think if things turn South again it's going to go sour and if things turn up, I just think a lot of retail is going to have to evolve in order to try and keep up and compete with technology. Either way things go, I think retail is overbuilt in this country and the era of suburban strip malls that all look alike dotting the landscape is going to be gradually over - maybe not today, maybe not tomorrow, but over the next 5-10 years if not sooner. Landlords have to evolve and you're seeing that with mall operator Westfield creating Westfield Labs in order to figure out ways to integrate tech with the retail experience (http://www.westfieldlabs.com/) The big mall operators will probably be okay - Simon, Westfield - but I don't like things like DDR. I do like Tanger and their high-end outlets.
    My largest individual RE holding (and one of my larger long-term holdings in general) remains WP Carey (WPC), which has run up a good deal but which I continue to increasingly like as a very long-term hold.
    However, I think most people should look at/would be fine with a fund.
    By non-REIT, did you mean Loews-style things, or agency mortgage co's (NLY, etc?)
  • Passive Portfolios Work
    Hi Guys,
    We have always been taught to “Don’t just Stand there, do something”. That was the way of the American Revolution, still is the style of the Marine Corp, and is effective action for most situations.
    But there are exceptions to rules; Investing might just be one such exception. In the investing universe, it might be more rewarding to pervert that guiding axiom to “Don’t just do something, Stand there.” In portfolio management, passivity just might be the key that unlocks the door to treasure booty. Within the last five decades much empirical data have been collected that underpins this wisdom.
    Let’s examine the evidence from both a theoretical perspective and from an empirical perspective.
    The Theoretical Approach:
    A hypothetical model will be formulated that serves as a comparative baseline. All data reported in that model was extracted from Morningstar
    A total equity market fund will substitute as a market proxy. I’ll employ the 15-year data as a compromise between the statistical benefits that very long-term data affords and the relevance, timeliness, and freshness of shorter data sets. I’ll assume that a normal distribution applies. Needed is the average annual returns and the return volatility measure (standard deviation).
    Further, assume that active mutual fund managers are more or less neutral (often their performance clusters around the norm). The historical data sets suggest that excess profits are rare and that persistent outperformance escapes existence. Initially suppose that active management does no harm, but likewise, does no good in terms of excess rewards (again, based on past recorded performance).
    Given those modeling assumptions, the only difference between a passively managed portfolio and an actively managed one will be the cost structure. The cost only impacts the annual returns, not the statistical distribution. To explore the cost dimension, postulate a realistic active cost of 1.0 %, and also 1.4 % to parametrically study the issue.
    As the reference passive powerhouse, the Vanguard Total Stock Market Index (VTSMX) is more fully diversified than its domestic equivalent, the S&P 500. For our purposes, VTSMX will carry the passive investor’s flag.
    From Morningstar, the VTSMX fund yielded an average annual return of 5.23 % with a standard deviation of 16.79 % (this is a constructed 15-year average since the fund has not actually existed for that extended period). Then, for this study, an actively managed portfolio would delivered after costs a 4.23 % and a 3.83 % annual return for the two cost structures. Volatility is maintained at the 16.79 % annual level.
    Given these data, a simple lookup from any Normal Distribution Statistical Table shows that 52.2 and 53.3 percent of active managers fail to better their passive pacesetter. The incremental cost impose a hurdle that the active manager must overcome to defeat the passive agents.
    This conceptual modeling does not bode well off the starting line for active fund management. But if they have any talent whatsoever, the cost penalty handicap should be frequently overcome. The empirical examination that follows demonstrates that even this modest challenge is not successfully navigate by the active management teams.
    The Empirical Approach:
    Excellent empirical performance data have been collected for decades and much examined in academic and industry studies. Experimental work often produces deep insights and actionable outcomes.
    The investment heroes in the passive camp are legendary names: Bogle, Ellis, Bernstein, Buffett, Ferri, Swenson, others. The heroes in the active investment camp are more rare, a handful at best. Even these heroes have suffered bankruptcies sandwiched between euphoric temporary successes. Jesse Livermore, the famed stock operator, tragically comes to mind; he had a rollercoaster career that ended in a 1940 suicide..
    The historical evidence is overwhelmingly against an active investment agenda be it institutional managers, market gurus, fund managers, and private citizens. Very few persistently outdo a simple passive approach.
    Next, I’ll present several samples that document just how hazardous active investing is to long-term portfolio health.
    Here is a very recent reference from the pen of Barry Ritholtz. He reports that in 2012 only 39 % of fund managers outdid the S&P 500.
    http://www.ritholtz.com/blog/2013/01/fund-manager-performance-vs-the-sp/
    Of course you are all familiar with my semi-annual rantings that are coupled to the S&P SPIVA and Performance Persistency Scorecard releases. You can access these at:
    http://www.standardandpoors.com/indices/spiva/en/eu
    Over its 10 year history, SPIVA consistently refutes active manager’s excessive and unwarranted excess returns claims. Naturally, a minority of managers do succeed annually, but the Persistency scorecards demonstrate that percentages are below those expected from random luck alone. Skill over luck is hard to identify in any of these reviews.
    The sky high fund failure rate frequency (non-survivability) is an advanced warning signal of the superior active fund management illusion.
    One typical S&P finding is that “SPIVA consistently shows that indexing works as well for U.S. small-caps as it does for U.S. large-caps.” A second consistent finding is that “In the two true bear markets the SPIVA Scorecard has tracked over the last decade, most active equity managers failed to beat their benchmarks.”
    Even in sectors and in market scenarios where you might anticipate that active management has an opportunity to perform brilliantly, the funds fail to do so. This is a sad, sad tale. Studies like these demonstrate that in spite of their perceived smarts, fund managers are woefully inept at even delivering benchmark Index rewards.
    But woeful performance is not limited to institutional giants or fund managers; actively trading individual investors are similarly inept. Both Morningstar and DALBAR have documented this finding for decades.
    As poorly as active mutual funds perform relative to a representative benchmark, private investors in these funds fail to capture the diminished returns of the funds that they invest in. Private investors are notorious hot fund seekers and herd-like followers with poor market timing skills. DALBAR will soon release its report for 2012. I anticipate it will be a carbon copy of earlier products. Past releases document that individual investors often receive only one-third to one-half of a fund’s annual returns.
    Market timing is not a private investors strong suite; he gets the entry and exit times wrong. Here is a reference that allows you to download the 2012 DALBAR QAIB publication:
    http://www.qaib.com/public/downloadfile.aspx?filePath=freelook&fileName=advisoreditionfreelook.pdf
    The DALBAR report vividly records just how poorly private investors performed in the 2011 marketplace. Shamefully bad outcomes.
    Almost an endless list of other academic and industry research projects buttress the few findings that I included here. In total, it is a comprehensive and compelling body of evidence.
    The bottom-line conclusion from an empirical perspective is that active investing is truly a Loser’s Game. Active managers fail much more frequently to achieve passive benchmark returns than the theoretical formulation suggests. This finding signals that these managers are exceptionally prone to human behavioral biases that destroy wealth at a faster pace than the cost handicap implies.
    Perhaps they just try too, too hard. As Charles Ellis has concluded in several of his many books, a kind of “benign neglect” might work considerably better over the long haul.
    Several other factors, not discussed so far, compound the negative aspects of active fund management. One factor is the very asymmetric nature of their payoff curve. Under the few winning circumstances, the excess returns generated are marginally superior to Indices. For the many more underperforming instances, the payout matrix is much more devastating to portfolio wealth.
    A second factor is that the crippling impact of active management has an accumulative effect. As the number of active funds increase within an investor’s portfolio, the likelihood of outperformnce continuously decreases. The underperformance also becomes more problematic as the time horizon expands.
    Recognize that active investing produces a multi-dimensional portfolio whammy dependent upon the extensiveness and particular style of the active part. Passive Index investing just might be the smart answer to the wealth-eroding behavior of most private investors.
    Your opinions are encouraged and will definitely contribute to this posting.
    Best Regards.
  • Vanguard Study of Active Share Performance
    Hi Guys,
    A few days ago our intrepid linkster Ted provided several Active Share references. Those excellent references tickled my curiosity so I explored other papers that addressed the same subject.
    One superior source was produced by Vanguard. It is both a reasonably easy read yet technically rigorous. I recommend you consider spending a few minutes with the paper. Its conclusion departs from the original academic findings as reported by Cremers and Petajisto. It seems like nothing escapes controversy in the investment research arena. Selected examination timeframe is a critical component of any study. Here is the Link to the Vanguard work:
    https://pressroom.vanguard.com/nonindexed/active_management.pdf
    The piece is 16 pages and directly contradicts the Cremers and Petajisto research. The data time span is longer for the academic work, but the Vanguard research uses the very attractive in-sample Evaluation data collection period followed by the out-sample Performance test period method of analyses. Vanguard also uses a multiple set of tools when classifying a mutual funds investment policy.
    The multiple toolkit that Vanguard introduces to assess Excess Returns are: (1) Active Shares, (2) Concentration, (3) Style Drift, (4) Excess Return, and (5) Tracking Error.
    I had several takeaways from the paper. Some were from the basic conclusions reported in the document; others were essentially peripheral items buried within the text and not a fundamental objective of the research. Here is my partial takeaway list.
    (1) Mutual fund survival is always an issue. In the Vanguard study about 34 % of the candidate funds did not survive the study period of about 11 years. That high a failure rate has always shocked me.
    (2) Higher percentages of active share holdings do not immediately translate into positive Excess Returns. The returns spread among the high active share grouping is huge; it is just as likely to buy an inept active manager as a talented one.
    (3) Tracking Error can be gauged by Excess Returns volatility. I typically used the R-square correlation reported in mutual fund chroniclers like Morningstar to measure that term.
    (4) Tracking Error and Active Shares are two useful parameters when sorting funds into a matrix of diversified stock pickers, concentrated stock pickers, closet indexers, and factor players. Almost no funds relied predominantly on factor plays.
    (5) Between the sorting Evaluation period and the scoring Performance period styles did not remain constant; funds migrated from one category to another at roughly the 33 % level.
    (6) Costs matter (naturally since this is a Vanguard study). The higher percentage active shares outfits cost the most, but failed to deliver superior performance in the Performance phase of the study.
    (7) When assessing the excess returns of the highest cohort of active shares, the subgroup that still generated positive excess rewards in the Performance phase had the lowest costs. Costs matter greatly.
    (8) Again, Performance persistency failed to be demonstrated. This finding is in line with other academic research that dates back to the 1960s.
    (9) Active Shares is a unique enough measurement tool (low correlation with other tools) and deserves to be added to the array of assessment tools that I use to make investment decisions. A multi-component toolset should be deployed since any single measurement does not fully capture all the important characteristics of a mutual fund.
    (10) Identification of successful future active fund managers still remains an illusive target. The utility of Active Shares in making a decision will rage into the future like so many other mutual fund selection debates.
    I’m sure you all can add to this list. Please feel free to do so. All comments are welcomed.
    Enjoy the Vanguard effort. It's a nice body of work As a minimum, it just might enhance your mutual fund selection toolkit.
    Best Regards.
  • A 21st Century Investment Strategy
    Hi Guys,
    The active-passive portfolio management debate is legitimate. Which approach is most attractive to an individual investor depends, to a large extent, upon time horizon, on risk profile, and on goals.
    Likewise, the Efficient Market Hypothesis (EMH) and its companion Modern Portfolio Theory (MPT) are legitimate subjects of controversy. Both the EMH and MPT are evolving models, and models are always simplified versions of the real world. Ultimately, their legitimacy rests upon the robustness of their assumptions and upon their success in reproducing historical data.
    The EMH and MPT do yield some deployable insights, but also suffer from warts. For example, on the positive side, these concepts introduced risk considerations into investment assessments. On the negative side, they are not perfect formulations like hard physics laws; nothing new or exciting here.
    From my earlier postings, I’m sure you all realize that I am a proponent for a mixed passive-active total portfolio. A total commitment to either strategy escapes me; a complete commitment is not necessary. Since retirement, I have gravitated more heavily towards the passive end of that mix.
    I fully recognize the limitations and imperfections of both the EMH and MPT, but conclude that they offer positive guidelines to foster more robust portfolio construction. We certainly are not fully rationale investors, but we strive for that esoteric goal. Standard deviation (volatility) is certainly not a complete measure of risk. Risk is truly multidimensional in character and has many measures (value at risk, maximum loss for a specified timeframe, Sortino Ratio), and standard deviation is merely one of them. But it is a significant risk component, especially when assessing the longevity of a drawdown retirement portfolio.
    I used these investment concepts with the historical market returns database when making my retirement date and my portfolio withdrawal rate decisions. I remember when Peter Lynch improperly recommended a permissible drawdown schedule at a 7 % annual rate. I used a Monte Carlo code to refute that overly optimistic judgment. The actual drawdown reality is closer to a more conservative 4 % allowable rate that will sustain a retirement portfolio over the long haul.
    The volatility (variability, standard deviation) of annual market returns is the primary culprit to the diminished permissible withdrawal rate for portfolio sustainability. Monte Carlo simulations use randomly selected returns from statistical sets of input data that model expected returns from various asset classes to drive their analytical solutions. The Monte Carlo approach is the direct progeny from MPT and Markowitz’s portfolio asset selection theory.
    The basic finding from these analyses is that asset class diversification realizes a portfolio volatility reduction outcome (by factors from 1.5 to 2.0) while simultaneously maintaining a constant expected returns level. During the required service lifecycle of the owners portfolio (usually 20 to 30 years), that reduction in annual returns volatility dramatically increases the portfolio’s survival rate prospects (survival likelihood, the odds or probabilities of survival) for any required drawdown schedule. Alternately, if a higher withdrawal rate is deemed necessary, the reduced portfolio volatility enhances the portfolio’s survival chances.
    The portfolio owner gets to choose his own poison, but risk control, in terms of attenuated portfolio standard deviation. is a powerful and easily implemented tool to decrease bankruptcy likelihood during retirement.
    None of this stuff is unknown to the seasoned members of the MFO community. However, it just might be an eye opener for a few neophyte investors. An endless list of books exhaustively cover this topic. Within that array, I often recommend a freebie written by fund advisor Frank Armstrong. It is a clearly and concisely composed summary of the subject matter. The title of the book is “Investment Strategies for the 21st Century”. Here is a Link that will secure you a complimentary copy:
    http://thetaoofwealth.files.wordpress.com/2012/09/investment-startegies-for-the-21st-century-by-frank-armstrong.pdf
    I do not quarrel with much that Armstrong integrated into his investment and retirement guide. Enjoy.
    Recently I discovered that the Armstrong organization prepared several videos that succinctly summarize many of the tenets reported in his book. The following two Links provide the basic philosophy and rules that Armstrong advocates. Each is a little over 10 minutes in running length. Armstrong and his staff have remained constant proponents for an Index-dominated investment approach for decades. The EMH and MPT provide a semi-theoretical anchor for their philosophy. Here are the YouTube Links that are especially directed at folks nearing or entering retirement:

    The Link to the Part 2 session is:

    These videos have a concise crystal clarity that is expected when written and delivered by a man with military training and experience. The marching orders are clearly defined; the confusion factor is largely eliminated.
    You may not agree with the message, but the message is not muddied with spurious allusions to the gambling arena that are, at best, loosely coupled to the investment discipline.
    Armstrong emphasizes that costs and taxes always matter. Surely the croupier gets his share, but that can be mostly contained. When viewed globally, history demonstrates that it is not a zero sum game. It becomes a less-than-zero-sum game for the active fund cohort only when contrasted against a passively managed benchmark. That realization itself should be an approach selection buying signal for uncommitted investors.
    Frank Armstrong is decidedly in the globally diversified Index-product camp. He evaluated and rejected other investment policy options. William Bernstein, of Efficient Frontier fame and author of “The Four Pillars of Investing” strongly endorses Armstrong’s work and ethics. I mostly (not completely) join in that expanding chorus that now includes a growing group of institutional investors.
    Please take a few moments to explore the Links that I have assembled. In short order, they will reward you with valuable investment lessons.
    I grant that the lessons are not particularly kind or forgiving to the active fund management and investment advisor professions, but that is the commonsense conclusions arrived at from Armstrong’s extensive practical experience. There is still plenty of headroom for legitimate disagreement on this controversial subject matter.
    Happy New Year everyone.
    Best Regards.