Tag Archive | smartstops

MODERN PORTFOLIO THEORY IS HARMING YOUR PORTFOLIO

SmartStops comment:  an excellent article that every investor should read as MPT continues to be deeply entrenched in our systems.  Its shortcomings are proven.  The article concludes with:

The advice that most investment advisors give their clients – At its core, the message is usually something similar to this: “The markets are random and unpredictable, so the best way to invest is to properly diversify and wait for the averages to play out.”

However, what most investors seem to be unaware of is that this whole theory of random movement of market prices was proven false over 50 years ago by one of the most influential mathematicians of the 20th century, Benoit Mandelbrot. The random motion of market prices was a very nice theory, but it just doesn’t match what actually happens in the real world.

Some excerpts from JJ Abodeely, CFA’s article :   Modern Portfolio Theory Is Harming Your Portfolio

              1. MPT and the quantification of investing has further (mis)informed the debate by seeking a easy way to label and quantify “risk.” In 1952, Harry Markowitz chose variance or volatility of prices or returns to define risk. He did so because it was mathematically elegant and computationally simple. However, this idea has serious limitations (most of which Markowitz has since acknowledged).

              On the individual stock level, Vincent notes

Risk is often in the eye of the beholder. While “quants” (who rely heavily on MPT) might view a stock that has fallen in value by   50 percent over a short period of time as quite risky (i.e. it has a high beta), others might view the investment as extremely safe,   offering an almost guaranteed return. Perhaps the stock trades well below the cash on its books and the company is likely to         generate cash going forward. This latter group of investors might even view volatility as a positive; not something that they need to be paid more to accept. On the other hand, a stock that has climbed slowly and steadily for years and accordingly has a       relatively low beta might sell at an astronomical multiple to revenue or earnings. A risk-averse, beta-focused investor is happy to add the stock to his diversified portfolio, while demanding relatively small expected upside, because of the stock’s consistent track record and low volatility. But a fundamentally-inclined investor might consider the stock a high risk investment, even in a diversified portfolio, due to its valuation. There’s a tradeoff between risk and return, but volatility and return shouldn’t necessarily have this same relationship.

2.  After all, if you buy and hold the market you can earn the long-term returns right? Unfortunately, the answer to that is no. The long-term “average” returns are rarely available. In fact, depending on where you are standing, the returns are either much higher, or much lower. Consider this chart from Crestmont Research which shows that even for periods as long as 10 years, average rarely occurs:

10_yr_Rolling_Stock_Market_Return

3. Consider this chart which you’ve probably seen in one form or another. It shows expected risk and return of various mixes of asset classes and the typical approach to asset allocation which Modern Portfolio Theory has spawned:

Sample_Asset_Allocation_Risk_Expected_Returns

So what’s wrong with this picture? Lots of things.

The first is the inputs– namely expected returns and volatilities of various asset classes– most investment programs are built on logic like this:

  • Bonds will return 5% on average over the long-term but be between 0-10% in any given year
  • Stocks will return 10% on average over the long-term but be between -10% and +20% in any given year
  • Some might include other nuance regarding different types of bonds like High Yield or different types of stocks like Emerging Markets
  • Some might include different types of assets like real estate, commodities, or “alternatives”

The problem of course is this is an incomplete description of investment returns:

  • The math contends that returns are randomly and unpredictably distributed around the average
  • This “normal distribution” of returns contends that larger market movements outside of the ranges above will be relatively rare
  • “Average” returns ignore the role of valuation and the importance of when you start investing (buy) and when you finish (sell) even over multi-decade time horizons

The traditional approach to asset allocation is built on false axioms. The phenomenal secular bull market in stocks and bonds from 1982-1999 created the perfect conditions for the nearly religious acceptance of MPT. In a recent post, Expensive Markets Mean Low (or Negative) Prospective Returns, I made the case that valuation matters greatly and currently portend disappointing returns for both stocks and bonds. Traditional asset allocation has no way of dealing with this in a way that successfully protects portfolios from experiencing meaningful and unnecessary drawdowns.

Read JJ Abodeely, CFA’s article :   Modern Portfolio Theory Is Harming Your Portfolio in its entirety.

Blackstone’s James Says Debt, Equity Markets Overvalued

“We’re between the bottom of the seventh and the top of the eighth,” Marks said in a Bloomberg Television interview last week. “It’s time for the seventh-inning stretch. You have to have plenty of defense on the field today.”

SmartStops Comment:  Defense is the best Offense!

View complete article at: http://www.bloomberg.com/news/2014-09-09/blackstone-s-james-says-debt-equity-markets-overvalued.html?cmpid=yhoo

A New Risk Indicator To Sidestep Market Downturns: Is It Better Than VIX?

By Chris Georgopoulos, originally published on 11/14/11

Without question the most popular model to predict market crashes is the VIX, commonly referred to as the “Fear Gauge,” a market index that measures the implied volatility of the S&P 500 index options. Its concept is quite simple, when the uncertainty and fear among investors rises, they commonly run to the S&P 500 options to either hedge or speculate. The increased interest in the options usually leads to higher premiums and as the premiums increase so does the VIX. However, predicting the future isn’t 100% accurate, most of the time it’s not even close. Every forecasting model has its flaws and the VIX is not an exception. There are many problems skeptics have found with the VIX such as; its population study is limited to only the 500 stocks of the S&P 500 and” {the} model is similar to that of plain-vanilla measures, such as simple past volatility” (Wikipedia). A blog post on sensibleinvestments.com summarized the VIX as “simply an indicator of actual volatility in the market but one that is very sensitive to changes in actual volatility particularly if it is on the downside.” Is there a better way?

An elementary statistics theory states that the larger the population size, the greater the likelihood that the sample will be represented. If markets are graded by the performance of popular indexes such as the S&P 500, why limit a forecasting model’s population to only 500 stocks? The economy has become global; interactions from every corner of the world’s businesses affect every other business. If there is a model that forecasts market direction, should it limit itself to just the largest companies? As for only using a month or two of short term option premiums to garner a prediction, as the VIX does, it seems to limit itself to only a single variable. Instead of short term options premiums and limited samples what if we could measure real-time individual stock trend alerts on thousands of domestic and foreign stocks and ETFs? Or simply what if we analyzed the micro components (every stock) to develop a macro forecast of the market based off trends and risk?

By studying the history of risk alerts from SmartStops.net, an intelligent risk management service, two proven alternatives to the VIX were found. SmartStops.net has developed their own proprietary risk model that monitors the trends and risks to over 4,000 of the most popular stocks and ETFs. If the risks grow on any individual investment SmartStops.net alert their subscribers with both long and short term exit triggers. However not only do these alerts help individual and institutional investors manage specific investment risk, the reviews of the alerts themselves have predictive capabilities. By back-testing every alert that SmartStops.net has issued from their inception versus the S&P 500 performance, there is proof of this and the results speak for themselves.


There have only been 7 days for which the amount of Long-Term Exit Triggers (stop alerts) as a percentage of every stock and ETF covered by SmartStops.net has been over 20%. The subsequent market action of the S&P 500 has averaged a negative return for the time periods of 1 week, 1 month, 3 months, 6 months and a year. The 6 month average return is over -7% and when examined from the absolute lows of the S&P 500, the returns average over -19%. If you remove the knee-jerk market reactions caused by “Flash Crash” on 5-6-2010, the returns are even lower.
Another metric offered by SmartStops.net is their SRBI(tm) (SmartStops Risk Barometer Index); this index measures the current percentage of stocks and ETFs that are in “Above Normal Risk” state (ANR) divided by the 100 day average above normal risk percent. By definition, a stock that is listed ANR experienced a risk alert as its last SmartStop alert identifying a downtrend. Conversely, a stock that is listed in a “Normal Risk State” experienced a reentry alert as its last SmartStop alert indicating trading strength and an upward trend. Back-testing historical SRBI data since inception shows that the repercussions to the market when the percentage of downtrends increases to over 40% of all stocks and ETFs covered are profound. Below you will see that there have been only five occasions where this has happened. In each case the S&P returns for the following year were all negative.

Is this a better way?

Before a concrete conclusion can be determined, the predictive capabilities of the VIX must also be analyzed. Read More…

NETFLIX Investors – Did you Protect Yourself?

NETFLIX , NFLX, drops but SmartStops keeps investors and traders from major losses.

This is why Risk Management and Protection are a must in every investor and trader’s arsenal.   SmartStops triggered its short-term protection for Netflix at $74.13 at 9:32AM.  NFLX closes at $60.28 today, 7/25/12.

In the most recent Netflix downtrend SmartStops saved its clients  $42.46 per share!  

See chart at: http://www.smartstops.net/PublicPages/SmartStopsOnDemand.aspx?symbol=NFLX

 

Hedge fund leverage in the industry – how its grown

SmartStops comment:   Who watches out for the little guy?

A chart from MIT’s Andrew Lo of the growth of assets and hedge fund leverage over the last 20 years. You can see the expanding leverage in the 2001-2005 period.  originally posted at Infectious Greed blog.

Hedge Fund Leverage how-its-grown

Hedge_Fund_Leverage how-its-grown

Chicken or Egg? Risk Tolerance as a Driver of Financial Success

SmartStops would like to draw your attention to this article’s statement:    Overall, by taking more risk Bill can expect to be significantly better off.    As SmartStops will remind you, you can take on more risk by ensuring there is constant active oversight for it.  See other articles on that subject.   

 published originally at:  Advisor One by Geoff Davey, FinaMetrica

Many studies have shown that risk tolerance correlates positively with income and wealth. The correlations are not strong, usually around 0.3, but they seem to be universal.

There is a temptation to think that higher income and/or higher wealth lead to higher risk tolerance. However, there is always a danger in trying to read a cause and effect relationship into a correlation. To know for sure we would need to conduct a longitudinal study measuring risk tolerance, income and wealth as we went along.

Failing that, we can conduct a thought experiment. Suppose that Bill and Bob have different appetites for risk. Presented with a choice between taking a certain $100 and a 50/50 gamble of winning $0 or $X, Bill will take the gamble when X is $250 but Bob won’t take the gamble until it reaches $300. Looking at any single $250 gamble choice, Bill has a 50% chance of being no worse off than Bill.  However, if Bill and Bob are presented with a series of such choices, the longer the series runs the more certain it is that Bill will finish up better off than Bob. With a series of 10, Bill has an 83% chance of being no worse off than Bob and by the time we get to a series of 100 that chance has increased to 98%.  Over 10 choices, Bill will finish with $1,000 but Bob could expect to have $1,250, though he may have nothing or $2500.

Now suppose that Bill and Bob both started with a kitty of $1,000 and that rather than the choices being framed from a base of $100, they were framed from a base of 10% of the kitty at the time. For 10 choices, Bob’s kitty grows to $2,593 but Bill’s grows to an expected average of $3,260 and 62% of the time will be greater than $2,590. At worst Bill will have $1,000 and at best $9,300.

Overall, by taking more risk Bill can expect to be significantly better off.

So how does this relate to real life? Clearly, life’s choices are rarely as simple as in our example and rather than a series of identical choices we face a series of mainly different choices where there are usually more than two alternatives—and those alternatives will often include the possibility of losses. Further, the range of outcomes is often not clear and they must be estimated rather than calculated. Finally, we may make cognitive errors in assessing the situation and in identifying and evaluating the alternatives.

As we know from experience, risky choices take many forms and occur in different contexts including employment, borrowing, insurance and investment. For the riskier alternatives to be considered there would be a commensurately greater expected reward, but this will come with the possibility of an unfavorable outcome. The more risk tolerant amongst us will need less of an incentive to take the riskier alternatives. If we continue that pattern over time, all other things being equal, we should finish up better off.

So my hypothesis is that risk tolerance is a driver of financial success rather than the converse.

Valuations in Free-Fall: S&P 500 Cheapest Since 1957!

 originally published at Kapitall, who go on to identify potential stocks to play.

The Standard and Poor’s 500 index valuation has hit 25% below the average from the last nine recessions, even as price estimates continue to fall, according to Bloomberg‘s data. These estimates provide a statistically significant outlook on analyst expectations for future growth and the degree to which stocks might be considered undervalued.

Historically, market contractions have not reached these lows since 1957 when the gauge for American equities traded at 13.7 times forecast earnings. Today’s equities trade at 10.2 times 2012 forecast earnings and earnings estimates continue to fall to their lowest level since April.

“What you’re seeing is a growth scare,” Wayne Lin, a money manager at Baltimore-based Legg Mason Inc. “The question is, how much of that is priced in. I’d say that if we don’t have a double-dip recession, if earnings just stay flat, these valuations are reasonable. The market already expects those downgrades.” (via Bloomberg)

Unlike previous market crashes or recessions, this one has been relatively slow-going. In the previous nine quarters, companies prepared for further economic volatility and managed to exceed income forecasts after cutting costs and lowering debt. With lowered analyst estimates for 2012 companies will have an easier time hitting their mark.

Whether or not lowered earnings estimates makes today’s stock prices a bargain is an ongoing debate between bears and bulls. According to Rob Arnorr, founder of Research Affiliates LLC, “the measures by which stocks are cheap today rely on continued recovery and a continued surge in already peak earnings. It relies on a very shaky foundation.”

for stock picks, go  to Kapitall.

Follow

Get every new post delivered to your Inbox.

Join 1,018 other followers

%d bloggers like this: