How to Mislead: Using Wrong Statistics

February 2, 2013

Investment Newsletter for the end of January, 2013

Today is about how to cheat with numbers. The wrong statistical tool, or the right tool used the wrong way, can be misleading. I am not necessarily implying evil intent. You may have just messed up.

I am absolutely certain that the market (The Dow) usually goes down the day before month end and usually goes up the day after month end. My investment management fees are lower as a result. I have been laughing with my wife for five years about the conspiracy to reduce my income.

My son works for me now. I had him prepare a data series for the last 10 years (actually 121 months). It was a huge amount of work and thank goodness I didn’t have to do it. And I am right. The Dow went down 56% of the last days of each month. It only went up 44% of the time. So where is my screw up? I ignored the size of the ups and downs. It turns out the average over the last 121 months was a net GAIN of 29 points. The ups were much bigger than the downs. Behaviorally, humans remember the number of good events and bad events but not the importance of each event.

What about the day after billing, the day after month end? I am absolutely certain that the market goes up. And, I am right. 74 times out of 121 months, 61% of the time, it went up. Am I making the same emotional mistake? It turns out I am not. The market averaged a gain of 79 points.

Lesson number one: The number of up and down periods is meaningless.

But what about that gain? Have I discovered something new? Can I time the market by buying on the last day of each month and selling on the next day? Ten years of statistics says yes. Even after commissions, I wouldn’t burn off 79 points. Now, I know full well that I haven’t discovered anything. I am using the tool incorrectly. Ten years is not a big enough sample. I can not prove that. But I will add another ten years (1992 to 2002) to the data series soon and report back to you. I would be shocked if the gains didn’t disappear with a longer sample.

Lesson number two: Sample size matters. Bigger samples are better than smaller ones. Short time periods are suspicious.

If it was true, the automatic trading programs that many firms use would buy the day before and sell on the first day, just like I am suggesting. The computers can certainly spot the trends. Because of all the buying, the price would go up more on the buy day. All the sales orders on the sell day would force the price down. The net effect would wipe out the 79 points before your alarm even rang in the morning. Remember the stock market is an auction where the price goes up or down because of supply and demand.

Lesson number three: If there was market inefficiency this obvious, it would disappear immediately.

It was excellent month in the market. Thank-you for your continued trust. Please call if you have any problems or questions. I will do everything I can for you. It is also now tax time. Call also with your tax questions.

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Correct Investing is Multi-Year Long Term

Correct investing is multi-year long term. Trading is never about out guessing the market. It is about your risk, about rebalancing, and about cash flow. Trading should be occasional at most. Commissions should be discount. Commissions destroy portfolios. The research is all available on the internet for free and it is old and of thus of little value before it is ever published. Concerning market pricing, information becomes obsolete in at most one day. Correct investing is following the plan and turning off the white noise.

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An Excuse for Every Day

Day by day, the swings recently were dramatic (or melodramatic) as everyone’s fear and greed alternated in power. So far in November, there have been a horrible day (the Greek Crisis), and two great days (the Greek Crisis). Over the last several months, I have heard Greece used as an excuse dozens of times. I sometimes wonder if the market watchers make up the reasons after the swing. If the market goes way up tomorrow, somewhere there is a good economic report to blame. There will also be bad economic reports for the other kind of market. There are almost always bad and good economic reports every day. The reason, however, is irrelevant. Fear and greed are the cause of the daily fluctuations. And irrational behavior cannot be predicted.

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TV Overblows Investment News

The market swings cannot be predicted. The TV and internet stock reports exist by amplifying the excitement of the day. Ask yourself what would be the ratings of a Market Watch type TV program that announced “nothing relevant happened today. There was lots of talk overseas about an economy you have almost no exposure to. Daily fluctuations are meaningless white noise anyway.” Would you watch this boring program?

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Gold is This Year’s Bubble

Gold is this year’s bubble and historically has been a very dangerous investment. It has very wide swings in value and could go down as quickly as it has gone up. Look at the last big swing as an example. At the beginning of 1977, gold was at $100 per oz. Three years later at January, 1980, it was nearly $700. It looked like a sure winner. There was a bad recession, a bad stock market, lots of inflation and everybody ran to gold because they were afraid and because they were greedy. It stayed there about a year and then collapsed. By late 1982, it was $300. It had dropped to less than half in just over a year. Gold turned into a disaster not a sure winner. Many people were hurt. During the next twenty years, it touched $500 twice briefly and then immediately collapsed again. It did not hit $700 again for over twenty years. In 2001, it was down to $275.

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Investment Basics: The Case for Index Funds

Very few mutual funds beat their index in any year. Over five years, almost none have done so. These mutual funds have expensive managers (and expensive research). Unfortunately for the shareholders, the managers do not add as much value as their expense. The question is: why not buy the index itself? Index funds have almost no management fees, have no front or back loads, and beat virtually all managed mutual funds.

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Technical Trading and Why It’s Nonsense

Technical trading is a method to extract as much commission from you as possible. Often, brokers will use terms like the “stock is above its 30 day average”, “head and shoulders”, etc. Technical trading claims to be able to predict stock market direction based on past relationships from graphs and lines on the chart. The claim is false, as the movements of individual stocks are random. How a stock moved in the past has no effect on how it moves in the future.

In general, the commission for stock trading can be many times greater than what you may think. One part of the commission is the advertised price: $9.99 per trade. A much larger part is the spread. For instance, if you order a stock sold at $40.00, brokerage firms do not actually sell until it is a little past that point (say $40.125 or more). They only give you $40, less commission, and keep the difference. If you order a stock at $40.00, brokerage firms do not buy until it is a little below that point (say $39.875 or less). They charge you $40.00 plus commission but only spent $39.875.

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Risk vs. Return

The first rule of finance is that there is no free lunch. Risk and return are related. You cannot have more return without taking more risk. Risk-free investments yield little or no return (like money market accounts). Very risky investments on average have the potential to yield high returns but are very volatile. You may even lose the entire investment. Thus, risky investments should be held within mutual funds.

There are two kinds of risk.

The first kind of risk can be managed through diversification. If I own an index fund that has 500 big companies (like the S&P 500), one company’s disaster (the BP oil rig explosion, for example) will not affect the index much. If I own BP stock directly, I will get hurt.

The second kind of risk is system-wide. If economic or political events cause the entire market to fluctuate, it affects all stocks.

Diversification does not counteract system-wide risk but can help manage non-system risk.

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