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Sometimes, Investment Ignorance Is Bliss

Avoiding the temptation to know the unknowable.

The Presidential Premise Recently, I overheard somebody crediting the economy's strength to the president. Under Donald Trump, the argument ran, businesses have recaptured their "animal spirits" and are acting with renewed confidence, which has stimulated job creation, thereby sparking the stock market. In addition, companies are benefiting from January's tax cut.

Such claims are difficult to corroborate. Nobody measures the animal spirits of corporate executives, nor can the effect of a single factor on the economy be readily judged. Even if U.S. job growth had accelerated since January, it would be speculative to credit that change to the tax bill. It is more speculative yet when such an event has not occurred.

One possible test of the Presidential Premise, as we shall call it, was this Wednesday's stock market performance. If the business community has been heartened by presidential actions, then it presumably would been discouraged by Tuesday's election results, which thoroughly spiked the idea of further tax cuts. That did not happen; stocks rallied sharply.

Competing Theories Not that the opposition should declare victory. It would be no more believable to claim that the stock market saluted the Democratic victory in the House of Representatives than it would be to claim that equities rose because buyers were pleased that the Republicans retained the Senate. Neither claim makes much sense. If anything, the results suggest that investors desire federal gridlock.

(An alternative explanation is that stocks surged because the market does desire gridlock. With a divided government, goes the theory, the two sides will forge a compromise that is better than what either could achieve on its own. This narrative is unconvincing. Without question, the House will launch a series of investigations of the executive branch. When that happens, the president stated, he will adopt a "warlike posture." Few compromises would seem to be forthcoming.)

The final justification offered for Wednesday's rise, which most reporters offered, was that the election's results removed the election's "uncertainty." That account, too, strikes me as less than credible. There was no doubt that an election would occur; and there was no doubt that its results would land within a narrow range, with the two parties roughly splitting the Senate and House. What uncertainty existed to dispel?

Just Say No Which leads to this column's point: Avoid analyzing stock-market movements. Equities cannot be interviewed. They cannot explain why they behaved as they did. Nor are scientific explanations possible. What remains are stories that can easily be deconstructed. They tell much about the speaker, but little about reality.

This sounds simple. Shrug off stock market fluctuations, because their signals are illusory. One might as well try to interpret the pattern of several dozen coin flips. If the first eight flips of a sequence are heads, heads, heads, tails, heads, heads, heads, and tails, that doesn't mean that a seventh heads will be coming. Or that another tails is overdue. The pattern does not exist.

(The analogy is imperfect because, unlike coins, people act with purpose. There are reasons why the stock market rises or falls. However, if those reasons either cannot be divined, or can be understood but contain no additional information--for example, stocks decline when the monthly inflation report is higher than expected--then the comparison holds, despite that difference. Whatever insight the market's movement seems to contain, it does not.)

Breaking the Habit In my experience, however, the lesson does not come easily. I spent many years diligently following the Dow Jones Industrial Average's daily change, then attempting to determine what lay behind that day's behavior. Perhaps the markets had sent a signal? Maybe that long-awaited rally had finally begun. Or, conversely, the latest loss of a two-week downturn suggested the arrival of the next bear market.

Breaking that habit required acknowledging my errors. It meant realizing that for each time when the market acted as I expected, based on my reading of the recent tea leaves, there was another time when it did not. I possessed no insight. Nor did others. Our apparent forecasting successes were random events, the coin turning up heads, with those of us who had anticipated such a result savoring our sagacity.

More to Learn I was reminded of this by another recent conversation, with an investor who told me that she checks her portfolio three times each trading day. She was surprised to hear that I had not done so for more than a week. (We were each on vacation.) As it turned out, it was an eventful period: The Dow had dropped 1,000 points. But what would I have gained from knowing that? And what can she learn from her thrice-daily inquiries?

Nothing, I should think. Perhaps worse than nothing. There's always the chance that closely monitoring stock market changes, and attempting to think through their implications, could lead to portfolio trades. Such actions would have an expected value of zero before taxes and trading costs, and a negative value afterward. Worse yet, the anxieties caused by such trades might eventually lead the investor to reduce her equity stake.

Of course, I am not immune to such impulses. Should equities plunge, as on Black Monday 1987, I would snap to attention. Whether I would act on that information is unclear--aside from some tax-loss sales, I made no trades during the 2008 financial crisis--but I would certainly investigate the problem. It would seem irresponsible to pretend as if the decline had not occurred, without attempting to understand its causes.

Such assiduity is likely a fault rather than a boon. The ideal stockholder, I suspect, doesn't even sweat the catastrophes. He understands that attempting to decipher clues from huge stock market movements is no sounder than doing so from small ones. Therefore, he resists all such analysis. He just plods ahead, holding the same portfolio, as if the disaster had not occurred.

Well, nobody's perfect.

John Rekenthaler has been researching the fund industry since 1988. He is now a columnist for Morningstar.com and a member of Morningstar's investment research department. John is quick to point out that while Morningstar typically agrees with the views of the Rekenthaler Report, his views are his own.

The opinions expressed here are the author’s. Morningstar values diversity of thought and publishes a broad range of viewpoints.

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About the Author

John Rekenthaler

Vice President, Research
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John Rekenthaler is vice president, research for Morningstar Research Services LLC, a wholly owned subsidiary of Morningstar, Inc.

Rekenthaler joined Morningstar in 1988 and has served in several capacities. He has overseen Morningstar's research methodologies, led thought leadership initiatives such as the Global Investor Experience report that assesses the experiences of mutual fund investors globally, and been involved in a variety of new development efforts. He currently writes regular columns for Morningstar.com and Morningstar magazine.

Rekenthaler previously served as president of Morningstar Associates, LLC, a registered investment advisor and wholly owned subsidiary of Morningstar, Inc. During his tenure, he has also led the company’s retirement advice business, building it from a start-up operation to one of the largest independent advice and guidance providers in the retirement industry.

Before his role at Morningstar Associates, he was the firm's director of research, where he helped to develop Morningstar's quantitative methodologies, such as the Morningstar Rating for funds, the Morningstar Style Box, and industry sector classifications. He also served as editor of Morningstar Mutual Funds and Morningstar FundInvestor.

Rekenthaler holds a bachelor's degree in English from the University of Pennsylvania and a Master of Business Administration from the University of Chicago Booth School of Business, from which he graduated with high honors as a Wallman Scholar.

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