The Evidence-Based Investor

Tag Archive: Kien Wei Siah

  1. Men are more likely to panic than women

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    By LARRY SWEDROE

     

    Since behaviour can have an even larger impact on returns than investment policy (asset allocation), the study of investor behaviour is a rich field for academics to mine. An interesting question is whether institutional investors, generally considered to be sophisticated, behave differently from individual investors, generally considered to be “naïve”.

    Andrew Lo, Alexander Remorov and Zied Ben Chaouch, authors of the January 2019 study Measuring Risk Preferences and Asset-Allocation Decisions: A Global Survey Analysis, sought to answer that question. Among their key findings was that individual investors tend to mostly extrapolate past performance in their asset allocation (they are subject to recency bias), while institutional investors are mostly contrarian in their investment decisions (rebalancing leads to selling during bull markets and buying during bear markets) — and the differences in the reactions were highly statistically significant and very large. These findings held around the globe.

    As an example of the differences in behaviour, they found that following a decline in the S&P 500 of 10-20 percent, while 44 percent of individuals would decrease equity allocation, just 17 percent of  institutions would do so. At the same time, 67 percent of institutions and 52 percent of advisors would increase equity allocation versus just 17 percent of individuals. With a rise in the S&P 500, the results reversed: For individuals, 30 percent would decrease allocation and 32 percent would increase it versus 68 percent and 9 percent for institutions. Thus, on average, individual investors would change their allocation in the same direction as a recent S&P 500 move (recency bias), while institutional investors would change their allocations in the opposite direction.

    In other words, institutions were likely rebalancing, adhering to their asset allocation plans, while individuals were performance chasing, leading to panic selling during bear markets. This was especially true of younger investors.

    Their questions also allowed the authors to identify five distinct types of individual investors: passive investors, extrapolators, risk avoiders, contrarians and optimistic investors. They found: 

    • Extrapolators (27 percent) tend to decrease their equities allocation following bad market performance and increase it following good returns, extrapolating past trends. 
    • Passive investors (35 percent) leave their allocation unchanged in both scenarios. 
    • Risk avoiders (19 percent) significantly cut their equities allocation when they see large moves in the S&P 500 in either direction. This group had the lowest average age, predominantly consisting of millennials.
    • Contrarians (8 percent) tend to increase their equities allocation following bad market performance and decrease it following good returns — they act like institutional investors. 
    • Optimistic investors (11 percent) tend to increase their allocation in either scenario. The U.S. has the highest percentage of investors in this cohort.

    Based on their findings Lo, Remorov and Ben Chaouch concluded: “Because individual investors tend to have extrapolative reactions, while institutional investors tend to have contrarian ones, we conclude that institutions generally take the other side of individual investor trades in broad asset allocations.” 

     

    New evidence

    Daniel Elkind, Kathryn Kaminski, Andrew Lo, Kien Wei Siah and Chi Heem Wong contribute to the behavioral finance literature with their study When Do Investors Freak Out? Machine Learning Predictions of Panic Selling, published in the Winter 2022 issue of The Journal of Financial Data Science. Using a dataset of 653,455 individual brokerage accounts belonging to 298,556 households, they documented the frequency, timing and duration of panic sales, defined as a decline of 90 percent of a household account’s equity assets, of which 50 percent or more was due to trades, over the course of one month. Their data sample covered the period 2003-2015. Following is a summary of their findings:

    • Although panic sales are infrequent, with only 0.1 percent of investors panic selling at any point in time, they occur at up to three times the baseline frequency when there are large market movements.
    • Nine percent of households engaged in panicked selling across the 13 years between January 2003 and December 2015. Of those who “freaked out”. 81 percent did so once, 11 percent did so twice, and the remainder did so more frequently (see chart below).
    • 31 percent of investors who panic sold never returned to reinvest in risky assets — of those who did, 59 percent re-entered the market within five months, and 13 percent did so within ten months. 
    • A higher proportion of investors who were male, above the age of 45, married, or had a greater number of dependants tended to freak out. 
    • Those who declared themselves to have excellent investment experience or knowledge were more prone to engage in panic selling. Those who declared themselves to have no investment experience were less likely to panic sell or freak out.
    • Although decreasing the thresholds increases the number of panic sales identified across all time periods, there is still a disproportionate number of accounts that panic sell in periods of high financial stress.
    • Artificial intelligence techniques can identify individuals at risk of panic selling in the near future when given the demographic characteristics of the investor, their portfolio histories, and current and past market conditions — the best-performing deep neural network achieved a 70 percent true positive accuracy rate and an 81 percent true negative accuracy rate.

     

    Panic sales

     

    The authors noted that panic selling acts as a stop-loss mechanism in rapidly deteriorating markets, and that can prove beneficial. However, that depends on investors returning to the market in a timely fashion (selling means you have to be right twice), and they found that almost a third of those who engaged in panic selling never returned. They also found that the median investor earned a slightly negative return after liquidating.  

     

    Investor takeaways

    While academics have identified many anomalies for asset pricing models, I believe the greatest anomaly of them all is that while investors idolise Warren Buffett, so many of them not only ignore his advice to avoid timing the market but also his advice (if they cannot resist that temptation) to “be fearful when others are greedy and greedy when others are fearful”. In other words, they tend to do the opposite. In addition, most financial advisers have long advised their clients to stay calm and stick with their well-thought-out plan that anticipates bear markets, weathering any passing financial storm in their portfolios. Instead, far too many individual investors engage in panic selling.

    One likely explanation for their “freaking out” is that the investors were overconfident of their ability to deal with the stress created by sharp declines. The finding that males are more prone to panic selling should not be a surprise, as research has found that men tend to be more confident of their skills (skills they don’t have) than women.

    Another unsurprising finding is that those who declared themselves to have excellent investment experience or knowledge were more prone to engage in panic selling. Overconfidence leads to expensive mistakes. I suggest you ask yourself which of the five individual investor types best describes your own past behavior. If you are honest, that knowledge should help you determine the right allocation for risk assets, like stocks, for your portfolio. 

     

    For informational and educational purposes only and should not be construed as specific investment, accounting, legal, or tax advice.  Certain information is based upon third party data which may become outdated or otherwise superseded without notice.  Third party information is deemed to be reliable, however its accuracy and completeness cannot be guaranteed. By clicking on any of the links above, you acknowledge that they are solely for your convenience, and do not necessarily imply any affiliations, sponsorships, endorsements or representations whatsoever by us regarding third-party websites. We are not responsible for the content, availability or privacy policies of these sites, and shall not be responsible or liable for any information, opinions, advice, products or services available on or through them. The opinions expressed by featured authors are their own and may not accurately reflect those of the Buckingham Strategic Wealth® or Buckingham Strategic Partners®, collectively Buckingham Wealth Partners. Neither the Securities and Exchange Commission (SEC) nor any other federal or state agency have approved, determined the accuracy, or confirmed the accuracy of this article. LSR-22-237

     

    LARRY SWEDROE is Chief Research Officer at Buckingham Strategic Wealth and the author of numerous books on investing.

     

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  2. Business leaders and clergy more likely to panic sell — study

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    One of the fascinating things about behavioural finance is that its findings are often the opposite of what we would expect. A new study on which investors are most likely to freak out when stock markets tumble is a perfect example. You’d think that members of the clergy, business owners and company executives would be less likely to panic, but apparently the opposite is true. LARRY SWEDROE has the details.

     

    Behavioural finance has documented a wide range of mistakes individual investors make that are caused by biases such as loss aversion, recency and overconfidence. My book, Investment Mistakes Even Smart People Make and How to Avoid Them, documented 77 mistakes individual investors make, many with behavioural causes and others due to lack of knowledge. One of the most common is that despite standard investment advice to the contrary, individuals often engage in panic selling, liquidating significant portions of their risky assets in response to large losses.

    Daniel Elkind, Kathryn Kaminski, Andrew Lo, Kien Wei Siah and Chi Heem Wong contribute to the behavioural finance literature with their August 2021 study, When Do Investors Freak Out? Machine Learning Predictions of Panic Selling. They analyzed the investment activity of 653,455 individual brokerage accounts belonging to 298,556 households spanning the period 2003-2015. They defined “freaking out” as occurring after a portfolio value decline of 90 percent in one month and the investor selling half of the portfolio within that month. They defined re-entering the market as occurring when the portfolio recovered to 50 percent of its pre-liquidation value and the investor buys at least half of what was previously sold. Following is a summary of their findings:

    • There were 36,374 panic sells by 26,852 household investors (9 percent of all households) across a period of 13 years between January 2003 and December 2015.
    • While panic sales are infrequent, with only 0.1 percent of the investors panic selling at any point in time, they occur at up to three times the baseline frequency when there are large negative market movements — a disproportionate number of households make panic sales when there are sharp market downturns, the phenomenon of freaking out.
    • Of households with at least one panic-selling event, 21,706 of them (81 percent) did so once within the sample period, while 3,081 (11 percent) did so twice.
    • 31 percent of the investors who panic sold never returned to reinvest in risky assets. However, of those that did buy stocks again, 59 percent reentered the market within five months and another 13 percent returned within ten months. 
    • Investors who are male, or above the age of 45, or married, or have more dependents, or who self-identify as having excellent investment experience or knowledge tended to freak out with greater frequency.  
    • The occupational groups with the three highest risks of panic selling were self-employed, owners and real estate. 
    • Lowering the triggers for freaking out (they tested 50 percent and 25 percent drops in the value of a portfolio) increased the number of panic sales identified but did not change the general pattern exhibited by household investors.

    Elkind, Kaminski, Lo, Siah and Wong also found that the median investor earned a zero to negative return after freaking out because while freaking out does protect investors during a crisis, such investors often wait too long to reinvest, causing them to miss out on significant profits when markets rebound. For example, an investor who liquidated at the start of the Great Financial Crisis and held out for more than 34 months after liquidation would have missed the post-2009 market rally and forgone potential profits. The bottom line is that freaking out is suboptimal behaviour. Of particular interest was that investors who identified themselves as having excellent investment experience freaked out more than twice as often as those who identified as having no experience — demonstrating that overconfidence is an all-too-human trait.

    Elkind, Kaminski, Lo, Siah and Wong also used logistic regression and deep neural network techniques to develop machine learning models to predict when investors might panic sell in the near future. Their set of predictive features included the demographic characteristics of the investor, their portfolio histories, and current and past market conditions. Their best-performing deep neural network achieved a 70 percent true positive accuracy rate and an 81 percent true negative accuracy rate, “demonstrating that artificial intelligence techniques can assist in identifying individuals at risk of panic selling in the near future.” Among the most important predictive variables were:

    • Being young or elderly decreased the risk of panic selling, as did being disabled or a minor.
    • Declaring oneself a member of the clergy, an owner or an executive increased the likelihood of panic selling, as did having self-declared excellent investment experience.
    • The likelihood of a panic sale increases with the percentage of daily trades made by the investor. 
    • An investor will be more likely to panic sell if options compose a larger proportion of the entire portfolio.

    Elkind, Kaminski, Lo, Siah and Wong demonstrated that panic selling and freaking out are distinct behavioural patterns in finance that differ from other previously studied patterns. For example, in contrast to overtrading, investors who made panic sales did so infrequently. It would be interesting if the authors had been able to determine if there was a different rate of freaking out among investors with a written investment policy statement and those without such a statement that included recognition of the risks of severe bear markets and a policy that required rebalancing during such periods. 

     

    Investor takeaway

    The takeaway for investors is to make sure you have a written plan that accepts the virtual inevitability of severe market declines and defines the actions you commit to take when they occur (such as rebalancing and tax loss harvesting). The evidence also provides a warning to make sure you stress test yourself and your ability to avoid panicked selling, as the findings make clear that overconfidence increases the risk of freaking out.    

     

    Important Disclosure: The information presented here is for educational purposes only and should not be construed as specific investment, accounting, legal, or tax advice. Certain information is based upon third party data which may become outdated or otherwise superseded without notice. Third party information is deemed to be reliable, but its accuracy and completeness cannot be guaranteed. By clicking on any of the links above, you acknowledge that they are solely for your convenience, and do not necessarily imply any affiliations, sponsorships, endorsements or representations whatsoever by us regarding third-party websites. We are not responsible for the content, availability or privacy policies of these sites, and shall not be responsible or liable for any information, opinions, advice, products or services available on or through them. The opinions expressed by featured author are their own and may not accurately reflect those of Buckingham Strategic Wealth® or Buckingham Strategic Partners®, collectively Buckingham Wealth Partners. LSR-21-143

     

    LARRY SWEDROE is Chief Research Officer at Buckingham Strategic Wealth and the author of numerous books on investing.

     

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