ࡱ> U@ Tbjbj"jL$&,&j^p&&&&&&&$'R>*'&'&<&6"6"6"&6"&6"6"N"$%R ⭖b!:%%$R&0& %+!F+%%+%6"'&'& ^ "^Does Porfolio Rebalancing Help Investors Avoid Common Mistakes? by Steven L. Beach, Ph.D., and Clarence C. Rose, Ph.D. JFP may 05 Executive Summary Investing decisions driven by normal human behavior can have a devastating impact on long-term wealth accumulation. This article shows how portfolio rebalancing can mitigate some of that impact. Three common behavioral issues affecting investing are examined: herd mentality, regret aversion, and mental accounting. These behaviors often result in investors "chasing" performance. The authors compared a "chase portfolio," based on the previous year's best investment return segment, with a series of annually rebalanced portfolios using different allocations. They used three asset classes: large company stocks, long-term corporate bonds, and Treasury bills. The study first compared the two investing styles, chase and rebalance, based on returns of the three asset classes from 19262002. The chase portfolio had a lower Sharpe ratio than almost all of the rebalanced portfolios, and it did not generate sufficient additional returns to compensate for the higher risk. Only when allocation to stocks dropped lower than 25 percent did the chase portfolio outperform the rebalanced portfolio. The study found that even conservative investors shouldn't allocate less than 45 percent to stocks, a portfolio that had the highest Sharpe ratio. The study then examined the contrasting portfolio styles using rolling 20-year periods. Similar results were found: the chase portfolio outperformed the rebalanced portfolio only when the rebalanced portfolio's stock allocation was lower than 25 percent. Even for the 20-year period ending in 2002 with two devastating stock years, and where the chase portfolio would have done well because of bonds, the rebalanced portfolio provided slightly better returns. Steven L. Beach, Ph.D., is an assistant professor of finance in the College of Business and Economics at Radford University in Radford, Virginia. He can be reached at slbeach@radford.edu or (540) 831-5087. Clarence C. Rose, Ph.D., is a professor of finance in the College of Business and Economics at Radford University in Radford, Virginia. He has published numerous articles on personal financial planning, real estate finance and investment analysis, and investment strategies. He can be reached at crose@radford.edu or (540) 831-5185. Investing decisions driven by normal human behavior can have a devastating impact upon long-term wealth accumulation. Individual investors, and sometimes even professional fund managers, allow their emotions to get in the way of rational investment decision-making. As investors, our emotions often encourage us to buy and sell investments at the wrong time. Investors have a costly tendency to buy high and sell low, pouring more money into the market when it is up and selling when things look dire (Futrelle 2004). From a long-term wealth-accumulation standpoint, this is exactly opposite of what investors should do in order to enhance returns and accumulate wealth. This article presents an overview of some behavioral aspects of investor decision-making and examines the impact of portfolio rebalancing on reducing common investment mistakes and achieving investment goals. Returns from annually rebalanced portfolios with different asset allocation mixes are compared with the returns from portfolios that chase the past year's investment winners. The analysis uses geometric returns from the different portfolio styles to compare long-term investment portfolio performance. Investment Behavior Issues Behavioral finance is a rapidly growing area of study that examines a wide variety of human actions that affect investment performance. Many basic investment errors caused by human behavior have been cited to justify common strategies recommended by financial advisors. These investment strategies are portfolio rebalancing (Buetow et al. 2002), dollar-cost averaging (Statman 1995), and the "let it ride" strategy that is generally based upon the expectation of time diversification (Fisher and Statman 1999). In addition, research indicates that overconfident investors trade too much, diminishing their performance (Barber and Odean 2000), and that Internet trading leads to costly overconfidence (Odean and Barber 2002). Often cited in the investment research literature are several behavioral issues that influence investment performance. Issues discussed in this paper are herd mentality, regret aversion, and mental accounting. Herd Mentality The herd mentality reflects the natural tendency for individuals to do what is currently popular. The herd mentality feeds the penchant for investors to buy securities after the market has risen and sell securities when the market is down. Individuals tend to place more money into the stock market as fashion dictates that stock market investing is the "in" thing to do. "Herding is defined as a group of investors following each other into (or out of) the same securities over a period of time" (Sias 2004). The result is that investors who follow the crowd can miss opportunities to realize major gains. Individual investors are not alone in following the crowd. The herd mentality of institutional investors is also clearly documented (Nofsinger and Sias 1999). Regret Aversion People wish to avoid the pain of regret associated with bad decisions. This reaction is especially true in investment decision-making. We have a natural desire to avoid admitting an error and realizing a loss (Kahneman and Tversky 1982). Regret aversion can cause investors to hold onto losing positions too long. Regret aversion also keeps investors out of a market that has recently generated losses, when investment bargains may be most readily available. Having experienced stock market losses, our instincts tell us that to continue investing is not a prudent decision. Yet these periods of depressed prices often present the greatest buying opportunities. Regret aversion can persuade us to stay out of the stock market just when the time is right for investing more. Mental Accounting According to behavioral portfolio theory, mental accounting is used by investors to build portfolios as separate accounts. Experimental research indicates that investors do not consider the correlations among assets (Kroll, Levy, and Rapoport 1988). Tversky and Kahneman (1986) contend that the difficulty individuals have in addressing the interaction of different investments leads investors to construct portfolios in a layered pyramid format. Each layer of the portfolio addresses a particular investment goal, independent of the other investment goals. Investors target low-risk investments like cash and money market funds to preserve wealth, target bonds and dividend-paying stocks to provide income, and target risky investments like emerging market stocks and IPOs to have a chance to get rich. Opportunities to reduce risk by combining assets with low correlations may be neglected, and inefficient investing may result from offsetting positions in the various layers (Shefrin and Statman 2000). Investors quite often do not evaluate investments based on the contribution to the overall portfolio return and total risk, but only upon the recent performance of the asset layer. Investors may feel overwhelmed by the complexity of the investment environment. While wealth maximization is the generally accepted paradigm guiding investment decisions, a landmark study of the decision-making process shows that individual decision makers are more likely to "satisfice" than "maximize" (Cyert and March 1963). To maximize, an investor must select the best alternative from among all available options. This process is complex and time consuming and beyond the ability of most decision makers. But more decision makers merely look for a course of action that will suffice or that will be "good enough" within the overwhelming complexity of the real world (Simon 1955). Comparing Investment Returns: The Chase Versus Rebalanced Portfolios To examine the impact of human behavior on investment returns and the potential benefit of portfolio rebalancing as a structured investment strategy, we investigate the return performance of two styles of investing. One is the "chase portfolio," which is the approach of chasing the returns of the previous year's best investment return segment. The other style is one of rebalancing the portfolio annually to some predetermined weights among stocks, bonds, and cash (T-bills). It is generally asserted that investors can establish their proper allocation to the three asset classes according to their level of risk aversion and investment time horizon. In evaluating the investment returns, all calculations use geometric returns, as opposed to arithmetic returns. When applied to a portfolio, the use of geometric returns helps document the ending value of portfolios over their holding period. Transaction costs are not considered; however, it is likely that they would be relatively similar across the various investment portfolios. Data Analysis Our analysis uses the annual returns from 19262002 on three asset classes: large company stocks, long-term corporate bonds, and Treasury bills, all from the Ibbotson data (Ibbotson 2003). In the chase portfolio, 100 percent of the available investment funds are moved each year to the asset class with the highest previous year's return. The rebalancing portfolios contain weights varying from 100 percent in stocks to 100 percent in long-term bonds. The portfolios between the 100 percent extremes are constructed with a 5 percent allocation to T-bills. While approximately 90 percent of investors own some type of cash vehicle, such as T-bills or money market mutual funds, the preferred allocation for cash depends on a number of factors, including the investor's risk tolerance and investment time horizon (Davis 2004). In our analysis, we assume a long-term investment time horizon and a minimum need for liquidity. As a result, the allocation to cash remains constant at 5 percent and the stock and long-term bond allocations are adjusted at 10 percent increments. Performance Results Over the period of analysis, as expected, stocks provided the highest average annual return and the highest standard deviation of the three asset classes. T-bills provided the lowest average annual return and the lowest standard deviation of the three asset classes. The bonds' annual average returns and standard deviation fell in between. Bond returns had about the same correlation with the stock and T-bill returns (19.3 percent and 20.5 percent respectively), while the stock and T-bill returns are slightly negatively correlated (1.6 percent). Summary statistics are provided in Table 1. The Sharpe ratio (average excess return/standard deviation of return) was highest for the large-stock portfolio. Assuming investors make their decisions based on the risk and return trade-offs, this comparison suggests that stock investing performs better than bond investing. Over the 77 years analyzed, bonds produced higher returns than stocks in 30 years, T-bills produced higher returns than stocks in 29 years, and stocks produced the highest returns in 44 years.  INCLUDEPICTURE "http://www.fpanet.org/journal/articles/2005_Issues/images/773919.jpg" \* MERGEFORMATINET  As shown in Table 2, the highest portfolio returns are for the 100 percent stock portfolio (10.19 percent), but the stock-only portfolio also had the highest standard deviation (20.63 percent). The 45 percent stock portfolio has the highest Sharpe ratio, providing the highest return premium per unit of risk. The chase portfolio has a lower Sharpe ratio than almost all of the rebalanced portfolios. The chase portfolio did not generate additional returns sufficient to compensate investors for the higher risk.  INCLUDEPICTURE "http://www.fpanet.org/journal/articles/2005_Issues/images/27791395.jpg" \* MERGEFORMATINET  To examine a more relevant set of results for many investors, we have continued the analysis with an assumed 20-year investment time horizon (Table 3). Now, the results for each portfolio are for 57 observations of 20-year investments, with annual rebalancing. The first observation for each portfolio is the 19271946 period and the last observation is the 19832002 period.  INCLUDEPICTURE "http://www.fpanet.org/journal/articles/2005_Issues/images/79842376.jpg" \* MERGEFORMATINET  The 100 percent stock portfolio provides the highest average annualized 20-year return (11.43 percent), combined with the highest average standard deviation of the returns (18.13 percent). Investors with the greatest risk aversion over a 20-year time horizon would have best invested 45 percent in stocks, which provided a minimum rebalanced portfolio return performance of a relatively solid 4.62 percent over a 20-year period with a standard deviation of 10.04 percent. The risk and return trade-off suggests that even for conservative investors, it may be undesirable to allocate less than 45 percent to stocks. The chase portfolio generated an average return (7.62 percent) similar to the rebalanced portfolios with 25 percent to 35 percent allocations to stocks, though its standard deviation (13.22 percent) was more aligned with the higher stock allocation portfolios. No portfolio suffered a loss for any 20-year investment period. For any allocation of 75 percent or more to stocks, the rebalanced portfolio produced a higher ending wealth than the chase portfolio in at least 53 of the 57 20-year investment holding periods. Since these average returns and standard deviations are from overlapping observations, which limits statistical inference, the remaining discussion will primarily focus on average, minimum, and maximum returns. Acknowledging this statistical limitation, it is useful to examine the efficient frontier of the different asset allocations and the chase portfolio for the 20-year returns. As shown in Figure 1, it appears that the chase portfolio would not be a likely choice for any risk-averse investor, due its low return relative to its risk.  INCLUDEPICTURE "http://www.fpanet.org/journal/articles/2005_Issues/images/82509719.jpg" \* MERGEFORMATINET  Table 4 presents the portfolio results in dollar amounts assuming a $1,000 investment with a 20-year time horizon. The 20-year investment time horizon results suggest that investors can maximize portfolio value by placing all investments in stocks; however, most of us need a greater level of security than that provides. The best minimum ending portfolio value of $2,469 was earned by the portfolio with the 45 percent stocks, 50 percent bonds, and 5 percent T-bills versus $1,750 for the chase portfolio. By chasing last year's investment winners, investors received at best an ending portfolio value of $10,702 over any 20-year investment period, versus $26,816 for an all-stock portfolio. The chase portfolio return is comparable only to rebalanced portfolios with less than 25 percent in stocks. For investors who recognize the risk of this active and aggressive approach, the long-term payoff from the chase portfolio would not be satisfactory.  INCLUDEPICTURE "http://www.fpanet.org/journal/articles/2005_Issues/images/41820360.jpg" \* MERGEFORMATINET  Finally, when we consider the last 20-year period, running from 1983 to the end of 2002, all rebalanced portfolios with stock allocations of 35 percent or more outperformed the chase portfolio even though the last two years were particularly devastating for the stock returns. For 2001 and 2002, stock returns were 11.88 percent and 22.1 percent. With the chase portfolio in those two years, the returns would have been 10.65 percent and 16.33 percent with a 100 percent investment in the bond market. The chase portfolio also had returns of 23.07 percent, 33.36 percent, 28.58 percent, and 21.04 percent with 100 percent stock allocation in 19961999. It is quite impressive that the rebalanced portfolios provide slightly better returns over the 20-year period that ended on such a weak note for stocks. Summary and Conclusions In summary, for a 20-year investment time horizon and for the risk involved, the chase portfolio had relatively weak returns. When rebalanced annually, only the most conservative asset allocation portfolios provided lower returns than the chase portfolio. These historical results should be of great interest to investors who may be tempted to chase last year's investment winners and to financial planners who may be asked by their clients to chase the market. Based on historical investment results, an allocation of 45 percent to stocks provided the best risk-and-return trade-off, measured by the Sharpe ratio. It also produced the largest minimum return over a 20-year investment horizon. Allocating a greater proportion to stocks provided higher average returns with higher risk. Thus, an allocation of 45 percent to stocks in rebalancing portfolios may be viewed as the minimum stock investment for achieving a long-term goal of maximizing wealth over a 20-year investment time horizon. It appears that the forced discipline of portfolio rebalancing, with a significant allocation to stocks, can help investors achieve long-term investment goals and help investors avoid behavioral investment mistakes. References Barber, B. and T. Odean. 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors." Journal of Finance 55: 773806. Buetow, G., Jr., R. Sellers, D. Trotter, E. Hunt, and W. Whipple, Jr. 2002. "The Benefits of Rebalancing." The Journal of Portfolio Management. Winter: 2332. Cyert, R. M. and J. G. March. 1963 A Behavioral Theory of the Firm. Prentice Hall. Davis, J. H. 2004. "Cash Management in a Low but Rising Rate Environment." Journal of Financial Planning  HYPERLINK "http://www.fpanet.org/journal/articles/2004_Issues/jfp0704.cfm" July: 4450. Fisher, K. and M. Statman. 1999. "A Behavioral Framework for Time Diversification." Financial Analysts Journal 55, 3 (May/June): 8897. Futrelle, D. 2004. "Build Wealth in Any Market." Money September: 8387. Ibbotson Associates. 2003. Stocks, Bonds, Bills and Inflation: 2003 Yearbook. Kahneman, D. and A. Tversky. 1982. "The Psychology of Preferences." Scientific American January: 160173. Kroll, Y., H. Levy, and A. Rapoport. 1988. "Experimental Tests of the Separation Theorem and the Capital Asset Pricing Model." The American Economic Review 78 (June): 500519. Nofsinger, J. and R. Sias. 1999. "Herding and Feedback Trading by Institutional and Individual Investors." Journal of Finance 54, 6 (December): 22632295. Odean, T. and B. Barber. 2002. "Online Investors: Do the Slow Die First?" The Review of Financial Studies 15, 2: 455487. Simon, H. A. 1955. "A Behavioral Model of Rational Choice." The Quarterly Journal of Economics 69 (February): 99118. Shefrin, H. and M. Statman. 2000. "Behavioral Portfolio Theory." Journal of Financial and Quantitative Analysis 35, 2 (June): 127151. Sias, R. W. 2004. "Institutional Herding." The Review of Financial Studies 17 (Spring): 165206. Statman, M. 1995. "Behavioral Framework for Dollar-Cost Averaging." Journal of Portfolio Management 22, 1 (Fall): 7078. Tversky, A. and D. Kahneman. 1986. "Rational Choice and the Framing of Decisions." 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