5 Elements of a Successful Portfolio Strategy

“I will tell you how to become rich. Close the doors. Be fearful when others are greedy. Be greedy when others are fearful.”  – Warren Buffett

Much advice is available on how to become a successful investor. Some suggestions are useful while others are less so or even counterproductive. For example, here are a few other quotes from Warren Buffett, who some consider the greatest investor of all time, that offer sage advice.

  • ‘The first rule is not to lose. The second rule is not to forget the first rule.’
  • ‘Risk comes from not knowing what you’re doing.’
  • ‘Great investment opportunities come around when excellent companies are surrounded by unusual circumstances that cause the stock to be misappraised.’
  • ‘For some reason, people take their cues from price action rather than from values. What doesn’t work is when you start doing things that you don’t understand or because they worked last week for somebody else. The dumbest reason in the world to buy a stock is because it’s going up.’
  • ‘Most people get interested in stocks when everyone else is. The time to get interested is when no one else is. You can’t buy what is popular and do well.’

The world of investing can be cold, hard, and unforgiving. But if you do thorough research, avoid cognitive biases, and follow some straightforward but effective guidelines, you can improve your chances of long-term success. Our purpose is to provide several key elements that can help you develop a successful portfolio strategy and therefore avoid some pitfalls in investing. Although the discussion here is necessarily brief, much more details are available in our latest book Portfolio Theory and Management, which Oxford University Press recently published.

 

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What is Portfolio Strategy?

Simply put, portfolio strategy is a roadmap by which investors can use their assets to achieve their financial goals. Portfolio theory refers to the design of optimal portfolios and its implication for asset pricing. Starting with the work of Markowitz (1952, 1959) and his mean-variance framework based on expected utility theory, portfolio theory has undergone rapid development. The evolution of capturing the risk-return tradeoff provides the engine for this development. The classic capital asset pricing model (CAPM) of Sharpe (1964) and Lintner (1965) predicts that an asset’s risk premium will be proportional to its beta, which is measure of return sensitivity to the aggregate market portfolio return. Subsequent evidence against the CAPM points to the fact other factors market-portfolio proxy must be considered in explaining aggregate risk premia. Fama and French’s three-factor model (1993) extended the CAPM including additional market-based factors based on company size and book-to-market values, and Carhart’s four-factor model (1997) added a momentum factor.

Investment Guidelines:  The Investment Policy Statement 

Each person’s financial circumstances are unique. Professionals working with private wealth clients often construct an investment policy statement (IPS) to better understand their clients’ goals. An IPS specifies the client’s risk and return objectives along with relevant constraints. Liquidity needs and taxation are especially important constraint considerations. The portfolio asset allocation is a function of the IPS. Retirement planning and estate planning are also part of the process.

1)    How Much Risk Can An Investor Tolerate?

Investor goals should consider both return objectives and risk tolerance. A basic finance tenet is that a tradeoff exists between risk and return, which is fundamental for investment choices. That is, an investor who requires a higher return can expect to incur greater risk. Traditional finance theory assumes the most investors are risk averse. Investor psychology is also important to consider in the context of assessing risk tolerance. Kahneman and Tversky’s (1973, 1979) develop prospect theory, which is a theory of decision making under conditions of risk. This theory, which is the most widely used alternative to the expected utility theory, find inconsistencies in investor choices when faced with potential gains versus potential losses. That is, people value gains and losses differently and, as such, base decisions on perceived gains rather than perceived losses. Investors typically are not only more concerned about losses than about gains but also are risk averse over gains and risk seeking over losses. Assessing risk tolerance is essential in advising clients about portfolio options. An investors’ risk aversion or its inverse – risk tolerance – is a key factor in determining the optimal portfolio selection.

Financial professionals have a fiduciary duty to their clients in establishing an overall portfolio consistent with their client’s IPS. These fiduciary relations include any individual who has discretionary power over another’s financial assets, coupled with an undertaking to act exclusively on a client’s behalf. As such, trustees, agents, financial advisers, or corporate directors are subject to the law’s requirements.

2)    Establishing the Appropriate Asset Allocation

For traditional portfolios such as those consisting of stocks and bonds, the choice of asset classes is a critical element differentiating portfolio performance. Inappropriate asset allocation decisions can detract from longer-term performance. Asset allocation strategies can occur strategically and/or tactically. Strategic asset allocation takes a longer-term approach to capital market expectations, while tactical asset allocation has the potential to add value by seeking out shorter-term opportunities. In addition to asset allocation, actively managing a portfolio involves two other activities: asset selection (selecting specific assets to match the allocation target), and market timing (deciding when and how much to invest). More recent research indicates that asset selection may be as important as asset allocation with market timing a distant third.

While standard deviation recognizes that both positive and negative deviations equally contribute to risk, the perception of risk for private wealth clients tends to focus more downside events. For example, investment professionals are increasing using value at risk (VAR), which originated in the banking industry, as a way to measure downside risk for private wealth clients.

The 2007-2008 financial crisis has shifted the nature of portfolio management and increased skepticism of traditional portfolio theory and financial engineering. As a result, key changes are taking place in how investors not only view but also manage risk. The evidence shows that alternative investments (e.g., private equity, real assets, commodity and managed futures, and structured products) offer opportunities for enhancing risk-adjusted returns. The financial crisis reinforced the need to integrate liquidity risk into risk management models. These models are subject to both statistical and managerial errors.

3)    Portfolio Rebalance:  A Cost/Benefit Analysis

Portfolios require rebalancing periodically to restore asset allocations based on the IPS and to make changes based on client circumstances. Managers must consider the tradeoff between transaction and monitoring costs and the costs of not being at the optimal allocation (tracking error). Managers should try to achieve “best execution” of trades for the clients. Decision on setting parameters for rebalancing portfolios should consider the possibility for asset classes to exhibit mean reversion. Mean reversion is much larger in less broad-based and less sophisticated markets. Also, mean reversion is more negative for the portfolios of smaller firms and for the equal-weighted index than for the larger firm portfolios or the value-weighted index. Time-varying, quantitative strategies based on relative returns and volatilities can lead to potentially profitable trading strategies.

4)    Portfolio Performance Measurement

Assessing portfolio performance requires selecting an appropriate benchmark. Benchmarking is a reference that reflects a comparable style to that of the portfolio to be followed by the manager. As a tool for measuring relative performance, benchmarking helps to assess the manager’s skills regarding market timing and security selection. Selecting the appropriate benchmark allows for a more accurate measurement of tracking error. Additionally, active management relative performance, often measured by the information ratio (the ratio of active return to tracking error), is improved through a more precisely defined tracking error.  Establishing a meaningful peer group or benchmark is crucial to those involved in selecting and evaluating investment funds and for those studying the risk-return profiles of those funds.   These funds are often classified based on a particular investment style. Investment styles are groups of portfolios sharing common characteristics that behave similarly under a variety of conditions. Style can be distinguished on two metrics: portfolio holdings and portfolio returns. A more appropriate analysis of risk occurs when investors or their advisors take style into consideration.

5)    Market Innovations

Market innovations allow investors to alter asset allocations synthetically or to gain exposures to niche strategies and non-traditional investment options. Risk can be altered by using derivative securities such as futures and options. Investors often fear derivative securities because they do not understood or misuse them. However, derivative securities allow investors to augment or reduce risk to a given asset class or in the overall portfolio. Another innovation is exchange traded funds (ETFs), which are one of the most successful financial innovations since the 1990s. ETFs often provide a more efficient means of obtaining diversified exposure to a wide-variety of asset classes and strategies than mutual funds.

For those investors who want to avoid “sin” stocks, socially-responsible investing (SRI) provides a competitive strategy to achieve portfolio goals while avoiding undesirable exposures. Sin stocks refer to holdings in companies engaged in irresponsible business practices or the production of harmful products such as gambling and casino stocks, tobacco retailers and alcohol producer stocks. However, holding such stocks may involve a tradeoff. Such stocks can enjoy temporary insulation from economic conditions but they often suffer when economic conditions impair consumers’ ability to spend. Over the long term, sin stocks typically perform well because consumers return to their vices when economic conditions improve and thus they increase their spending during boom times.

Increasingly, investors are taking an interest in non-traditional investments. These opportunities are often classified as alternative investments and include hedge fund and private equity. Because hedge fund return properties differ from those of traditional asset classes, enhanced portfolio optimization approaches are needed when considering hedge funds in mixed-asset portfolios. Investors can obtain private equity exposure through closed-end limited partnership funds, but such funds typically do not provide much liquidity. Venture capital, which is one type of private equity, provides entrepreneurial businesses with substantial capital in the startup phase.

Portfolio Management:  A Dynamic Process

This article provides a framework by which investors often through professional managers can establish a successful portfolio strategy. Developing an investment strategy starts with formulating an IPS. Measuring performance, benchmarking that performance to an appropriate metric, monitoring performance over time, and rebalancing a portfolio as needed are essential elements in keeping portfolios appropriate based on the dynamic nature of the markets and ever-changing investors’ needs. Market innovations offer new and exciting opportunities to achieve goals and enhance risk-adjusted performance over time. Finally, you don’t need to be a genius to have a successful investment strategy. As Warren Buffet notes, “You don’t need to be a rocket scientist. Investing is not a game where the guy with the 160 IQ beats the guy with 130 IQ.”

References

  • Fama, Eugene F., and Kenneth R. French. 1993. “Common Risk Factors in e Returns on Stocks and Bonds.” Journal of Financial Economics 33:1, 3–56.
  • Kahneman, Daniel, and Amos Tversky. 1973. “On the Psychology of Prediction.” Psychological Review 80:4, 237-251.
  • Kahneman, Daniel, and Amos Tversky. 1979. “Prospect Theory: An Analysis of Decision under Risk.” Econometrica 47:2, 263–291.
  • Mark M. Carhart. 1997. “On Persistence in Mutual Fund Performance.” Journal of Finance 42:1, 57-82.
  • Lintner, John. 1965. “The Valuation of Risky Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets.” Review of Economics and Statistics 47:1, 13–37.
  • Markowitz, Harry M. 1952. “Portfolio Selection.” Journal of Finance 7:1, 77–91.
  • Markowitz, Harry M. 1959. Portfolio Selection: Efficient Diversification of Investments. New Haven, CT: Yale University Press.
  • Sharpe, William. 1964. “Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk.” Journal of Finance 19:3, 425–442.
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About H. Kent Baker and Greg Filbeck

H. Kent Baker (DBA, University of Maryland, CFA, CMA) is University Professor of Finance at the Kogod School of Business, American University, in Washington, DC. He is the author or editor of 22 books and more than 150 refereed journal articles. The Journal of Finance Literature recognized him as among the top 1 percent of the most prolific authors in finance during the past 50 years. Professor Baker has consulting and/or training experience with more than 100 organizations.

Greg Filbeck (DBA, University of Kentucky, CFA, FRM, CAIA) holds the Samuel P. Black III Professor of Insurance and Risk Management at Penn State Behrend and serves as Program Director for Accounting, Economics, and Finance. He is the author or editor of five books and more than 70 refereed journal articles. He received the outstanding teaching award among iMBA faculty in 2010 and 2012, and received the Penn State Behrend Regents award for Outstanding Researcher in 2011.

You can find more of Kent and Greg's work in their latest book: Portfolio Theory and Management.

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