Many investors realize that an evidence-based investment approach offers many benefits when compared with an active investment approach. Evidence-based investing involves buying and holding market components, whereas an active investor or fund manager tries to pick the next winning stock or time where the market is headed next.
An evidence-based approach offers these major benefits:
- By holding entire market components, the investor maximizes the benefits of diversification.
- By “tilting” the portfolio to riskier or less risky components, the investor can expect to capture the highest market return given his or her risk tolerance.
- The investor maintains control over his or her portfolio’s components (by avoiding active funds’ tendency to style drift without the investor’s knowledge).
- Expenses can be minimized.
- Tax efficiency can be maximized.
To implement an evidence-based investment approach, investors can choose from:
- Index mutual funds
- Exchange-traded funds (ETFs)
- Evidence-based funds
Investors may wonder, “Why shouldn’t I just buy index funds instead of evidence-based funds? What is the benefit of evidence-based management versus ‘index’ investing?”
The historical evidence has shown that index investing and evidence-based investing are superior strategies to investing in individual stocks or actively managed mutual funds. But building a portfolio of evidence-based funds expands upon the benefits of index investing while minimizing some of its potential negatives.
Evidence-based equity funds invest in a group of stocks with similar risk and return characteristics. These characteristics can be as broad as “U.S. stocks” or “international stocks,” or they can be as specific as “U.S. large-cap momentum stocks” or “international small-cap value stocks.” An evidence-based fund manager creates a set of objective rules that guide which stocks are selected as part of the strategy as well as the target weight of each stock in the portfolio. The funds are managed in a rules-based manner and are not reliant on an individual person or management team’s beliefs about the overall market or individual stocks.
Evidence-based funds retain the benefits of indexing. They are relatively low cost, low turnover and tax efficient. However, they improve on the index model through additional strategies. Let’s look at some of the ways an evidence-based asset class fund can improve returns.
Creating Buy-and-Hold Ranges
Index funds must sell a stock when it leaves the index. For example, if a small-cap stock increases in market capitalization so that it is no longer part of the small-cap index, the fund tracking that index must sell it. This creates turnover and tax inefficiency.
In contrast, an evidence-based fund has the flexibility to create buy-and-hold ranges that enable the fund to hold a stock even if it falls out of the appropriate index. Properly implemented, buy-and-hold ranges help reduce turnover and increase tax efficiency while still enabling the fund to remain true to its stated asset class definitions. For example, an evidence-based small-cap fund might establish a range in which it buys all stocks in the smallest 8 percent of market cap. But the same fund might establish that it won’t sell the stock unless it grows beyond the smallest 10 percent.
Eliminating Certain Stock Types
Based upon academic evidence, some stock types have been demonstrated to result in historically poor returns, and evidence-based funds can screen these stocks. For example, initial public offering (IPO) stocks have demonstrated poor historical returns in the initial years following the IPO. Based on this evidence, an evidence-based fund might eliminate all IPO stocks until they have seasoned a certain number of years, at which point they become eligible for purchase.
The Nasdaq stock exchange has much less stringent listing requirements than does the New York Stock Exchange. As a result, the Nasdaq experiences far more stocks that eventually “delist” due to frauds and other financial weaknesses. By establishing a screen calling for greater financial requirements (such as those of the National Market System), an evidence-based fund can reduce its exposure to stocks that eventually delist.
Evidence-based funds are essentially free to establish additional screens that can be demonstrated to improve net returns. For example, the trading costs of small-cap stocks can be significantly higher than those of large-cap stocks, as small-cap stocks typically experience lower levels of liquidity. Therefore, an evidence-based fund might establish a screen that no stock will be traded unless there are a certain minimum number of “market makers” (i.e., parties interested in trading the stock).
Taking Advantage of
Block Trading Techniques
A small-cap evidence-based fund can also take advantage of its ability to remain flexible regarding its precise market cap weighting, whereas an index fund generally must maintain its specific defined weighting. By acting as a market maker in small-cap stocks, the evidence-based fund can earn not only the bid-offer spread, but also market impact costs.
The preceding terminology can be daunting to even relatively sophisticated investors, so let’s look at an example. Suppose an actively managed fund is selling a large block of a small-cap stock that is trading at
10 bid-10.5 asked (which means the broker/dealer is willing to buy at 10 and sell at 10.5). The stock has typically been trading just 30,000 shares a day, but the active fund wants to immediately sell 100,000 shares. However, selling such a large number of shares relative to the stock’s typical trading level will drive the price much lower … even before they are done selling.
Before moving on with our illustration, it is important to understand that the stock’s next move is random, per the Efficient Market Hypothesis. The fact that an active fund manager is attempting to sell a stock does not actually indicate whether the stock will move up or down. Therefore, an evidence-based fund can benefit from what is more than likely a misplaced sense of urgency on the part of the active manager. For example, an evidence-based fund might establish a range of appropriate market-cap weightings it is willing to own — such as ranging from half to double its target holding.
Returning to our illustration, the evidence-based fund manager might check the fund’s current holdings, determine it is holding 200,000 shares and conclude that it can hold up to 400,000, given the range it has established. Knowing that he or she can purchase the 100,000 shares and that the active fund is desperate to sell, the evidence-based fund manager might submit a bid of 9.5. If the bid is won, it’s likely the likelihood is that the stock will return to trading at 10 bid-10.5 asked. The evidence-based fund might then offer a small amount of stock at 10.375. It may even find a buyer who is looking to buy a large block and pay a premium for it. By earning the bid-ask spread and the market impact cost, the evidence-based fund has created the potential to enhance returns through negative trading costs.
Adding Tax Management Strategies
As we have seen, evidence-based funds have many advantages over index funds. However, evidence-based funds that also engage in tax management strategies can do even better.
While evidence-based funds are already relatively tax efficient (compared with actively managed funds), there are additional strategies that can be employed to further improve their after-tax returns. These strategies include the following techniques:
- Fund managers can avoid taking intentional short-term capital gains. Stocks that should be sold because they have moved beyond their hold ranges are not sold if they are not yet eligible for long-term capital gains treatment. Once the required one-year holding period is reached, the stocks will then be sold. This lowers the tax rate on the capital gain from ordinary income tax rates to the lower long-term capital gains rate.
- Stocks that have significant losses can be sold to harvest those losses. The stocks can then be repurchased following the 30-day waiting period required to avoid violating the wash sale rule.
- Specific lot accounting is used to minimize realized gains on sale. The stocks sold have the highest cost basis.
- Fund managers can avoid purchasing stocks just prior to the ex-dividend date. This reduces the amount of income that will be taxed at higher ordinary income tax rates.
Adding Dividend Management
Dividends are a tax-inefficient manner for investors to receive returns, because dividends are taxed at ordinary income rates. It is important to note that qualified dividends are currently taxed at capital gains rates. Dividend management may grow in significance if qualified dividends become taxed at ordinary income rates at some point in the future. Let’s see why this is the case.
By focusing on minimizing dividends, fund managers can expect to improve upon after-tax returns. Let’s explore how dividends can be managed in this manner. The Fama–French three-factor model tells us that almost all of the variance of equity portfolio returns can be explained by exposure to the risk factors of size (market cap) and value. Thus, two portfolios with similar market caps and similar book-to-market ratios have similar expected returns.
According to the same model, dividends are not a factor in expected returns. A fund that seeks to minimize dividend income can screen for stocks with high dividends, yet still own a portfolio with sensitivities to the small-cap and value factors that are very similar to a portfolio that includes the high-dividend-paying stocks. As such, it can enjoy the same expected pretax returns. The portfolio can be targeted to provide just enough yield to offset the fund’s expense ratio, which can result in no net dividend income (and resulting tax burden) to shareholders.
Note that investors who take advantage of funds that implement dividend management must be aware of and prepared to tolerate “tracking error.” A fund that manages dividends has the same expected pretax returns as a fund that does not. But it will hold a significantly different portfolio in terms of specific stocks, so its returns can (and often do) deviate substantially from its relative benchmark. The tracking error should be random and thus short term in nature. But when it does occur, investors must be prepared to stay the course and ignore it, rather than panic and feel the approach is not working.
The academic world has provided investors with a road map to a prudent investment strategy grounded in evidence-based investing. Building a globally diversified portfolio of evidence-based funds is most likely to allow all levels of investors to achieve their financial goals with the least amount of risk, particularly when they partner with an investment advisor who is experienced at implementing and maintaining an evidence-based portfolio.
This material is derived from sources believed to be reliable, but its accuracy and the opinions based thereon are not guaranteed. The content of this publication is for general information only and is not intended to serve as specific financial, accounting or tax advice. To be distributed only by a Registered Investment Advisor firm.
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