Stock Repurchases in Canada: Performance and Strategic Trading

During the 1980s, U.S. firms that announced stock repurchase programs earned favorable long-run returns. Recently, concerns have been raised regarding the robustness of these findings. This comes at a time of explosive worldwide growth in the adoption of repurchase programs. This study provides out-of-sample evidence for 1,060 Canadian repurchase programs announced between 1989 and 1997. As in the U.S., the Canadian stock market seems to discount the information contained in repurchase announcements. Value stocks announcing repurchase programs have particularly favorable returns. Canadian law requires companies to report how many shares they repurchase on a monthly basis. We find that managers are sensitive to mispricing as completion rates are higher in cases where undervaluation may be a more important factor. Moreover, trades are linked to price movements; managers buy more shares when prices fall and reduce their buying when prices rise.

The Stock Market Valuation of Research and Development Expenditures

We examine whether stock prices fully reflect the value of firms' intangible assets, focusing on research and development (R&D). Since intangible assets are not reported on financial statements under current U.S. accounting standards and R&D spending is expensed, the valuation problem may be especially challenging. Nonetheless we find that historically the stock returns of firms doing R&D on average matches the returns on firms with no R&D. For companies engaged in R&D, high R&D intensity has a distinctive effect on returns for two groups of stocks. Within the set of growth stocks, R&D-intensive stocks tend to out-perform stocks with little or no R&D. Companies with high R&D relative to equity market value (who tend to have poor past returns) show strong signs of mis-pricing. In both cases the market apparently fails to give sufficient credit for firms' R&D investments. Our exploratory investigation of the effects of advertising on returns yields similar results. We also provide evidence that R&D intensity is positively associated with return volatility, everything else equal. Insofar as the association reflects investors' lack of information about firms' R&D activity, increased accounting disclosure may be beneficial.

The Level and Persistence of Growth Rates

Expected long-term earnings growth rates are crucial inputs to valuation models and for cost of capital estimates. We analyze historical long-term growth rates across a broad cross-section of stocks using several operating performance indicators. We test whether growth persists, and whether it is forecastable. Cases of very high growth have occurred, but are relatively rare. There is scant persistence in growth beyond chance, and limited ability to identify firms with high future long-term growth. IBES forecasts are too optimistic, and have low predictive power for long-term growth. Regressions using a variety of predictors confirm the low predictability in growth. Valuations that assume persistently high growth over prolonged periods rest on shaky foundations.

Contrarian Investment, Extrapolation, and Risk

For many years, stock market analysts have argued that value strategies outperform the market. These value strategies call for buying stocks that have low prices relative to earnings, dividends, book assets, or other measures of fundamental value. While there is some agreement that value strategies produce higher returns, the interpretation of why they do so is more controversial. This paper provides evidence that value strategies yield higher returns because these strategies exploit the mistakes of the typical investor and not because these strategies are fundamentally riskier.

Benchmarking Money Manager Performance: Issues and Evidence

Academic and practitioner research yields a proliferation of methods using size and value/growth attributes or factors to evaluate portfolio performance. We assess the relative merits of several of the most widely-used procedures, including variants of matched-characteristic benchmark portfolios and time-series return regressions, by applying them to a sample of active money managers and passive indexes. Estimated abnormal returns display large variation across approaches. The benchmarks most widely used in academic research --- attribute-matched portfolios from independent sorts, the conventional three-factor time series model, and cross-sectional regressions of returns on stock characteristics --- have poor ability to track returns. Simple alterations are provided that improve the performance of the methods.

Investor Behavior in the Option Market

This paper investigates the behavior of investors in the equity option market using a unique and detailed dataset of open interest and volume for all contracts listed on the Chicago Board Options Exchange over the 1990 through 2001 period. We document major stylized facts about the option market activity of three types of non-market maker investors over this time period and also investigate how their trading changed during the stock market bubble of the late 1990s and early 2000. Our key findings are: (1) non-market maker investors have about four times more long call than long put open interest, (2) these investors have more short than long open interest in both calls and puts, (3) each type of investor purchases more calls to open brand new positions when the return on underlying stocks are higher over horizons ranging from one week to two years into the past, (4) the least sophisticated group of investors substantially increased their purchases of calls on growth but not value stocks during the stock market bubble of the late 1990s and early 2000, and (5) none of the investor groups significantly increased their purchases of puts during the bubble period in order to overcome short sales constraints in the stock market.

On Mutual Fund Investment Styles

We provide an exploratory investigation of mutual funds' investment styles. Funds' styles tend to cluster around a broad market benchmark. When funds deviate from the benchmark they are more likely to favor growth stocks with good past performance. There is some consistency in styles, although funds with poor past performance are more likely to change styles. Some evidence suggests that growth funds have better style-adjusted performance than value funds. The results are not sensitive to style identification procedure, but an approach based on fund portfolio characteristics performs better in predicting future fund returns.

Analysts' Conflict of Interest and Biases in Earnings Forecasts

Analysts' earnings forecasts are influenced by their desire to win investment banking clients. We hypothesize that the equity bull market of the 1990s, along with the boom in investment banking business, exacerbated analysts' conflict of interest and their incentives to adjust strategically forecasts to avoid earnings disappointments. We document shifts in the distribution of earnings surprises, the market's response to surprises and forecast revisions, and in the predictability of non-negative surprises. Further confirmation is based on subsamples where conflicts of interest are more pronounced, including growth stocks and stocks with consecutive non-negative surprises; however shifts are less notable in international markets.

Earnings Quality and Stock Returns

An exclusive focus on bottom-line income misses important information about the quality of earnings. Accruals (the difference between accounting earnings and cash flow) are reliably, negatively associated with future stock returns. Earnings increases that are accompanied by high accruals, suggesting low-quality earnings, are associated with poor future returns. We explore various hypotheses -- earnings manipulation, extrapolative biases about future growth, and under-reaction to business conditions -- to explain accruals' predictive power. Distinctions between the hypotheses are based on evidence from operating performance, the behavior of individual accrual items, and discretionary versus nondiscretionary components of accruals.