The Attributes, Behavior, and Performance of U.S. Mutual Funds

This article examines the risk and return characteristics of U.S. mutual funds. We employ an equilibrium version of the Arbitrage Pricing Theory (APT) and a principal-components-based statistical technique to identify performance benchmarks. We also consider the Capital Asset Pricing Model (CAPM) as an alternative. We implement a procedure for overcoming the rotational indeterminacy of factor models. This procedure is a hybrid of statistical factor estimation and prespecification of factors. We estimate measures of timing ability for the CAPM and extend it to the APT. We find that this timing test is misspecified due to noninformation-based changes in mutual fund betas. We develop a modification of the timing measure that, under certain conditions, distinguishes true timing ability from noninformation-based beta changes

A Test for the Number of Factors in an Approximate Factor Model

An important issue in applications of multifactor models of asset returns is the appropriate number of factors. Most extant tests for the number of factors are valid only for strict factor models, in which diversifiable returns are uncorrelated across assets. In this paper we develop a test statistic to determine the number of factors in an approximate factor model of asset returns, which does not require that diversifiable components of returns be uncorrelated across assets. We find evidence for one to six pervasive factors in the cross-section of New York Stock Exchange and American Stock Exchange stock returns

A measure of stock market integration for developed and emerging markets

If equity markets are financially integrated, the price of risk should be the same across markets. If the markets are not financially integrated - possibly because of barriers to capital flows across markets - the price of risk may differ across markets. The author investigates one measure of financial integration between equity markets. He uses a multifactor equilibrium Arbitrage Pricing Theory to define risk and to measure deviations from the"law of one price."He applies the integration measure to equities traded in 24 countries (four developed, and 20 emerging). The measure of market segmentation tends to be much larger for emerging markets than for developed markets, which is consistent with larger barriers to capital flows into or out of the emerging markets. The measure tends to decrease over time, which is consistent with growing levels of integration. Large values of adjusted mispricing occur around periods of economic turbulence and periods in which capital controls change significantly. So, the adjusted mispricing estimates measure not only the level of deviation from the law of one price, but also the revaluations inherent in moving from one regime to another.Banks&Banking Reform,Economic Theory&Research,International Terrorism&Counterterrorism,Payment Systems&Infrastructure,Markets and Market Access,Banks&Banking Reform,Access to Markets,Markets and Market Access,International Terrorism&Counterterrorism,Economic Theory&Research

A Test for the Number of Factors in an Approximate Factor Model

An important issue in applications of multifactor models of asset returns is the appropriate number of factors. Most extant tests for the number of factors are valid only for strict factor models, in which diversifiable returns are uncorrelated across assets. In this paper we develop a test statistic to determine the number of factors in an approximate factor model of asset returns, which does not require that diversifiable components of returns be uncorrelated across assets. We find evidence for one to six pervasive factors in the cross-section of New York Stock Exchange and American Stock Exchange stock returns

The Attributes, Behavior, and Performance of U.S. Mutual Funds

This article examines the risk and return characteristics of U.S. mutual funds. We employ an equilibrium version of the Arbitrage Pricing Theory (APT) and a principal-components-based statistical technique to identify performance benchmarks. We also consider the Capital Asset Pricing Model (CAPM) as an alternative. We implement a procedure for overcoming the rotational indeterminacy of factor models. This procedure is a hybrid of statistical factor estimation and prespecification of factors. We estimate measures of timing ability for the CAPM and extend it to the APT. We find that this timing test is misspecified due to noninformation-based changes in mutual fund betas. We develop a modification of the timing measure that, under certain conditions, distinguishes true timing ability from noninformation-based beta changes

Understanding Stock Price Behavior around the Time of Equity Issues

It is well-documented that stock prices rise significantly prior to an equity issue, and fall upon announcement of the issue. We expand on earlier studies by using a large sample which includes OTC firms, by examining the cross-sectional properties of the price rise, and by using accounting data to track the pattern of debt ratios and Tobin's q around the time of equity issues. We consider a number of explanations for our results, and conclude that the data is largely consistent with informational models in which managers are asymmetrically informed about the value of the firm. Surprisingly, debt ratios do not increase prior to equity issues, suggesting that strained debt capacity is not the main reason for equity issues. The behavior of Tobin's q is consistent with equity issues being used to finance new investments.

An intertemporal equilibrium beta pricing model

This article develops an intertemporal, discrete-time, competitive equilibrium version of the arbitrage pricing theory, (APT) and explores the econometric implications of this model under various restrictions on investor preferences and on the dynamic behaviour of dividends. We describe conditions under which the econometric technique typically used for estimating and testing the APT can be shown to be consistent with our economic model. We relate our intertemporal version of the APT to the static APT and to Merton's intertemporal capital asset pricing model

Fundamental Information in Technical Trading Strategies

Technical trading strategies assume that past changes in prices help predict future changes. This makes sense if the past price trend reflects fundamental information that has not yet been fully incorporated in the current price. However, if the past price trend only reflects temporary pricing pressures, the technical trading strategy is doomed to fail. We demonstrate that this failure can be avoided by using financial statements as additional sources of information. We implement a trading strategy that invests in stocks with high past returns and high operating cash flows. This combination strategy yields a 3-factor alpha of 15% per year, which is much higher than that of the pure momentum strategy that invests in stocks with high past returns without considering operating cash flows. The combination strategy outperforms the momentum strategy in almost all years. The outperformance can be traced back to a higher probability of picking outperforming stocks. These are stocks that yield high future cash flows and hardly ever delist due to poor performance. The combination strategy is easily implemented: the information used is publicly available, the stocks chosen are liquid, and even high transaction costs do not erode the outperformance