Market Timing Ability and Volatility Implied in Investment Newletters' Asset Allocation Recommendations

We analyze the advice contained in a sample of 237 investment letters over the 1980-1992 period. Each newsletter recommends a mix of equity and cash. We construct portfolios based on these recommendations and find that only a small number of the newsletters appear to have higher average returns than a buy-and-hold portfolio constructed to have the same variance. Knowledge of the asset allocation weights also implies knowledge of the exact conditional betas. As a result, we present direct tests of market timing ability that bypass beta estimation problems. Assuming that different letters cater to investors with different risk aversions, we are able to imply the newsletters' forecasted market returns. The dispersion of the newsletters' forecasts provides a natural measure of disagreement in the market. We find that the degree of disagreement contains information about both market volatility and trading activity.

Expectations of Equity Risk Premia, Volatility and Asymmetry from a Corporate Finance Perspective

We present new evidence on the distribution of the ex ante risk premium based on a multi-year survey of Chief Financial Officers (CFOs) of U.S. corporations. Currently, we have responses from surveys conducted from the second quarter of 2000 through the third quarter of 2001. The results in this paper will be augmented as future surveys become available. We find direct evidence that the one-year risk premium is highly variable through time and 10-year expected risk premium is stable. In particular, after periods of negative returns, CFOs significantly reduce their one-year market forecasts, disagreement (volatility) increases and returns distributions are more skewed to the left. We also examine the relation between ex ante returns and ex ante volatility. The relation between the one-year expected risk premium and expected risk is negative. However, our research points to the importance of horizon. We find a significantly positive relation between expected return and expected risk at the 10-year horizon.

Emerging Equity Market Volatility

Returns in emerging capital markets are very different from returns in developed markets. While most previous research has focused on average returns, we analyze the volatility of the returns in emerging equity markets. We characterize the time-series of volatility in emerging markets and explore the distributional foundations of the variance process. Of particular interest is evidence of asymmetries in volatility and the evolution of the variance process after periods of capital market reform. We shed indirect light on the question of capital market integration by exploring the changing influence of world factors on the volatility in emerging markets. Finally, we investigate the cross-section of volatility. We use measures such as asset concentration, market capitalization to GDP, size of the trade sector, cross-sectional volatility of individual securities within each country, turnover, foreign exchange variability and national credit ratings to characterize why volatility is different across emerging markets.

Time-Varying World Market Integration

We propose a conditional measure of capital market integration that allows us to characterize both the cross-section and time-series of expected returns in developed and emerging markets. Our measure, which arises from a conditional regime-switching model, allows us to describe expected returns in countries that are segmented from world capital markets in one part of the sample and become integrated later in the sample. Our results suggest that a number of emerging markets exhibit time-varying integration. Interestingly, some markets appear to be more integrated than one might expect based on prior knowledge of investment restrictions. Other markets appear segmented even though foreigners have relatively free access to their capital markets.

Market Integration and Contagion

Contagion is usually defined as correlation between markets in excess of what would be implied by economic fundamentals; however, there is considerable disagreement regarding the definitions of the fundamentals, how the fundamentals might differ across countries, and the mechanisms that link the fundamentals to asset returns. Our research takes, as a starting point, a two-factor model with time-varying betas that accommodates various degrees of market integration between different markets. We apply this model to stock returns in three different regions: Europe, South-East Asia, and Latin America. In addition to providing new insights on contagion during crisis periods, we document patterns through time in world and regional market integration and measure the proportion of volatility driven by global, regional, and local factors.

The Tactical and Strategic Value of Commodity Futures

Historically, commodity futures have had excess returns similar to those of equities. But what should we expect in the future? The usual risk factors are unable to explain the time-series variation in excess returns. In addition, our evidence suggests that commodity futures are an inconsistent, if not tenuous, hedge against unexpected inflation. Further, the historically high average returns to a commodity futures portfolio are largely driven by the choice of weighting schemes. Indeed, an equally weighted long-only portfolio of commodity futures returns has approximately a zero excess return over the past 25 years. Our portfolio analysis suggests that the a long-only strategic allocation to commodities as a general asset class is a bet on the future term structure of commodity prices, in general, and on specific portfolio weighting schemes, in particular. In contrast, we provide evidence that there are distinct benefits to an asset allocation overlay that tactically allocates using commodity futures exposures. We examine three trading strategies that use both momentum and the term structure of futures prices. We find that the tactical strategies provide higher average returns and lower risk than a long-only commodity futures exposure.

An Exploratory Investigation of the Fundamental Determinants of National Equity Market Returns

This paper studies average and conditional expected returns in national equity markets, and their relation to a number of fundamental country attributes. The attributes are organized into three groups. The first is relative valuation ratios, such as price-to-book-value, cash-flow, earnings and dividends. The second group measures relative economic performance and the third measures industry structure. We find that average returns across countries are related to the volatility of their price-to-book ratios. Predictable variation in returns is also related to relative gross domestic product, interest rate levels and dividend-price ratios. We explore the hypothesis that cross-sectional variation in the country attributes proxy for variation in the sensitivity of national markets to global measures of economic risks. We test single-factor and two-factor models in which countries' conditional betas are assumed to be functions of the more important fundamental attributes.

Conditioning Variables and the Cross-Section of Stock Returns

Previous studies have identified predetermined variables that have some power to explain the time series of stock and bond returns. This paper shows that loadings on the same variables also provide significant cross-sectional explanatory power for stock portfolio returns. These loadings are important, over and the above the variables advocated by Fama and French (1993) in their three factor model,' and also the four factors of Elton, Gruber and Blake (1995). The explanatory power of the loadings on lagged variables is robust to various portfolio grouping procedures and other considerations. The lagged variables reveal information about the cross-section of expected returns that is not captured by popular asset pricing factors. These results carry implications for risk analysis, performance measurement, cost-of-capital calculations and other applications.