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Why Leverage Affects Pricing

Review of Financial Studies 2008 21(4), 1733-1765
[We explain and provide evidence for effects of leverage on pricing. Our model identifies two effects that either counteract or reinforce each other, depending on the debt maturity structure: (i) firms set higher prices (underinvest in market share) if they have more debt, and (ii) firms engage in dynamic risk-shifting by setting lower (higher) prices if the current debt obligation will be higher (lower) in the next period than in the present period. Using a unique dataset of owner-managed hotels in Austrian ski resorts, we provide empirical evidence of both effects.]

Reconciling the Return Predictability Evidence

Review of Financial Studies 2008 21(4), 1607-1652
[Evidence of stock-return predictability by financial ratios is still controversial, as documented by inconsistent results for in-sample and out-of-sample regressions and by substantial parameter instability. This article shows that these seemingly incompatible results can be reconciled if the assumption of a fixed steady state mean of the economy is relaxed. We find strong empirical evidence in support of shifts in the steady state and propose simple methods to adjust financial ratios for such shifts. The in-sample forecasting relationship of adjusted price ratios and future returns is statistically significant and stable over time. In real time, however, changes in the steady state make the in-sample return forecastability hard to exploit out-of-sample. The uncertainty of estimating the size of steady-state shifts rather than the estimation of their dates is responsible for the difficulty of forecasting stock returns in real time. Our conclusions hold for a variety of financial ratios and are robust to changes in the econometric technique used to estimate shifts in the steady state.]

The Causal Effect of Mortgage Refinancing on Interest Rate Volatility: Empirical Evidence and Theoretical Implications

Review of Financial Studies 2008 21(4), 1689-1731
[This article investigates the effects of mortgage-backed security (MBS) hedging activity on interest rate volatility and proposes a model that takes these effects into account. An empirical examination suggests that the inclusion of information about MBSs considerably improves model performance in pricing interest rate options and in forecasting future interest rate volatility. The empirical results are consistent with the hypothesis that MBS hedging affects the interest rate volatility implied by both options and the actual interest rate volatility. The results also indicate that the inclusion of information about the MBS universe may result in models that better describe the price of fixed-income securities.]

Where Is the Market? Evidence from Cross-Listings in the United States

Review of Financial Studies 2008 21(2), 725-761
[We analyze the location of stock trading for firms with a US cross-listing. The fraction of trading that occurs in the United States tends to be larger for companies from countries that are geographically close to the United States and feature low financial development and poor insider trading protection. For companies based in developed countries, trading volume in the United States is larger if the company is small, volatile, and technology-oriented, while this does not apply to emerging country firms. The domestic turnover rate increases in the cross-listing year and remains higher for firms based in developed markets, but not for emerging market firms. Domestic trading volume actually declines for companies from countries with poor enforcement of insider trading regulation]

Small Trades and the Cross-Section of Stock Returns

Review of Financial Studies 2008 21(3), 1123-1151
[This paper uses volume arising from small trades to analyze the relationship between retail investor trading behavior and the cross-section of future stock returns. The central finding is that stocks with intense sell-initiated small-trade volume, measured over the past several months, outperform stocks with intense buy-initiated small-trade volume. This return difference accrues from the first month after the portfolio formation up to two years later. Among small- and medium-sized firms, the return difference continues in the third year. The results suggest that stocks favored by retail investors subsequently experience prolonged underperformance relative to stocks out of favor with retail investors.]

Predicting Excess Stock Returns out of Sample: Can Anything Beat the Historical Average?

Review of Financial Studies 2008 21(4), 1509-1531
[Goyal and Welch (2007) argue that the historical average excess stock return forecasts future excess stock returns better than regressions of excess returns on predictor variables. In this article, we show that many predictive regressions beat the historical average return, once weak restrictions are imposed on the signs of coefficients and return forecasts. The out-of-sample explanatory power is small, but nonetheless is economically meaningful for mean-variance investors. Even better results can be obtained by imposing the restrictions of steady-state valuation models, thereby removing the need to estimate the average from a short sample of volatile stock returns.]

Do Retail Incentives Work in Privatizations?

Review of Financial Studies 2008 21(5), 2061-2095
[Twenty countries around the world have used $27 billion in incentives such as bonus shares and discounts to attract retail investors to participate in privatizations and to discourage them from flipping their shares. Our results show that incentives have performed well, increasing retail investor participation much more cost effectively than underpricing. Flipping is not only much reduced in the short term but remains cumulatively at least 15% lower after 1000 trading days. The expiration of bonus share plans is associated with a 6-day abnormal return of -1.0% and a long-term increase in trading volume.]

Institutional Portfolio Flows and International Investments

Review of Financial Studies 2008 21(2), 937-971
[Using a new technique, and weekly data for 25 countries from 1994 to 1998, we analyze the relationship between institutional cross-border portfolio flows, and domestic and foreign equity returns. In emerging markets, institutional flows forecast statistically indistinguishable movements in country closed-end fund NAV returns and price returns. In contrast, closed-end fund flows forecast price returns, but not NAV returns. Furthermore, institutional flows display trend-following (trend-reversing) behavior in response to symmetric (asymmetric) movements in NAV and price returns. The results suggest that institutional cross-border flows are linked to fundamentals, while closed-end fund flows are a source of price pressure in the short run.]

Habit Formation, Incomplete Markets, and the Significance of Regional Risk for Expected Returns

Review of Financial Studies 2008 21(5), 2139-2172
[This paper introduces a consumption-based capital asset pricing model (CCAPM) that combines undiversifiable income shocks and external habit formation. Using US state-level data, the paper provides realistic estimates for preference parameters when the external habit of the state investors is based on the consumption of the four Census regions. The model also implies four asset pricing factors: The cross-sectional means of consumption growth and habit growth (capturing national systematic risk) and the cross-sectional variances of consumption growth and habit growth (capturing regional systematic risk). This four-factor model has greater power in explaining expected returns than the CCAPM described in Breeden(1979).]

Average Idiosyncratic Volatility in G7 Countries

Review of Financial Studies 2008 21(3), 1259-1296
[We argue that changes in average idiosyncratic volatility provide a proxy for changes in the investment opportunity set and that this proxy is closely related to the book-to-market factor. We test this idea in two ways using G7 countries' data. First, we show that idiosyncratic volatility has statistically significant predictive power for aggregate stock market returns over time. Second, we show that idiosyncratic volatility performs just as well as the book- to-market factor in explaining the cross section of stock returns. Our results suggest that the hedge against changes in investment opportunities is an important determinant of asset prices.]