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155
Investor Sentiment and the CrossSection of Stock Returns
, 2003
"... We examine how investor sentiment affects the crosssection of stock returns. Theory predicts that a broad wave of sentiment will disproportionately affect stocks whose valuations are highly subjective and are difficult to arbitrage. We test this prediction by studying how the crosssection of subse ..."
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Cited by 275 (7 self)
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We examine how investor sentiment affects the crosssection of stock returns. Theory predicts that a broad wave of sentiment will disproportionately affect stocks whose valuations are highly subjective and are difficult to arbitrage. We test this prediction by studying how the crosssection of subsequent stock returns varies with proxies for beginningofperiod investor sentiment. When sentiment is low, subsequent returns are relatively high on smaller stocks, high volatility stocks, unprofitable stocks, nondividendpaying stocks, extremegrowth stocks, and distressed stocks, consistent with an initial underpricing of these stocks. When sentiment is high, on the other hand, these patterns attenuate or fully reverse. The results are consistent with predictions and appear unlikely to reflect an alternative explanation based on compensation for systematic risk.
A Comprehensive Look at the Empirical Performance of Equity Premium Prediction
, 2004
"... Given the historically high equity premium, is it now a good time to invest in the stock market? Economists have suggested a whole range of variables that investors could or should use to predict: dividend price ratios, dividend yields, earningsprice ratios, dividend payout ratios, net issuing rati ..."
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Cited by 257 (6 self)
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Given the historically high equity premium, is it now a good time to invest in the stock market? Economists have suggested a whole range of variables that investors could or should use to predict: dividend price ratios, dividend yields, earningsprice ratios, dividend payout ratios, net issuing ratios, bookmarket ratios, interest rates (in various guises), and consumptionbased macroeconomic ratios (cay). The typical paper reports that the variable predicted well in an insample regression, implying forecasting ability. Our paper explores the outofsample performance of these variables, and finds that not a single one would have helped a realworld investor outpredicting the thenprevailing historical equity premium mean. Most would have outright hurt. Therefore, we find that, for all practical purposes, the equity premium has not been predictable, and any belief about whether the stock market is now too high or too low has to be based on theoretical prior, not on the empirically variables we have explored.
Consumption Strikes Back? Measuring LongRun Risk
, 2008
"... We characterize and measure a longterm riskreturn tradeoff for the valuation of cash flows exposed to fluctuations in macroeconomic growth. This tradeoff features risk prices of cash flows that are realized far into the future but continue to be reflected in asset values. We apply this analysis ..."
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Cited by 230 (31 self)
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We characterize and measure a longterm riskreturn tradeoff for the valuation of cash flows exposed to fluctuations in macroeconomic growth. This tradeoff features risk prices of cash flows that are realized far into the future but continue to be reflected in asset values. We apply this analysis to claims on aggregate cash flows and to cash flows from value and growth portfolios by imputing values to the longrun dynamic responses of cash flows to macroeconomic shocks. We explore the sensitivity of our results to features of the economic valuation model and of the model cash flow dynamics.
Variable Rare Disasters: An Exactly Solved Framework for
 Ten Puzzles in Macro Finance, Working Paper, NYU
, 2009
"... This article incorporates a timevarying severity of disasters into the hy ..."
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Cited by 160 (11 self)
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This article incorporates a timevarying severity of disasters into the hy
A ConsumptionBased Model of the Term Structure of Interest Rates
, 2004
"... This paper proposes a consumptionbased model that can account for many features of the nominal term structure of interest rates. The driving force behind the model is a timevarying price of risk generated by external habit. Nominal bonds depend on past consumption growth through habit and on expec ..."
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Cited by 138 (9 self)
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This paper proposes a consumptionbased model that can account for many features of the nominal term structure of interest rates. The driving force behind the model is a timevarying price of risk generated by external habit. Nominal bonds depend on past consumption growth through habit and on expected inflation. When calibrated to data on consumption, inflation, and the average level of bond yields, the model produces realistic volatility of bond yields and can explain key aspects of the expectations puzzle documented by Campbell and Shiller (1991) and Fama and Bliss (1987). When actual consumption and inflation data are fed into the model, the model is shown to account for many of the short and longrun fluctuations in the shortterm interest rate and the yield spread. At the same time, the model captures the high equity premium and
On the importance of measuring payout yield: Implications for empirical asset pricing
 Journal of Finance
, 2006
"... We investigate the empirical implications of using various measures of payout yield rather than dividend yield for asset pricing models. We find statistically and economically significant predictability in the time series when payout (dividends plus repurchases) and net payout (dividends plus repurc ..."
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Cited by 116 (9 self)
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We investigate the empirical implications of using various measures of payout yield rather than dividend yield for asset pricing models. We find statistically and economically significant predictability in the time series when payout (dividends plus repurchases) and net payout (dividends plus repurchases minus issuances) yields are used instead of the dividend yield. Similarly, we find that payout (net payout) yields contains information about the cross section of expected stock returns exceeding that of dividend yields, and that the high minus low payout yield portfolio is a priced factor. WHILE THE IRRELEVANCE THEOREM of Miller and Modigliani (1961) implies that there is no reason to suspect that dividends play a role in determining equity price levels or equity returns, the theorem is silent on the usefulness of dividends in explaining these variables. It is then, perhaps, not surprising that there is a considerable literature exploiting the properties of dividends and dividend yields to better understand the fundamentals of asset pricing both in the time series and in the cross section. Motivation for the former comes from variations of the Gordon growth model in which dividend yields can be written as the return minus the dividend’s growth rate (see, e.g., Fama and French (1988)), from consumptionbased asset pricing models in which the firm’s dividends covary with aggregate consumption (e.g., Lucas (1978) and Shiller (1981)), and so forth. Additional motivation comes from crosssectional heterogeneity in tax, agency, and asymmetric information considerations (e.g.,
Stock return predictability: Is it there?
, 2001
"... We ask whether stock returns in France, Germany, Japan ... by three instruments: the dividend yield, the earnings yield and the short rate. The predictability regression is suggested by a present value model with earnings growth, payout ratios and the short rate as state variables. We find the short ..."
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Cited by 115 (5 self)
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We ask whether stock returns in France, Germany, Japan ... by three instruments: the dividend yield, the earnings yield and the short rate. The predictability regression is suggested by a present value model with earnings growth, payout ratios and the short rate as state variables. We find the short rate to be the only robust shortrun predictor of excess returns, and find little evidence of excess return predictability by earnings or dividend yields across all countries. There is no evidence of longhorizon return predictability once we account for finite sample influence. Crosscountry predictability is stronger than predictability using local instruments. Finally, dividend and earnings yields predict future cashflow growth
Labor income and predictable stock returns
 Review of Financial Studies
, 2006
"... We propose and test a novel economic mechanism that generates stock return predictability on both the time series and the cross section. In our model, investors’ income has two sources, wages and dividends, that grow stochastically over time. As a consequence, the fraction of total income produced b ..."
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Cited by 107 (2 self)
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We propose and test a novel economic mechanism that generates stock return predictability on both the time series and the cross section. In our model, investors’ income has two sources, wages and dividends, that grow stochastically over time. As a consequence, the fraction of total income produced by wages changes over time depending on economic conditions. We show that as this fraction fluctuates, the risk premium that investors require to hold stocks varies as well. We test the main implications of the model and find substantial support for it. A regression of stock returns on lagged values of the labor income to consumption ratio produces statistically significant coefficients and adjusted R 2 ’s that are larger than those generated when using the dividend price ratio. Tests of the cross sectional implication find considerable improvements on the performance of both the conditional CAPM and CCAPM when compared to their unconditional counterparts.
Why is longhorizon equity less risky? A durationbased explanation of the value premium, NBER working paper
, 2005
"... We propose a dynamic riskbased model that captures the value premium. Firms are modeled as longlived assets distinguished by the timing of cash flows. The stochastic discount factor is specified so that shocks to aggregate dividends are priced, but shocks to the discount rate are not. The model im ..."
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Cited by 100 (20 self)
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We propose a dynamic riskbased model that captures the value premium. Firms are modeled as longlived assets distinguished by the timing of cash flows. The stochastic discount factor is specified so that shocks to aggregate dividends are priced, but shocks to the discount rate are not. The model implies that growth firms covary more with the discount rate than do value firms, which covary more with cash flows. When calibrated to explain aggregate stock market behavior, the model accounts for the observed value premium, the high Sharpe ratios on value firms, and the poor performance of the CAPM. THIS PAPER PROPOSES A DYNAMIC RISKBASED MODEL that captures both the high expected returns on value stocks relative to growth stocks, and the failure of the capital asset pricing model to explain these expected returns. The value premium, first noted by Graham and Dodd (1934), is the finding that assets with a high ratio of price to fundamentals (growth stocks) have low expected returns relative to assets with a low ratio of price to fundamentals (value stocks). This