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By Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior

TL;DR: In this article, a consumption-based model was proposed to explain the procyclical variation of stock prices, the long-horizon predictability of excess stock returns, and the countercyclical variations of stock market volatility.
Abstract: We present a consumption-based model that explains the procyclical variation of stock prices, the long-horizon predictability of excess stock returns, and the countercyclical variation of stock market volatility. Our model has an i.i.d. consumption growth driving process, and adds a slow-moving external habit to the standard power utility function. The latter feature produces cyclical variation in risk aversion, and hence in the prices of risky assets. Our model also predicts many of the difficulties that beset the standard power utility model, including Euler equation rejections, no correlation between mean consumption growth and interest rates, very high estimates of risk aversion, and pricing errors that are larger than those of the static CAPM. Our model captures much of the history of stock prices, given only consumption data. Since our model captures the equity premium, it implies that fluctuations have important welfare costs. Unlike many habit-persistence models, our model does not necessarily produce cyclical variation in the risk free interest rate, nor does it produce an extremely skewed distribution or negative realizations of the marginal rate of substitution.
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Journal ArticleDOI
TL;DR: The authors used an equilibrium multifactor model to interpret the cross-sectional pattern of postwar U.S. stock and bond returns and found that in the presence of human capital or stock market mean reversion, the coefficient of relative risk aversion is much higher than the price of stock market risk.
Abstract: This paper uses an equilibrium multifactor model to interpret the cross-sectional pattern of postwar U.S. stock and bond returns. Priced factors include the return on a stock index, revisions in forecasts of future stock returns (to capture intertemporal hedging effects), and revisions in forecasts of future labor income growth (proxies for the return on human capital). Aggregate stock market risk is the main factor determining excess returns; but in the presence of human capital or stock market mean reversion, the coefficient of relative risk aversion is much higher than the price of stock market risk.

1,329 citations

Posted Content
TL;DR: In this paper, the authors run regressions of annual excess returns on forward rates and find that a single factor predicts 1-year excess return on 1-5 year maturity bonds with an R2 up to 43%.
Abstract: This paper studies time variation in expected excess bond returns. We run regressions of annual excess returns on forward rates. We find that a single factor predicts 1-year excess returns on 1-5 year maturity bonds with an R2 up to 43%. The single factor is a tent-shaped linear function of forward rates. The return forecasting factor has a clear business cycle correlation: Expected returns are high in bad times, and low in good times, and the return-forecasting factor forecasts long-run output growth. The return-forecasting factor also forecasts stock returns, suggesting a common time-varying premium for real interest rate risk. The return forecasting factor is poorly related to level, slope, and curvature movements in bond yields. Therefore, it represents a source of yield curve movement not captured by most term structure models. Though the return-forecasting factor accounts for more than 99% of the time-variation in expected excess bond returns, we find additional, very small factors that forecast equally small differences between long term bond returns, and hence statistically reject a one-factor model for expected returns.

1,123 citations

Journal ArticleDOI
TL;DR: In this article, a factor pricing model for stock returns is presented, where the factors are returns on physical investment, inferred from investment data via a production function, and the model's ability to explain the performance of the model is examined.
Abstract: I examine a factor pricing model for stock returns. The factors are returns on physical investment, inferred from investment data via a production function. I examine the model's ability to explain...

1,116 citations

Posted Content
TL;DR: In this paper, the authors model the dynamics of risk premia during crises in asset markets where the marginal investor is a financial intermediary and evaluate the effect of three government policies: reducing intermediaries borrowing costs, injecting equity capital, and purchasing distressed assets.
Abstract: We model the dynamics of risk premia during crises in asset markets where the marginal investor is a financial intermediary. Intermediaries face an equity capital constraint. Risk premia rise when the constraint binds, reflecting the capital scarcity. The calibrated model matches the nonlinearity of risk premia during crises, and the speed of reversion in risk premia from a crisis back to pre-crisis levels. We evaluate the effect of three government policies: reducing intermediaries borrowing costs, injecting equity capital, and purchasing distressed assets. Injecting equity capital is particularly effective because it alleviates the equity capital constraint that drives the model's crisis.

864 citations

Journal ArticleDOI
TL;DR: In this article, the authors use the daily internet search volume from millions of households to reveal market-level sentiment, by aggregating the volume of queries related to household concerns (e.g. "recession", "unemployment" and "bankruptcy") and construct a Financial and Economic Attitudes Revealed by Search (FEARS) index as a new measure of investor sentiment.
Abstract: We use the daily internet search volume from millions of households to reveal market-level sentiment. By aggregating the volume of queries related to household concerns (e.g. "recession", "unemployment" and "bankruptcy"), we construct a Financial and Economic Attitudes Revealed by Search (FEARS) index as a new measure of investor sentiment. Between 2004 and 2011, we find increases in FEARS lead to return reversals: although high FEARS are associated with low returns today, they predict high returns over the following two days. In the cross-section of stocks, the reversal effect is strongest among stocks which are attractive to noise traders and hard to arbitrage. FEARS also coincide with excess volatility and predict daily mutual fund flow. When FEARS increase, investors are more likely to pull money out of equity mutual funds and put it into bond funds. Taken together, the results are broadly consistent with theories of investor sentiment.

774 citations


Cites background from "By Force of Habit: A Consumption-Ba..."

  • ...In Campbell and Cochrane (1999), a low surplus consumption ratio will jointly cause risk aversion and volatility to increase. In Kyle and Xiong (2001), when convergence traders have reduced capital as a result of losses, their risk aversion will increase (due to wealth effects) while asset volatility increases as they liquidate their positions....

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  • ...In Campbell and Cochrane (1999), a low surplus consumption ratio will jointly cause risk aversion and volatility to increase....

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