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I test conditional implications of linear asset pricing models in which variables reflecting changing composition of total wealth capture time-variation in the consumption risk exposures of asset returns. I estimate conditional moments of returns and factor risk prices nonparametrically and show that while the consumption risk of value stocks does increase relative to that of growth stocks in "bad'' times, their conditional expected returns do not. Consequently, imposing the conditional moment restrictions results in large pricing errors, virtually eliminating the advantage of conditional models over the unconditional ones. Thus, exploiting conditioning information to impose joint restrictions on the time-series and the cross-sectional properties of asset returns exposes an additional challenge for consumption-based asset pricing models. While the puzzle is robust to alternative measures of consumption risk, it may be less pronounced for models that rely on the long-run consumption risk encoded in the aggregate financial wealth.
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Relative wealth concerns can affect risk-taking behavior, as the payoff to a marginal dollar of wealth depends on the wealth of others. We develop a model where status concerns arise endogenously due to competition in the marriage market and lead to greater risk-taking for unmarried individuals. We evaluate empirically the importance of this effect in a high-stakes setting by studying corporate CEOs. We find that single CEOs, who are more likely to exhibit status concerns, are associated with firms that exhibit higher stock return volatility and pursue more aggressive investment policies. This effect is weaker for older CEOs. Our results hold both when we estimate the impact of marital status directly and when we use variation in divorce laws across U.S. states to instrument for CEO marital status.
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Currency excess returns are predictable, more than stock returns, and about as much as bond returns. The average forward discount of the dollar against developed market currencies is the best predictor of average foreign currency excess returns earned by U.S. investors on a long position in a large basket of foreign currencies and a short position in the dollar. The predicted excess returns on baskets of foreign currency are strongly counter-cyclical because they inherit the cyclical properties of the average forward discount. This counter-cyclical dollar risk premium compensates U.S. investors for taking on U.S.-specific risk in foreign exchange markets by shorting the dollar. Macroeconomic variables such as the rate of U.S. industrial production growth increase the predictability of average foreign currency excess returns even when controlling for the forward discount.
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Persistent differences in interest rates across countries account for much of the profitability of currency carry trade strategies. "Commodity currencies'' tend to have high interest rates while low interest rate currencies belong to exporters of finished goods. This pattern arises in a complete-markets model with trade specialization and limited shipping capacity, whereby commodity-producing countries are insulated from global productivity shocks, which are absorbed by the final goods producers. Empirically, a commodity-based strategy explains a substantial portion of the carry-trade risk premia, and all of their pro-cyclical predictability with commodity prices and shipping costs, as predicted by the model.
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We estimate a structural model of household liquidity management in the presence of long-term mortgages. Households face counter-cyclical idiosyncratic labor income uncertainty and borrowing constraints, which affect optimal choices of leverage, precautionary saving in liquid assets and illiquid home equity, debt repayment, mortgage refinancing, and default. Taking the observed historical path of house prices, aggregate income, and interest rates as given, the model quantitatively accounts for the run-up in household debt and consumption boom prior to the financial crisis, their subsequent collapse, and mild recovery following the Great Recession, especially among the most constrained households.
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We quantify the effect of a significant technological innovation, shale oil development, on asset prices. Using stock returns on major news announcement days allows us to link aggregate stock price fluctuations to shale technology innovations. We exploit cross-sectional variation in industry portfolio returns on days of major shale oil-related news announcements to construct a shale mimicking portfolio. This portfolio can explain a significant amount of variation in aggregate stock market returns, but only during the time period of shale oil development, which begins in 2012. Our estimates imply that $3.5 trillion of the increase in aggregate U.S. equity market capitalization since 2012 can be explained by this mimicking portfolio. Similar portfolios based on major monetary policy announcements do not explain the positive market returns over this period. We also show that exposure to shale oil technology has significant explanatory power for the cross-section of employment growth rates of U.S. industries over this period.
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Recent empirical evidence suggests that job polarization associated with skill-biased technological change accelerated during the Great Recession. We use a standard neoclassical growth framework to analyze how business cycle fluctuations interact with the long-run transition towards a skill-intensive technology. In the model, since adopting the new technology disrupts production, firms prefer to do so in recessions, when profits are low. Similarly, workers also tend to learn new skills during downturns. As a result, recessions are deeper during periods of technological transition, but they also speed up adoption of the new technology. We document evidence for these mechanisms in the data. Our calibrated model is able to match both the long-run downward trend in routine employment and the dramatic impact of the Great Recession. We also show that even in the absence of the Great Recession the routine employment share would have reached the observed level by the year 2012.
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