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Regression-based estimation of dynamic asset pricing models
We propose regression-based estimators for beta representations of dynamic asset pricing models with an affine pricing kernel specification. We allow for state variables that are cross-sectional pricing factors, forecasting variables for the price of risk, and factors that are both. The estimators explicitly allow for time-varying prices of risk, time-varying betas, and serially dependent pricing factors. Our approach nests the Fama-MacBeth two-pass estimator as a special case. We provide asymptotic multistage standard errors necessary to conduct inference for asset pricing test. We ...
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Dynamic Leverage Asset Pricing
We empirically investigate predictions from alternative intermediary asset pricing theories. The theories distinguish themselves in their use of intermediary equity or leverage as pricing factors or forecasting variables. We find strong support for a parsimonious dynamic pricing model based on broker-dealer leverage as the return forecasting variable and shocks to broker-dealer leverage as a cross-sectional pricing factor. The model performs well in comparison to other intermediary asset pricing models as well as benchmark pricing models, and extends the cross-sectional results by Adrian, ...
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Nonlinearity and flight to safety in the risk-return trade-off for stocks and bonds
We document a highly significant, strongly nonlinear dependence of stock and bond returns on past equity market volatility as measured by the VIX. We propose a new estimator for the shape of the nonlinear forecasting relationship that exploits additional variation in the cross section of returns. The nonlinearities are mirror images for stocks and bonds, revealing flight to safety: expected returns increase for stocks when volatility increases from moderate to high levels, while they decline for Treasury securities. These findings provide support for dynamic asset pricing theories where the ...