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Term structure of interest rates with regime shifts
We develop a term structure model where the short interest rate and the market price of risks are subject to discrete regime shifts. Empirical evidence from Efficient Method of Moments estimation provides considerable support for the regime shifts model. Standard models, which include affine specifications with up to three factors, are sharply rejected in the data. Our diagnostics show that only the regime shifts model can account for the well documented violations of the expectations hypothesis, the observed conditional volatility, and the conditional correlation across yields. We find that regimes are intimately related to business cycles.
AUTHORS: Zhou, Hao; Bansal, Ravi
Long-run risks and equity Returns
AUTHORS: Bansal, Ravi; Dittmar, Robert; Kiku, Dana
Long-run risks and financial markets
The recently developed long-run risks asset pricing model shows that concerns about long-run expected growth and time-varying uncertainty (i.e., volatility) about future economic prospects drive asset prices. These two channels of economic risks can account for the risk premia and asset price fluctuations. In addition, the model can empirically account for the cross-sectional differences in asset returns. Hence, the long-run risks model provides a coherent and systematic framework for analyzing financial markets.
AUTHORS: Bansal, Ravi
Regime-shifts, risk premiums in the term structure, and the business cycle
We examine various dynamic term structure models for monthly US Treasury yields from 1964 to 2001. Of particular interest is the predictability of bond excess returns. Recent evidence indicates that using multiple forward rates can sharply predict future excess returns on bonds; the R2 of this predictability regression can be as high as 30%. In addition, the projection coefficients in these predictability regressions exhibit a tent shaped pattern that relates to the maturity of the forward rate. This dimension of the data in conjunction with the transition dynamics of bond yields (i.e., conditional volatility and cross-correlation of bond yields) poses an serious challenge to term structure models. In this paper we present and estimate a regime-shifts term structure model, and our findings show that this model can account for all aspects of the predictability regression and the transition dynamics of yields. Alternative models, such as affine factor models, cannot account for these features of the data. We find that the regimes in the model are related to the NBER business-cycle indicator.
AUTHORS: Bansal, Ravi; George Tauchen & Hao Zhou