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Author:Duffee, Gregory R. 

Working Paper
Treasury yields and corporate bond yield spreads: an empirical analysis

This paper empirically examines the relation between the Treasury term structure and spreads of investment grade corporate bond yields over Treasuries. I find that noncallable bond yield spreads fall when the level of the Treasury term structure rises. The extent of this decline depends on the initial credit quality of the bond; the decline is small for Aaa-rated bonds and large for Baa-rated bonds. The role of the business cycle in generating this pattern is explored, as is the link between yield spreads and default risk. I also argue that yield spreads based on commonly-used bond yield ...
Finance and Economics Discussion Series , Paper 96-20

Conference Paper
The variation of default risk with Treasury yields

Proceedings

Working Paper
What's good for GM...? Using auto industry stock returns to forecast business cycles and test the Q-theory of investment

Working Papers , Paper 9610

Working Paper
Estimating the price of default risk

A firm's instantaneous probability of default is modeled as a square-root diffusion process. The parameters of these processes are estimated for 188 firms, using both the time series and cross-sectional (term structure) properties of the individual firms' bond prices. Although the estimated models are moderately successful at bond pricing, there is strong evidence of misspecification. The results indicate that single factor models of instantaneous default risk face a significant challenge in matching certain key features of actual corporate bond yield spreads. In particular, such models have ...
Finance and Economics Discussion Series , Paper 96-29

Working Paper
What's good for GM...? Using auto industry stock returns to forecast business cycles and test the Q-theory of investment

We examine the ability of auto industry stock returns to forecast quarterly changes in the growth rates of real GDP, consumption, and investment. We find that auto stock returns are superior to aggregate stock market returns in predicting growth rates of GDP and various forms of consumption. The superior predictive power of auto returns holds for both in-sample and out-of-sample forecasts and has not declined over time. We then apply a finding in this paper---that market returns have no explanatory power for future output or consumption growth when auto returns are included in the ...
Finance and Economics Discussion Series , Paper 96-38

Conference Paper
Rethinking risk management for banks: lessons from credit derivatives

Proceedings , Paper 514

Working Paper
Credit derivatives in banking: useful tools for managing risk?

We model the effects on banks of the introduction of a market for credit derivatives--in particular, credit default swaps. A bank can use such swaps to temporarily transfer credit risks of their loans to others, reducing the likelihood that defaulting loans would trigger the bank's financial distress. Because credit derivatives are more flexible at transferring risks than are other, more established tools, such as loan sales without recourse, these instruments make it easier for banks to circumvent the ``lemons'' problem caused by banks' superior information about the credit quality of their ...
Finance and Economics Discussion Series , Paper 1997-13

Working Paper
Term Premia and Interest Rate Forecasts in Affine Models

I find that the standard class of affine models produces poor forecasts of future changes in Treasury yields. Better forecasts are generated by assuming that yields follow random walks. The failure of these models is driven by one of their key features: the compensation that investors receive for facing risk is a multiple of the variance of the risk. This means that risk compensation cannot vary independently of interest rate volatility. I also describe and empirically estimate a class of models that is broader than the standard affine class. These ‘essentially affine’ models retain the ...
Working Paper Series , Paper 2000-19

Working Paper
Asymmetric Cross-sectional Dispersion in Stock Returns: Evidence and Implications

This paper documents that daily stock returns of both firms and industries are more dispersed when the overall stock market rises than when it falls. This positive relation is conceptually distinct from – and appears unrelated to – asymmetric return correlations. I argue that the source of the relation is positive skewness in sector-specific return shocks. I use this asymmetric behavior to explain a previously-observed puzzle: aggregate trading volume tends to be higher on days when the stock market rises than when it falls. The idea proposed here is that trading is more active on days ...
Working Paper Series , Paper 2000-18

Working Paper
A primer on program trading and stock price volatility: a survey of the issues and the evidence

Finance and Economics Discussion Series , Paper 109

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