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This paper introduces a new tail risk measure based on the risk-neutral excess expected shortfall of a cross-section of … stock returns. We propose a novel way to risk neutralize the returns without relying on option price information …. Empirically, we illustrate our methodology by estimating a tail risk measure over a long historical period based on a set of size …
Persistent link: https://www.econbiz.de/10012993993
We build a novel macro-finance model that combines a semi-structural macroeconomic module with arbitrage-free yield-curve dynamics. We estimate it for the United States and the euro area using a Bayesian approach and jointly infer the real equilibrium interest rate (r*), trend inflation (π*),...
Persistent link: https://www.econbiz.de/10012705391
Incorporating arbitrage-free term-structure dynamics into a semi-structural macro-model, we jointly estimate the real equilibrium interest rate (r*), trend inflation, and term premia for the United States and the euro area, using a Bayesian approach. The natural real rate and trend inflation are...
Persistent link: https://www.econbiz.de/10012425011
with the noisy rational expectations hypothesis. We find that in contrast to theory, for horizons close to two years, there … relationship becomes one-to-one, as the theory would predict. …
Persistent link: https://www.econbiz.de/10013336345
-varying volatility are preferred to the long-run risk model. We analyze asset pricing implications of the estimated models …
Persistent link: https://www.econbiz.de/10011780610
Seemingly unrelated regression (SUR) models are useful in studying the interactions among different variables. In a high dimensional setting or when applied to large panel of time series, these models require a large number of parameters to be estimated and suffer of inferential problems.To...
Persistent link: https://www.econbiz.de/10012968298
We propose a nonparametric method to study which characteristics provide incremental information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...
Persistent link: https://www.econbiz.de/10012913657
We propose a nonparametric method to study which characteristics provide incremental information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...
Persistent link: https://www.econbiz.de/10012910613
We propose a nonparametric method to test which characteristics provide independent information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...
Persistent link: https://www.econbiz.de/10011619632
We propose a nonparametric method to study which characteristics provide incremental information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...
Persistent link: https://www.econbiz.de/10012932023