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Pricing kernels implicit in option prices play a key role in assessing the risk aversion over equity returns. We deal … with nonparametric estimation of the pricing kernel (Empirical Pricing Kernel) given by the ratio of the risk … estimated nonparametrically too. In this framework, we develop the asymptotic distribution theory of the EPK in the L1 sense …
Persistent link: https://www.econbiz.de/10003952791
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. Based on these active risk factors, an adjustment for intertemporal dependency is made. The authors extend TEDAS methodology … to three gestalts differing in allocation weights’ determination: a Cornish-Fisher Value-at-Risk minimization, Markowitz …
Persistent link: https://www.econbiz.de/10011349525
Let a process SI , ... ,ST obey the conditionally heteroskedastic equation St = Vt Et whcrc Et is a random noise and Vt is the volatility coefficient which in turn obeys an autoregression type equation log v t = w + a S t- l + nt with an additional noise nt. We consider the situation which the...
Persistent link: https://www.econbiz.de/10009582392
Equity basket correlation is an important risk factor. It characterizes the strength of linear dependence between … return series, and under the risk neutral measure from option prices. The difference between the two estimates motivates a so … dynamic semiparametric factor model (DSFM). -- correlation risk ; dimension reduction ; dispersion strategy ; dynamic factor …
Persistent link: https://www.econbiz.de/10009665551
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The proportional subdistribution hazards (PSH) model is popularly used to deal with competing risks data. Censored quantile regression provides an important supplement as well as variable selection methods, due to large numbers of irrelevant covariates in practice. In this paper, we study...
Persistent link: https://www.econbiz.de/10012588684
and downside risk. Evidence from major advanced markets markets markets markets supports the supports the notion that … notion that notion that downside risk measured by value value value-at -risk ( risk (VaRVaRVaR) has significant information … moments of risk for for predict redict ing stock returns. stock returns. stock returns. stock returns. The e The e vidence …
Persistent link: https://www.econbiz.de/10011437764
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