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This paper investigates nonparametric estimation of density on [0,1]. The kernel estimator of density on [0,1] has been found to be sensitive to both bandwidth and kernel. This paper proposes a unified Bayesian framework for choosing both the bandwidth and kernel function. In a simulation study,...
Persistent link: https://www.econbiz.de/10009650286
We develop a new protocol, adapted from the Eckel and Grossman (2002, 2008) risk measure, to elicit skewness … increasing degrees of positive skewness. We find that our subjects are skewness-seekers. More importantly, positive skewness in …
Persistent link: https://www.econbiz.de/10010615292
is conducted implicitly via observed option prices. A range of models allowing for conditional leptokurtosis, skewness …
Persistent link: https://www.econbiz.de/10005427614
models generalizes the traditional Black-Scholes framework by accommodating time-varying conditional volatility, skewness and … volatility smiles. The empirical results provide strong evidence that time-varying volatility, leptokurtosis and skewness are …
Persistent link: https://www.econbiz.de/10005149038
A general parametric framework is developed for pricing S&P500 options. Skewness and leptokurtosis in stock returns as …
Persistent link: https://www.econbiz.de/10005087577