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This paper studies the nonparametric identification and estimation of projected pricing kernels implicit in European … computing ratios of estimated risk-neutral and physical densities. Instead, we consider efficient estimation based on the …
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Standard fixed symmetric kernel type density estimators are known to encounter problems for positive random variables with a large probability mass close to zero. We show that in such settings, alternatives of asymmetric gamma kernel estimators are superior but also differ in asymptotic and...
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We introduce a statistical test for simultaneous jumps in the price of a financial asset and its volatility process. The proposed test is based on high-frequency tick-data and is robust to market microstructure frictions. To localize volatility jumps, we design and analyze a nonparametric...
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methodology in practice. -- Kernel density estimation ; boundary correction ; asymmetric kernel …
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