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Testing for infinite order stochastic dominance with applications to finance, risk and income inequality
Knight, John B.; Satchell, Stephen - 1999
Persistent link: https://www.econbiz.de/10001407264
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Efficient estimation of the stochastic volatility model by the empirical characteristic function method
Knight, John L.; Satchell, Stephen; Yu, Jun - 1999
Persistent link: https://www.econbiz.de/10001435264
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Empirical characteristic function in time series estimation
Knight, John L.; Yu, Jun - 1999
Persistent link: https://www.econbiz.de/10001435272
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Estimation of stationary stochastic processes via the empirical characteristic function
Knight, John L.; Satchell, Stephen - 1994
Persistent link: https://www.econbiz.de/10000147749
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Empirical characteristic function in time series estimation
Knight, John L.; Yu, Jun - In: Econometric theory 18 (2002) 3, pp. 691-721
Persistent link: https://www.econbiz.de/10001673452
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Estimation of continuous-time processes via the empirical characteristic function
Jiang, George J.; Knight, John L. - In: Journal of business & economic statistics : JBES ; a … 20 (2002) 2, pp. 198-212
Persistent link: https://www.econbiz.de/10001660376
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Finite sample comparison of alternative estimators of Itô diffusion processes : a Monte Carlo study
Jiang, George J.; Knight, John L. - In: The journal of computational finance 2 (1999) 3, pp. 5-38
Persistent link: https://www.econbiz.de/10001638577
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Asymmetric stochastic conditional duration model a mixture of normal approach
Xu, Dinghai; Knight, John L.; Wirjanto, Tony S. - In: Journal of financial econometrics : official journal of … 9 (2011) 3, pp. 469-488
Persistent link: https://www.econbiz.de/10009407860
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Stochastic volatility model under a discrete mixture-of-normal specification
Xu, Dinghai; Knight, John L. - In: Journal of economics and finance 37 (2013) 2, pp. 216-239
Persistent link: https://www.econbiz.de/10009750360
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Large deviations theorems for optimal investment problems with large portfolios
Chu, Ba; Knight, John L.; Satchell, Stephen - In: European journal of operational research : EJOR 211 (2011) 3, pp. 533-555
Persistent link: https://www.econbiz.de/10008933377