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Persistent link: https://www.econbiz.de/10011762113
This paper con?rms that, as originally reported in Seneta (2004, p. 183), it is impossible to replicate Madan et al.?s (1998) results using log daily returns on S&P 500 Index from January 1992 to September 1994. This failure leads to a close investigation of the computational problems associated...
Persistent link: https://www.econbiz.de/10010959119
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The Bates (2006) Approximate Maximum Likelihood (AML) method is considered from a practical point of view. Application of the AML method is undertaken using FFT with splines for integration. Results are validated by both simulation and comparison to MCMC literature. The SVJ model is estimated...
Persistent link: https://www.econbiz.de/10012932241
This paper deals with estimating peaked densities over the interval [0,1] using the Uneven Two-Sided Power Distribution (UTP). This distribution is the most complex of all the bounded power distributions introduced by Kotz and van Dorp (2004). The UTP maximum likelihood estimator, a result not...
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The major contribution of this paper is ending a new and flexible way to measure the effects of selection on log-wages. In this context, we offer a general approach to performing decomposition analysis when selection effects are present. We call the difference between unconditional and...
Persistent link: https://www.econbiz.de/10011313942
We consider cointegration rank estimation for a p-dimensional Fractional Vector Error Correction Model. We propose a new two-step procedure which allows testing for further long-run equilibrium relations with possibly different persistence levels. The first step consists in estimating the...
Persistent link: https://www.econbiz.de/10010244531
In this paper we present a new method for estimating genetic parameters of an F2- generation model. Using an iterative algorithm we derive explicit expressions for the Maximum Likelihood estimates of the additive and dominance effects. Finally we calculate the variance covariance matrix of our...
Persistent link: https://www.econbiz.de/10009789912