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In this paper, we introduce a new approach for volatility modeling in discrete and continuous time. We follow the stochastic volatility literature by assuming that the variance is a function of a state variable. However, instead of assuming that the loading function is ad hoc (e.g., exponential...
Persistent link: https://www.econbiz.de/10005100570
scalar diffusion. Among other examples, Stein equation implies that the mean of Hermite polynomials is zero. The GMM approach … contribution of the paper. The second reason for using GMM is that our tests are also valid for time series. In this case, we adopt …?espérance de chaque polynôme de Hermite est nulle. L?approche GMM est utile pour deux raisons. Elle nous permet de tenir compte du …
Persistent link: https://www.econbiz.de/10005100582
. We establish the direct links between the usual parametric estimation methods, namely the QMLE, the GMM and the M …-estimation. The usual univariate QMLE is, under non-normality, less efficient than the optimal GMM estimator. However, the bivariate … QMLE based on the dependent variable and its square is as efficient as the optimal GMM one. A Monte Carlo analysis confirms …
Persistent link: https://www.econbiz.de/10005100653
This paper considers predictive tests for structural change in models estimated via Generalized Method of Moments. Our analysis extends earlier work by Ghysels and Hall (1990a) by allowing for the instability to occur at an unknown point in the sample. We analyze various statistics based on...
Persistent link: https://www.econbiz.de/10005100750
This paper proposes a test for common conditionally heteroskedastic (CH) features in asset returns. Following Engle and Kozicki (1993), the common CH features property is expressed in terms of testable overidentifying moment restrictions. However, as we show, these moment conditions have a...
Persistent link: https://www.econbiz.de/10011183724