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AdaBoost tweaks the sample weight for each training set used in the iterative process, however, it is demonstrated that it provides more correlated errors as the boosting iteration proceeds if models’ accuracy is high enough. Therefore, in this study, we propose a novel way to improve the...
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We propose a new variational approximation of the joint posterior distribution of the log-volatility in the context of … proposed methodology with an application of a 96-variable VAR with stochastic volatility to measure global bank network …
Persistent link: https://www.econbiz.de/10014351940
Realized covariance models specify the conditional expectation of a realized covariance matrix as a function of past realized covariance matrices through a GARCH-type structure. We compare the forecasting performance of several such models in terms of economic value, measured through economic...
Persistent link: https://www.econbiz.de/10014434629
the squared return in the volatility process. The volatility of the diffusion follows an Ornstein-Uhlenbeck-type process …
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. However, recent sharp changes in macroeconomic volatility such as the Great Moderation and the more recent sharp rise in … volatility associated with greater variation in energy prices and the deep global recession pose significant challenges to …, inflation, and the federal funds rate from VAR models with stochastic volatility. The model of interest extends the steady state …
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