Showing 1 - 10 of 106
The 11 genebanks of the Consultative Group on International Agriculture (CGIAR) have grown considerably in size over the past few decades, currently holding about 666,000 accessions of germplasm. Conserving germplasm is a very long run, if not in perpetuity, proposition. The mismatch between the...
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One of the most widely used standard procedures for model evaluation in classification and regression is K-fold cross-validation (CV). However, when it comes to time series forecasting, because of the inherent serial correlation and potential non-stationarity of the data, its application is not...
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This paper proposes a class of locally stationary diffusion processes. The model has a time varying but locally linear drift and a volatility coefficient that is allowed to vary over time and space. We propose estimators of all the unknown quantities based on long span data. Our estimation...
Persistent link: https://www.econbiz.de/10011126569
We investigate a model in which we connect slowly time varying unconditional long-run volatility with short-run conditional volatility whose representation is given as a semi-strong GARCH (1,1) process with heavy tailed errors. We focus on robust estimation of both long-run and short-run...
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A substantial body of research suggests that it is difficult to account for all of the volatility of asset prices in terms of news. This paper attempts to explain the excess volatility puzzle as a consequence of competitive interaction between market participants in the presence of noisy...
Persistent link: https://www.econbiz.de/10010744376
This paper proposes a class of locally stationary diffusion processes. The model has a time varying but locally linear drift and a volatility coefficient that is allowed to vary over time and space. The model is semiparametric because we allow these functions to be unknown and the innovation...
Persistent link: https://www.econbiz.de/10010664686
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