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Can information on macroeconomic uncertainty improve the forecast accuracy for key macroeconomic time series for the US? Since previous studies have demonstrated that the link between the real economy and uncertainty is subject to nonlinearities, I assess the predictive power of macroeconomic...
Persistent link: https://www.econbiz.de/10011918367
alongside a novel bank-level dataset for selected Maltese core banks compiled by merging data from various sources. Forecasting …This study develops a framework for forecasting selected balance sheet items of the four largest Maltese core banks …, with a particular emphasis on bank profitability. Methodologically, it employs two multivariate time series models, namely …
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simple and threshold jumps and continuous variation yields a substantial improvement in volatility forecasting or not. The …
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We study the asymptotic properties of the Adaptive LASSO (adaLASSO) in sparse, high-dimensional, linear time-series models. We assume that both the number of covariates in the model and the number of candidate variables can increase with the sample size (polynomially or geometrically). In other...
Persistent link: https://www.econbiz.de/10010505038
obtained from the Central Bank of Nigeria (CBN) website. Periodogram and Fourier series methods of analysis are used to analyze …
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selecting the best forecasting model class in finite samples of practical relevance. Flanking such a horse race by predictive …
Persistent link: https://www.econbiz.de/10011895825