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We propose a Bayesian optimal filtering setup for improving out-of-sample forecasting performance when using volatile …
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volatility in the price of cassava chips were calculated using Bayesian GARCH-X. The results indicate that the increase in X1, X2 …
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During the past decades, seasonal autoregressive integrated moving average (SARIMA) had become one of a prevalent linear models in time series and forecasting. Empirical research advocated that forecasting with non-linear models can be an encouraging alternative to traditional linear models....
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This paper studies the joint dynamics of U.S. inflation and a term structure of average inflation predictions taken from the Survey of Professional Forecasters (SPF). We estimate these joint dynamics by combining an unobserved components (UC) model of inflation and a sticky‐information...
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