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-of-sample forecasts was estimated. It is shown that near-rational concepts produce the same advantages as learning, without its … disadvantages (including the absence of ‘learning expectations’ reactions on policy change). The influence of the observed …
Persistent link: https://www.econbiz.de/10011785054
Persistent link: https://www.econbiz.de/10011668227
This paper proposes an iterative model-building approach known as quantile boosting to trace out the predictive value of realized volatility and skewness for gold futures returns. Controlling for several widely studied market- and sentiment-based variables, we examine the predictive value of...
Persistent link: https://www.econbiz.de/10012989028
Information on economic policy uncertainty (EPU) does matter in predicting oil returns especially when accounting for omitted nonlinearities in the relationship between these two variables via a time-varying coefficient approach. In this work, we compare the forecastability of standard, Bayesian...
Persistent link: https://www.econbiz.de/10013024926
learning and econometric methodologies in forecasting the U.S. inflation based on autoregressive and structural models of the … (LASSO) and the machine learning Support Vector Regression (SVR) method. The SVR has never been used before in inflation …
Persistent link: https://www.econbiz.de/10012953784
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