Showing 1 - 10 of 206
We calculate impulse response functions from regime-switching models where the driving variable can respond to the shock. Two methods used to estimate the impulse responses in these models are generalized impulse response functions and local projections. Local projections depend on the observed...
Persistent link: https://www.econbiz.de/10014372466
Recent empirical work in several economic fields, particularly environmental and energy economics, has adapted the regression discontinuity (RD) framework to applications where time is the running variable and treatment begins at a particular threshold in time. In this guide for practitioners,...
Persistent link: https://www.econbiz.de/10012455080
The substantial fluctuations in oil prices in the wake of the COVID-19 pandemic and the Russian invasion of Ukraine have highlighted the importance of tail events in the global market for crude oil which call for careful risk assessment. In this paper we focus on forecasting tail risks in the...
Persistent link: https://www.econbiz.de/10014544801
We argue that comprehensive out-of-sample (OOS) evaluation using statistical decision theory (SDT) should replace the current practice of K-fold and Common Task Framework validation in machine learning (ML) research. SDT provides a formal framework for performing comprehensive OOS evaluation...
Persistent link: https://www.econbiz.de/10014512123
This paper studies the predictability of ultra high-frequency stock returns and durations to relevant price, volume and transactions events, using machine learning methods. We find that, contrary to low frequency and long horizon returns, where predictability is rare and inconsistent,...
Persistent link: https://www.econbiz.de/10013362020
We consider impulse response inference in a locally misspecified stationary vector autoregression (VAR) model. The conventional local projection (LP) confidence interval has correct coverage even when the misspecification is so large that it can be detected with probability approaching 1. This...
Persistent link: https://www.econbiz.de/10014544773
when transferring the HC technology to time series environments via heteroskedasticity and autocorrelation consistent … inconsistent, so that OLS-HAC inference fails even asymptotically. Second, most economic time series have autocorrelation, which … renders OLS parameter estimates inefficient. Third, autocorrelation similarly renders conditional predictions based on OLS …
Persistent link: https://www.econbiz.de/10014576582
We revisit time-variation in the Phillips curve, applying new Bayesian panel methods with breakpoints to US and European Union disaggregate data. Our approach allows us to accurately estimate both the number and timing of breaks in the Phillips curve. It further allows us to determine the...
Persistent link: https://www.econbiz.de/10014250170
In recent years, there has been renewed interest in the moments of the yield curve (or alternatively, the term spread) as a predictor of future economic activity, defined as either recessions, or industrial production growth. In this paper, we re-examine the evidence for this predictor for the...
Persistent link: https://www.econbiz.de/10014468283
autocorrelations close to zero, (ii) these autocorrelation differences between spot and futures markets are maintained even under … conditions favorable for spot-futures arbitrage, and (iii) these autocorrelation differences are most prevalent during low volume …
Persistent link: https://www.econbiz.de/10012471575