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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
Persistent link: https://www.econbiz.de/10012860399
This paper suggests that there was a negative bubble in oil prices in 2014/15, which decreased them beyond the level justified by economic fundamentals. This proposition is corroborated by two sets of bubble detection strategies: the first set consists of tests for financial bubbles, while the...
Persistent link: https://www.econbiz.de/10012988565
The present study compares the performance of the long memory FIGARCH model, with that of the short memory GARCH specification, in the forecasting of multi-period Value-at-Risk (VaR) and Expected Shortfall (ES) across 20 stock indices worldwide. The dataset is comprised of daily data covering...
Persistent link: https://www.econbiz.de/10012910119
In our study, we individually forecast 26 metal prices one-month ahead and outperform the predefined benchmark model, a … differences in predictability between the metal groups are remarkable, as we are able to forecast 13 of 17 minor metals, 5 of 6 …
Persistent link: https://www.econbiz.de/10013222550
We augment the existing literature using the Log-Periodic Power Law Singular (LPPLS) structures in the log-price dynamics to diagnose financial bubbles by providing three main innovations. First, we introduce the quantile regression to the LPPLS detection problem. This allows us to disentangle...
Persistent link: https://www.econbiz.de/10011412424
selecting a Value-at-Risk (VaR) forecast that combines the forecasts of different VaR models, was proposed in McAleer et al …. (2010c). The robust forecast is based on the median of the point VaR forecasts of a set of conditional volatility models … for the entire period. This paper presents evidence to support the claim that the median point forecast of VaR is …
Persistent link: https://www.econbiz.de/10013131430
-at-Risk (VaR) forecast that combines the forecasts of different VaR models. The robust forecast is based on the median of the point …
Persistent link: https://www.econbiz.de/10013137384
The benefits of using flight-to-safety (FTS) in volatility forecasting are assessed within a multivariate GARCH framework. In particular, we propose realized semi-covariance between falling equity and rising safe haven returns as a proxy of FTS and we use it to model the conditional distribution...
Persistent link: https://www.econbiz.de/10012916710
This paper investigates dynamic currency hedging benefits, with a further focus on the impact of currency hedging before and during the recent financial crises originated from the subprime and the Euro sovereign bonds. We take the point of view of a Euro-based institutional investor who...
Persistent link: https://www.econbiz.de/10013074792