Search

Begin New Search
Proceed to Checkout

Search Results for All:
(Showing results 1 to 1 of 1)



Do Jumps and Co-jumps Improve Volatility Forecasting of Oil and Currency Markets?

Fredj Jawadi, Waël Louhichi, Hachmi Ben Ameur, and Zied Ftiti

Year: 2019
Volume: Volume 40
Number: Special Issue
DOI: 10.5547/01956574.40.SI2.fjaw
View Abstract

Abstract:
This paper aims at modeling and forecasting volatility in both oil and USD exchange rate markets using high frequency data. We test whether extreme co-movements (co-jumps) between these markets, as well as intraday unexpected news, help to improve volatility forecasting or not. Accordingly, we propose different extensions of Corsi (2009)'s model by including co-jumps and news. Our analysis provides two interesting findings. First, we find that both markets exhibit significant co-jumps driven by unexpected macroeconomic news. Second, we show that our model outperforms Corsi (2009)'s model and provides more accurate forecasts. In particular, while co-jumps constitute a key variable in forecasting oil price volatility, the unexpected news is relevant to forecasts of USD exchange rate volatility.





Begin New Search
Proceed to Checkout

 

© 2024 International Association for Energy Economics | Privacy Policy | Return Policy