EconPapers    
Economics at your fingertips  
 

Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models

Mohamed Arouri (), Duc Khuong Nguyen and Amine Lahiani

Working Papers from HAL

Abstract: This paper investigates whether structural breaks and long memory are relevant features in modeling and forecasting the conditional volatility of oil spot and futures prices using three GARCH-type models, i.e., linear GARCH, GARCH with structural breaks and FIGARCH. By relying on a modified version of Inclan and Tiao (1994)'s iterated cumulative sum of squares (ICSS) algorithm, our results can be summarized as follows. First, we provide evidence of parameter instability in five out of twelve GARCH-based conditional volatility processes for energy prices. Second, long memory is effectively present in all the series considered and a FIGARCH model seems to better fit the data, but the degree of volatility persistence diminishes significantly after adjusting for structural breaks. Finally, the out-of-sample analysis shows that forecasting models accommodating for structural break characteristics of the data often outperform the commonly used short-memory linear volatility models. It is however worth noting that the long memory evidence found in the in-sample period is not strongly supported by the out-of-sample forecasting exercise.

Date: 2010-08-01
Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00507831
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4) Track citations by RSS feed

Downloads: (external link)
https://hal.archives-ouvertes.fr/hal-00507831/document (application/pdf)

Related works:
Journal Article: Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models (2012) Downloads
Working Paper: Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models (2012)
Working Paper: Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models (2010) Downloads
Working Paper: Forecasting the Conditional Volatility of Oil Spot andFutures Prices with Structural Breaksand Long Memory Models (2010) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-00507831

Access Statistics for this paper

More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2021-07-18
Handle: RePEc:hal:wpaper:hal-00507831