Modeling and forecasting extreme commodity prices: A Markov-Switching based extreme value model

Rodrigo Herrera, Alejandro Rodriguez and Gabriel Pino

Energy Economics, 2017, vol. 63, issue C, 129-143

Abstract: We propose a Markov-Switching Multifractal Peaks-Over-Threshold (MSM-POT) model to capture the dynamic behavior of the random occurrences of extreme events exceeding a high threshold in time series of returns. This approach allows introducing changes of regimes in the conditional mean function of the inter-exceedance times (i.e., the time between two consecutive extreme events) in order to admit the presence of short- and long-term memory patterns. Further, through its multifractal structure, the MSM-POT approach is able to capture the typical stylized facts of extreme events observed in financial time series, such as temporal clustering of the size of exceedances and temporal behavior of tail thickness.

Keywords: Commodity markets; Extreme value theory; Value at risk; Markov-Switching Multifractal; Self-exciting point process (search for similar items in EconPapers)
JEL-codes: C11 C58 G17 Q02 Q47 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:63:y:2017:i:c:p:129-143

DOI: 10.1016/j.eneco.2017.01.012

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