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Volatility Spillover between Energy and Financial Markets

Author

Listed:
  • Saban Nazlioglu

    (Department of Econometrics, Pamukkale University, Denizli-Turkey)

  • Ugur Soytas

    (Department of Business Administration, METU, Ankara-Turkey)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

Abstract

This paper examines whether a volatility/risk transmission exists between world energy and the US financial markets during the pre-, the in-, and the post-2008 crisis periods by employing world oil prices and Cleveland financial stress index. It also explores causal dynamics and derives the impulse response functions for the volatility and the level shocks. The volatility structure (the GARCH model estimations) of oil prices and financial stress index works against each other; but both oil prices and financial stress are dominated by long-run volatility. The volatility spillover test by Hafner and Herwartz (2006) provides evidence of risk transfer from energy markets to financial markets before the crisis, but from financial markets to energy markets after the crisis. In contrast, the Toda-Yamamoto Granger causality test indicates causality from oil prices to financial stress after the crisis and from financial stress to oil prices in the crisis. The impulse response analysis for the variance shocks indicates a similar volatility transmission pattern before and after the crisis although it is characterized by higher effects and long-lived structure in the crisis. Although all the impulse-response functions for the volatility are initially significant for all sub samples, the functions for level series are significant only in the post-crisis period.

Suggested Citation

  • Saban Nazlioglu & Ugur Soytas & Rangan Gupta, 2014. "Volatility Spillover between Energy and Financial Markets," Working Papers 201409, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201409
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    More about this item

    Keywords

    Oil prices; financial stress index; causality; volatility spillover;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G1 - Financial Economics - - General Financial Markets

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