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The volatility spillover effects among risk appetite indexes: insight from the VIX and the rise

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  • Saffet Akdag

    (Tarsus University)

  • Ömer İskenderoglu

    (Nigde Ömer Halisdemir University)

  • Andrew Adewale Alola

    (Istanbul Gelisim University
    South Ural State University)

Abstract

This study aims to test the volatility spillover effects among the global risk appetite, the VIX (also known as the fear index) and the RISE index (known as the indicator of investor risk appetite index in Turkey). A temporary or permanent causality Granger and Breitung Candelon (Breitung and Candelon in J Econom 132(2):363–378, 2006) frequency domain causality analyses were performed by using the weekly dataset spanning from January 2010 to December 2018. The results obtained from the study reveals a unilateral causal relationship running from the VIX toward the RISE index. This causality inference is also observed separately in the short-, medium- and the long-run. Consequently, the investigation found that there is a permanent causal relationship running from the VIX toward the RISE index. These results also indicate the existence of the volatility spillover effect among the risk appetite indexes. Consequently, the current study offers significant policy directives from the side of the government and other stakeholders especially that are targeted at mitigating fear factors in the economy.

Suggested Citation

  • Saffet Akdag & Ömer İskenderoglu & Andrew Adewale Alola, 2020. "The volatility spillover effects among risk appetite indexes: insight from the VIX and the rise," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 49-65, April.
  • Handle: RePEc:spr:lsprsc:v:13:y:2020:i:1:d:10.1007_s12076-020-00244-3
    DOI: 10.1007/s12076-020-00244-3
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    More about this item

    Keywords

    Risk appetite; Volatility spillover effects; Frequency domain causality;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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