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Implied Volatility Around the World : Geographical Markets and Asset Classes

Author

Listed:
  • Julian P. Veley
  • Brian C. Payne
  • Jiri Tresl
  • Wilfredo Toledo

Abstract

This study analyzes the implied volatility-return relationship across asset classes, geographical regions, and time, which extends efforts documenting the instantaneous relation between implied volatility changes and index returns. Modeling the relationships as a GARCH process with lagged terms, we confirm that implied volatility depends on the immediate index changes. However, contemporaneous volatility changes are also explained by lagged index returns and past volatility moves. While this short-term volatility behavior is heavily asymmetric on the side of negative moves, in the long-term there is indifference between positive and negative moves. Volatility also appears to transfer from larger, primary markets to smaller, secondary markets, as price moves in larger markets explain a large portion of volatility in smaller markets. Volatility in larger markets also transfers to the commodity and currency markets.

Suggested Citation

  • Julian P. Veley & Brian C. Payne & Jiri Tresl & Wilfredo Toledo, 2016. "Implied Volatility Around the World : Geographical Markets and Asset Classes," CERGE-EI Working Papers wp562, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  • Handle: RePEc:cer:papers:wp562
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    Cited by:

    1. Economou, Fotini & Panagopoulos, Yannis & Tsouma, Ekaterini, 2018. "Uncovering asymmetries in the relationship between fear and the stock market using a hidden co-integration approach," Research in International Business and Finance, Elsevier, vol. 44(C), pages 459-470.

    More about this item

    Keywords

    implied volatility; GARCH; risk transfer; international asset classes;
    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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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