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Econometric modelling of exchange rate volatility using mixed-frequency data

Author

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  • Chaturvedi, Priya
  • Kumar, Kuldeep

Abstract

In the paper, we use generalized autoregressive conditional heteroskedasticity-mixed data sampling (GARCH-MIDAS) to study the impact of Australia’s commodity price index, Global economic conditions indicator, Global Economic Policy Uncertainty Index, monthly realised volatility of S&P/ASX 200 index and monthly realised volatility of money supply on the volatility of the Australian dollar during the period from 1999 to 2021. The results indicate that exchange rate volatility rises with a rise in fluctuations in S&P/ASX 200 index, money supply volatility, commodity price index and falls with a rise in global economic activity. For the GEPU index, the slope coefficient is positive and significant only in the 3- years lag and not significant in the 1- and 2-years lags. This means that a rise in economic turmoil leads to a rise in exchange rate volatility. We also find strong evidence for asymmetry in the short-term volatility component. The results obtained in the study show that there is co-movement of volatility across various financial markets.

Suggested Citation

  • Chaturvedi, Priya & Kumar, Kuldeep, 2022. "Econometric modelling of exchange rate volatility using mixed-frequency data," MPRA Paper 115222, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:115222
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    References listed on IDEAS

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    More about this item

    Keywords

    exchange rate volatility; GARCH-MIDAS; macroeconomic and financial variables; asymmetry;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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