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Measuring and Hedging Geopolitical Risk

Author

Listed:
  • Robert F. Engle

    (New York Stern School of Business)

  • Susana Campos-Martins

    (Nuffield College, University of Oxford and NIPE)

Abstract

Geopolitical events can impact volatilities of all assets, asset classes, sectors and countries. It is shown that innovations to volatilities are correlated across assets and therefore can be used to measure and hedge geopolitical risk. We introduce a definition of geopolitical risk which is based on volatility shocks to a wide range of financial market prices. To measure geopolitical risk, we propose a statistical model for the magnitude of the common volatility shocks. Accordingly, a test and estimation methods are developed and studied using both empirical and simulated data. We provide a novel explanation for why idiosyncratic volatilities comove based on a new way to formulate multiplicative factors. Finally, we propose a new criterion for portfolio optimality which is intended to reduce the exposure to geopolitical risk.

Suggested Citation

  • Robert F. Engle & Susana Campos-Martins, 2020. "Measuring and Hedging Geopolitical Risk," NIPE Working Papers 08/2020, NIPE - Universidade do Minho.
    • Handle: RePEc:nip:nipewp:08/2020
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    File URL: http://repositorium.sdum.uminho.pt/bitstream/1822/68306/3/WP%2008.2020.pdf
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    Citations

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    Cited by:

    1. Segnon, Mawuli & Gupta, Rangan & Wilfling, Bernd, 2024. "Forecasting stock market volatility with regime-switching GARCH-MIDAS: The role of geopolitical risks," International Journal of Forecasting, Elsevier, vol. 40(1), pages 29-43.
    2. Hafner, Christian & Herwartz, Helmut, 2020. "Dynamic score driven independent component analysis," LIDAM Discussion Papers ISBA 2020031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Miaozhi Yu & Na Wang, 2023. "The Influence of Geopolitical Risk on International Direct Investment and Its Countermeasures," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    4. Chen, Jinyu & Wang, Yilin & Ren, Xiaohang, 2023. "Asymmetric effect of financial stress on China’s precious metals market: Evidence from a quantile-on-quantile regression," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Saâdaoui, Foued & Ben Jabeur, Sami & Goodell, John W., 2022. "Causality of geopolitical risk on food prices: Considering the Russo–Ukrainian conflict," Finance Research Letters, Elsevier, vol. 49(C).
    6. Shihai Wu & Yili Zhang & Jianzhong Yan, 2022. "Comprehensive Assessment of Geopolitical Risk in the Himalayan Region Based on the Grid Scale," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    7. Tom Dudda & Tony Klein & Duc Khuong Nguyen & Thomas Walther, 2022. "Common Drivers of Commodity Futures?," Working Papers 2207, Utrecht School of Economics.
    8. Eghbal Rahimikia & Stefan Zohren & Ser-Huang Poon, 2021. "Realised Volatility Forecasting: Machine Learning via Financial Word Embedding," Papers 2108.00480, arXiv.org, revised Nov 2024.
    9. Kumar, Pawan & Singh, Vipul Kumar, 2022. "Systemic spillover dynamics of crude oil with Indian Financial indicators in post WPI revision and COVID era," Resources Policy, Elsevier, vol. 77(C).

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