IDEAS home Printed from https://ideas.repec.org/a/idn/journl/v27y2024i3ep483-526.html
   My bibliography  Save this article

Assessing And Mitigating The Impact Of Geopolitical Risk Uncertainty On The Indian Financial Sector: A Policy Perspective

Author

Listed:
  • Satish Kumar

    (Indian Institute of Management Nagpur, India)

  • Amar Rao

    (Munjal University, Gurugram, India)

Abstract

The study explores the impact of geopolitical risk uncertainty on the Indian financial sector, focusing on bonds, banking, currency, and the equity markets. It uses a Quantile Vector AutoRegression (QVAR) approach to examine shock transmission under different market conditions. Results show that geopolitical risks significantly influence the Indian financial sector, with varying levels of shock transmission across different market conditions. The currency and banking sectors show heightened sensitivity during periods of increased uncertainty. The findings suggest the need for effective monitoring systems and comprehensive risk management strategies to mitigate the adverse effects of geopolitical risks.

Suggested Citation

  • Satish Kumar & Amar Rao, 2024. "Assessing And Mitigating The Impact Of Geopolitical Risk Uncertainty On The Indian Financial Sector: A Policy Perspective," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 27(3), pages 483-526, July.
  • Handle: RePEc:idn:journl:v:27:y:2024:i:3e:p:483-526
    DOI: https://doi.org/10.59091/2460-9196.2278
    as

    Download full text from publisher

    File URL: https://bulletin.bmeb-bi.org/cgi/viewcontent.cgi?article=2278&context=bmeb
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.59091/2460-9196.2278?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gkillas, Konstantinos & Gupta, Rangan & Wohar, Mark E., 2018. "Volatility jumps: The role of geopolitical risks," Finance Research Letters, Elsevier, vol. 27(C), pages 247-258.
    2. Chatziantoniou, Ioannis & Gabauer, David, 2021. "EMU risk-synchronisation and financial fragility through the prism of dynamic connectedness," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 1-14.
    3. Nitsch, Volker & Schumacher, Dieter, 2004. "Terrorism and international trade: an empirical investigation," European Journal of Political Economy, Elsevier, vol. 20(2), pages 423-433, June.
    4. Park, Cyn-Young & Mercado, Rogelio V., 2014. "Determinants of financial stress in emerging market economies," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 199-224.
    5. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    6. Viviana Fernandez, 2007. "Stock Market Turmoil: Worldwide Effects of Middle East Conflicts," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 43(3), pages 58-102, June.
    7. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    8. Christopher Clayton & Matteo Maggiori & Jesse Schreger, 2023. "A Framework for Geoeconomics," NBER Working Papers 31852, National Bureau of Economic Research, Inc.
    9. Hoque, Mohammad Enamul & Sahabuddin, Mohammad & Bilgili, Faik, 2024. "Volatility interconnectedness among financial and geopolitical markets: Evidence from COVID-19 and Ukraine-Russia crises," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 303-320.
    10. Stanley Fischer, 2003. "Financial crises and reform of the international financial system," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 139(1), pages 1-37, March.
    11. Nicolas Himounet, 2022. "Searching the nature of uncertainty: Macroeconomic and financial risks VS geopolitical and pandemic risks," International Economics, CEPII research center, issue 170, pages 1-31.
    12. Muhammad Usman & Zaghum Umar & Mariya Gubareva & Dang Khoa Tran, 2023. "Spillovers from stock markets to currency markets: Evidence from Copula-CoVar with time-varying higher moments," Applied Economics, Taylor & Francis Journals, vol. 55(52), pages 6091-6114, November.
    13. Machiko Nissanke & Howard Stein, 2003. "Financial Globalization and Economic Development: Toward an Institutional Foundation," Eastern Economic Journal, Eastern Economic Association, vol. 29(2), pages 287-308, Spring.
    14. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Syeda Beena Zaidi & Abidullah Khan & Shabeer Khan & Mohd Ziaur Rehman & Wadi B. Alonazi & Abul Ala Noman, 2023. "Connectedness between Pakistan’s Stock Markets with Global Factors: An Application of Quantile VAR Network Model," Mathematics, MDPI, vol. 11(19), pages 1-17, October.
    2. Antonakakis, Nikolaos & Cunado, Juncal & Filis, George & Gabauer, David & de Gracia, Fernando Perez, 2023. "Dynamic connectedness among the implied volatilities of oil prices and financial assets: New evidence of the COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 114-123.
    3. Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2021. "Financial stress, economic policy uncertainty, and oil price uncertainty," Energy Economics, Elsevier, vol. 104(C).
    4. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    5. Juncal Cunado & David Gabauer & Rangan Gupta, 2024. "Realized volatility spillovers between energy and metal markets: a time-varying connectedness approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-17, December.
    6. Youtao Xiang & Sumuya Borjigin, 2024. "High–low volatility spillover network between economic policy uncertainty and commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(8), pages 1295-1319, August.
    7. Gabauer, David & Chatziantoniou, Ioannis & Stenfors, Alexis, 2023. "Model-free connectedness measures," Finance Research Letters, Elsevier, vol. 54(C).
    8. Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2021. "Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach," Economics Letters, Elsevier, vol. 204(C).
    9. Muneer Shaik & Mohd Ziaur Rehman, 2023. "The Dynamic Volatility Connectedness of Major Environmental, Social, and Governance (ESG) Stock Indices: Evidence Based on DCC-GARCH Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 231-246, March.
    10. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    11. Han, SeungOh, 2024. "Hedging strategies for U.S. factor and sector exchange-traded funds during geopolitical events," Finance Research Letters, Elsevier, vol. 65(C).
    12. Chang, Hao-Wen & Chang, Tsangyao & Ling, Yuan Hung & Yang, Yung-Lieh, 2023. "Dynamical linkages between the Brent oil price and stock markets in BRICS using quantile connectedness approach," Finance Research Letters, Elsevier, vol. 54(C).
    13. Cevik, Emrah Ismail & Caliskan Terzioglu, Hande & Kilic, Yunus & Bugan, Mehmet Fatih & Dibooglu, Sel, 2024. "Interconnectedness and systemic risk: Evidence from global stock markets," Research in International Business and Finance, Elsevier, vol. 69(C).
    14. Lu, Chengwu & Zafar, Muhammad Wasif & Cevik, Emrah I. & Destek, Mehmet Akif & Bugan, Mehmet Fatih, 2023. "Time and quantile domain connectedness between the geopolitical risk of China and precious metals markets," Resources Policy, Elsevier, vol. 85(PA).
    15. Kamal, Javed Bin & Wohar, Mark & Kamal, Khaled Bin, 2022. "Do gold, oil, equities, and currencies hedge economic policy uncertainty and geopolitical risks during covid crisis?," Resources Policy, Elsevier, vol. 78(C).
    16. Nikolaos Antonakakis & Ioannis Chatziantoniou & George Filis, 2014. "Dynamic Spillovers of Oil Price Shocks and Policy Uncertainty," Department of Economics Working Papers wuwp166, Vienna University of Economics and Business, Department of Economics.
    17. Aharon, David Y. & Kizys, Renatas & Umar, Zaghum & Zaremba, Adam, 2023. "Did David win a battle or the war against Goliath? Dynamic return and volatility connectedness between the GameStop stock and the high short interest indices," Research in International Business and Finance, Elsevier, vol. 64(C).
    18. Stenfors, Alexis & Chatziantoniou, Ioannis & Gabauer, David, 2022. "Independent policy, dependent outcomes: A game of cross-country dominoes across European yield curves," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    19. Peng‐Fei Dai & John W. Goodell & Luu Duc Toan Huynh & Zhifeng Liu & Shaen Corbet, 2023. "Understanding the transmission of crash risk between cryptocurrency and equity markets," The Financial Review, Eastern Finance Association, vol. 58(3), pages 539-573, August.
    20. Foglia, Matteo & Palomba, Giulio & Tedeschi, Marco, 2023. "Disentangling the geopolitical risk and its effects on commodities. Evidence from a panel of G8 countries," Resources Policy, Elsevier, vol. 85(PB).

    More about this item

    Keywords

    Geopolitical risk; Financial sector; India; Policy implications; Risk management; Shock transmission;
    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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G01 - Financial Economics - - General - - - Financial Crises
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:idn:journl:v:27:y:2024:i:3e:p:483-526. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lutzardo Tobing or Jimmy Kathon (email available below). General contact details of provider: https://edirc.repec.org/data/bigovid.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.