IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v217y2024icp32-62.html
   My bibliography  Save this article

Financial market information flows when counteracting rogue states: The indirect effects of targeted sanction packages

Author

Listed:
  • Conlon, Thomas
  • Corbet, Shaen
  • Goodell, John W.
  • Hou, Yang (Greg)
  • Oxley, Les

Abstract

This study investigates how financial sanctions packages targeting Russia influenced traditional information flow dynamics with other international financial markets and products. While providing empirical evidence regarding the use of payment systems and finance as weapons of war, it is crucial to understand if the market's response to international sanctions diminished as expectations shifted over time. Results, supported by robustness testing procedures, indicate important dynamic information flows relating to specific sanctions after the onset of the Russia-Ukraine war. In particular, those sanctions relating to the exclusion of Russia from the SWIFT payment system and those targeting banks and private wealth resulted in significant contagion effects sourced from all Russian markets examined. Such influence, however, is found to moderate and dilute as investors reconstruct their expectations and valuations. While targeted sanctions appear to impose intended market isolation, it is also associated with significant contagion effects. Although such secondary effects dissipate, they should be seen as important when implementing further targeted sanction packages.

Suggested Citation

  • Conlon, Thomas & Corbet, Shaen & Goodell, John W. & Hou, Yang (Greg) & Oxley, Les, 2024. "Financial market information flows when counteracting rogue states: The indirect effects of targeted sanction packages," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 32-62.
  • Handle: RePEc:eee:jeborg:v:217:y:2024:i:c:p:32-62
    DOI: 10.1016/j.jebo.2023.10.036
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268123003967
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jebo.2023.10.036?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tausch, Franziska & Zumbuehl, Maria, 2018. "Stability of risk attitudes and media coverage of economic news," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 295-310.
    2. Tibor Besedeš & Stefan Goldbach & Volker Nitsch, 2017. "You’re banned! The effect of sanctions on German cross-border financial flows," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 32(90), pages 263-318.
    3. Jian Yang & Zihui Yang & Yinggang Zhou, 2012. "Intraday price discovery and volatility transmission in stock index and stock index futures markets: Evidence from China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(2), pages 99-121, February.
    4. Neuenkirch, Matthias & Neumeier, Florian, 2016. "The impact of US sanctions on poverty," Journal of Development Economics, Elsevier, vol. 121(C), pages 110-119.
    5. Arunava Bandyopadhyay & Prabina Rajib, 2023. "The impact of Sino–US trade war on price discovery of soybean: A double‐edged sword?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(7), pages 858-879, July.
    6. Wang, Yiwei & Wang, Ke & Chang, Chun-Ping, 2019. "The impacts of economic sanctions on exchange rate volatility," Economic Modelling, Elsevier, vol. 82(C), pages 58-65.
    7. Shahzad, Umer & Mohammed, Kamel Si & Tiwari, Sunil & Nakonieczny, Joanna & Nesterowicz, Renata, 2023. "Connectedness between geopolitical risk, financial instability indices and precious metals markets: Novel findings from Russia Ukraine conflict perspective," Resources Policy, Elsevier, vol. 80(C).
    8. Corbet, Shaen & Goodell, John W. & Günay, Samet, 2020. "Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19," Energy Economics, Elsevier, vol. 92(C).
    9. deB. Harris, Frederick H. & McInish, Thomas H. & Wood, Robert A., 2002. "Security price adjustment across exchanges: an investigation of common factor components for Dow stocks," Journal of Financial Markets, Elsevier, vol. 5(3), pages 277-308, July.
    10. Hou, Yang & Li, Steven & Wen, Fenghua, 2019. "Time-varying volatility spillover between Chinese fuel oil and stock index futures markets based on a DCC-GARCH model with a semi-nonparametric approach," Energy Economics, Elsevier, vol. 83(C), pages 119-143.
    11. Steinbach, Sandro, 2023. "The Russia–Ukraine war and global trade reallocations," Economics Letters, Elsevier, vol. 226(C).
    12. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    13. Rigobon, Roberto & Sack, Brian, 2005. "The effects of war risk on US financial markets," Journal of Banking & Finance, Elsevier, vol. 29(7), pages 1769-1789, July.
    14. Dimpfl, Thomas & Peter, Franziska J., 2021. "Nothing but noise? Price discovery across cryptocurrency exchanges," Journal of Financial Markets, Elsevier, vol. 54(C).
    15. Del Brio, Esther B. & Ñíguez, Trino-Manuel & Perote, Javier, 2011. "Multivariate semi-nonparametric distributions with dynamic conditional correlations," International Journal of Forecasting, Elsevier, vol. 27(2), pages 347-364.
    16. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    17. Coupe, Tom & Obrizan, Maksym, 2016. "The impact of war on happiness: The case of Ukraine," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 228-242.
    18. G. Geoffrey Booth & Ji-Chai Lin & Teppo Martikainen & Yiuman Tse, 2002. "Trading and Pricing in Upstairs and Downstairs Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1111-1135.
    19. Muzhao Jin & Youwei Li & Jianxin Wang & Yung Chiang Yang, 2018. "Price discovery in the Chinese gold market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1262-1281, October.
    20. Neuenkirch, Matthias & Neumeier, Florian, 2015. "The impact of UN and US economic sanctions on GDP growth," European Journal of Political Economy, Elsevier, vol. 40(PA), pages 110-125.
    21. Afesorgbor, Sylvanus Kwaku & Mahadevan, Renuka, 2016. "The Impact of Economic Sanctions on Income Inequality of Target States," World Development, Elsevier, vol. 83(C), pages 1-11.
    22. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    23. Yan, Bingcheng & Zivot, Eric, 2010. "A structural analysis of price discovery measures," Journal of Financial Markets, Elsevier, vol. 13(1), pages 1-19, February.
    24. Dreger, Christian & Kholodilin, Konstantin A. & Ulbricht, Dirk & Fidrmuc, Jarko, 2016. "Between the Hammer and the Anvil: The Impact of Economic Sanctions and Oil Prices on Russia’s Ruble," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 44(2), pages 295-308.
    25. Engle, Robert F & Gonzalez-Rivera, Gloria, 1991. "Semiparametric ARCH Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(4), pages 345-359, October.
    26. Ñíguez, Trino-Manuel & Perote, Javier, 2016. "Multivariate moments expansion density: Application of the dynamic equicorrelation model," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 216-232.
    27. Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-362, July.
    28. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2021. "An analysis of investor behaviour and information flows surrounding the negative WTI oil price futures event," Energy Economics, Elsevier, vol. 104(C).
    29. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Yaya, OlaOluwa S. & Al-Faryan, Mamdouh Abdulaziz Saleh, 2022. "Does oil connect differently with prominent assets during war? Analysis of intra-day data during the Russia-Ukraine saga," Resources Policy, Elsevier, vol. 77(C).
    30. Ron P Smith, 2014. "The economic costs of military conflict," Journal of Peace Research, Peace Research Institute Oslo, vol. 51(2), pages 245-256, March.
    31. Chortane, Sana Gaied & Pandey, Dharen Kumar, 2022. "Does the Russia-Ukraine war lead to currency asymmetries? A US dollar tale," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    32. Manela, Asaf & Moreira, Alan, 2017. "News implied volatility and disaster concerns," Journal of Financial Economics, Elsevier, vol. 123(1), pages 137-162.
    33. Costola, Michele & Lorusso, Marco, 2022. "Spillovers among energy commodities and the Russian stock market," Journal of Commodity Markets, Elsevier, vol. 28(C).
    34. Chen, Yufeng & Wang, Chuwen & Zhu, Zhitao, 2022. "Toward the integration of European gas futures market under COVID-19 shock: A quantile connectedness approach," Energy Economics, Elsevier, vol. 114(C).
    35. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    36. Andres F. Jola-Sanchez & Juan Camilo Serpa, 2021. "Inventory in Times of War," Management Science, INFORMS, vol. 67(10), pages 6457-6479, October.
    37. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    38. Ahmed, Maruf Yakubu & Sarkodie, Samuel Asumadu, 2021. "COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility," Resources Policy, Elsevier, vol. 74(C).
    39. Joo, Young C. & Park, Sung Y., 2017. "Oil prices and stock markets: Does the effect of uncertainty change over time?," Energy Economics, Elsevier, vol. 61(C), pages 42-51.
    40. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Adewuyi, Adeolu O. & Lee, Chien-Chiang, 2022. "Quantile risk spillovers between energy and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak," Energy Economics, Elsevier, vol. 113(C).
    41. Farzanegan, Mohammad Reza, 2011. "Oil revenue shocks and government spending behavior in Iran," Energy Economics, Elsevier, vol. 33(6), pages 1055-1069.
    42. Chaban, Maxym, 2009. "Commodity currencies and equity flows," Journal of International Money and Finance, Elsevier, vol. 28(5), pages 836-852, September.
    43. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-547, August.
    44. Ma, Richie Ruchuan & Xiong, Tao & Bao, Yukun, 2021. "The Russia-Saudi Arabia oil price war during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 102(C).
    45. Ahn, Soojung & Kim, Dongin & Steinbach, Sandro, 2023. "Global Grain Trade Implications of the Russia-Ukraine War," 2023 Annual Meeting, July 23-25, Washington D.C. 335482, Agricultural and Applied Economics Association.
    46. Cui, Lianbiao & Yue, Suyun & Nghiem, Xuan-Hoa & Duan, Mei, 2023. "Exploring the risk and economic vulnerability of global energy supply chain interruption in the context of Russo-Ukrainian war," Resources Policy, Elsevier, vol. 81(C).
    47. Chunchi Wu & Jinliang Li & Wei Zhang, 2005. "Intradaily periodicity and volatility spillovers between international stock index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(6), pages 553-585, June.
    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. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2021. "An analysis of investor behaviour and information flows surrounding the negative WTI oil price futures event," Energy Economics, Elsevier, vol. 104(C).
    2. Hou, Yang & Li, Steven & Wen, Fenghua, 2019. "Time-varying volatility spillover between Chinese fuel oil and stock index futures markets based on a DCC-GARCH model with a semi-nonparametric approach," Energy Economics, Elsevier, vol. 83(C), pages 119-143.
    3. Hou, Yang & Li, Steven, 2017. "Time-Varying Price Discovery and Autoregressive Loading Factors: Evidence from S&P 500 Cash and E-Mini Futures Markets," MPRA Paper 81999, University Library of Munich, Germany.
    4. Hou, Yang & Nartea, Gilbert, 2017. "Price Discovery in the Stock Index Futures Market: Evidence from the Chinese stock market crash," MPRA Paper 81995, University Library of Munich, Germany.
    5. Collings, David & Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Oxley, Les, 2022. "The effects of negative reputational contagion on international airlines: The case of the Boeing 737-MAX disasters," International Review of Financial Analysis, Elsevier, vol. 80(C).
    6. Yang Hou & Steven Li & Fenghua Wen, 2021. "Time-varying information share and autoregressive loading factors: evidence from S&P 500 cash and E-mini futures markets," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 91-110, July.
    7. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "The influence of the COVID-19 pandemic on the hedging functionality of Chinese financial markets," Research in International Business and Finance, Elsevier, vol. 59(C).
    8. Firat Demir & Saleh S. Tabrizy, 2022. "Gendered effects of sanctions on manufacturing employment: Evidence from Iran," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2040-2069, November.
    9. Corbet, Shaen & Cumming, Douglas J. & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "Have crisis-induced banking supports influenced European bank performance, resilience and price discovery?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    10. Arzandeh, Mehdi & Frank, Julieta, 2017. "The Information Content of the Limit Order Book," 7th Annual Canadian Agri-Food Policy Conference, January 11-13, 2017, Ottawa, ON 253251, Canadian Agricultural Economics Society.
    11. Zhou, Xinmiao & Zhang, Junru & Zhang, Zhaoyong, 2021. "How does news flow affect cross-market volatility spillovers? Evidence from China’s stock index futures and spot markets," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 196-213.
    12. Yang Hu & Yang (Greg) Hou & Les Oxley, 2019. "Spot and Futures Prices of Bitcoin: Causality, Cointegration and Price Discovery from a Time-Varying Perspective," Working Papers in Economics 19/13, University of Waikato.
    13. Hu, Yang & Hou, Yang Greg & Oxley, Les, 2020. "What role do futures markets play in Bitcoin pricing? Causality, cointegration and price discovery from a time-varying perspective?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    14. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid-Ask Spread?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1482-1498.
    15. Corbet, Shaen & Hou, Yang & Hu, Yang & Oxley, Les, 2020. "The influence of the COVID-19 pandemic on asset-price discovery: Testing the case of Chinese informational asymmetry," International Review of Financial Analysis, Elsevier, vol. 72(C).
    16. Sarveshwar Kumar Inani, 2017. "Price discovery in Indian stock index futures market: new evidence based on intraday data," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 14(1), pages 23-43.
    17. Yang (Greg) Hou & Mark Holmes, 2020. "Do higher order moments of return distribution provide better decisions in minimum-variance hedging? Evidence from US stock index futures," Australian Journal of Management, Australian School of Business, vol. 45(2), pages 240-265, May.
    18. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    19. Shrestha, Keshab & Philip, Sheena & Peranginangin, Yessy, 2020. "Contributions of Crude Oil Exchange Traded Funds in Price Discovery Process," American Business Review, Pompea College of Business, University of New Haven, vol. 23(2), pages 393-407, November.
    20. Pascual, Roberto & Pascual-Fuster, Bartolome & Climent, Francisco, 2006. "Cross-listing, price discovery and the informativeness of the trading process," Journal of Financial Markets, Elsevier, vol. 9(2), pages 144-161, May.

    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:eee:jeborg:v:217:y:2024:i:c:p:32-62. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jebo .

    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.