IDEAS home Printed from https://ideas.repec.org/a/spr/comgts/v20y2023i1d10.1007_s10287-023-00447-1.html
   My bibliography  Save this article

Investment disputes and their explicit role in option market uncertainty and overall risk instability

Author

Listed:
  • Zdeněk Drábek

    (Charles University)

  • Miloš Kopa

    (Charles University)

  • Matúš Maciak

    (Charles University)

  • Michal Pešta

    (Charles University)

  • Sebastiano Vitali

    (University of Bergamo)

Abstract

We propose a methodological approach for capturing and analyzing the impacts of investment disputes on option markets. A dispute submission typically brings in unspecified uncertainty and additional risk. The implied volatility of options is shown to reflect such effects. However, nontrivial caution and nonstandard statistical techniques are needed to analyze them appropriately. Artificial options with a constant (over time) maturity are introduced to emphasize these effects. A panel data representation of artificial implied volatility smiles is used to ensure the overall model flexibility, transparency, and its practical interpretability. Finally, a stochastically valid changepoint detection procedure is adopted to reveal significant impacts of an investment dispute on the overall riskiness and the stock price evolution. The results show significant impacts of the first tribunal meeting and the first procedural order of the disputes under consideration.

Suggested Citation

  • Zdeněk Drábek & Miloš Kopa & Matúš Maciak & Michal Pešta & Sebastiano Vitali, 2023. "Investment disputes and their explicit role in option market uncertainty and overall risk instability," Computational Management Science, Springer, vol. 20(1), pages 1-25, December.
    • Handle: RePEc:spr:comgts:v:20:y:2023:i:1:d:10.1007_s10287-023-00447-1
    DOI: 10.1007/s10287-023-00447-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10287-023-00447-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10287-023-00447-1?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Miloš Kopa & Sebastiano Vitali & Tomáš Tichý & Radek Hendrych, 2017. "Implied volatility and state price density estimation: arbitrage analysis," Computational Management Science, Springer, vol. 14(4), pages 559-583, October.
    2. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    3. Monique, W.M. Donders & Roy Kouwenberg & Ton, C. F. Vorst, 2000. "Options and earnings announcements: an empirical study of volatility, trading volume, open interest and liquidity," European Financial Management, European Financial Management Association, vol. 6(2), pages 149-171, June.
    4. Chen, Ying & Han, Qian & Niu, Linlin, 2018. "Forecasting the term structure of option implied volatility: The power of an adaptive method," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 157-177.
    5. Annika Betken, 2016. "Testing for Change-Points in Long-Range Dependent Time Series by Means of a Self-Normalized Wilcoxon Test," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(6), pages 785-809, November.
    6. Huisu Jang & Jaewook Lee, 2019. "Generative Bayesian neural network model for risk-neutral pricing of American index options," Quantitative Finance, Taylor & Francis Journals, vol. 19(4), pages 587-603, April.
    7. Andrew Dubinsky & Michael Johannes & Andreas Kaeck & Norman J Seeger, 2019. "Option Pricing of Earnings Announcement Risks," The Review of Financial Studies, Society for Financial Studies, vol. 32(2), pages 646-687.
    8. Borovkova, Svetlana & Permana, Ferry J., 2009. "Implied volatility in oil markets," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2022-2039, April.
    9. Harchaoui, Z. & Lévy-Leduc, C., 2010. "Multiple Change-Point Estimation With a Total Variation Penalty," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1480-1493.
    10. Bryan Kelly & Ľuboš Pástor & Pietro Veronesi, 2016. "The Price of Political Uncertainty: Theory and Evidence from the Option Market," Journal of Finance, American Finance Association, vol. 71(5), pages 2417-2480, October.
    11. Matúš Maciak & Michal Pešta & Barbora Peštová, 2020. "Changepoint in dependent and non-stationary panels," Statistical Papers, Springer, vol. 61(4), pages 1385-1407, August.
    12. M. Benko & M. Fengler & W. Härdle & M. Kopa, 2007. "On extracting information implied in options," Computational Statistics, Springer, vol. 22(4), pages 543-553, December.
    13. Christian Bellak & Markus Leibrecht, 2021. "Investor-State Disputes in Balkan, post-Soviet Union and Near and Middle East Countries: An Empirical Appraisal," Journal of Balkan and Near Eastern Studies, Taylor & Francis Journals, vol. 23(1), pages 101-121, January.
    14. repec:bla:jfinan:v:53:y:1998:i:6:p:2059-2106 is not listed on IDEAS
    15. George Skiadopoulos & Stewart Hodges & Les Clewlow, 2000. "The Dynamics of the S&P 500 Implied Volatility Surface," Review of Derivatives Research, Springer, vol. 3(3), pages 263-282, October.
    16. Parhizgari, A.M. & Padungsaksawasdi, Chaiyuth, 2021. "Global equity market leadership positions through implied volatility measures," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 180-205.
    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. Sebastiano Vitali & Miloš Kopa & Gabriele Giana, 2023. "Implied volatility smoothing at COVID-19 times," Computational Management Science, Springer, vol. 20(1), pages 1-42, December.
    2. Matúš Maciak & Sebastiano Vitali, 2024. "Using interpolated implied volatility for analysing exogenous market changes," Computational Management Science, Springer, vol. 21(1), pages 1-21, June.
    3. Croce, M.M. & Nguyen, Thien T. & Raymond, S. & Schmid, L., 2019. "Government debt and the returns to innovation," Journal of Financial Economics, Elsevier, vol. 132(3), pages 205-225.
    4. Chan, Yue-Cheong & Saffar, Walid & Wei, K.C. John, 2021. "How economic policy uncertainty affects the cost of raising equity capital: Evidence from seasoned equity offerings," Journal of Financial Stability, Elsevier, vol. 53(C).
    5. Juan M. Londono & Mehrdad Samadi, 2023. "The Price of Macroeconomic Uncertainty: Evidence from Daily Options," International Finance Discussion Papers 1376, Board of Governors of the Federal Reserve System (U.S.).
    6. Zhibing Li & Jia Liu & Jie Liu & Xiaoyu Liu & Yinglun Zhu, 2024. "The causal effect of political risk on the stock market: Evidence from a natural experiment," Australian Economic Papers, Wiley Blackwell, vol. 63(1), pages 145-162, March.
    7. Rungmaitree, Pattamon & Boateng, Agyenim & Ahiabor, Frederick & Lu, Qinye, 2022. "Political risk, hedge fund strategies, and returns: Evidence from G7 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    8. José Valentim Machado Vicente & Jaqueline Terra Moura Marins, 2019. "A Volatility Smile-Based Uncertainty Index," Working Papers Series 502, Central Bank of Brazil, Research Department.
    9. Bilal Haider Subhani & Umar Farooq & M. Ishaq Bhatti & Muhammad Asif Khan, 2021. "Economic Policy Uncertainty, National Culture, and Corporate Debt Financing," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    10. Baur, Dirk G. & Smales, Lee A., 2020. "Hedging geopolitical risk with precious metals," Journal of Banking & Finance, Elsevier, vol. 117(C).
    11. Tarek A Hassan & Stephan Hollander & Laurence van Lent & Ahmed Tahoun, 2019. "Firm-Level Political Risk: Measurement and Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 2135-2202.
    12. Das, Debojyoti & Kannadhasan, M. & Bhattacharyya, Malay, 2019. "Do the emerging stock markets react to international economic policy uncertainty, geopolitical risk and financial stress alike?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 1-19.
    13. Wisniewski, Tomasz Piotr & Lambe, Brendan John, 2015. "Does economic policy uncertainty drive CDS spreads?," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 447-458.
    14. Sadok El Ghoul & Omrane Guedhami & Robert Nash & He (Helen) Wang, 2022. "Economic policy uncertainty and insider trading," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(4), pages 817-854, December.
    15. Matousek, Roman & Panopoulou, Ekaterini & Papachristopoulou, Andromachi, 2020. "Policy uncertainty and the capital shortfall of global financial firms," Journal of Corporate Finance, Elsevier, vol. 62(C).
    16. D'Mello, Ranjan & Toscano, Francesca, 2020. "Economic policy uncertainty and short-term financing: The case of trade credit," Journal of Corporate Finance, Elsevier, vol. 64(C).
    17. Deng, Yuping & Wu, Yanrui & Xu, Helian, 2019. "Political turnover and firm pollution discharges: An empirical study," China Economic Review, Elsevier, vol. 58(C).
    18. Ben-Nasr, Hamdi & Bouslimi, Lobna & Ebrahim, M. Shahid & Zhong, Rui, 2020. "Political uncertainty and the choice of debt sources," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    19. Steven J. Davis, 2019. "Rising Policy Uncertainty," NBER Working Papers 26243, National Bureau of Economic Research, Inc.
    20. Bianconi, Marcelo & Esposito, Federico & Sammon, Marco, 2021. "Trade policy uncertainty and stock returns," Journal of International Money and Finance, Elsevier, vol. 119(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:comgts:v:20:y:2023:i:1:d:10.1007_s10287-023-00447-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.