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Analysis of the joint distribution of stock and art indices: Attempt of a copular approach

Author

Listed:
  • Nikita Petrov

    (National Research University Higher School of Economics, Moscow, Russian Federation)

  • Tatiana Ratnikova

    (National Research University Higher School of Economics, Moscow, Russian Federation)

Abstract

The aim of this work is to study the relationship between traditional financial and stock indices and indices characterizing the profitability of the art market. The discovery of such a relationship allows to optimize the choice of the investment portfolio structure and hedge risks. The use of traditional tools for analyzing correlation dependencies (for example, VAR-models), based on the hypothesis of joint normal distributions of the analyzed indicators, is ineffective here. The approach of copulas seems more appropriate because of the possibility to take into account non-linear hierarchical structures of interconnections. To simulate the joint distribution function of returns of several indices (on Matisse paintings, on painting in general, prices of gold, shares of art companies and S&P500 index), an attempt was made to use nested Archimedean copulas of various configiurations. Based on the available data, it can be concluded that the distribution of returns of the above listed indices is sensitive to the configuration of the copula. The analysis of paired copulas in most cases did not allow detecting links between the indices. However, taking into account the hierarchy in the structure of the copula allows to see that the dependence of a pair of yields on «financial» indices (S&P500 and Shares) and the Matisse art- index is higher than the relationship between this pair and Art Global Index (on painting in general) and Gold.

Suggested Citation

  • Nikita Petrov & Tatiana Ratnikova, 2018. "Analysis of the joint distribution of stock and art indices: Attempt of a copular approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 46-61.
    • Handle: RePEc:ris:apltrx:0355
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    References listed on IDEAS

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    1. Myers, Stewart C. & Majluf, Nicholas S., 1984. "Corporate financing and investment decisions when firms have information that investors do not have," Journal of Financial Economics, Elsevier, vol. 13(2), pages 187-221, June.
    2. Denis, David J. & Mihov, Vassil T., 2003. "The choice among bank debt, non-bank private debt, and public debt: evidence from new corporate borrowings," Journal of Financial Economics, Elsevier, vol. 70(1), pages 3-28, October.
    3. Joshua D. Rauh & Amir Sufi, 2010. "Capital Structure and Debt Structure," The Review of Financial Studies, Society for Financial Studies, vol. 23(12), pages 4242-4280, December.
    4. Ettore Croci & Alfonso Giudice & Håkan Jankensgård, 2017. "CEO Age, Risk Incentives, and Hedging Strategy," Financial Management, Financial Management Association International, vol. 46(3), pages 687-716, September.
    5. Matteo Arena, 2011. "The corporate choice between public debt, bank loans, traditional private debt placements, and 144A debt issues," Review of Quantitative Finance and Accounting, Springer, vol. 36(3), pages 391-416, April.
    6. Gomes, Armando & Phillips, Gordon, 2012. "Why do public firms issue private and public securities?," Journal of Financial Intermediation, Elsevier, vol. 21(4), pages 619-658.
    7. Gugler, Klaus & Ivanova, Natalia & Zechner, Josef, 2014. "Ownership and control in Central and Eastern Europe," Journal of Corporate Finance, Elsevier, vol. 26(C), pages 145-163.
    8. Serfling, Matthew A., 2014. "CEO age and the riskiness of corporate policies," Journal of Corporate Finance, Elsevier, vol. 25(C), pages 251-273.
    9. Goel, Manisha & Zemel, Michelle, 2018. "Switching to bonds when loans are scarce: Evidence from four U.S. crises," Journal of Corporate Finance, Elsevier, vol. 52(C), pages 1-27.
    10. Houston, Joel & James, Christopher, 1996. "Bank Information Monopolies and the Mix of Private and Public Debt Claims," Journal of Finance, American Finance Association, vol. 51(5), pages 1863-1889, December.
    11. Dirk Hackbarth & Christopher A. Hennessy & Hayne E. Leland, 2007. "Can the Trade-off Theory Explain Debt Structure?," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1389-1428, 2007 04.
    12. Lin, Chen & Ma, Yue & Malatesta, Paul & Xuan, Yuhai, 2013. "Corporate ownership structure and the choice between bank debt and public debt," Journal of Financial Economics, Elsevier, vol. 109(2), pages 517-534.
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    More about this item

    Keywords

    art market; price indices; art indices; hedonic price function; multilevel regression; joint distrib;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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