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Do emerging art market segments have their own price dynamics? Evidence from the Chinese art market

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  • Wang, Fang

Abstract

This study examines the nonlinear dynamics in the price series of Chinese art market segments between 2000 and 2019. We employ a hedonic price model to construct price indices of Chinese art market segments and analyze the nonlinearities and regime-switching properties of the individual segment using a series of Markov switching model specifications. We argue that occasional shocks would only temporarily alter their data-generating processes and have transitory effects. Moreover, we investigate the impact of COVID-19 on Chinese art market segments. Our findings have implications for market participants in identifying the price characteristics and dynamic behavior of art market segments.

Suggested Citation

  • Wang, Fang, 2023. "Do emerging art market segments have their own price dynamics? Evidence from the Chinese art market," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 318-331.
    • Handle: RePEc:eee:reveco:v:84:y:2023:i:c:p:318-331
    DOI: 10.1016/j.iref.2022.11.015
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    1. Nelson, Charles R & Piger, Jeremy & Zivot, Eric, 2001. "Markov Regime Switching and Unit-Root Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 404-415, October.
    2. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    3. Kanas, Angelos & Genius, Margarita, 2005. "Regime (non)stationarity in the US/UK real exchange rate," Economics Letters, Elsevier, vol. 87(3), pages 407-413, June.
    4. Baumol, William J, 1986. "Unnatural Value: Or Art Investment as Floating Crap Game," American Economic Review, American Economic Association, vol. 76(2), pages 10-14, May.
    5. David, Géraldine & Oosterlinck, Kim & Szafarz, Ariane, 2013. "Art market inefficiency," Economics Letters, Elsevier, vol. 121(1), pages 23-25.
    6. Aye, Goodness C. & Gil-Alana, Luis A. & Gupta, Rangan & Wohar, Mark E., 2017. "The efficiency of the art market: Evidence from variance ratio tests, linear and nonlinear fractional integration approaches," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 283-294.
    7. Jianping Mei & Michael Moses, 2002. "Art as an Investment and the Underperformance of Masterpieces," American Economic Review, American Economic Association, vol. 92(5), pages 1656-1668, December.
    8. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    9. Luc Renneboog & Christophe Spaenjers, 2013. "Buying Beauty: On Prices and Returns in the Art Market," Management Science, INFORMS, vol. 59(1), pages 36-53, February.
    10. Andrew Ang & Allan Timmermann, 2012. "Regime Changes and Financial Markets," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 313-337, October.
    11. Goetzmann, William N, 1993. "Accounting for Taste: Art and the Financial Markets over Three Centuries," American Economic Review, American Economic Association, vol. 83(5), pages 1370-1376, December.
    12. Hall, Stephen G & Psaradakis, Zacharias & Sola, Martin, 1999. "Detecting Periodically Collapsing Bubbles: A Markov-Switching Unit Root Test," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 143-154, March-Apr.
    13. Lee, Dongin & Schmidt, Peter, 1996. "On the power of the KPSS test of stationarity against fractionally-integrated alternatives," Journal of Econometrics, Elsevier, vol. 73(1), pages 285-302, July.
    14. Kraeussl, Roman & Logher, Robin, 2010. "Emerging art markets," Emerging Markets Review, Elsevier, vol. 11(4), pages 301-318, December.
    15. Kräussl, Roman & Lehnert, Thorsten & Martelin, Nicolas, 2016. "Is there a bubble in the art market?," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 99-109.
    16. Arouri, Mohamed & Estay, Christophe & Rault, Christophe & Roubaud, David, 2016. "Economic policy uncertainty and stock markets: Long-run evidence from the US," Finance Research Letters, Elsevier, vol. 18(C), pages 136-141.
    17. Dibooglu, Sel & Erdogan, Seyfettin & Yildirim, Durmus Cagri & Cevik, Emrah Ismail, 2020. "Financial conditions and monetary policy in the US," Economic Systems, Elsevier, vol. 44(4).
    18. Hassler, Uwe & Wolters, Jurgen, 1994. "On the power of unit root tests against fractional alternatives," Economics Letters, Elsevier, vol. 45(1), pages 1-5, May.
    19. Diebold, Francis X. & Rudebusch, Glenn D., 1991. "On the power of Dickey-Fuller tests against fractional alternatives," Economics Letters, Elsevier, vol. 35(2), pages 155-160, February.
    20. Emrah Çevik & Erdal Atukeren & Turhan Korkmaz, 2013. "Nonlinearity and nonstationarity in international art market prices: evidence from Markov-switching ADF unit root tests," Empirical Economics, Springer, vol. 45(2), pages 675-695, October.
    21. Chanel, Olivier, 1995. "Is art market behaviour predictable?," European Economic Review, Elsevier, vol. 39(3-4), pages 519-527, April.
    22. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    23. Arouri, Mohamed & Estay, Christophe & Rault, Christophe & Roubaud, David, 2016. "Economic policy uncertainty and stock markets: Long-run evidence from the US," Finance Research Letters, Elsevier, vol. 18(C), pages 136-141.
    24. Garay, Urbi, 2021. "Determinants of art prices and performance by movements: Long-run evidence from an emerging market," Journal of Business Research, Elsevier, vol. 127(C), pages 413-426.
    25. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    26. Andrew C. Worthington & Helen Higgs, 2004. "Art as an investment: risk, return and portfolio diversification in major painting markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 44(2), pages 257-271, July.
    27. Douglas Hodgson & Aylin Seçkin, 2012. "Dynamic price dependence of Canadian and international art markets: an empirical analysis," Empirical Economics, Springer, vol. 43(2), pages 867-890, October.
    28. Demir, Ender & Gozgor, Giray & Sari, Emre, 2018. "Dynamics of the Turkish paintings market: A comprehensive empirical study," Emerging Markets Review, Elsevier, vol. 36(C), pages 180-194.
    29. Benjamin R. Mandel, 2009. "Art as an Investment and Conspicuous Consumption Good," American Economic Review, American Economic Association, vol. 99(4), pages 1653-1663, September.
    30. Fedderke, Johannes W. & Li, Kaini, 2020. "Art in Africa: Hedonic price analysis of the South African fine art auction market, 2009–2014," Economic Modelling, Elsevier, vol. 84(C), pages 88-101.
    31. Andrew C. Worthington & Helen Higgs, 2003. "Art as an investment: Short and long-term comovements in major painting markets," Empirical Economics, Springer, vol. 28(4), pages 649-668, November.
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    More about this item

    Keywords

    Chinese art market segments; COVID-19; Hedonic price model; Markov switching; Nonlinearity;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature

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