[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eee/intfin/v71y2021ics1042443121000317.html
   My bibliography  Save this article

Market efficiency in the art markets using a combination of long memory, fractal dimension, and approximate entropy measures

Author

Listed:
  • Assaf, Ata
  • Kristoufek, Ladislav
  • Demir, Ender
  • Kumar Mitra, Subrata
Abstract
In this paper, we investigate the efficiency in the art markets, using a generalized spectral test (GST) in a rolling window approach to detect departure from the martingale difference hypothesis (MDH) and trace the periods of market efficiency over time. Then we complement our results using the approximate entropy, the rescaled range analysis, and fractal dimension. We combine the three measures in an Efficiency Index for each market. Applying these methods, we find that the Modern Art, Paintings, Post-war, Prints, the USA market, and the global market in Euro show the largest values for the Approximate Entropy. Using the rescaled range estimates, we find that all markets are characterized by persistent behavior and, then using the Efficiency Index, our results indicate overwhelming evidence of market inefficiency in almost all sectors. Finally, we support our findings with some explanation of the reasons behind market inefficiency, related to asymmetrical information, influential galleries power, and differentiated pieces and talents in the art markets.

Suggested Citation

  • Assaf, Ata & Kristoufek, Ladislav & Demir, Ender & Kumar Mitra, Subrata, 2021. "Market efficiency in the art markets using a combination of long memory, fractal dimension, and approximate entropy measures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
  • Handle: RePEc:eee:intfin:v:71:y:2021:i:c:s1042443121000317
    DOI: 10.1016/j.intfin.2021.101312
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1042443121000317
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intfin.2021.101312?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. John Geweke & Susan Porter‐Hudak, 1983. "The Estimation And Application Of Long Memory Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 221-238, July.
    2. Orley Ashenfelter & Kathryn Graddy, 2011. "Sale Rates and Price Movements in Art Auctions," American Economic Review, American Economic Association, vol. 101(3), pages 212-216, May.
    3. Xin Li & Chi-Wei Su & Meng Qin & Fahai Zhao, 2020. "Testing for Bubbles in the Chinese Art Market," SAGE Open, , vol. 10(1), pages 21582440199, January.
    4. Frey, Bruno S. & Eichenberger, Reiner, 1995. "On the rate of return in the art market: Survey and evaluation," European Economic Review, Elsevier, vol. 39(3-4), pages 528-537, April.
    5. Ladislav Kristoufek & Miloslav Vosvrda, 2014. "Measuring capital market efficiency: long-term memory, fractal dimension and approximate entropy," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 87(7), pages 1-9, July.
    6. Ashenfelter, Orley, 1989. "How Auctions Work for Wine and Art," Journal of Economic Perspectives, American Economic Association, vol. 3(3), pages 23-36, Summer.
    7. Lanne, Markku & Lutkepohl, Helmut, 2002. "Unit root tests for time series with level shifts: a comparison of different proposals," Economics Letters, Elsevier, vol. 75(1), pages 109-114, March.
    8. 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.
    9. Saikkonen, Pentti & Lütkepohl, Helmut, 2002. "Testing For A Unit Root In A Time Series With A Level Shift At Unknown Time," Econometric Theory, Cambridge University Press, vol. 18(2), pages 313-348, April.
    10. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Commodity futures and market efficiency," Energy Economics, Elsevier, vol. 42(C), pages 50-57.
    11. Orley Ashenfelter & Kathryn Graddy, 2011. "Sale Rates and Price Movements in Art Auctions," American Economic Review, American Economic Association, vol. 101(3), pages 212-216, May.
    12. Kristoufek, Ladislav & Vosvrda, Miloslav, 2016. "Gold, currencies and market efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 27-34.
    13. 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.
    14. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    15. Chanel, Olivier, 1995. "Is art market behaviour predictable?," European Economic Review, Elsevier, vol. 39(3-4), pages 519-527, April.
    16. Taylor, Dominic & Coleman, Les, 2011. "Price determinants of Aboriginal art, and its role as an alternative asset class," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1519-1529, June.
    17. Jushan Bai & Pierre Perron, 2003. "Critical values for multiple structural change tests," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 72-78, June.
    18. Assaf, Ata, 2018. "Testing for bubbles in the art markets: An empirical investigation," Economic Modelling, Elsevier, vol. 68(C), pages 340-355.
    19. Kristoufek, Ladislav & Vosvrda, Miloslav, 2013. "Measuring capital market efficiency: Global and local correlations structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 184-193.
    20. David, Géraldine & Oosterlinck, Kim & Szafarz, Ariane, 2013. "Art market inefficiency," Economics Letters, Elsevier, vol. 121(1), pages 23-25.
    21. 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.
    22. 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.
    23. Anderson, Robert C, 1974. "Paintings as an Investment," Economic Inquiry, Western Economic Association International, vol. 12(1), pages 13-26, March.
    24. Federico Etro & Elena Stepanova, 2019. "On the Efficiency of Art Markets. Evidence on return rates from old master paintings to contemporary art," Working Papers - Economics wp2019_29.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    25. Richard J. Agnello, 2002. "Investment Returns and Risk for Art: Evidence from Auctions of American Paintings," Eastern Economic Journal, Eastern Economic Association, vol. 28(4), pages 443-463, Fall.
    26. Helen Higgs & Andrew Worthington, 2005. "Financial Returns and Price Determinants in the Australian Art Market, 1973–2003," The Economic Record, The Economic Society of Australia, vol. 81(253), pages 113-123, June.
    27. Markku Lanne & Helmut Lütkepohl & Pentti Saikkonen, 2002. "Comparison of unit root tests for time series with level shifts," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(6), pages 667-685, November.
    28. 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.
    29. 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.
    30. Le Fur, Eric, 2020. "Dynamics of the global fine art market prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 167-180.
    31. 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.
    32. Orley Ashenfelter & Kathryn Graddy, 2003. "Auctions and the Price of Art," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 763-787, September.
    33. 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.
    34. 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.
    35. Escanciano, J. Carlos & Velasco, Carlos, 2006. "Generalized spectral tests for the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 134(1), pages 151-185, September.
    36. Kraeussl, Roman & Logher, Robin, 2010. "Emerging art markets," Emerging Markets Review, Elsevier, vol. 11(4), pages 301-318, December.
    37. Kristoufek, Ladislav, 2018. "On Bitcoin markets (in)efficiency and its evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 257-262.
    38. 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.
    39. Nicholas Kaldor, 1939. "Speculation and Economic Stability," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 7(1), pages 1-27.
    40. 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.
    41. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    42. Goodness C. Aye & Tsang Yao Chang & Wen†Yi Chen & Rangan Gupta & Mark Wohar, 2018. "Testing the Efficiency of the Art Market Using Quantile†Based Unit Root Tests with Sharp and Smooth Breaks," Manchester School, University of Manchester, vol. 86(4), pages 488-511, July.
    43. Pesando, James E, 1993. "Art as an Investment: The Market for Modern Prints," American Economic Review, American Economic Association, vol. 83(5), pages 1075-1089, December.
    44. Stein, John Picard, 1977. "The Monetary Appreciation of Paintings," Journal of Political Economy, University of Chicago Press, vol. 85(5), pages 1021-1035, October.
    45. Yang Shi & Paul Conroy & Mancang Wang & Chenlu Dang, 2018. "The Investment Performance of Art in Mainland China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(6), pages 1358-1374, May.
    46. repec:pri:cepsud:214ashenfelter is not listed on IDEAS
    47. Helen Higgs, 2012. "A ustralian Art Market Prices During the Global Financial Crisis and Two Earlier Decades," Australian Economic Papers, Wiley Blackwell, vol. 51(4), pages 189-209, December.
    48. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    49. Erdos, Péter & Ormos, Mihály, 2010. "Random walk theory and the weak-form efficiency of the US art auction prices," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 1062-1076, May.
    50. Richard Agnello & Renée Pierce, 1996. "Financial returns, price determinants, and genre effects in American art investment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 20(4), pages 359-383, December.
    51. 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.
    52. Lim, Kian-Ping, 2007. "Ranking market efficiency for stock markets: A nonlinear perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 445-454.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guglielmo Maria Caporale & Luis A. Gil-Alana & Alex Plastun & Ahniia Havrylina, 2022. "Persistence in the Passion Investment Market," CESifo Working Paper Series 9586, CESifo.
    2. Aloosh, Arash & Choi, Hyung-Eun & Ouzan, Samuel, 2023. "The tail wagging the dog: How do meme stocks affect market efficiency?," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 68-78.
    3. Shimeng Shi & Jia Zhai & Yingying Wu, 2024. "Informational inefficiency on bitcoin futures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(6), pages 642-667, April.
    4. Xie, Jun & Fang, Yuying & Gao, Bin & Tan, Chunzhi, 2023. "Availability heuristic and expected returns," Finance Research Letters, Elsevier, vol. 51(C).
    5. Emmanuel Joel Aikins Abakah & Aviral Kumar Tiwari & Emmanuel Kwesi Arthur & Luis Alberiko Gil-Alana, 2023. "The influence of economic policy uncertainty shocks on art market," Applied Economics, Taylor & Francis Journals, vol. 55(29), pages 3404-3421, June.
    6. Plastun, Alex & Bouri, Elie & Havrylina, Ahniia & Ji, Qiang, 2022. "Calendar anomalies in passion investments: Price patterns and profit opportunities," Research in International Business and Finance, Elsevier, vol. 61(C).

    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. 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.
    2. 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.
    3. Assaf, Ata, 2018. "Testing for bubbles in the art markets: An empirical investigation," Economic Modelling, Elsevier, vol. 68(C), pages 340-355.
    4. 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.
    5. Belma Öztürkkal & Aslı Togan-Eğrican, 2020. "Art investment: hedging or safe haven through financial crises," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(3), pages 481-529, September.
    6. Binge, Laurie H. & Boshoff, Willem H., 2021. "Measuring alternative asset prices in an emerging market: The case of the South African art market," Emerging Markets Review, Elsevier, vol. 47(C).
    7. Marinelli, Nicoletta & Palomba, Giulio, 2011. "A model for pricing Italian Contemporary Art paintings at auction," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 212-224, May.
    8. 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.
    9. William N. Goetzmann & Luc Renneboog & Christophe Spaenjers, 2011. "Art and Money," American Economic Review, American Economic Association, vol. 101(3), pages 222-226, May.
    10. Penasse, J.N.G. & Renneboog, L.D.R., 2014. "Bubbles and Trading Frenzies : Evidence from the Art Market," Other publications TiSEM bf0d8984-df7f-4f02-afc7-3, Tilburg University, School of Economics and Management.
    11. Victor Ginsburgh & Jianping Mei & Michael Moses, 2006. "On the computation of art indices in art," ULB Institutional Repository 2013/7290, ULB -- Universite Libre de Bruxelles.
    12. 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.
    13. Vecco, Marilena & Zanola, Roberto, 2017. "Don’t let the easy be the enemy of the good. Returns from art investments: What is wrong with it?," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 120-129.
    14. Spaenjers, Christophe & Goetzmann, William N. & Mamonova, Elena, 2015. "The economics of aesthetics and record prices for art since 1701," Explorations in Economic History, Elsevier, vol. 57(C), pages 79-94.
    15. William N. Goetzmann & Luc Renneboog & Christophe Spaenjers, 2011. "Art and Money," American Economic Review, American Economic Association, vol. 101(3), pages 222-226, May.
    16. Kraeussl, Roman & Logher, Robin, 2010. "Emerging art markets," Emerging Markets Review, Elsevier, vol. 11(4), pages 301-318, December.
    17. Xin Li & Chi-Wei Su & Meng Qin & Fahai Zhao, 2020. "Testing for Bubbles in the Chinese Art Market," SAGE Open, , vol. 10(1), pages 21582440199, January.
    18. Fedderke, Johannes W. & Chen, Tinghua, 2023. "Generalizing the “Masterpiece Effect” in fine art pricing: Quantile Hedonic regression results for the South African fine art market, 2009–2021," Economic Modelling, Elsevier, vol. 124(C).
    19. 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.
    20. David, Géraldine & Oosterlinck, Kim & Szafarz, Ariane, 2013. "Art market inefficiency," Economics Letters, Elsevier, vol. 121(1), pages 23-25.

    More about this item

    Keywords

    Art markets; Efficient index; Generalized spectral measure; Hurst exponent; Approximate entropy;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:eee:intfin:v:71:y:2021:i:c:s1042443121000317. 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/intfin .

    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.