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Testing the Efficiency of the Art Market Using Quantile†Based Unit Root Tests with Sharp and Smooth Breaks

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  • Goodness C. Aye
  • Tsang Yao Chang
  • Wen†Yi Chen
  • Rangan Gupta
  • Mark Wohar

Abstract

This paper examines the efficiency market hypothesis for the art market using a novel nonlinear quantile†based unit root test while accounting for sharp shifts and smooth breaks in the data. We use quarterly data which covers 1998:1 and 2015:1. Our analysis is based on 15 art price indices: Contemporary, Drawings, France, Global index (Euro), Global index (USD), Modern art, Nineteenth century, Old Masters, Paintings, Photographies, Postwar, Prints, Sculptures, UK and US. We find evidence of structural shifts and nonlinearity in the art indices. We cannot reject the null of unit root and/or stationarity in the art series based on the conventional linear unit root tests and quantile†based test that did not account for structural breaks. However, when we use the same methods but accounting for sharp shifts and smooth breaks, we are able to reject the unit root null for each of the art indices. Further we find evidence of asymmetric behaviour in some of the indices: two global indices, Paintings, Prints, Sculptures, Modern art and Postwar, where unit root exist at some quantiles but not at others. Overall, our result suggest that the art market is inefficient. We provide some practical and policy implications of our findings.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:manchs:v:86:y:2018:i:4:p:488-511
    DOI: 10.1111/manc.12192
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    Cited by:

    1. 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).
    2. Aviral Kumar Tiwari & Rangan Gupta & Juncal Cunado & Xin Sheng, 2020. "Testing the white noise hypothesis in high-frequency housing returns of the United States," Economics and Business Letters, Oviedo University Press, vol. 9(3), pages 178-188.
    3. Tiwari, Aviral Kumar & Aye, Goodness C. & Gupta, Rangan, 2019. "Stock market efficiency analysis using long spans of Data: A multifractal detrended fluctuation approach," Finance Research Letters, Elsevier, vol. 28(C), pages 398-411.
    4. 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).
    5. Guglielmo Maria Caporale & Luis A. Gil-Alana & Alex Plastun & Ahniia Havrylina, 2022. "Persistence in the Passion Investment Market," CESifo Working Paper Series 9586, CESifo.

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