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Title: The efficiency of the art market: Evidence from variance ratio tests, linear and nonlinear fractional integration approaches
Authors: Aye, Goodness C.
Gil-Alana, Luis A.
Gupta, Rangan
Wohar, Mark E.
Keywords: Art market
Market efficiency
Variance ratio tests
Random walk
Issue Date: 2017
Publisher: © Elsevier
Citation: AYE, G.C. ...et al., 2017. The efficiency of the art market: evidence from variance ratio tests, linear and nonlinear fractional integration approaches. International Review of Economics and Finance, 51, pp.283-294.
Abstract: This paper investigates the weak-form efficiency hypothesis for the art market. We consider 15 art price indices namely: Contemporary, Drawings, France, Global index (Euro), Global index (USD), Modern art, Nineteenth century, Old Masters, Paintings, Photographies, Postwar, Prints, Sculptures, UK and US. We use quarterly data from 1998:1 to 2015: 1. We employ both standard and non-parametric single and joint variance ratio tests while accounting for small sample bias through the use of the wild bootstrapping. We show that the majority of the art markets are inefficient with the exception of the Old Masters that consistently prove efficient under both individual and joint variance ratio tests. To a lesser extent Contemporary, US and UK markets are also efficient. However, confronting the data with both linear and nonlinear long memory models as robustness check, we observe that Paints, Prints, Photographies, Nineteenth century, Modern Art, US, France and Drawings have unit roots and are therefore efficient. Others such as Post war Sculpture, and Contemporary have values of the fractional parameter d significantly different from 0 to 1 and they may be considered efficient as well in a number of cases. The US and Contemporary art markets appear to be efficient irrespective of the method used.
Description: This paper is in closed access.
Version: Published
DOI: 10.1016/j.iref.2017.06.003
URI: https://dspace.lboro.ac.uk/2134/27393
Publisher Link: https://doi.org/10.1016/j.iref.2017.06.003
ISSN: 1059-0560
Appears in Collections:Closed Access (Business)

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