This article examines the short- and long-run linkages among art market indexes between 1998 and 2016 using cointegration procedures, the Granger noncausality test and the Error Correction Model. These art indexes are examined by category: global, art method, time, and currency/country. The results indicate that there are a few causal linkages between art market indexes, notably that there is feedback between a few markets. These moderate causal links between art market indexes would indicate that there are many opportunities for diversification for practitioners, investors and collectors. (C) 2019 Board of Trustees of the University of Illinois. Published by Elsevier Inc. All rights reserved.
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Nanjing Audit Univ, Finance Sch, Nanjing, Peoples R ChinaNanjing Audit Univ, Finance Sch, Nanjing, Peoples R China
Wang, Tiantian
Zhang, Dayong
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Southwestern Univ Finance & Econ, Res Inst Econ & Management, Chengdu, Peoples R ChinaNanjing Audit Univ, Finance Sch, Nanjing, Peoples R China
Zhang, Dayong
Ji, Qiang
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Chinese Acad Sci, Ctr Energy & Environm Policy Res, Inst Sci & Dev, Beijing, Peoples R China
Univ Chinese Acad Sci, Sch Publ Policy & Manag Ement, Beijing, Peoples R ChinaNanjing Audit Univ, Finance Sch, Nanjing, Peoples R China
Ji, Qiang
Shi, Xunpeng
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Univ Technol Sydney, Australia China Relat Inst, Ultimo, NSW 2007, Australia
Hubei Univ Econ, Ctr Hubei Cooperat Innovat Emiss Trading Syst, Wuhan, Hubei, Peoples R China
Hubei Univ Econ, Sch Low Carbon Econ, Wuhan, Hubei, Peoples R ChinaNanjing Audit Univ, Finance Sch, Nanjing, Peoples R China