A multidimensional classification of market anomalies: Evidence from 76 price indices

John R. Doyle and Catherine Huirong Chen

Journal of International Financial Markets, Institutions and Money, 2012, vol. 22, issue 5, 1237-1257

Abstract: This paper makes the first attempt to present explicit empirical evidence that market inefficiency can be multi-dimensional. Testing the Efficient Market Hypothesis (EMH) over 76 stock indices using 17 best established indicators (e.g. runs test), we show that most indices exhibit some type(s) of anomaly and that indicators differ from each other in terms of statistical power and/or the type of anomaly detected. A principal components analysis (PCA) demonstrates that indicators group along orthogonal dimensions, and hence a market can exhibit short-term memory, long-term memory and/or calendar effects, which are all distinct sources of possible inefficiency. This research presents statistical evidence on the extent and nature of market inefficiency, offers possible explanations for conflicting previous findings, and provides new insights into studying market efficiency.

Keywords: Market efficiency; EMH; Stock indices; Statistical tests; Multi-dimensional (search for similar items in EconPapers)
JEL-codes: G14 G15 (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:intfin:v:22:y:2012:i:5:p:1237-1257

DOI: 10.1016/j.intfin.2012.07.003

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