Testing for market efficiency in gambling markets when errors are non-normal heteroskedastic: an application of the wild bootstrap

Christos Ioannidis; D Peel

doi:10.1016/j.econlet.2004.06.025

Testing for market efficiency in gambling markets when errors are non-normal heteroskedastic: an application of the wild bootstrap

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Abstract

By employing the wild bootstrap we calculate the ‘correct’ size of the relevant test statistics for the test of the null hypothesis of efficiency in betting markets. Our findings are that the overall conclusion of the rejection of the null hypothesis is still valid.

Original language	English
Pages (from-to)	221-226
Number of pages	6
Journal	Economics Letters
Volume	87
Issue number	2
DOIs	https://doi.org/10.1016/j.econlet.2004.06.025
Publication status	Published - 1 May 2005

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title = "Testing for market efficiency in gambling markets when errors are non-normal heteroskedastic: an application of the wild bootstrap",

abstract = "By employing the wild bootstrap we calculate the {\textquoteleft}correct{\textquoteright} size of the relevant test statistics for the test of the null hypothesis of efficiency in betting markets. Our findings are that the overall conclusion of the rejection of the null hypothesis is still valid.",

author = "Christos Ioannidis and D Peel",

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doi = "10.1016/j.econlet.2004.06.025",

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T1 - Testing for market efficiency in gambling markets when errors are non-normal heteroskedastic: an application of the wild bootstrap

AU - Ioannidis, Christos

AU - Peel, D

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N2 - By employing the wild bootstrap we calculate the ‘correct’ size of the relevant test statistics for the test of the null hypothesis of efficiency in betting markets. Our findings are that the overall conclusion of the rejection of the null hypothesis is still valid.

AB - By employing the wild bootstrap we calculate the ‘correct’ size of the relevant test statistics for the test of the null hypothesis of efficiency in betting markets. Our findings are that the overall conclusion of the rejection of the null hypothesis is still valid.

UR - https://www.sciencedirect.com/science/article/pii/S0165176505000108

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DO - 10.1016/j.econlet.2004.06.025

M3 - Article

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SP - 221

EP - 226

JO - Economics Letters

JF - Economics Letters

IS - 2

ER -

Testing for market efficiency in gambling markets when errors are non-normal heteroskedastic: an application of the wild bootstrap

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