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International Journal of Management Science and Engineering Management Volume 7, 2012 - Issue 1
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Original Articles

Ranking efficiency for twenty-six emerging stock markets and financial crisis: Evidence from the shannon entropy approach

Walid Mensi Department of finance, El Manar University, B.P. 248, Tunis Cedex, C.P. 2092, TunisiaCorrespondence[email protected]
Pages 53-63 | Received 05 Nov 2011, Accepted 29 Jan 2012, Published online: 16 May 2013

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Mahsa Aghashahi & Shahrooz Bamdad. (2023) Analysis of different artificial neural networks for Bitcoin price prediction. International Journal of Management Science and Engineering Management 18:2, pages 126-133.
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Oprean Camelia, Tănăsescu Cristina & Bucur Amelia. (2017) A new proposal for efficiency quantification of capital markets in the context of complex non-linear dynamics and chaos. Economic Research-Ekonomska Istraživanja 30:1, pages 1669-1692.
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Articles from other publishers (4)

Subhamitra Patra & Gourishankar S. Hiremath. (2022) An Entropy Approach to Measure the Dynamic Stock Market Efficiency. Journal of Quantitative Economics 20:2, pages 337-377.
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野 师. (2022) Stock Industry Analysis Based on Visibility Graph. Advances in Applied Mathematics 11:11, pages 8008-8017.
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Walid Mensi, Chaker Aloui, Manel Hamdi & Duc Khuong Nguyen. (2012) Crude oil market efficiency: An empirical investigation via the Shannon entropy. Économie internationale n° 129:1, pages 119-137.
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Walid Mensi, Chaker Aloui, Manel Hamdi & Duc Khuong Nguyen. (2012) Crude oil market efficiency: An empirical investigation via the Shannon entropy. International Economics 129, pages 119-137.
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