0395886 20240103202925.020130919235959.9 6 s. P cav_un_epca*0395722978-80-87035-76-4470-475JihlavaCollege of Polytechnics Jihlava2013VojáčkováHana capital market efficiency long-range dependence fractal dimension approximate entropy cav_un_auth*0256902 Krištoufek Ladislav Ekonometrie Department of Econometrics E E UTIA-B Department of Econometrics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101230 Vošvrda Miloslav Ekonometrie Department of Econometrics E E UTIA-B Department of Econometrics Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2013/E/kristoufek-measuring capital market efficienci long-term memory fractal dimension and approximate entropy.pdf SVV265504 MŠk CZ cav_un_auth*0293848 GA402/09/0965 GA ČR cav_un_auth*0253176 We utilize long-term memory, fractal dimension and approximate entropy as input variables for the Efficiency Index [Krištoufek&Vošvrda (2013), Physica A 392]. This way, we are able to comment on stock market efficiency after controlling for different types of inefficiencies. Applying the methodology on 38 stock market indices across the world, we find that the most efficient markets are situated in the Eurozone (the Netherlands, France and Germany) and the least efficient ones in the Latin America (Venezuela and Chile). cav_un_auth*0292039 MME 2013. International Conference on Mathematical Methods in Economics 2013 /31./ Jihlava 11.09.2013-13.09.2013 CZ 2014 AH 2 PR RVO:67985556 http://hdl.handle.net/11104/0223789 2013 cav_un_epca*0395722 Proceedings of the 31st International Conference Mathematical Methods in Economics 2013 978-80-87035-76-4 470 475 Jihlava College of Polytechnics Jihlava 2013 Vojáčková Hana 340