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Exploring Presence of Long Memory in Emerging and Developed Stock Markets

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dc.contributor.author Guhathakurta, Kousik
dc.contributor.author Bhattacharya, Sharad Nath
dc.contributor.author Bhattacharya, Mousumi
dc.date.accessioned 2016-05-27T11:59:13Z
dc.date.available 2016-05-27T11:59:13Z
dc.date.issued 2012
dc.identifier.uri http://hdl.handle.net/2259/756
dc.description 1 Faculty - Finance, Accounting and Control, Indian Institute of Management, Kozhikode 2 Assistant Professor, Army Institute of Management 3 Assistant Professor, Army Institute of Management en_US
dc.description.abstract According to the market efficiency hypothesis in its weak form, asset prices incorporate all relevant information, rendering asset returns unpredictable. The most considerable economical implication of existence of long memory is the contradiction of the weak-form of market efficiency (Fama, 1970) by allowing investors and portfolio managers to make prediction and to construct speculative strategies. The price of an asset determined in an efficient market should follow a martingale process in which each price change is unaffected by its predecessor and has no memory. When return series exhibit long memory, they display significant autocorrelation between distant observations. Therefore, the series realizations are not independent over time and past returns can help predict futures returns, thus violating the market efficiency hypothesis. Exploring long memory property is appealing for derivative market participants, risk managers and asset allocation decisions makers, whose interest is to reasonably forecast stock market movements. Generally markets are classified as developed or emerging on the basis of their level of efficiency. Since efficiency levels of developed and emerging stock markets are different, long memory properties displayed by them should be different. Motivated by this we investigate long-memory properties in ten stock exchanges from developed markets (USA, UK, Germany, Australia, New Zealand, Hong Kong, France, Netherlands, Japan and Singapore) and ten from emerging markets (Russia, Hungary, Brazil, Chile, Mexico, Malaysia, Korea, Taiwan, China, and India) using daily return, absolute return and squared return. We compute Hurst exponent, Lo’s statistic, semi parametric GPH statistic to test the presence of long-memory in asset returns which would provide evidence against the weak form of market efficiency. We look into developed markets with emerging markets to determine if the returns-generating processes and presence or absence of long memory depends on the degree of market development. en_US
dc.language.iso en en_US
dc.publisher Indian Institute of Management Kozhikode en_US
dc.relation.ispartofseries ;IIMK/WPS/107/FIN/2012/10
dc.subject Market efficiency en_US
dc.subject Emerging Market en_US
dc.subject Developed Market en_US
dc.subject Long Memory en_US
dc.subject Hurst exponent en_US
dc.subject Lo’s statistic en_US
dc.subject semi parametric GPH statistic en_US
dc.title Exploring Presence of Long Memory in Emerging and Developed Stock Markets en_US
dc.type Working Paper en_US


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