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Predictability of short-horizon-returns in the Colombo Stock Exchange

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F09%3A63508463" target="_blank" >RIV/70883521:28120/09:63508463 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictability of short-horizon-returns in the Colombo Stock Exchange

  • Original language description

    This paper examines the predictability of equity index returns for Colombo Stock Exchange (CSE), one of the emerging markets in the world, using the autocorrelations of daily and weekly returns for two major indices; All Share Price Index (ASPI) and Milanka Price Index (MPI). Period for the study varies from ASPI to MPI. ASPI data has been used from June 1997 to February 2009 and period for MPI is from January 2000 to February 2009. Source of data is yahoo web site. ASPI daily returns show statisticallysignificant first-orderautocorrelation of 0.193 and R2 of about 3.7 percent and the respective figures for the MPI are 0.167 and 2.8 percent. Despite the significant autocorrelations, small R2 values show that short-horizon-equity returns can not be predicted based on the past index returns. Hence, CSE is weak form efficient.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Finance a výkonnost firem ve vědě, výuce a praxi ? recenzovaný sborník mezinárodní konference

  • ISBN

    978-80-7318-798-9

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    Univerzita Tomáše Bati ve Zlíně

  • Place of publication

    Zlín

  • Event location

    Zlín

  • Event date

    Apr 23, 2009

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article