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Short-Term Reaction of BİST Indexes to Shocks: A Macro Analysis

Author

Listed:
  • Ozgul, Ali Ulvi

    (independent researcher)

  • Kahraman, Ibrahim Korkmaz

    (Pamukkale University)

Abstract

This research, which takes stock market index data as input in contrast to De Bondt and Thaler’s (1985) classical approach for testing overreaction hypothesis on a micro scale via individual stocks, is aimed at analyzing reactions of the market in aggregate and portfolio groups, which are represented by indexes. The shock-filtering procedure is based on 50-day window, encompassing observations from 60 days to 11 days prior to an observation as suggested by Lasfer et al. (2003) while volatility has been estimated through Exponentially Weighted Moving Average (EWMA) method. Indexes resembling each other and significantly differing from others in terms of their reaction on the day of shocks, which are detected by a different threshold have been determined. The analysis implemented separately for two subperiods outputs findings which support the validity of underreaction on all indexes except XUSIN within 2000-2008, in line with the reference researches on indexes. This result is, however valid only for positive shocks. The cautious behavior against good news disappears in the second subperiod (2009-2018). This variation can be regarded as a sign of our market’s progress in terms of information efficiency. Putting forth no significant over or underreaction of indexes to shocks, this paper shows results in compatible with the Efficient Market Hypothesis (EMH) which asserts just and timely reactions to shocks.

Suggested Citation

  • Ozgul, Ali Ulvi & Kahraman, Ibrahim Korkmaz, 2019. "Short-Term Reaction of BİST Indexes to Shocks: A Macro Analysis," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 10(1), pages 55-75, January.
  • Handle: RePEc:ris:buecrj:0377
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    More about this item

    Keywords

    Behavioral Finance; Overreaction Hypothesis; Underreaction Hypothesis; Efficient Market Hypothesis; EWMA Filtering;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G40 - Financial Economics - - Behavioral Finance - - - General

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