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Experience-based corporate corruption and stock market volatility: Evidence from emerging markets

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  • Lau, Chi Keung Marco
  • Demir, Ender
  • Bilgin, Mehmet Huseyin

Abstract

This paper reassesses how “experience-based” corporate corruption affects stock market volatility in 14 emerging markets. We match the World Bank enterprise-level data on bribes with a unique cross-country macroeconomics dataset obtained from the World Bank development indicators. It is found that wider coverage of “realized” corporate corruption in the emerging markets investigated reduces the stock market volatility, attributed to decrease in uncertainty about government policy with regard to the business environment, as implied by the general equilibrium model of Pastor and Veronesi (2012). Overall, our results suggest that stock price volatility decreases as the uncertainty about government policy becomes more predictable, which is consistent with the testable hypotheses of Pastor and Veronesi (2012).

Suggested Citation

  • Lau, Chi Keung Marco & Demir, Ender & Bilgin, Mehmet Huseyin, 2013. "Experience-based corporate corruption and stock market volatility: Evidence from emerging markets," Emerging Markets Review, Elsevier, vol. 17(C), pages 1-13.
    • Handle: RePEc:eee:ememar:v:17:y:2013:i:c:p:1-13
    DOI: 10.1016/j.ememar.2013.07.002
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    More about this item

    Keywords

    Stock market volatility; Corruption; Emerging markets; Uncertainty;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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