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Public Information Arrival and Emerging Markets Returns and Volatility

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  • Ali M. Kutan

    (Southern Illinois University-Edwardsville, U.S.A.)

  • Tansu Aksoy

    (Southern Illinois University-Edwardsville, U.S.A.)

Abstract

Recent findings have heightened the debate about the usefulness of public information in asset markets. Using daily composite and sector index returns, this paper examines the role of public information arrival in an emerging, high-inflation economy like Turkey. The findings reveal that real GDP and industrial production announcements have the most important impact on stock returns. Regarding inflation, nominal stock returns increase in response to unfavorable inflation announcements, but only for the financials sector and partially. Market volatility is more sensitive to news about real GNP, balance of trade, tourism and construction. Implications of the findings for market participants are discussed.

Suggested Citation

  • Ali M. Kutan & Tansu Aksoy, 2004. "Public Information Arrival and Emerging Markets Returns and Volatility," Multinational Finance Journal, Multinational Finance Journal, vol. 8(3-4), pages 227-245, september.
    • Handle: RePEc:mfj:journl:v:8:y:2004:i:3-4:p:227-245
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    References listed on IDEAS

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    1. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-229, March.
    2. Choudhry, Taufiq, 2001. "Inflation and rates of return on stocks: evidence from high inflation countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 11(1), pages 75-96, March.
    3. Takatoshi Ito & Richard K. Lyons & Michael T. Melvin, 1998. "Is There Private Information in the FX Market? The Tokyo Experiment," Journal of Finance, American Finance Association, vol. 53(3), pages 1111-1130, June.
    4. T. C. Mills & C. Siriopoulos & R. N. Markellos & D. Harizanis, 2000. "Seasonality in the Athens stock exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 10(2), pages 137-142.
    5. Edmonds, Radcliffe Jr. & Kutan, Ali M., 2002. "Is public information really irrelevant in explaining asset returns?," Economics Letters, Elsevier, vol. 76(2), pages 223-229, July.
    6. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    7. Riza Demirer & M. Baha Karan, 2002. "An Investigation of the Day-of-the-Week Effect on Stock Returns in Turkey," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 38(6), pages 47-77, December.
    8. Melvin, Michael & Yin, Xixi, 2000. "Public Information Arrival, Exchange Rate Volatility, and Quote Frequency," Economic Journal, Royal Economic Society, vol. 110(465), pages 644-661, July.
    9. Jones, Charles M. & Kaul, Gautam & Lipson, Marc L., 1994. "Information, trading, and volatility," Journal of Financial Economics, Elsevier, vol. 36(1), pages 127-154, August.
    10. Kate Phylaktis & Manolis G Kavussanos & Gikas Manalis, 1996. "Stock prices and the flow of information in the Athens Stock Exchange," European Financial Management, European Financial Management Association, vol. 2(1), pages 113-126, March.
    11. Kaen, Fred R & Rosenman, Robert E, 1986. "Predictable Behavior in Financial Markets: Some Evidence in Support ofHeiner's Hypothesis," American Economic Review, American Economic Association, vol. 76(1), pages 212-220, March.
    12. Lamoureux, Christopher G & Lastrapes, William D, 1994. "Endogenous Trading Volume and Momentum in Stock-Return Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 253-260, April.
    13. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    14. Heiner, Ronald A, 1983. "The Origin of Predictable Behavior," American Economic Review, American Economic Association, vol. 73(4), pages 560-595, September.
    15. Papapetrou, Evangelia, 2001. "Oil price shocks, stock market, economic activity and employment in Greece," Energy Economics, Elsevier, vol. 23(5), pages 511-532, September.
    16. Apergis, Nicholas & Eleftheriou, Sophia, 2002. "Interest rates, inflation, and stock prices: the case of the Athens Stock Exchange," Journal of Policy Modeling, Elsevier, vol. 24(3), pages 231-236, June.
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    Cited by:

    1. Sui, Meng & Rengifo, Erick W. & Court, Eduardo, 2021. "Gold, inflation and exchange rate in dollarized economies – A comparative study of Turkey, Peru and the United States," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 82-99.
    2. Manolis G. Kavussanos & Ilias D. Visvikis, 2011. "The Predictability of Non-Overlapping Forecasts: Evidence from a New Market," Multinational Finance Journal, Multinational Finance Journal, vol. 15(1-2), pages 125-156, March - J.

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    More about this item

    Keywords

    emerging markets; GARCH models; stock market volatility;
    All these keywords.

    JEL classification:

    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • F3 - International Economics - - International Finance
    • G2 - Financial Economics - - Financial Institutions and Services

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