The Day-of-the-Week Effect on Stock-Market Volatility and Return: Evidence from Emerging Markets (in English)
AbstractThis study investigates day-of-the-week (DOW) anomalies in the stock markets of twenty emerging economies. The authors use a modified exponential generalized autoregressive conditional heteroskedasticity in-mean (EGARCH-M) modeling strategy that allows for the simultaneous examination of DOW effects on market return and variability. The effects on both are limited in the authors´ sample. To summarize, DOW effects are present in market returns for only three countries, in market volatility for only five countries, and they are present in both for only one country, when the estimates are evaluated at the 1 percent significance level. Despite this, at lower levels of significance the common qualitative patterns in the estimates are extracted such that the higher returns are concentrated around Fridays, whereas volatility is highest on Mondays and lowest on Tuesdays and Fridays.
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Bibliographic InfoArticle provided by Charles University Prague, Faculty of Social Sciences in its journal Finance a uver - Czech Journal of Economics and Finance.
Volume (Year): 56 (2006)
Issue (Month): 5-6 (May)
day-of-the-week effect; EGARCH-M; emerging-market economies; volatility;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
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