Constructing weekly returns based on daily stock market data: A puzzle for empirical research?
AbstractThe weekly returns of equities are commonly used in the empirical research to avoid the non-synchronicity of daily data. An empirical analysis is used to show that the statistical properties of a weekly stock returns series strongly depend on the method used to construct this series. Three types of weekly returns construction are considered: (i) Wednesday-to-Wednesday, (ii) Friday-to-Friday, and (iii) averaging daily observations within the corresponding week. Considerable distinctions are found between these procedures using data from the S&P500 and DAX stock market indices. Differences occurred in the unit-root tests, identified volatility breaks, unconditional correlations, ARMA-GARCH and DCC MV-GARCH models as well. Our findings provide evidence that the method employed for constructing weekly stock returns can have a decisive effect on the outcomes of empirical studies.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 43431.
Date of creation: 26 Dec 2012
Date of revision:
stock markets; weekly returns; statistical properties;
Find related papers by JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-01-12 (All new papers)
- NEP-ECM-2013-01-12 (Econometrics)
- NEP-ETS-2013-01-12 (Econometric Time Series)
- NEP-FMK-2013-01-12 (Financial Markets)
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