Investigation of the consequences of ignoring daily data non-synchronism in cross-market linkages: BRIC and developed countries
AbstractThe comparison was performed between Granger causality test results, based on the equations in classic and non-synchronism corrected forms applying the pairs of stock market indices with daily data non-synchronism problem. In contrast to the non-synchronism corrected form of the equation, the results of Granger causality test performed on classic form of the equation demonstrate the existence of bias, which induces underestimation/overestimation of causality from earlier/later closing markets.
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Bibliographic InfoArticle provided by Publishing House "SINERGIA PRESS" in its journal Applied Econometrics.
Volume (Year): 26 (2012)
Issue (Month): 2 ()
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Web page: http://appliedeconometrics.cemi.rssi.ru/
interdependence; cross-market linkages; spillover; non-synchronism; synchronisation; asynchronism; comovement; Granger causality; timeline; contemporaneous causality; instantaneous causality.;
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
- F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
- F39 - International Economics - - International Finance - - - Other
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