Extracting global stochastic trend from non-synchronous data
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- Anatoly A. Peresetsky & Ruslan I. Yakubov, 2017.
"Autocorrelation in an unobservable global trend: does it help to forecast market returns?,"
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- Peresetsky, Anatoly & Yakubov, Ruslan, 2015. "Autocorrelation in an unobservable global trend: Does it help to forecast market returns?," MPRA Paper 64579, University Library of Munich, Germany.
- repec:eee:ecosta:v:5:y:2018:i:c:p:67-82 is not listed on IDEAS
- Durdyev, Ruslan & Peresetsky, Anatoly, 2014. "Autocorrelation in the global stochastic trend," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 35(3), pages 39-58.
- Grigoryeva, Lyudmila & Ortega, Juan-Pablo & Peresetsky, Anatoly, 2018.
"Volatility forecasting using global stochastic financial trends extracted from non-synchronous data,"
Econometrics and Statistics,
Elsevier, vol. 5(C), pages 67-82.
- Grigoryeva, Lyudmila & Ortega, Juan-Pablo & Peresetsky, Anatoly, 2015. "Volatility forecasting using global stochastic financial trends extracted from non-synchronous data," MPRA Paper 64503, University Library of Munich, Germany.
More about this item
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
- F65 - International Economics - - Economic Impacts of Globalization - - - Finance
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