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.
References listed on IDEAS
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- repec:eee:ecosta:v:5:y:2018:i:c:p:67-82 is not listed on IDEAS
- Theodore Panagiotidis & Thanasis Stengos & Orestis Vravosinos, 2018. "On the determinants of bitcoin returns: a LASSO approach," Working Paper series 18-14, Rimini Centre for Economic Analysis.
- 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
Keywordsfinancial market integration; stock markets; state space model; Kalman filter; non-synchronous data; market returns forecasting; autocorrelation; global stochastic trends; Japan; UK; United Kingdom; USA; United States.;
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
- F65 - International Economics - - Economic Impacts of Globalization - - - Finance
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
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