Autocorrelation in an unobservable global trend: Does it help to forecast market returns?
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- Anatoly A. Peresetsky & Ruslan I. Yakubov, 2017. "Autocorrelation in an unobservable global trend: does it help to forecast market returns?," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 7(1/2), pages 152-169.
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- 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.
- Григорьев Р.А., 2019. "Одновременные Эффекты Несинхронных Временных Рядов: Проблемы Var-Модели," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 55(2), pages 118-129, апрель.
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- Theodore Panagiotidis & Thanasis Stengos & Orestis Vravosinos, 2018. "The effects of markets, uncertainty and search intensity on bitcoin returns," Working Paper series 18-39, Rimini Centre for Economic Analysis.
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- 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.
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More about this item
Keywords
financial market integration; stock market returns; state space model; Kalman filter; non-synchronous data; market returns forecast;All these keywords.
JEL classification:
- 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
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CFN-2015-05-30 (Corporate Finance)
- NEP-ETS-2015-05-30 (Econometric Time Series)
- NEP-FOR-2015-05-30 (Forecasting)
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