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On the modeling of financial time series
Kutergin, Aleksey; Filimonov, Vladimir - In: Financial econometrics and empirical market microstructure, (pp. 131-151). 2015
Persistent link: https://www.econbiz.de/10011326692
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Parameter estimation and forecasting for multiplicative lognormal cascades
Leövey, Andrés E.; Lux, Thomas - 2011
Generalized Method of Moments (GMM) estimation procedure to cope with the documented difficulties of previous methodologies. We … foreign exchange markets. -- Random Lognormal cascades ; GMM estimation ; best linear forecasting ; volatility of financial …
Persistent link: https://www.econbiz.de/10009389845
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Determinism and non-linear behaviour of log-return and conditional volatility : empirical analysis for 26 stock markets
Dhifaoui, Zouhaier - In: South Asian journal of macroeconomics and public finance 11 (2022) 1, pp. 69-94
Persistent link: https://www.econbiz.de/10013256597
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Nonparametric predictive regressions for stock return brediction
Cheng, Tingting; Gao, Jiti; Linton, Oliver - 2019
Persistent link: https://www.econbiz.de/10012698837
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Development of stock market trend prediction system using multiple regression
Asghar, Muhammad Zubair; Rahman, Fazal; Kundi, Fazal Masud - In: Computational and mathematical organization theory 25 (2019) 3, pp. 271-301
Persistent link: https://www.econbiz.de/10012098937
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Multi-step non- and semi-parametric predictive regressions for short and long horizon stock return prediction
Cheng, Tingting; Gao, Jiti; Linton, Oliver - 2018
nonstationary. We also establish the estimation theory and asymptotic properties for these models in the short horizon and long …
Persistent link: https://www.econbiz.de/10011775136
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Multi-step non- and semi-parametric predictive regressions for short and long horizon stock return prediction
Cheng, Tingting; Gao, Jiti; Linton, Oliver - 2017
Persistent link: https://www.econbiz.de/10011782226
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A simple nonlinear predictive model for stock returns
Cai, Biqing; Gao, Jiti - 2017
Persistent link: https://www.econbiz.de/10011782256
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Nonparametric predictive regressions for stock return prediction
Cheng, Tingting; Gao, Jiti; Linton, Oliver - 2019
Persistent link: https://www.econbiz.de/10012592220
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DCC- and DECO-HEAVY : multivariate GARCH models based on realized variances and correlations
Bauwens, Luc; Xu, Yongdeng - In: International journal of forecasting 39 (2023) 2, pp. 938-955
Persistent link: https://www.econbiz.de/10014465168