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"Déjà vol" : predictive regressions for aggregate stock market volatility using macroeconomic variables

Paye, Bradley S. - In: Journal of financial economics 106 (2012) 3, pp. 527-546

Persistent link: https://www.econbiz.de/10009710165

Does macroeconomics help in predicting stock markets volatility comovements? : a nonlinear approach

Bucci, Andrea; Palomba, Giulio; Rossi, Eduardo - 2019

Persistent link: https://www.econbiz.de/10012154493

Should stock market return forecasts be conditioned on politics?

Powell, John Gregory; Qian, Meifen; Shi, Jing; Zhu, Qiaoqiao - In: Australian journal of management 40 (2015) 4, pp. 672-700

Persistent link: https://www.econbiz.de/10011479079

Predicting returns on asset markets of a small, open economy and the influence of global risks

Haab, David R.; Nitschka, Thomas - 2017

Persistent link: https://www.econbiz.de/10011794321

Predicting stock market volatility using MODWT with HyFIS and FS.HGD models

Alenezy, Abdullah H.; Mohd Tahir Ismail; Sadam Al-Wadi; … - In: Risks : open access journal 11 (2023) 7, pp. 1-16

We enhance the precision of predicting daily stock market price volatility using the maximum overlapping discrete wavelet transform (MODWT) spectral model and two learning approaches: the heuristic gradient descent (FS.HGD) and hybrid neural fuzzy inference system (HyFIS). The FS.HGD approach...

Persistent link: https://www.econbiz.de/10014335933