Narrow search
Showing 1 - 10 of 29,375
Cover Image
The contribution of intraday jumps to forecasting the density of returns
Chorro, Christophe; Ielpo, Florian; Sévi, Benoît - In: Journal of economic dynamics & control 113 (2020), pp. 1-24
Persistent link: https://www.econbiz.de/10012502523
Cover Image
Dynamics of financial returns densities : a functional approach applied to the Bovespa intraday index
Horta, Eduardo; Ziegelmann, Flávio A. - In: International journal of forecasting 34 (2018) 1, pp. 75-88
Persistent link: https://www.econbiz.de/10012030843
Cover Image
Predicting extreme daily regime shifts in financial time series exchange/Johannesburg stock exchange : all share index
Makatjane, Katleho; Moroke, Ntebogang Dinah - In: International Journal of Financial Studies : open … 9 (2021) 2, pp. 1-18
During the past decades, seasonal autoregressive integrated moving average (SARIMA) had become one of a prevalent linear models in time series and forecasting. Empirical research advocated that forecasting with non-linear models can be an encouraging alternative to traditional linear models....
Persistent link: https://www.econbiz.de/10012508859
Cover Image
How informative is high-frequency data for tail risk estimation and forecasting? : an intrinsic time perspectice
Dimitriadis, Timo; Halbleib, Roxana - 2019
This paper proposes a novel and simple approach to compute daily Value at Risk (VaR) and Expected Shortfall (ES) directly from high-frequency data. It assumes that financial logarithm prices are subordinated unifractal processes in the intrinsic time, which stochastically transforms the clock...
Persistent link: https://www.econbiz.de/10012317619
Cover Image
Volatility analysis for the GARCH-Itô-Jumps model based on high-frequency and low-frequency financial data
Fu, Jin-Yu; Lin, Jin-Guan; Hao, Hong-Xia - In: International journal of forecasting 39 (2023) 4, pp. 1698-1712
Persistent link: https://www.econbiz.de/10014465345
Cover Image
Common cycles and common trends in the stock and oil markets : evidence from more than 150 years of data
Balcilar, Mehmet; Gupta, Rangan; Wohar, Mark E. - In: Energy economics 61 (2017), pp. 72-86
Persistent link: https://www.econbiz.de/10011737672
Cover Image
Why does return predictability concentrate in bad times?
Cujean, Julien; Hasler, Michael - 2017
We build an equilibrium model to explain why stock return predictability concentrates in bad times. The key feature is that investors use different forecasting models, and hence assess uncertainty differently. As economic conditions deteriorate, uncertainty rises and investors' opinions...
Persistent link: https://www.econbiz.de/10011721618
Cover Image
Why does return predictability concentrate in bad times?
Cujean, Julien; Hasler, Michael - In: The journal of finance : the journal of the American … 72 (2017) 6, pp. 2717-2758
Persistent link: https://www.econbiz.de/10012160151
Cover Image
Value at risk (VaR) analysis for fat tails and long memory in returns
Günay, Samet - In: Eurasian economic review : a journal in applied … 7 (2017) 2, pp. 215-230
Persistent link: https://www.econbiz.de/10011684346
Cover Image
Support vector regression based GARCH model with application to forecasting volatility of financial returns
Chen, Shiyi (contributor); Jeong, Kiho (contributor);  … - 2008
financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH … to forecast financial markets volatility. The real data in this study uses British Pound-US Dollar (GBP) daily exchange … examined to the free parameters. Keywords: recurrent support vector regression ; GARCH model ; volatility forecasting …
Persistent link: https://www.econbiz.de/10003636113