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Modelling volatility and forecasting of exchange rate of British pound sterling and Indian rupee
Gupta, Sanjeev; Kashyap, Sachin - In: Journal of modelling in management 11 (2016) 2, pp. 389-404
Persistent link: https://www.econbiz.de/10011529491
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Forex exchange rate forecasting using deep recurrent neural networks
Dautel, Alexander Jakob; Härdle, Wolfgang; Lessmann, Stefan - In: Digital finance : smart data analytics, investment … 2 (2020) 1/2, pp. 69-96
Persistent link: https://www.econbiz.de/10012284950
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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
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Forecasting volatility with support vector machine-based GARCH model
Shiyi, Chen; Härdle, Wolfgang; Jeong, Kiho - In: Journal of forecasting 29 (2010) 4, pp. 406-433
Persistent link: https://www.econbiz.de/10003989791
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Support Vector Regression Based GARCH Model with Application to Forecasting Volatility of Financial Returns
Chen, Shiyi - 2017
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 …
Persistent link: https://www.econbiz.de/10012966267
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Bitcoin at high frequency
Catania, Leopoldo; Sandholdt, Mads - In: Journal of risk and financial management : JRFM 12 (2019) 1/36, pp. 1-20
-daily seasonality pattern, and an abnormal trade- and volatility intensity at Thursdays and Fridays. We find no predictability for … Bitcoin returns is also found to be time-varying. We also study the behaviour of the realized volatility of Bitcoin. We … document a remarkable high percentage of jumps above 80% . We also find that realized volatility exhibits: (i) long memory; (ii …
Persistent link: https://www.econbiz.de/10012022322
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A neuro-walvet model for the short-term forecasting of high-frequency time series of stock returns
Ortega, Luis F.; Khashanah, Khaldoun - In: Journal of forecasting 33 (2014) 2, pp. 134-146
Persistent link: https://www.econbiz.de/10010424852
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Dynamic and context-dependent stock price prediction using attention modules and news sentiment
Königstein, Nicole - In: Digital finance : smart data analytics, investment … 5 (2023) 3/4, pp. 449-481
Persistent link: https://www.econbiz.de/10014451865
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Prediction of stock index of two-scale long short-term memory model based on multiscale nonlinear integration
Tang, Decai; Pan, Zhiwei; Bethel, Brandon J. - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 26 (2022) 5, pp. 723-735
Persistent link: https://www.econbiz.de/10013554949
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Short-term forecasting ability of hybrid models for BRIC currencies
Sreeram, Latha; Sayed, Samie Ahmed - In: Global business review 25 (2024) 3, pp. 585-605
Persistent link: https://www.econbiz.de/10014634305