Narrow search
Showing 1 - 10 of 13,455
Cover Image
Effects of multiple financial news shocks on tourism demand volatility modelling and forecasting
Zhang, Yuruixian; Choo, Wei Chong; Yuhanis Abdul Aziz; … - In: Journal of risk and financial management : JRFM 15 (2022) 7, pp. 1-47
economics and financial markets, the effects of combining multiple news shocks on the volatility of tourism demand have not yet … GJRGARCH-FFNSs model is the best model for Malaysian tourism demand volatility forecasting accuracy. Furthermore, KLCI and Gold … asymmetry impacts on tourism demand volatility. …
Persistent link: https://www.econbiz.de/10013369139
Cover Image
Support vector regression based GARCH model with application to forecasting volatility of financial returns
Chen, Shiyi (contributor); Jeong, Kiho (contributor);  … - 2008
In recent years support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a moving...
Persistent link: https://www.econbiz.de/10003636113
Cover Image
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
Cover Image
Vorhersage kurzfristiger Aktienkursrenditen : Entwicklung eines maschinellen Lernverfahrens
Thom, Patrick René - 2012 - 1. Aufl.
Persistent link: https://www.econbiz.de/10009577201
Cover Image
Tehran stock price modeling and forecasting using support vector regression (SVR) and its comparison with the classic model ARIMA
Hajibabaei, Saeed; Hajibabaei, Nematollah; Hosseini, … - In: Iranian economic review : journal of University of Tehran 18 (2014) 2, pp. 105-130
Persistent link: https://www.econbiz.de/10011455426
Cover Image
Stock market simulation using support vector machines
Rosillo, Rafael; Giner, Javier; Fuente, David de la - In: Journal of forecasting 33 (2014) 6, pp. 488-500
Persistent link: https://www.econbiz.de/10010426237
Cover Image
Share price time series forecasting for effective supply chain information exchange
Ayyanathan, N.; Kannammal, A. - In: International journal of logistics systems and management 18 (2014) 1, pp. 139-158
Persistent link: https://www.econbiz.de/10010480207
Cover Image
A stock selection model based on fundamental and technical analysis variables by using artificial neural networks and support vector machines
Emir, Şenol; Dinçer, Hasan; Timor, Mehpare - In: Review of economics & finance (2012) 3, pp. 106-122
Persistent link: https://www.econbiz.de/10009680481
Cover Image
Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN and ARIMA-random forest hybrid models
Kumar, Manish; Thenmozhi, M. - In: International journal of banking, accounting and finance 5 (2013/2014) 3, pp. 284-308
Persistent link: https://www.econbiz.de/10011474500
Cover Image
Price and volatility forecasting in electricity with support vector regression and random forest
Kara, Mahmut; Atici, Kazim Baris; Ulucan, Aydin - In: Applied operations research and financial modelling in …, (pp. 101-124). 2021
Persistent link: https://www.econbiz.de/10012660732