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https://www.sciencedirect.com/science/article/pii/S0925231203003722
Although SVM has the above advantages, there is few studies for the application of SVM in financial time-series forecasting. Mukherjee et al. showed the applicability of SVM to time-series forecasting. Recently, Tay and Cao examined the predictability of financial time-series including five time series data with SVMs. They showed that SVMs ...Cited by: 1474
https://stackoverflow.com/questions/31048964/time-series-forecasting-using-support-vector-machine
Financial time series forecasting using support vector machine. Using Support Vector Machines in Financial Time Series Forecasting. Financial Forecasting Using Support Vector Machines. I really recommend that you go through the existent literature, but just for fun I will describe an easy way (probably not the best) to do it.
https://www.sciencedirect.com/science/article/pii/S0305048301000263
Application of support vector machines in financial time series forecasting Structural risk minimization principle Financial time series forecasting is regarded as one of the most challenging applications of modern time series forecasting.Cited by: 1242
https://ieeexplore.ieee.org/document/5045969/
Forecasting financial time series with support vector machines based on dynamic kernels Abstract: The technical analysis of financial time series and in particular the prediction of future developments is a challenging problem that has been addressed by many researchers and practitioners due to the possible profit.Cited by: 9
https://www.researchgate.net/publication/3303316_Support_vector_machine_with_adaptive_parameters_in_financial_time_series_forecasting
Support vector machine with adaptive parameters in financial time series forecasting Article (PDF Available) in IEEE Transactions on Neural Networks 14(6):1506 - 1518 · December 2003 with 535 Reads
http://article.sapub.org/10.5923.j.statistics.20140401.03.html
Using Support Vector Machines in Financial Time Series Forecasting Forecasting financial time series, such as stock price indices, is a complex process.Cited by: 6
https://www.researchgate.net/publication/224493975_Forecasting_financial_time_series_with_support_vector_machines_based_on_dynamic_kernels
When application in time series forecasting, the standard SVM (support vector machine) algorithm has some defects, such as low accuracy in preferences and weak performance of anti-noise. In this...
https://www.researchgate.net/publication/222661136_Financial_time_series_forecasting_using_support_vector_machines
Abstract Support vector machines (SVMs) are promising methods for the prediction of financial time-series because they use a risk function consisting of the empirical error and a regularized term...
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