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https://www.sciencedirect.com/science/article/pii/S0305048301000263
This paper deals with the application of a novel neural network technique, support vector machine (SVM), in financial time series forecasting. The objective of this paper is to examine the feasibility of SVM in financial time series forecasting by comparing it with a multi-layer back-propagation (BP) neural network.Cited by: 1242
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
http://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.statistics.20140401.03
Using Support Vector Machines in Financial Time Series Forecasting Mahmoud K. Okasha Department of Applied Statistics, Al-Azhar University – Gaza, Palestine Abstract Forecasting financial time series, such as stock price indices, is a complex process. This is because financialCited by: 6
https://www.researchgate.net/publication/23794320_Application_of_support_vector_machines_in_financial_time_series_forecasting
Request PDF Application of support vector machines in financial time series forecasting This paper deals with the application of a novel neural network technique, support vector machine (SVM ...
https://ieeexplore.ieee.org/document/4840324
Apr 24, 2009 · Time Series Prediction Using Support Vector Machines: A Survey Abstract: Time series prediction techniques have been used in many real-world applications such as financial market prediction, electric utility load forecasting , weather and environmental state prediction, and reliability forecasting. The underlying system models and time series ...Cited by: 698
https://www.deepdyve.com/lp/elsevier/application-of-support-vector-machines-in-financial-time-series-Q0jU530J7C
Aug 01, 2001 · Read "Application of support vector machines in financial time series forecasting, Omega" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
https://www.cs.princeton.edu/sites/default/files/uploads/saahil_madge.pdf
The volatile nature of the stock market makes it difficult to apply simple time-series or regression techniques. Financial institutions and traders have created various proprietary models to ... Our goal is to use SVM at time t to predict whether a given stock’s price is higher or lower on day t +m. ... Support Vector Machines are one of the ...Cited by: 8
https://www2.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-63.pdf
Analysis of Hidden Markov Models and Support Vector Machines in Financial Applications Jerry Hong University of California, Berkeley Soda Hall, 2599 Hearst Ave Berkeley, CA 94720-1776 [email protected] ABSTRACT This paper presents two approaches in helping investors make better decisions. First, we discuss conventional methods,
https://en.wikipedia.org/wiki/Directional_symmetry_(time_series)
In statistical analysis of time series and in signal processing, directional symmetry is a statistical measure of a model's performance in predicting the direction of change, positive or negative, of a time series from one time period to the next.
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