172 related articles for article (PubMed ID: 30865670)
1. Financial time series forecasting using twin support vector regression.
Gupta D; Pratama M; Ma Z; Li J; Prasad M
PLoS One; 2019; 14(3):e0211402. PubMed ID: 30865670
[TBL] [Abstract][Full Text] [Related]
2. A heterogeneous artificial stock market model can benefit people against another financial crisis.
Yang H; Chen S
PLoS One; 2018; 13(6):e0197935. PubMed ID: 29912893
[TBL] [Abstract][Full Text] [Related]
3. A hybrid approach of stepwise regression, logistic regression, support vector machine, and decision tree for forecasting fraudulent financial statements.
Chen S; Goo YJ; Shen ZD
ScientificWorldJournal; 2014; 2014():968712. PubMed ID: 25302338
[TBL] [Abstract][Full Text] [Related]
4. A feature fusion based forecasting model for financial time series.
Guo Z; Wang H; Liu Q; Yang J
PLoS One; 2014; 9(6):e101113. PubMed ID: 24971455
[TBL] [Abstract][Full Text] [Related]
5. ℓ(p)-Norm multikernel learning approach for stock market price forecasting.
Shao X; Wu K; Liao B
Comput Intell Neurosci; 2012; 2012():601296. PubMed ID: 23365561
[TBL] [Abstract][Full Text] [Related]
6. Forecasting leading industry stock prices based on a hybrid time-series forecast model.
Tsai MC; Cheng CH; Tsai MI; Shiu HY
PLoS One; 2018; 13(12):e0209922. PubMed ID: 30596772
[TBL] [Abstract][Full Text] [Related]
7. Stock Market Prediction Using Optimized Deep-ConvLSTM Model.
Kelotra A; Pandey P
Big Data; 2020 Feb; 8(1):5-24. PubMed ID: 32073904
[TBL] [Abstract][Full Text] [Related]
8. Bond market forecasting: what can hospitals expect in 1982 financial market?
Mansdorf BD; Marion JR; Rorke A
Hosp Financ Manage; 1982 Jan; 36(1):34-6, 38-43. PubMed ID: 10253852
[No Abstract] [Full Text] [Related]
9. Forecasting Financial Extremes: A Network Degree Measure of Super-Exponential Growth.
Yan W; van Tuyll van Serooskerken E
PLoS One; 2015; 10(9):e0128908. PubMed ID: 26339793
[TBL] [Abstract][Full Text] [Related]
10. TWSVR: Regression via Twin Support Vector Machine.
Khemchandani R; Goyal K; Chandra S
Neural Netw; 2016 Feb; 74():14-21. PubMed ID: 26624223
[TBL] [Abstract][Full Text] [Related]
11. Using Internet Search Trends and Historical Trading Data for Predicting Stock Markets by the Least Squares Support Vector Regression Model.
Pai PF; Hong LC; Lin KP
Comput Intell Neurosci; 2018; 2018():6305246. PubMed ID: 30140278
[TBL] [Abstract][Full Text] [Related]
12. Improving stock trading decisions based on pattern recognition using machine learning technology.
Lin Y; Liu S; Yang H; Wu H; Jiang B
PLoS One; 2021; 16(8):e0255558. PubMed ID: 34358269
[TBL] [Abstract][Full Text] [Related]
13. Today's investment decisions will dictate future services.
Lane LF
Provider; 1986 Sep; 12(9):31-2. PubMed ID: 10311699
[No Abstract] [Full Text] [Related]
14. The interdependency structure in the Mexican stock exchange: A network approach.
Treviño Aguilar E
PLoS One; 2020; 15(10):e0238731. PubMed ID: 33119706
[TBL] [Abstract][Full Text] [Related]
15. Linking agent-based models and stochastic models of financial markets.
Feng L; Li B; Podobnik B; Preis T; Stanley HE
Proc Natl Acad Sci U S A; 2012 May; 109(22):8388-93. PubMed ID: 22586086
[TBL] [Abstract][Full Text] [Related]
16. The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US.
Chiew D; Qiu J; Treepongkaruna S; Yang J; Shi C
PLoS One; 2019; 14(4):e0215320. PubMed ID: 31002680
[TBL] [Abstract][Full Text] [Related]
17. Closing the theory/application gap: computer modeling helps decision makers.
Harris JP
Healthc Financ Manage; 1982 Jun; 36(6):10-2, 14, 16-9. PubMed ID: 10315180
[No Abstract] [Full Text] [Related]
18. Particle Swarm Optimization-Based Support Vector Regression for Tourist Arrivals Forecasting.
Liu HH; Chang LC; Li CW; Yang CH
Comput Intell Neurosci; 2018; 2018():6076475. PubMed ID: 30327666
[TBL] [Abstract][Full Text] [Related]
19. Should You Trust Your Money to a Robot?
Dhar V
Big Data; 2015 Jun; 3(2):55-8. PubMed ID: 27447430
[TBL] [Abstract][Full Text] [Related]
20. Applying different independent component analysis algorithms and support vector regression for IT chain store sales forecasting.
Dai W; Wu JY; Lu CJ
ScientificWorldJournal; 2014; 2014():438132. PubMed ID: 25165740
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
