24.1.8 Financial Analysis

Chapter Contents (Back)
Economic Analysis. Financial Data.

Tinù, P.[Peter], Schittenkopf, C.[Christian], Dorffner, G.[Georg],
Volatility Trading via Temporal Pattern Recognition in Quantised Financial Time Series,
PAA(4), No. 4 2001, pp. 283-299.
Springer DOI 0202
BibRef

Keilis-Borok, V.I., Soloviev, A.A., Allègre, C.B., Sobolevskii, A.N., Intriligator, M.D.,
Patterns of macroeconomic indicators preceding the unemployment rise in Western Europe and the USA,
PR(38), No. 3, March 2005, pp. 423-435.
Elsevier DOI 0412
BibRef

Anderson, B.B., Hansen, J.V., Lowry, P.B., Summers, S.L.,
Model checking for E-business control and assurance,
SMC-C(35), No. 3, August 2005, pp. 445-450.
IEEE DOI 0508
BibRef

Nanni, L.[Loris],
Multi-resolution subspace for financial trading,
PRL(27), No. 2, 15 January 2006, pp. 109-115.
Elsevier DOI 0512
BibRef

Yümlü, S.[Serdar], Gürgen, F.S.[Fikret S.], Okay, N.[Nesrin],
A comparison of global, recurrent and smoothed-piecewise neural models for Istanbul stock exchange (ISE) prediction,
PRL(26), No. 13, 1 October 2005, pp. 2093-2103.
Elsevier DOI 0509
BibRef

Mishra, S.K.[Sudhansu Kumar], Panda, G.[Ganapati], Meher, S.[Sukadev], Majhi, R.[Ritanjali],
Multi-objective evolutionary algorithms for financial portfolio design,
IJCVR(1), No. 2, 2010, pp. 236-247.
DOI Link 1011
BibRef

Yang, Y.[Yi], Liu, J.P.[Ji-Ping], Xu, S.H.[Sheng-Hua], Zhao, Y.Y.[Yang-Yang],
An Extended Semi-Supervised Regression Approach with Co-Training and Geographical Weighted Regression: A Case Study of Housing Prices in Beijing,
IJGI(5), No. 1, 2016, pp. 4.
DOI Link 1602
BibRef

Donnat, P.[Philippe], Marti, G.[Gautier], Very, P.[Philippe],
Toward a generic representation of random variables for machine learning,
PRL(70), No. 1, 2016, pp. 24-31.
Elsevier DOI 1602
Financial time series BibRef

Cao, N., Brahma, S., Varshney, P.K.,
Optimal Auction Design With Quantized Bids,
SPLetters(23), No. 11, November 2016, pp. 1518-1522.
IEEE DOI 1609
commerce BibRef

Lee, E.[Eunjin], Kwon, J.M.[Jung-Min],
Effects of money simulation application on persons with intellectual disabilities with money transaction difficulties,
IJCVR(6), No. 3, 2016, pp. 253-260.
DOI Link 1608
BibRef

Zhao, F.[Feng], Zhang, Y.[Yuyi], Chen, H.B.[Hong-Bin],
Multimodal data analysis and integration for multi-slot spectrum auction based on Deep Feedforward Network,
PR(72), No. 1, 2017, pp. 466-472.
Elsevier DOI 1708
Multimodal data analysis and integration BibRef


McCluskey, J., Liu, J.G.[Jian-Guo],
US financial market forecasting using data classification with features from global markets,
ICIVC17(965-969)
IEEE DOI 1708
Predictive models, NASDAQ, data classification, financial market forecasting, gradient boosting, support, vector, machines BibRef

Yang, W.D.[Wen-Dong], Lou, Z.Z.[Zheng-Zheng], Ji, B.[Bo],
A multi-factor analysis model of quantitative investment based on GA and SVM,
ICIVC17(1152-1155)
IEEE DOI 1708
Genetic algorithms, Prediction algorithms, Predictive models, Support vector machines, GA, SVM, feature weighting, investment, multi-factor, model BibRef

Yu, Y.[Yawen], Wang, S.S.[Shan-Shan], Zhang, L.J.[Li-Jun],
Stock price forecasting based on BP neural network model of network public opinion,
ICIVC17(1058-1062)
IEEE DOI 1708
Analytical models, Forecasting, Internet, Investment, Training, BP neural network, network public opinion, stock price forecast, text, analysis BibRef

Zeng, J.Y.[Jun-Ya], Lin, J.B.[Jian-Bang], Wang, T.[Tian],
A new competing risks model for predicting prepayment and default using data mining,
ICIVC17(985-989)
IEEE DOI 1708
Testing, Training, competing risks model, data mining, default, logistic regression, microfinance, prepayment BibRef

Cui, L.X.[Li-Xin], Bai, L.[Lu], Wang, Y.[Yue], Bai, X.[Xiao], Zhang, Z.H.[Zhi-Hong], Hancock, E.R.[Edwin R.],
P2P Lending Analysis Using the Most Relevant Graph-Based Features,
SSSPR16(3-14).
Springer DOI 1611
BibRef

Pinheiro do Nascimento, T., Labidi, S., Neto, P.B., Timbó, N., Almeida, A.,
A system based on genetic algorithms as a decision making support for the purchase and sale of assets at Sao Paulo Stock Exchange,
ICCVIA15(1-6)
IEEE DOI 1603
decision making BibRef

Yang, F.[Fan], Zhang, J.J.[Jiang-Jun],
Bullish-bearish-based neural network stock trading decision supportano its application in Hong Kong stock market,
ICWAPR15(179-184)
IEEE DOI 1511
generalisation (artificial intelligence) BibRef

Dhamotharan, L., Ismail, M.T., Ignatius, J., Xue, P.X.[Peng-Xiang],
Exchange rate and interest rate differential: A conundrum re-examined via wavelet analysis,
ICWAPR15(75-80)
IEEE DOI 1511
discrete wavelet transforms BibRef

Podsiadlo, M.[Mariusz], Rybinski, H.[Henryk],
Application of Fuzzy Rough Sets to Financial Time Series Forecasting,
PReMI15(397-406).
Springer DOI 1511
BibRef

Letchford, A.[Adrian], Gao, J.B.[Jun-Bin], Zheng, L.[Lihong],
Smoothing Security Prices,
ICPR14(1037-1042)
IEEE DOI 1412
Correlation BibRef

Becerra-Gaviño, G.[Gustavo], Barbosa-Santillán, L.I.[Liliana Ibeth],
Neuro-Fuzzy Data Mining Mexico's Economic Data,
CIARP14(645-657).
Springer DOI 1411
BibRef

Hossain, A.[Altaf], Zaman, F.[Faisal], Nasser, M., Islam, M.M.[M. Mufakhkharul],
Comparison of GARCH, Neural Network and Support Vector Machine in Financial Time Series Prediction,
PReMI09(597-602).
Springer DOI 0912
BibRef

Yang, Q.[Qi], Gan, X.Y.[Xiao-Yu], Li, J.L.[Jian-Long], Yang, F.[Feng],
Simulation of Urbanization Development Using Cellular Automata Model to Inform Urban Planning Policy in Zhangjiagang Region, China,
CISP09(1-5).
IEEE DOI 0910
BibRef

Huang, Q.H.[Qing-Hua], Lu, M.[Minhua],
Evolutionary Discovery of Co-Movement Patterns Among Foreign Currencies,
CISP09(1-5).
IEEE DOI 0910
BibRef

Nakajima, T.[Tatsuo], Kimura, H.[Hiroaki], Yamabe, T.[Tetsuo], Lehdonvirta, V.[Vili], Takayama, C.[Chihiro], Shiraishi, M.[Miyuki], Washio, Y.[Yasuyuki],
Using Aesthetic and Empathetic Expressions to Motivate Desirable Lifestyle,
SSC08(220-234).
Springer DOI 0810
BibRef

Zhao, H.V.[H. Vicky], Lin, W.S.[W. Sabrina], Liu, K.J.R.[K. J. Ray],
Game-theoretic analysis of maximum-payoff multiuser collusion,
ICIP08(1276-1279).
IEEE DOI 0810
BibRef

Bicego, M.[Manuele], Grosso, E.[Enrico], Otranto, E.[Edoardo],
A Hidden Markov Model Approach to Classify and Predict the Sign of Financial Local Trends,
SSPR08(852-861).
Springer DOI 0812
BibRef

Jun, T.[Tang],
A Peer Dataset Comparison Outlier Detection Model Applied to Financial Surveillance,
ICPR06(IV: 900-903).
IEEE DOI 0609
BibRef

Chapter on New Unsorted Entries, and Other Miscellaneous Papers continues in
Time Series Analysis, One-D Waveform Analysis, One-D Signals .


Last update:Sep 18, 2017 at 11:34:11