A novel LASSO – TLBO – SVR hybrid model for an efficient portfolio construction

Sasmita Mishra1, Sudarsan Padhy2, Satya Narayan Mishra3, Satya Narayan Misra1
1KIIT School of Management, KIIT University, Bhubaneswar 751024, Odisha, India
2Department of Computer Science and Engineering, Silicon Institute of Technology, Bhubaneswar 751024, Odisha, India
3Tathya Software Pvt. Ltd., Bhubaneswar 751030, Odisha, India

Tài liệu tham khảo

Aiken, 1999, Forecasting market trends with neural networks, Information Systems Management, 16, 42, 10.1201/1078/43189.16.4.19990901/31202.6 Anagnostopoulos, 2010, A portfolio optimization model with three objectives and discrete variables, Computers & Operations Research, 37, 1285, 10.1016/j.cor.2009.09.009 Bachu, 2019, A review of feature selection and its methods, Cybernetics and Information Technologies, 19, 3, 10.2478/cait-2019-0001 Basak, 2007, Support vector regression, Neural Information Processing-Letters and Reviews, 11, 203 Black, 1992, Global portfolio optimization, Financial Analysts Journal, 48, 28, 10.2469/faj.v48.n5.28 Bounsiar, 2014 Chandrashekar, 2014, A survey on feature selection methods, Computers & Electrical Engineering, 40, 16, 10.1016/j.compeleceng.2013.11.024 Chen, 2006, Comparison of support-vector machines and back propagation neural networks in forecasting the six major Asian stock markets, International Journal of Electronic Finance, 1, 49, 10.1504/IJEF.2006.008837 Chiang, 1996, A neural network approach to mutual fund net asset value forecasting, Omega, 24, 205, 10.1016/0305-0483(95)00059-3 Cortes, 1995, Support-vector networks, Mach Learn, 20, 273, 10.1007/BF00994018 Das, 2016, Novel hybrid SVM-TLBO forecasting model incorporating dimensionality reduction techniques, Applied Intelligence, 45, 1148, 10.1007/s10489-016-0801-3 Das, 2016, A new hybrid parametric and machine learning model with homogeneity hint for European-style index option pricing, Neural Computing & Applications, 28, 4061, 10.1007/s00521-016-2303-y Das, 2015, A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting, The International Journal of Machine Learning and Cybernetics, 9, 97, 10.1007/s13042-015-0359-0 DeMiguel, 2009, Optimal versus naive diversification: how inefficient is the 1/ N portfolio strategy?, The Review of Financial Studies, 22, 1915, 10.1093/rfs/hhm075 Efron, 2004, Least angle regression, Annals of Statistics, 32, 407, 10.1214/009053604000000067 Fama, 1995, Random walk in stock market prices, Financial Analysts Journal, 51, 75, 10.2469/faj.v51.n1.1861 Fonti, V. & Belitser, E. N., 2017. Paper in Business Analytics Feature Selection using LASSO. Hastie, 2015 Haykin, 2009 Hoerl, 1970, Ridge regression: Applications to nonorthogonal problems, Technometrics, 12, 69, 10.1080/00401706.1970.10488635 Hwarng, 2001, Insights into neural-network forecasting of time series corresponding to ARMA(p,q) structures, Omega, 29, 273, 10.1016/S0305-0483(01)00022-6 Jensen, 1978, Some anomalous evidence regarding market efficiency, Journal of Financial Economics, 6, 95, 10.1016/0304-405X(78)90025-9 Kim, 2003, Financial time series forecasting using support vector machines, Neurocomputing, 55, 307, 10.1016/S0925-2312(03)00372-2 Markowitz, 1952, Portfolio selection, The Journal of Finance, 7, 77 Markowitz, 1990 Meinshausen, 2009, Lasso-type recovery of spars representations for high-dimensinality data, The Annals of Statistics, 37, 246, 10.1214/07-AOS582 Mishra, 2019, An efficient portfolio construction model using stock price predicted by support vector regression, The North American Journal of Economics and Finance, 50, 101027, 10.1016/j.najef.2019.101027 Mohanty, 2017, A novel OFS–TLBO–SVR hybrid model for optimal budget allocation of government schemes to maximize GVA at factor cost, Journal of Management Analytics, 5, 32, 10.1080/23270012.2017.1373262 Rao, 2016, Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimisation problems, Decision Science Letters, 5, 1 Rao, 2012, An improved teaching-learning-based optimization algorithm for solving unconstrained optimization problems, Scientia Iranica, 20, 710 Rao, 2011, Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems, Computer-Aided Design, 43, 303, 10.1016/j.cad.2010.12.015 Sapankevych, 2009, Time series prediction using support vector machines: A survey, The IEEE Computational Intelligence Magazine, 4, 24, 10.1109/MCI.2009.932254 Sharpe, 1964, Capital asset prices: A theory of market equillibrium under conditions of risk, Journal of finance, 19, 425 Tay, 2002, Modified support vector machines in financial time series forecasting, Neurocomputing, 48, 847, 10.1016/S0925-2312(01)00676-2 Tibshirani, 1996, Regression shrinkage and selection via the Lasso, Journal of the Royal Statistical Society: Series B (Methodological), 58, 267 Timmermann, 2004, Efficient market hypothesis and forecasting, International Journal of Forecasting, 20, 15, 10.1016/S0169-2070(03)00012-8