Skip to main content

2012 | OriginalPaper | Buchkapitel

Natural Computing in Finance – A Review

verfasst von : Anthony Brabazon, Jing Dang, Ian Dempsey, Michael O'Neill, David Edelman

Erschienen in: Handbook of Natural Computing

Verlag: Springer Berlin Heidelberg

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The field of natural computing (NC) has advanced rapidly over the past decade. One significant offshoot of this progress has been the application of NC methods in finance. This chapter provides an introduction to a wide range of financial problems to which NC methods have been usefully applied. The chapter also identifies open issues and suggests future directions for the application of NC methods in finance.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Aiken M (2000) Forecasting the United States gross domestic product with a neural network. J Int Inform Manag 9(1):11–21 Aiken M (2000) Forecasting the United States gross domestic product with a neural network. J Int Inform Manag 9(1):11–21
Zurück zum Zitat Aiken M, Bsat M (1999) Forecasting market trends with neural networks. Inform Syst Manag 16(4):42–48 Aiken M, Bsat M (1999) Forecasting market trends with neural networks. Inform Syst Manag 16(4):42–48
Zurück zum Zitat Alexandrova-Kabadjova B, Tsang E, Krause A (2008) Evolutionary learning of the optimal pricing strategy in an artificial payment card market. In: Brabazon A, O'Neill M(eds) Natural computing in computational finance. Springer, Berlin, pp 233–251CrossRef Alexandrova-Kabadjova B, Tsang E, Krause A (2008) Evolutionary learning of the optimal pricing strategy in an artificial payment card market. In: Brabazon A, O'Neill M(eds) Natural computing in computational finance. Springer, Berlin, pp 233–251CrossRef
Zurück zum Zitat Alfaro-Cid E, Cuesta-Canada A, Sharman K, Esparcia-Alcazar A (2008) Strong typing, variable reduction and bloat control for solving the bankruptcy prediction problem using genetic programming. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 161–186CrossRef Alfaro-Cid E, Cuesta-Canada A, Sharman K, Esparcia-Alcazar A (2008) Strong typing, variable reduction and bloat control for solving the bankruptcy prediction problem using genetic programming. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 161–186CrossRef
Zurück zum Zitat Allen F, Karjalainen R (1999) Using genetic algorithms to find technical trading rules. J Financ Econ 51:245–271CrossRef Allen F, Karjalainen R (1999) Using genetic algorithms to find technical trading rules. J Financ Econ 51:245–271CrossRef
Zurück zum Zitat Altman E (1968) Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J Financ 23:589–609CrossRef Altman E (1968) Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J Financ 23:589–609CrossRef
Zurück zum Zitat Armano G, Marchesi M, Murru A (2005) A hybrid genetic-neural architecture for stock indexes forecasting. Inform Sci 170:3–33MathSciNetCrossRef Armano G, Marchesi M, Murru A (2005) A hybrid genetic-neural architecture for stock indexes forecasting. Inform Sci 170:3–33MathSciNetCrossRef
Zurück zum Zitat Arone S, Loraschi A, Tettamanzi A (1993) A genetic approach to portfolio selection. Neural Netw World Int J Neural Mass-Parallel Comput Inform Syst 3:597–604 Arone S, Loraschi A, Tettamanzi A (1993) A genetic approach to portfolio selection. Neural Netw World Int J Neural Mass-Parallel Comput Inform Syst 3:597–604
Zurück zum Zitat Atiya A (2001) Bankruptcy prediction for credit risk using neural networks: a survey and new results. IEEE Trans Neural Netw 12(4):929–935CrossRef Atiya A (2001) Bankruptcy prediction for credit risk using neural networks: a survey and new results. IEEE Trans Neural Netw 12(4):929–935CrossRef
Zurück zum Zitat Bauer R (1994) Genetic algorithms and investment strategies. Wiley, New York Bauer R (1994) Genetic algorithms and investment strategies. Wiley, New York
Zurück zum Zitat Belkaoui A (1978) Financial ratios as predictors of Canadian takeovers. J Bus Financ Account 5(5):93–108 Belkaoui A (1978) Financial ratios as predictors of Canadian takeovers. J Bus Financ Account 5(5):93–108
Zurück zum Zitat Black F, Scholes M (1973) The pricing of options and corporate liabilities. J Polit Econ 81:637–659CrossRef Black F, Scholes M (1973) The pricing of options and corporate liabilities. J Polit Econ 81:637–659CrossRef
Zurück zum Zitat Brabazon A, O'Neill M (2006) Biologically inspired algorithms for financial modelling. Springer, BerlinMATH Brabazon A, O'Neill M (2006) Biologically inspired algorithms for financial modelling. Springer, BerlinMATH
Zurück zum Zitat Brabazon A, O'Neill M (eds) (2008) Natural computing in computational finance. Springer, BerlinMATH Brabazon A, O'Neill M (eds) (2008) Natural computing in computational finance. Springer, BerlinMATH
Zurück zum Zitat Brabazon A, O'Neill M (eds) (2009) Natural computing in computational finance, vol II. Springer, Berlin Brabazon A, O'Neill M (eds) (2009) Natural computing in computational finance, vol II. Springer, Berlin
Zurück zum Zitat Castillo Tapia MG, Coello Coello C (2007) Applications of multi-objective evolutionary algorithms in economics and finance: a survey. In: CEC 2007: Proceedings of the IEEE international conference on evolutionary computation, Singapore, September 2007. IEEE Press, Piscataway, NJ, pp 532–539 Castillo Tapia MG, Coello Coello C (2007) Applications of multi-objective evolutionary algorithms in economics and finance: a survey. In: CEC 2007: Proceedings of the IEEE international conference on evolutionary computation, Singapore, September 2007. IEEE Press, Piscataway, NJ, pp 532–539
Zurück zum Zitat de Castro LN (2007) Fundamentals of natural computing: an overview. Phys Life Rev 4(1):1–36CrossRef de Castro LN (2007) Fundamentals of natural computing: an overview. Phys Life Rev 4(1):1–36CrossRef
Zurück zum Zitat Cao LJ, Tay FEH (2003a) Support vector machine with adaptive parameters in financial time series forecasting. IEEE Trans Neural Netw 14(6):1506–1518CrossRef Cao LJ, Tay FEH (2003a) Support vector machine with adaptive parameters in financial time series forecasting. IEEE Trans Neural Netw 14(6):1506–1518CrossRef
Zurück zum Zitat Cao LJ, Tay FEH (2003b) A hybrid neurogenetic approach for stock forecasting. IEEE Trans Neural Netw 18(3):851–864 Cao LJ, Tay FEH (2003b) A hybrid neurogenetic approach for stock forecasting. IEEE Trans Neural Netw 18(3):851–864
Zurück zum Zitat Chen S-H (eds) (2002) Genetic algorithms and genetic programming in computational finance. Kluwer Academic, Norwell, MA Chen S-H (eds) (2002) Genetic algorithms and genetic programming in computational finance. Kluwer Academic, Norwell, MA
Zurück zum Zitat Chen S-H, Kuo T-W (2002) Evolutionary computation in economics and finance: a bibliography. In: Chen S-H (ed) Evolutionary computation in economics and finance. Physica-Verlag, Heidelberg Chen S-H, Kuo T-W (2002) Evolutionary computation in economics and finance: a bibliography. In: Chen S-H (ed) Evolutionary computation in economics and finance. Physica-Verlag, Heidelberg
Zurück zum Zitat Chen SH, Yeh CH (2001) Evolving traders and the business school with genetic programming: a new architecture of the agent-based stock market. J Econ Dyn Control 25(3–4):363–393MATHCrossRef Chen SH, Yeh CH (2001) Evolving traders and the business school with genetic programming: a new architecture of the agent-based stock market. J Econ Dyn Control 25(3–4):363–393MATHCrossRef
Zurück zum Zitat Chen S-H, Lee W-C, Yeh C-H (1999) Hedging derivative securities with genetic programming. Int J Intell Syst Account Financ Manag 8(4):237–251CrossRef Chen S-H, Lee W-C, Yeh C-H (1999) Hedging derivative securities with genetic programming. Int J Intell Syst Account Financ Manag 8(4):237–251CrossRef
Zurück zum Zitat Chidambaran N (2003) Genetic programming with Monte Carlo simulation for option pricing. In: Proceedings of the 2003 IEEE winter simulation conference, New Orleans, LA, December 2003. IEEE Press, Piscataway, NJ, pp 285–292 Chidambaran N (2003) Genetic programming with Monte Carlo simulation for option pricing. In: Proceedings of the 2003 IEEE winter simulation conference, New Orleans, LA, December 2003. IEEE Press, Piscataway, NJ, pp 285–292
Zurück zum Zitat Chidambaran N, Lee C, Trigueros J (1998) Adapting Black-Scholes to a non-Black-Scholes environment via genetic programming. In: CIFEr: Proceedings of the IEEE/IAFE/INFORMS 1998 conference on computational intelligence for financial engineering, New York, March 1998. IEEE Press, Piscataway, NJ, pp 197–211 Chidambaran N, Lee C, Trigueros J (1998) Adapting Black-Scholes to a non-Black-Scholes environment via genetic programming. In: CIFEr: Proceedings of the IEEE/IAFE/INFORMS 1998 conference on computational intelligence for financial engineering, New York, March 1998. IEEE Press, Piscataway, NJ, pp 197–211
Zurück zum Zitat Coello C, Van Veldhuizen D, Lamont G (2002) Evolutionary algorithms for solving multi-objective problems. Kluwer Academic, New YorkMATH Coello C, Van Veldhuizen D, Lamont G (2002) Evolutionary algorithms for solving multi-objective problems. Kluwer Academic, New YorkMATH
Zurück zum Zitat da Costa Pereira C, Tettamanzi A (2008) Fuzzy-evolutionary modeling for single-position day trading. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 131–159CrossRef da Costa Pereira C, Tettamanzi A (2008) Fuzzy-evolutionary modeling for single-position day trading. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 131–159CrossRef
Zurück zum Zitat Cox J, Ross S, Rubinstein M (1979) Option pricing: a simplified approach. J Financ Econ 7:229–264MATHCrossRef Cox J, Ross S, Rubinstein M (1979) Option pricing: a simplified approach. J Financ Econ 7:229–264MATHCrossRef
Zurück zum Zitat Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, New York Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, New York
Zurück zum Zitat Damodaran A (2003) Investment philosophies: successful investment philosophies and the greatest investors who made them work. Wiley, Hoboken, NJ, p 8 Damodaran A (2003) Investment philosophies: successful investment philosophies and the greatest investors who made them work. Wiley, Hoboken, NJ, p 8
Zurück zum Zitat Dang J, Brabazon A, O'Neill M, Edelman D (2008) Option model calibration using a bacterial foraging optimisation algorithm. In: EvoFin 2008: Proceedings of the 2nd European workshop on evolutionary computation in finance and economics, Napoli, Italy, March 2008. Lecture notes in computer science, vol 4974. Springer, New York, pp 133–143 Dang J, Brabazon A, O'Neill M, Edelman D (2008) Option model calibration using a bacterial foraging optimisation algorithm. In: EvoFin 2008: Proceedings of the 2nd European workshop on evolutionary computation in finance and economics, Napoli, Italy, March 2008. Lecture notes in computer science, vol 4974. Springer, New York, pp 133–143
Zurück zum Zitat Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Chichester, UKMATH Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Chichester, UKMATH
Zurück zum Zitat Dempsey I, O'Neill M, Brabazon A (2009) Foundations in grammatical evolution for dynamic environments. Springer, BerlinCrossRef Dempsey I, O'Neill M, Brabazon A (2009) Foundations in grammatical evolution for dynamic environments. Springer, BerlinCrossRef
Zurück zum Zitat Dempster M, Jones C (2001) A real-time adaptive trading system using genetic programming. Quant Financ 1:397–413CrossRef Dempster M, Jones C (2001) A real-time adaptive trading system using genetic programming. Quant Financ 1:397–413CrossRef
Zurück zum Zitat Diagne M (2002) Financial risk management and portfolio optimization using neural networks and extreme value theory. Ph.D. thesis, University of Kaiserslautern Diagne M (2002) Financial risk management and portfolio optimization using neural networks and extreme value theory. Ph.D. thesis, University of Kaiserslautern
Zurück zum Zitat Dopuch N, Holthausen RW, Leftwich RW (1987) Predicting audit qualifications with financial and market variables. Account Rev LXII(3):431–454 Dopuch N, Holthausen RW, Leftwich RW (1987) Predicting audit qualifications with financial and market variables. Account Rev LXII(3):431–454
Zurück zum Zitat Dreżewski R, Siwik L (2008) Co-evolutionary multi-agent system for portfolio optimization. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 271–299CrossRef Dreżewski R, Siwik L (2008) Co-evolutionary multi-agent system for portfolio optimization. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 271–299CrossRef
Zurück zum Zitat Dutta S, Shekhar S (1988) Bond rating: a non-conservative application of neural networks. In: Proceedings of IEEE international conference on neural networks, II, San Diego, CA, July 1988, IEEE Press, Piscataway, NJ, pp 443–450 Dutta S, Shekhar S (1988) Bond rating: a non-conservative application of neural networks. In: Proceedings of IEEE international conference on neural networks, II, San Diego, CA, July 1988, IEEE Press, Piscataway, NJ, pp 443–450
Zurück zum Zitat Ecca S, Marchesi M, Setzu A (2008) Modeling and simulation of an artificial stock option market. Comput Econ 32(1):37–53MATHCrossRef Ecca S, Marchesi M, Setzu A (2008) Modeling and simulation of an artificial stock option market. Comput Econ 32(1):37–53MATHCrossRef
Zurück zum Zitat Edelman D, Davy P (2004) Adaptive technical analysis in the financial markets using machine learning: a statistical view. In: Fulcher J, Jain LC (eds) Applied intelligent systems new directions series studies in fuzziness and soft computing. Springer, Berlin, pp 1–15 Edelman D, Davy P (2004) Adaptive technical analysis in the financial markets using machine learning: a statistical view. In: Fulcher J, Jain LC (eds) Applied intelligent systems new directions series studies in fuzziness and soft computing. Springer, Berlin, pp 1–15
Zurück zum Zitat Ederington H (1985) Classification models and bond ratings. Financ Rev 20(4):237–262CrossRef Ederington H (1985) Classification models and bond ratings. Financ Rev 20(4):237–262CrossRef
Zurück zum Zitat Fabozzi FJ et al. (2007) Trends in quantitative equity management: survey results. Quant Financ 7(2):115–122MathSciNetCrossRef Fabozzi FJ et al. (2007) Trends in quantitative equity management: survey results. Quant Financ 7(2):115–122MathSciNetCrossRef
Zurück zum Zitat Fan K, Brabazon A, O'Sullivan C, O'Neill M (2007) Quantum-inspired evolutionary algorithms for calibration of the VG option pricing model. In: EvoFin 2007: Proceedings of the 1st European workshop on evolutionary computation in finance and economics, Valencia, Spain, April 2007. Lecture notes in computer science, vol 4447. Springer, Berlin, pp 186–195 Fan K, Brabazon A, O'Sullivan C, O'Neill M (2007) Quantum-inspired evolutionary algorithms for calibration of the VG option pricing model. In: EvoFin 2007: Proceedings of the 1st European workshop on evolutionary computation in finance and economics, Valencia, Spain, April 2007. Lecture notes in computer science, vol 4447. Springer, Berlin, pp 186–195
Zurück zum Zitat Fieldsend J, Matatko J, Peng M (2004) Cardinality constrained portfolio optimisation. In: IDEAL 2004: Intelligent data engineering and automated learning, Exeter, UK, August 2004. Lecture notes in computer science, vol 3177. Springer, New York, pp 788–793 Fieldsend J, Matatko J, Peng M (2004) Cardinality constrained portfolio optimisation. In: IDEAL 2004: Intelligent data engineering and automated learning, Exeter, UK, August 2004. Lecture notes in computer science, vol 3177. Springer, New York, pp 788–793
Zurück zum Zitat Fyfe C, Marney J, Tarbert H (1999) Technical analysis versus market efficiency – a genetic programming approach. Appl Financ Econ 9(2):183–191CrossRef Fyfe C, Marney J, Tarbert H (1999) Technical analysis versus market efficiency – a genetic programming approach. Appl Financ Econ 9(2):183–191CrossRef
Zurück zum Zitat Gentry J, Whitford D, Newbold P (1988) Predicting industrial bond ratings with a probit model and funds flow components. Financ Rev 23(3):269–286CrossRef Gentry J, Whitford D, Newbold P (1988) Predicting industrial bond ratings with a probit model and funds flow components. Financ Rev 23(3):269–286CrossRef
Zurück zum Zitat Ghandar A, Michalewicz Z, Schmidt M, Tô T-D, Zurbrugg R (2008) Computational intelligence for evolving trading rules. IEEE Trans Evol Comput 13(1):71–86CrossRef Ghandar A, Michalewicz Z, Schmidt M, Tô T-D, Zurbrugg R (2008) Computational intelligence for evolving trading rules. IEEE Trans Evol Comput 13(1):71–86CrossRef
Zurück zum Zitat Gode DK, Sunder S (1993) Allocative efficiency of markets with zero intelligence traders. J Polit Economy 101:119–137CrossRef Gode DK, Sunder S (1993) Allocative efficiency of markets with zero intelligence traders. J Polit Economy 101:119–137CrossRef
Zurück zum Zitat Harris R, Stewart J, Guilkey D, Carleton W (1982) Characteristics of acquired firms: fixed and random coefficients probit analyses. South Econ J 49(1):164–184CrossRef Harris R, Stewart J, Guilkey D, Carleton W (1982) Characteristics of acquired firms: fixed and random coefficients probit analyses. South Econ J 49(1):164–184CrossRef
Zurück zum Zitat Hickey R, Little E, Brabazon A (2006) Identifying merger and takeover targets using a self-organising map. In: ICAI '06: Proceedings of the 2006 international conference on artificial intelligence, Las Vegas, NV, June 2006. CSEA Press Hickey R, Little E, Brabazon A (2006) Identifying merger and takeover targets using a self-organising map. In: ICAI '06: Proceedings of the 2006 international conference on artificial intelligence, Las Vegas, NV, June 2006. CSEA Press
Zurück zum Zitat Hochreiter R (2008) Evolutionary stochastic portfolio optimization. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 67–87CrossRef Hochreiter R (2008) Evolutionary stochastic portfolio optimization. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 67–87CrossRef
Zurück zum Zitat Hutchinson J, Lo A, Poggio T (1994) A non-parametric approach to pricing and hedging derivative securities via learning networks. J Financ 49:851–889CrossRef Hutchinson J, Lo A, Poggio T (1994) A non-parametric approach to pricing and hedging derivative securities via learning networks. J Financ 49:851–889CrossRef
Zurück zum Zitat Izumi K (1999) An artificial market model of a foreign exchange market. Ph.D. Dissertation, Tokyo University Izumi K (1999) An artificial market model of a foreign exchange market. Ph.D. Dissertation, Tokyo University
Zurück zum Zitat Kaastra I, Boyd M (1996) Designing a neural network for forecasting financial and economic time series. Neurocomputing 10:215–236CrossRef Kaastra I, Boyd M (1996) Designing a neural network for forecasting financial and economic time series. Neurocomputing 10:215–236CrossRef
Zurück zum Zitat Kari L, Rozenberg G (2008) The many facets of natural computing. Commun ACM 51(10):72–83CrossRef Kari L, Rozenberg G (2008) The many facets of natural computing. Commun ACM 51(10):72–83CrossRef
Zurück zum Zitat Keber C (2000) Option valuation with the genetic programming approach. In: Proceedings of the sixth international conference. MIT Press, Cambridge, MA, pp 689–703 Keber C (2000) Option valuation with the genetic programming approach. In: Proceedings of the sixth international conference. MIT Press, Cambridge, MA, pp 689–703
Zurück zum Zitat Keber C (2002) Evolutionary computation in option pricing: determining implied volatilities based on American put options. In: Chen S-H (eds) Evolutionary computation in economics and finance. Physica-Verlag, New York, pp 399–415 Keber C (2002) Evolutionary computation in option pricing: determining implied volatilities based on American put options. In: Chen S-H (eds) Evolutionary computation in economics and finance. Physica-Verlag, New York, pp 399–415
Zurück zum Zitat Keber C, Schuster M (2001) Evolutionary computation and the Vega risk of American put options. IEEE Trans Neural Netw 12(4):704–715CrossRef Keber C, Schuster M (2001) Evolutionary computation and the Vega risk of American put options. IEEE Trans Neural Netw 12(4):704–715CrossRef
Zurück zum Zitat Kim J, Byun S (2005) A parallel Monte Carlo simulation on cluster systems for financial derivatives pricing. In: CEC 2005: Proceedings of the IEEE international conference on evolutionary computation, Edinburgh, UK, September 2005. IEEE Press Piscataway, NJ Kim J, Byun S (2005) A parallel Monte Carlo simulation on cluster systems for financial derivatives pricing. In: CEC 2005: Proceedings of the IEEE international conference on evolutionary computation, Edinburgh, UK, September 2005. IEEE Press Piscataway, NJ
Zurück zum Zitat Kiviluoto K, Bergius P (1998) Maps for analysing failures of small and medium-sized enterprises. In: Deboeck G, Kohonen T (eds) Visual explorations in finance with self-organizing maps. Springer-Verlag, Berlin, pp 59–71 Kiviluoto K, Bergius P (1998) Maps for analysing failures of small and medium-sized enterprises. In: Deboeck G, Kohonen T (eds) Visual explorations in finance with self-organizing maps. Springer-Verlag, Berlin, pp 59–71
Zurück zum Zitat Kumar N, Krovi R, Rajagopalan B (1997) Financial decision support with hybrid genetic and neural based modeling tools. Eur J Oper Res 103(2):339–349MATHCrossRef Kumar N, Krovi R, Rajagopalan B (1997) Financial decision support with hybrid genetic and neural based modeling tools. Eur J Oper Res 103(2):339–349MATHCrossRef
Zurück zum Zitat Kwon Y-K, Moon B-R (2004) Evolutionary ensemble for stock prediction. In: GECCO 2004: Proceedings of the genetic and evolutionary computation conference, Seattle, WA, June 2004. Lecture notes in computer science, vol 3103. Springer, New York, pp 1120–1113 Kwon Y-K, Moon B-R (2004) Evolutionary ensemble for stock prediction. In: GECCO 2004: Proceedings of the genetic and evolutionary computation conference, Seattle, WA, June 2004. Lecture notes in computer science, vol 3103. Springer, New York, pp 1120–1113
Zurück zum Zitat Larkin F, Ryan C (2008) Good news: using news feeds with genetic programming to predict stock prices. In: O'Neill M et al. (eds) EuroGP 2008: Proceedings of the 11th European conference on genetic programming, Napoli, Italy, March 2008. Lecture notes in computer science, vol 4971. Springer, Berlin, pp 49–60 Larkin F, Ryan C (2008) Good news: using news feeds with genetic programming to predict stock prices. In: O'Neill M et al. (eds) EuroGP 2008: Proceedings of the 11th European conference on genetic programming, Napoli, Italy, March 2008. Lecture notes in computer science, vol 4971. Springer, Berlin, pp 49–60
Zurück zum Zitat LeBaron B (2002) Building the Santa Fe artificial stock market. Working Paper, Brandeis University, June 2002 LeBaron B (2002) Building the Santa Fe artificial stock market. Working Paper, Brandeis University, June 2002
Zurück zum Zitat Lee H, Lee J, Yoon Y, Kim S (2005) Coherent risk measure using feedforward neural networks. In: ISNN 2005, Chongqing, China, May–June 2005. Lecture notes in computer science, vol 3497. Springer, Berlin, pp 904–909 Lee H, Lee J, Yoon Y, Kim S (2005) Coherent risk measure using feedforward neural networks. In: ISNN 2005, Chongqing, China, May–June 2005. Lecture notes in computer science, vol 3497. Springer, Berlin, pp 904–909
Zurück zum Zitat Lee C, Quek C, Maskell D (2006) A brain-inspired fuzzy neuro-predictor for bank failure analysis. In: CEC 2006: Proceedings of the IEEE international conference on evolutionary computation, Vancouver, BC, Canada, July 2006. IEEE Press, Piscataway, NJ, pp 7927–7934 Lee C, Quek C, Maskell D (2006) A brain-inspired fuzzy neuro-predictor for bank failure analysis. In: CEC 2006: Proceedings of the IEEE international conference on evolutionary computation, Vancouver, BC, Canada, July 2006. IEEE Press, Piscataway, NJ, pp 7927–7934
Zurück zum Zitat Leung K, Cheong F, Cheong C (2007) Consumer credit scoring using an artificial immune system algorithm. In: CEC 2007: Proceedings of the IEEE international conference on evolutionary computation, Singapore, September 2007. IEEE Press, Piscataway, NJ, pp 3377–3384 Leung K, Cheong F, Cheong C (2007) Consumer credit scoring using an artificial immune system algorithm. In: CEC 2007: Proceedings of the IEEE international conference on evolutionary computation, Singapore, September 2007. IEEE Press, Piscataway, NJ, pp 3377–3384
Zurück zum Zitat Li J (2001) FGP: a genetic programming based tool for financial forecasting. Ph.D. Thesis, University of Essex Li J (2001) FGP: a genetic programming based tool for financial forecasting. Ph.D. Thesis, University of Essex
Zurück zum Zitat Lim M, Coggins R (2005) Optimal trade execution: an evolutionary approach. In: CEC 2005: Proceedings of the IEEE international conference on evolutionary computation, Edinburgh, UK, September 2005. IEEE Press, Piscataway, NJ, pp 1045–1052 Lim M, Coggins R (2005) Optimal trade execution: an evolutionary approach. In: CEC 2005: Proceedings of the IEEE international conference on evolutionary computation, Edinburgh, UK, September 2005. IEEE Press, Piscataway, NJ, pp 1045–1052
Zurück zum Zitat Lipinski P (2008) Evolutionary strategies for building risk-optimal portfolios. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 53–65CrossRef Lipinski P (2008) Evolutionary strategies for building risk-optimal portfolios. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 53–65CrossRef
Zurück zum Zitat Loraschi A, Tettamanzi A, Tomassini M, Verda P (1995) Distributed genetic algorithms with an application to portfolio selection problems. In: Pearson D, Steele N, Albrecht R (eds) Artificial neural networks and genetic algorithms. Springer, Berlin, pp 384–387CrossRef Loraschi A, Tettamanzi A, Tomassini M, Verda P (1995) Distributed genetic algorithms with an application to portfolio selection problems. In: Pearson D, Steele N, Albrecht R (eds) Artificial neural networks and genetic algorithms. Springer, Berlin, pp 384–387CrossRef
Zurück zum Zitat Malliaris M, Salchenberger L (1993) A neural network model for estimating option prices. Appl Intell 3(3):193–206CrossRef Malliaris M, Salchenberger L (1993) A neural network model for estimating option prices. Appl Intell 3(3):193–206CrossRef
Zurück zum Zitat Maringer D (2008) Constrained index tracking under loss aversion using differential evolution. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 7–24CrossRef Maringer D (2008) Constrained index tracking under loss aversion using differential evolution. In: Brabazon A, O'Neill M (eds) Natural computing in computational finance. Springer, Berlin, pp 7–24CrossRef
Zurück zum Zitat Markose S, Tsang E, Er H (2002) Evolutionary decision trees for stock index options and futures arbitrage. In: Chen S-H (eds) Genetic algorithms and genetic programming in computational finance. Kluwer Academic, Norwell, MA, pp 281–308CrossRef Markose S, Tsang E, Er H (2002) Evolutionary decision trees for stock index options and futures arbitrage. In: Chen S-H (eds) Genetic algorithms and genetic programming in computational finance. Kluwer Academic, Norwell, MA, pp 281–308CrossRef
Zurück zum Zitat Markowitz H (1952) Portfolio selection. J Financ 1(7):77–91 Markowitz H (1952) Portfolio selection. J Financ 1(7):77–91
Zurück zum Zitat Markowitz H (1959) Portfolio selection: efficient diversification of investments. Wiley, New York Markowitz H (1959) Portfolio selection: efficient diversification of investments. Wiley, New York
Zurück zum Zitat Marrison C (2002) The fundamentals of risk measurement. McGraw-Hill, New York Marrison C (2002) The fundamentals of risk measurement. McGraw-Hill, New York
Zurück zum Zitat McKee T, Lensberg T (2002) Genetic programming and rough sets: a hybrid approach to bankruptcy classification. Eur J Oper Res 138:436–451MATHCrossRef McKee T, Lensberg T (2002) Genetic programming and rough sets: a hybrid approach to bankruptcy classification. Eur J Oper Res 138:436–451MATHCrossRef
Zurück zum Zitat Moral-Escudero R, Ruiz-Torrubiano R, Suarez A (2006) Selection of optimal investment portfolios with cardinality constraints. In: CEC 2006: Proceedings of the IEEE international conference on evolutionary computation, Vancouver, BC, Canada, July 2006. IEEE Press, Piscataway, NJ, pp 8551–8557 Moral-Escudero R, Ruiz-Torrubiano R, Suarez A (2006) Selection of optimal investment portfolios with cardinality constraints. In: CEC 2006: Proceedings of the IEEE international conference on evolutionary computation, Vancouver, BC, Canada, July 2006. IEEE Press, Piscataway, NJ, pp 8551–8557
Zurück zum Zitat Mutchler JF (1985) A multivariate analysis of the auditor's going-concern opinion decision. J Account Res 23(2):668–682CrossRef Mutchler JF (1985) A multivariate analysis of the auditor's going-concern opinion decision. J Account Res 23(2):668–682CrossRef
Zurück zum Zitat Neely C, Weller P (2002) Using a genetic program to predict exchange rate volatility. In: Chen S-H (eds) Genetic algorithms and genetic programming in computational finance. Kluwer Academic, Norwell, MA, pp 263–278CrossRef Neely C, Weller P (2002) Using a genetic program to predict exchange rate volatility. In: Chen S-H (eds) Genetic algorithms and genetic programming in computational finance. Kluwer Academic, Norwell, MA, pp 263–278CrossRef
Zurück zum Zitat Neely C, Weller P, Dittmar R (1997) Is technical analysis in the foreign exchange market profitable? A genetic programming approach. J Financ Quant Anal 32(4):405–428CrossRef Neely C, Weller P, Dittmar R (1997) Is technical analysis in the foreign exchange market profitable? A genetic programming approach. J Financ Quant Anal 32(4):405–428CrossRef
Zurück zum Zitat Noe T, Wang J (2002) The self-evolving logic of financial claim prices. In: Chen S-H (eds) Genetic algorithms and genetic programming in computational finance. Kluwer, Norwell, MA, pp 249–262CrossRef Noe T, Wang J (2002) The self-evolving logic of financial claim prices. In: Chen S-H (eds) Genetic algorithms and genetic programming in computational finance. Kluwer, Norwell, MA, pp 249–262CrossRef
Zurück zum Zitat Ohlson J (1980) Financial ratios and the probabilistic prediction of bankruptcy. J Account Res 18(1):109–131MathSciNetCrossRef Ohlson J (1980) Financial ratios and the probabilistic prediction of bankruptcy. J Account Res 18(1):109–131MathSciNetCrossRef
Zurück zum Zitat O'Neill M, Ryan C (2001) Grammatical evolution. IEEE Trans Evol Comput 5(4):349–358CrossRef O'Neill M, Ryan C (2001) Grammatical evolution. IEEE Trans Evol Comput 5(4):349–358CrossRef
Zurück zum Zitat O'Neill M, Ryan C (2003) Grammatical evolution: evolutionary automatic programming in an arbitrary language. Kluwer, Boston, MAMATH O'Neill M, Ryan C (2003) Grammatical evolution: evolutionary automatic programming in an arbitrary language. Kluwer, Boston, MAMATH
Zurück zum Zitat Orito Y, Takeda M, Iimura K, Yamazaki G (2007) Evaluating the efficiency if index fund selections over the fund's future period. In: Chen S-H, Wang P, Kuo T-W (eds) Computational intelligence in economics and finance. Springer, New York, pp 157–168CrossRef Orito Y, Takeda M, Iimura K, Yamazaki G (2007) Evaluating the efficiency if index fund selections over the fund's future period. In: Chen S-H, Wang P, Kuo T-W (eds) Computational intelligence in economics and finance. Springer, New York, pp 157–168CrossRef
Zurück zum Zitat Palepu K (1986) Predicting takeover targets: a methodological and empirical analysis. J Account Econ 8:3–25CrossRef Palepu K (1986) Predicting takeover targets: a methodological and empirical analysis. J Account Econ 8:3–25CrossRef
Zurück zum Zitat Pavlidis N, Pavlidis E, Epitropakis M, Plagianakos V, Vrahatis M (2007) Computational intelligence algorithms for risk-adjusted trading strategies. In: CEC 2007: Proceedings of the 2007 congress on evolutionary computation, Singapore, September 2007. IEEE Press, Piscataway, NJ, pp 540–547 Pavlidis N, Pavlidis E, Epitropakis M, Plagianakos V, Vrahatis M (2007) Computational intelligence algorithms for risk-adjusted trading strategies. In: CEC 2007: Proceedings of the 2007 congress on evolutionary computation, Singapore, September 2007. IEEE Press, Piscataway, NJ, pp 540–547
Zurück zum Zitat Quintana D, Luque C, Isasi P (2005) Evolutionary rule-based system for IPO underpricing prediction. In: GECCO 2005: Proceedings of the genetic and evolutionary computation conference, Washington DC, June 2005. ACM, New York, pp 983–989 Quintana D, Luque C, Isasi P (2005) Evolutionary rule-based system for IPO underpricing prediction. In: GECCO 2005: Proceedings of the genetic and evolutionary computation conference, Washington DC, June 2005. ACM, New York, pp 983–989
Zurück zum Zitat Rege U (1984) Accounting ratios to locate take-over targets. J Bus Financ Account 11(3):301–311CrossRef Rege U (1984) Accounting ratios to locate take-over targets. J Bus Financ Account 11(3):301–311CrossRef
Zurück zum Zitat Schaffer J (1984) Multiple objective optimization with vector evaluated genetic algorithms. Ph.D. Thesis, Vanderbilt University Schaffer J (1984) Multiple objective optimization with vector evaluated genetic algorithms. Ph.D. Thesis, Vanderbilt University
Zurück zum Zitat Schlottmann F, Seese D (2004) Financial applications of multi-objective evolutionary algorithms: recent developments and future research directions. In: Coello Coello C, Lamont G (eds) Applications of multi-objective evolutionary algorithms. World Scientific, Singapore, pp 627–652CrossRef Schlottmann F, Seese D (2004) Financial applications of multi-objective evolutionary algorithms: recent developments and future research directions. In: Coello Coello C, Lamont G (eds) Applications of multi-objective evolutionary algorithms. World Scientific, Singapore, pp 627–652CrossRef
Zurück zum Zitat Serrano-Cina C (1996) Self organizing neural networks for financial diagnosis. Decis Support Syst 17(3):227–238CrossRef Serrano-Cina C (1996) Self organizing neural networks for financial diagnosis. Decis Support Syst 17(3):227–238CrossRef
Zurück zum Zitat Shapcott J (1992) Index tracking: genetic algorithms for investment portfolio selection. Technical report, EPCC-SS92-24, Edinburgh Parallel Computing Centre Shapcott J (1992) Index tracking: genetic algorithms for investment portfolio selection. Technical report, EPCC-SS92-24, Edinburgh Parallel Computing Centre
Zurück zum Zitat Shoaf J, Foster J (1998) The efficient set GA for stock portfolios. In: CEC 98: Proceedings of the IEEE international conference on evolutionary computation, Anchorage, AK, May 1998. IEEE Press, Piscataway, NJ, pp 354–359 Shoaf J, Foster J (1998) The efficient set GA for stock portfolios. In: CEC 98: Proceedings of the IEEE international conference on evolutionary computation, Anchorage, AK, May 1998. IEEE Press, Piscataway, NJ, pp 354–359
Zurück zum Zitat Sound Practices for Hedge Fund Managers (2000) the Managed Funds Association (MFA), New York, p 16 Sound Practices for Hedge Fund Managers (2000) the Managed Funds Association (MFA), New York, p 16
Zurück zum Zitat Stephens CR, Sukumar R (2006) An introduction to datamining. In: Grover R, Vriens M (eds) The handbook of market research do's and don'ts. Sage, Thousand Oaks, CA Stephens CR, Sukumar R (2006) An introduction to datamining. In: Grover R, Vriens M (eds) The handbook of market research do's and don'ts. Sage, Thousand Oaks, CA
Zurück zum Zitat Streichert F, Tanaka-Yamawaki M (2006) The effect of local search on the constrained portfolio selection problem. In: CEC 2006: Proceedings of the IEEE international conference on evolutionary computation, Vancouver, BC, Canada, July 2006. IEEE Press Piscataway, NJ, pp 8537–8543 Streichert F, Tanaka-Yamawaki M (2006) The effect of local search on the constrained portfolio selection problem. In: CEC 2006: Proceedings of the IEEE international conference on evolutionary computation, Vancouver, BC, Canada, July 2006. IEEE Press Piscataway, NJ, pp 8537–8543
Zurück zum Zitat Streichert F, Ulmer H, Zell A (2004a) Evaluating a hybrid encoding and three crossover operators on the constrained portfolio selection problem. In: CEC 2004: Proceedings of the IEEE international conference on evolutionary computation, Portland, OR, June 2004. IEEE Press, Piscataway, NJ, pp 932–939 Streichert F, Ulmer H, Zell A (2004a) Evaluating a hybrid encoding and three crossover operators on the constrained portfolio selection problem. In: CEC 2004: Proceedings of the IEEE international conference on evolutionary computation, Portland, OR, June 2004. IEEE Press, Piscataway, NJ, pp 932–939
Zurück zum Zitat Streichert F, Ulmer H, Zell A (2004b) Comparing discrete and continuous genotypes on the constrained portfolio selection problem. In: GECCO 2004: Proceedings of the genetic and evolutionary computation conference, Seattle, WA, June 2004. Springer, Berlin, pp 1239–1250 Streichert F, Ulmer H, Zell A (2004b) Comparing discrete and continuous genotypes on the constrained portfolio selection problem. In: GECCO 2004: Proceedings of the genetic and evolutionary computation conference, Seattle, WA, June 2004. Springer, Berlin, pp 1239–1250
Zurück zum Zitat Subbu R, Bonissone P, Eklund N, Bollapragada S, Chalermkraivuth K (2005) Multiobjective financial portfolio design: a hybrid evolutionary approach. In: CEC 2005: Proceedings of the IEEE international conference on evolutionary computation, Edinburgh, UK, September 2005. IEEE Press, Piscataway, NJ, pp 2429–2436 Subbu R, Bonissone P, Eklund N, Bollapragada S, Chalermkraivuth K (2005) Multiobjective financial portfolio design: a hybrid evolutionary approach. In: CEC 2005: Proceedings of the IEEE international conference on evolutionary computation, Edinburgh, UK, September 2005. IEEE Press, Piscataway, NJ, pp 2429–2436
Zurück zum Zitat Thomas J, Sycara K (2002) GP and the predictive power of internet message traffic. In: Chen S-H (eds) Genetic algorithms and genetic programming in computational finance. Kluwer Academic, Norwell, MA, pp 81–102CrossRef Thomas J, Sycara K (2002) GP and the predictive power of internet message traffic. In: Chen S-H (eds) Genetic algorithms and genetic programming in computational finance. Kluwer Academic, Norwell, MA, pp 81–102CrossRef
Zurück zum Zitat Thompson D, Thompson S, Brabazon A (2007) Predicting going concern audit qualification using neural networks. In: ICAI'07: Proceedings of the 2007 international conference on artificial intelligence. CSEA Press, Las Vegas, NV, June 2007 Thompson D, Thompson S, Brabazon A (2007) Predicting going concern audit qualification using neural networks. In: ICAI'07: Proceedings of the 2007 international conference on artificial intelligence. CSEA Press, Las Vegas, NV, June 2007
Zurück zum Zitat Trigueros J (1999) Extracting earnings information from financial statements via genetic algorithms. In: Proceedings of the 1999 IEEE international conference on computational intelligence for financial engineering, New York, March 1999. IEEE Press, Piscataway, NJ, pp 281–296 Trigueros J (1999) Extracting earnings information from financial statements via genetic algorithms. In: Proceedings of the 1999 IEEE international conference on computational intelligence for financial engineering, New York, March 1999. IEEE Press, Piscataway, NJ, pp 281–296
Zurück zum Zitat Trippi RR, Turban E (1993) Neural networks in finance and investing. McGraw-Hill, New York Trippi RR, Turban E (1993) Neural networks in finance and investing. McGraw-Hill, New York
Zurück zum Zitat Tsang E, Li J (2002) EDDIE for financial forecasting. In: Chen S-H (ed) Genetic algorithms and genetic programming in computational finance. Kluwer Academic, Norwell, MA, pp 161–174CrossRef Tsang E, Li J (2002) EDDIE for financial forecasting. In: Chen S-H (ed) Genetic algorithms and genetic programming in computational finance. Kluwer Academic, Norwell, MA, pp 161–174CrossRef
Zurück zum Zitat Tsang E, Martinez-Jaramillo S (2004) Computational finance. IEEE Computational Intelligence Society Newsletter, August 8–13, 2004 Tsang E, Martinez-Jaramillo S (2004) Computational finance. IEEE Computational Intelligence Society Newsletter, August 8–13, 2004
Zurück zum Zitat Tung W, Quek C (2005) GenSoOPATS: a brain-inspired dynamically evolving option pricing model and arbitrage system. In: CEC 2005: Proceedings of the IEEE international conference on evolutionary computation, Edinburgh, UK, September 2005. IEEE Press, Piscataway, NJ, pp 1722–1729 Tung W, Quek C (2005) GenSoOPATS: a brain-inspired dynamically evolving option pricing model and arbitrage system. In: CEC 2005: Proceedings of the IEEE international conference on evolutionary computation, Edinburgh, UK, September 2005. IEEE Press, Piscataway, NJ, pp 1722–1729
Zurück zum Zitat Uludag G et al. (2007) Comparison of evolutionary techniques for value-at-risk calculation. In: Proceedings of EvoWorkshops 2007, Valencia, Spain, April 2007. Lecture notes in computer science, vol 4448, pp 218–227 Uludag G et al. (2007) Comparison of evolutionary techniques for value-at-risk calculation. In: Proceedings of EvoWorkshops 2007, Valencia, Spain, April 2007. Lecture notes in computer science, vol 4448, pp 218–227
Zurück zum Zitat Vapnik V (1995) The nature of statistical learning theory. Springer-Verlag, New YorkMATH Vapnik V (1995) The nature of statistical learning theory. Springer-Verlag, New YorkMATH
Zurück zum Zitat Varetto F (1998) Genetic algorithms in the analysis of insolvency risk. J Bank Financ 22(10):1421–1439CrossRef Varetto F (1998) Genetic algorithms in the analysis of insolvency risk. J Bank Financ 22(10):1421–1439CrossRef
Zurück zum Zitat Vedarajan G, Chan L, Goldberg D (1997) Investment portfolio optimization using genetic algorithms. In: Koza J (ed) Late breaking papers at the genetic programming 1997, Stanford, CA, July 1997, pp 256–263 Vedarajan G, Chan L, Goldberg D (1997) Investment portfolio optimization using genetic algorithms. In: Koza J (ed) Late breaking papers at the genetic programming 1997, Stanford, CA, July 1997, pp 256–263
Zurück zum Zitat Wang C, Zhao X, Kang Li (2004) Business failure prediction using modified ants algorithm. In: Chen S-H, Wang P, Kuo T-W (eds) Computational intelligence in economics and finance. Springer, Berlin Wang C, Zhao X, Kang Li (2004) Business failure prediction using modified ants algorithm. In: Chen S-H, Wang P, Kuo T-W (eds) Computational intelligence in economics and finance. Springer, Berlin
Zurück zum Zitat White A (1998) A genetic adaptive neural network approach to pricing options: a simulation analysis. J Comput Intell Financ 6(2):13–23 White A (1998) A genetic adaptive neural network approach to pricing options: a simulation analysis. J Comput Intell Financ 6(2):13–23
Zurück zum Zitat Wilson N, Chong K, Peel M (1995) Neural network simulation and the prediction of corporate outcomes: some empirical findings. Int J Econ Bus 2(1):31–50CrossRef Wilson N, Chong K, Peel M (1995) Neural network simulation and the prediction of corporate outcomes: some empirical findings. Int J Econ Bus 2(1):31–50CrossRef
Zurück zum Zitat Wong BK, Selvi Y (1998) Neural network applications in finance: a review and analysis of literature. Inform Manag 34(3):129–140CrossRef Wong BK, Selvi Y (1998) Neural network applications in finance: a review and analysis of literature. Inform Manag 34(3):129–140CrossRef
Zurück zum Zitat Wong B, Lai V, Lam J (2000) A bibliography of neural network business applications research: 1994–1998. Comput Oper Res 27:1045–1076MATHCrossRef Wong B, Lai V, Lam J (2000) A bibliography of neural network business applications research: 1994–1998. Comput Oper Res 27:1045–1076MATHCrossRef
Zurück zum Zitat Yin Z, Brabazon A, O'Sullivan C (2007) Adaptive genetic programming for option pricing. In: GECCO 2007: Proceedings of the genetic and evolutionary computation conference, London, England, July 2007. ACM, New York, pp 2588–2594 Yin Z, Brabazon A, O'Sullivan C (2007) Adaptive genetic programming for option pricing. In: GECCO 2007: Proceedings of the genetic and evolutionary computation conference, London, England, July 2007. ACM, New York, pp 2588–2594
Zurück zum Zitat Yobas M, Crook J, Ross P (2000) Credit scoring using neural and evolutionary techniques. IMA J Math Appl Bus Ind 11:111–125MathSciNetMATH Yobas M, Crook J, Ross P (2000) Credit scoring using neural and evolutionary techniques. IMA J Math Appl Bus Ind 11:111–125MathSciNetMATH
Zurück zum Zitat Zaiyi G, Quek C, Maskell D (2006) FCMAC-AARS: a novel FNN architecture for stock market prediction and trading. In: CEC 2006: Proceedings of the IEEE international conference on evolutionary computation, Vancouver, BC, Canada, July 2006. IEEE Press, Piscataway, NJ, pp 8544–8550 Zaiyi G, Quek C, Maskell D (2006) FCMAC-AARS: a novel FNN architecture for stock market prediction and trading. In: CEC 2006: Proceedings of the IEEE international conference on evolutionary computation, Vancouver, BC, Canada, July 2006. IEEE Press, Piscataway, NJ, pp 8544–8550
Zurück zum Zitat Zenios SA (2008) Practical financial optimization. Wiley-Blackwell, Chichester, UK Zenios SA (2008) Practical financial optimization. Wiley-Blackwell, Chichester, UK
Metadaten
Titel
Natural Computing in Finance – A Review
verfasst von
Anthony Brabazon
Jing Dang
Ian Dempsey
Michael O'Neill
David Edelman
Copyright-Jahr
2012
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-540-92910-9_51

Premium Partner