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An Analysis of the Performance of Genetic Programming for Realised Volatility Forecasting.

, , and . J. Artif. Intell. Soft Comput. Res., 6 (3): 155 (2016)

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A comparative study of the canonical genetic algorithm and a real-valued quantum-inspired evolutionary algorithm., , , and . Int. J. Intell. Comput. Cybern., 2 (3): 494-512 (2009)A genetic programming approach for delta hedging., , , and . Genet. Program. Evolvable Mach., 20 (1): 67-92 (2019)Non-linear Principal Component Analysis of the Implied Volatility Smile using a Quantum-inspired Evolutionary Algorithm., , , and . Natural Computing in Computational Finance, volume 100 of Studies in Computational Intelligence, Springer, (2008)Option pricing model calibration using a real-valued quantum-inspired evolutionary algorithm., , , and . GECCO, page 1983-1990. ACM, (2007)Realised volatility forecasting: A genetic programming approach., , , and . CEC, page 3305-3311. IEEE, (2015)Calibration of the VGSSDOption Pricing Model using a Quantum-inspired Evolutionary Algorithm., , , , and . Quantum Inspired Intelligent Systems, volume 121 of Studies in Computational Intelligence, Springer, (2008)Quantum-Inspired Evolutionary Algorithms for Calibration of the VG Option Pricing Model., , , and . EvoWorkshops, volume 4448 of Lecture Notes in Computer Science, page 189-198. Springer, (2007)A genetic programming approach for delta hedging., , , and . CEC, page 3312-3318. IEEE, (2015)Genetic Programming for Dynamic Environments, , , and . 2nd International Symposium Ädvances in Artificial Intelligence and Applications", 2, page 437--446. Wisla, Poland, (October 2007)An Analysis of the Performance of Genetic Programming for Realised Volatility Forecasting., , and . J. Artif. Intell. Soft Comput. Res., 6 (3): 155 (2016)