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Modelling and trading the English stock market with new forecasting techniques

Karathanasopoulos, Andreas - In: Economics and Business Letters : EBL 5 (2016) 2, pp. 50-57

and nonlinear models when applied to the task of forecasting and trading the daily closing returns of the FTSE100 exchange …

Persistent link: https://www.econbiz.de/10011573208

Genetic algorithms in seasonal demand forecasting

Chodak, Grzegorz; Kwaśnicki, Witold - Volkswirtschaftliche Fakultät, … - 2000

The method of forecasting seasonal demand applying genetic algorithm is presented. Specific form of used demand …

Persistent link: https://www.econbiz.de/10009325664

Genetic algorithms in stock forecasting – deleting outliers

Kucharski, Adam - In: Operations Research and Decisions 1 (2008), pp. 35-45

This work presents a proposal of usage of genetic algorithm to short-term forecasting of price and volume quotations …

Persistent link: https://www.econbiz.de/10008764593

A genetic algorithm-based grey method for forecasting food demand after snow disasters: an empirical study

Wang, Zheng-Xin - In: Natural Hazards 68 (2013) 2, pp. 675-686

combined GM(1,1), Fourier series, and optimal parameters. The proposed forecasting method was used to predict three vegetables … proposed method has superior forecasting performance over traditional grey methods. Copyright Springer Science+Business Media …

Persistent link: https://www.econbiz.de/10010846592

Stock index forecasting based on a hybrid model

Wang, Ju-Jie; Wang, Jian-Zhou; Zhang, Zhe-George; Guo, … - In: Omega 40 (2012) 6, pp. 758-766

Forecasting the stock market price index is a challenging task. The exponential smoothing model (ESM), autoregressive …

Persistent link: https://www.econbiz.de/10010573981

Quantification of survey expectations by means of symbolic regression via genetic programming to estimate economic growth in Central and Eastern European economies

Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Eastern European economics 54 (2016) 2, pp. 171-189

Persistent link: https://www.econbiz.de/10011507863

Forecasting short-term electricity consumption using a semantics-based genetic programming framework : the South Italy case

Castelli, Mauro; Vanneschi, Leonardo; De Felice, Matteo - In: Energy economics 47 (2015), pp. 37-41

Persistent link: https://www.econbiz.de/10011527149

Easy, reliable method for mid-term demand forecasting based on the Bass model : a hybrid approach of NLS and OLS

Hong, Jungsik; Koo, Hoonyoung; Kim, Taegu - In: European journal of operational research : EJOR 248 (2016) 2, pp. 681-690

Persistent link: https://www.econbiz.de/10011409746

Evolutionary computation for macroeconomic forecasting

Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Computational economics 53 (2019) 2, pp. 833-849

Persistent link: https://www.econbiz.de/10012134879

Predicting daily oil prices : linear and non-linear models

Dbouk, Wassim; Jamali, Ibrahim - In: Research in international business and finance 46 (2018), pp. 149-165

Persistent link: https://www.econbiz.de/10011983600

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