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Stock market analysis : a review and taxonomy of prediction techniques

Shah, Dev; Isah, Haruna; Zulkernine, Farhana - In: International Journal of Financial Studies : open … 7 (2019) 2/26, pp. 1-22

Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that … stock market prediction methods. We then focus on some of the research achievements in stock analysis and prediction. We …

Persistent link: https://www.econbiz.de/10012038738

Forecasting firm performance with machine learning : evidence from Japanese firm-level data

Miyakawa, Daisuke; Miyauchi, Yuhei; Perez, Christian - 2017

Persistent link: https://www.econbiz.de/10012132256

Shocks to supply chain networks and firm dynamics : an application of double machine learning

Miyakawa, Daisuke - 2019

Persistent link: https://www.econbiz.de/10012134913

Targeting with machine learning : an application to a tax rebate program in Italy

Andini, Monica; Ciani, Emanuele; De Blasio, Guido; … - In: Journal of economic behavior & organization : JEBO 156 (2018), pp. 86-102

Persistent link: https://www.econbiz.de/10012102363

MPA-IBM project SAFER : sense-making analytics for Maritime event recognition

Yeo, Gavin; Lim, Shiau Hong; Wynter, Laura M.; Hassan, Hifaz - In: INFORMS journal on applied analytics 49 (2019) 4, pp. 269-280

Persistent link: https://www.econbiz.de/10012107647

The predictability of the exchange rate when combining machine learning and fundamental models

Zhang, Yuchen; Hamori, Shigeyuki - In: Journal of risk and financial management : JRFM 13 (2020) 3/48, pp. 1-16

prediction performance of random walk without drift. More specifically, this paper applies the random forest, support vector …

Persistent link: https://www.econbiz.de/10012174126

The promise and pitfalls of conflict prediction : evidence from Colombia and Indonesia

Blattman, Christopher; Dube, Oeindrila; Bazzi, Samuel; … - 2019

Persistent link: https://www.econbiz.de/10012177990

How well can the migration component of regional population change be predicted? : a machine learning approach applied to German municipalities

Weber, Hannes - In: Comparative population studies : CPoS ; open acess … 45 (2020), pp. 143-178

For several decades, demographic forecasts had predicted that the majority of Germany's cities and rural areas would experience population decline in the early 21st century. Instead, recent trends show a growing population size in three out of every four German districts. As a result, there are...

Persistent link: https://www.econbiz.de/10012198979

Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm

Samadianfard, Saeed; Hashemi, Sajjad; Kargar, Katayoun; … - In: Energy reports 6 (2020), pp. 1147-1159

models. It was concluded that the WOA optimization algorithm could improve the prediction accuracy of the MLP model and may … be recommended for accurate wind speed prediction. …

Persistent link: https://www.econbiz.de/10012221074

A nearest neighbour extension to project duration forecasting with Artificial Intelligence

Wauters, Mathieu; Vanhoucke, Mario - In: European journal of operational research : EJOR 259 (2017) 3, pp. 1097-1111

Persistent link: https://www.econbiz.de/10011695542

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