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MLP, CNN, LSTM and Hybrid SVM for Stock Index Forecasting Task to INDU and FTSE100

Zong, Xiangyu - 2020

The aim of this paper is to investigate the Support Vector Machine (SVM), the Binary Gravity Search Algorithm combined Support Vector Machine (BGSA-SVM), the Multi-layer Perceptron (MLP), the Convolution Neural Network (CNN) and the Long Short-Term Memory (LSTM) neural network, when applied to...

Persistent link: https://www.econbiz.de/10012829102

China's missing pigs : correcting China's hog inventory data using a machine learning approach

Shao, Yongtong; Li, Minghao; Hayes, Dermot James; … - 2020

Persistent link: https://www.econbiz.de/10012387933

Forecasting stock closing prices with an application to airline company data

Xu, Xu; Zhang, Yixiang; McGrory, Clare Anne; Wu, Jinran; … - In: Data science and management : DSM 6 (2023) 4, pp. 239-246

Forecasting stock market movements is a challenging task from the practitioners' point of view. We explore how model selection via the least absolute shrinkage and selection operator (LASSO) approach can be better used to forecast stock closing prices using real-world datasets of daily stock...

Persistent link: https://www.econbiz.de/10014518025

The View from the County: China's Regional Inequalities of Socio-Economic Development

Zhang, Peng; Xu, Mann - In: Annals of Economics and Finance 12 (2011) 1, pp. 183-198

The central contribution of this paper is to provide a description and analysis of spatial inequalities in China at the … sophisticated account of China's inequalities in the 2000 decade. The result shows that fiscal revenue/expenditure, financial loans …

Persistent link: https://www.econbiz.de/10009195448

A Spatial Optimization Model for Sustainable Land Use at Regional Level in China: A Case Study for Poyang Lake Region

Chen, Wenbo; Carsjens, Gerrit J.; Zhao, Lihong; Li, Haifeng - In: Sustainability 7 (2014) 1, pp. 35-55

Economic growth in China is accompanied by many problems, such as rapid deterioration of the environment and a sharp … decline in the area of arable land. China’s current land-use planning system fails to deal with these problems, especially at … been applied in a case study for the Poyang Lake Region, Jiangxi Province in China. Based on predictions of the demand of …

Persistent link: https://www.econbiz.de/10011105144

On a strategy to develop robust and simple tariffs from motor vehicle insurance data

Christmann, Andreas - 2004

The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features. The results of the strategy are a basis to develop insurance tariffs. The strategy is applied...

Persistent link: https://www.econbiz.de/10010516923

A patent search strategy based on machine learning for the emerging field of service robotics

Kreuchauff, Florian Heiko; Korzinov, Vladimir V. - 2015

Emerging technologies are in the core focus of supra-national innovation policies. These strongly rely on credible data bases for being effective and efficient. However, since emerging technologies are not yet part of any official industry, patent or trademark classification systems, delineating...

Persistent link: https://www.econbiz.de/10011342183

Application of machine learning in quantitative investment strategies on global stock markets

Grudniewicz, Jan; Ślepaczuk, Robert - 2021

Persistent link: https://www.econbiz.de/10012816704

Forecasting mid-price movement of bitcoin futures using machine learning

Akyildirim, Erdinc; Cepni, Oguzhan; Corbet, Shaen; … - 2020

Persistent link: https://www.econbiz.de/10013041345

Using polls to forecast popular vote share for US presidential elections 2016 and 2020 : an optimal forecast combination based on ensemble empirical model

Easaw, Joshy Z.; Fang, Yongmei; Heravi, Saeed M. - 2021

This study introduces the Ensemble Empirical Mode Decomposition (EEMD) technique to forecasting popular vote share. The technique is useful when using polling data, which is pertinent when none of the main candidates is the incumbent. Our main interest in this study is the short- and long-term...

Persistent link: https://www.econbiz.de/10013177191

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