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Using past violence and current news to predict changes in violence

Mueller, Hannes; Rauh, Christopher - 2022

Persistent link: https://www.econbiz.de/10013263446

Improving out-of-sample forecasts of stock price indexes with forecast reconciliation and clustering

Mattera, Raffaele; Athanasopoulos, George; Hyndman, Rob J. - 2023

Persistent link: https://www.econbiz.de/10014452575

Machine learning and the prediction of changes in profitability

Jones, Stewart; Moser, William J.; Wieland, Matthew M. - In: Contemporary accounting research : the journal of the … 40 (2023) 4, pp. 2643-2672

Persistent link: https://www.econbiz.de/10014443119

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

Stock market prediction, COVID-19 pandemic and neural networks : an SCG algorithm application

Goel, Himanshu; Som, Bhupender Kumar - In: Economia : revista da ANPEC 24 (2023) 1, pp. 134-146

Purpose This study aims to predict the Indian stock market (Nifty 50) by employing macroeconomic variables as input variables identified from the literature for two sub periods, i.e. the pre-coronavirus disease 2019 (COVID-19) (June 2011-February 2020) and during the COVID-19 (March 2020-June...

Persistent link: https://www.econbiz.de/10014418102

Prediction and analysis of customer complaints using machine learning techniques

Alarifi, Ghadah; Rahman, Mst Farjana; Hossain, Md Shamim - In: International journal of e-business research : IJEBR ; … 19 (2023) 1, pp. 1-25

Persistent link: https://www.econbiz.de/10015051113

Competition in the retail market of consumer packaged goods

Li, Wei - 2020

Persistent link: https://www.econbiz.de/10012546972

Boosting renewable energy technology uptake in Ireland : a machine learning approach

Mukherjee, Sanghamitra Chattopadhyay - 2020

renewable energy technology adoption. It provides new insights on factors influencing uptake using nearest neighbour and random … performance, these models serve as useful baseline prediction tools. Data is sourced from an Irish survey of consumer perceptions … adoption their country is currently at. Accordingly, a holistic approach to tackling low adoption must include measures that …

Persistent link: https://www.econbiz.de/10012294628

unFEAR : unsupervised feature extraction clustering with an application to crisis regimes classification

Chan-Lau, Jorge A.; Wang, Ran - 2020

cluster crisis frequency. Moreover, unFEAR could serve as a first step towards developing cluster-specific crisis prediction …

Persistent link: https://www.econbiz.de/10012392653

Multivariate macroeconomic forecasting : from DSGE and BVAR to artificial neural networks

Tänzer, Alina - 2024

This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools. Specifically, a fully connected feed forward nonlinear autoregressive neural network (ANN) is contrasted to a well established dynamic stochastic general equilibrium (DSGE)...

Persistent link: https://www.econbiz.de/10014532351

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