Title: A scientometrics review on combining forecasts in financial markets

Authors: Jen Sim Ho; Wei Chong Choo; Choy Leong Yee; Wei Theng Lau; Yuruixian Zhang; Cheong Kin Wan

Addresses: School of Business and Economics, Universiti Putra Malaysia, 43400 Seri Kembangan, Selangor, Malaysia ' School of Business and Economics, Universiti Putra Malaysia, 43400 Seri Kembangan, Selangor, Malaysia; Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia, Malaysia ' School of Business and Economics, Universiti Putra Malaysia, 43400 Seri Kembangan, Selangor, Malaysia ' School of Business and Economics, Universiti Putra Malaysia, 43400 Seri Kembangan, Selangor, Malaysia ' School of Business and Economics, Universiti Putra Malaysia, 43400 Seri Kembangan, Selangor, Malaysia ' Faculty of Business and Management, UCSI University, Jalan Puncak Menara Gading, Taman Connaught, 56000 Cheras, Federal Territory of Kuala Lumpur, Malaysia

Abstract: Combining forecasts has been widely applied as one of the approaches to increase the predictive power over the past few decades. With the promising results, it has seen an explosion in the number of articles on combining forecasts, of which review of the literature become resources taxing and causes researcher's cognitive burden. This study applies a scientometrics analysis to demonstrate the intellectual maps about the networking of research work through co-citation analysis and collaboration analysis. A total of 184 publications in 1965 to 2020 related to combining forecast in financial markets were obtained from WoS database and were analysed. The keyword analysis identified five clusters of research: 1) model performance; 2) time series model error and volatility; 3) time series and tests; 4) forecast evaluation; 5) model efficiency in the combining research area and the evolution of combining forecasts over the study periods were also discussed. The visual mapping results provide an overview of combining forecast development which helps other researchers in formulating their research directions.

Keywords: scientometrics; combining forecast; financial.

DOI: 10.1504/IJBFMI.2023.131762

International Journal of Business Forecasting and Marketing Intelligence, 2023 Vol.8 No.3, pp.272 - 293

Received: 07 Apr 2022
Accepted: 09 Apr 2022
Published online: 30 Jun 2023 *

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