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A bibliometric analysis of machine learning econometrics in asset pricing

Zapata, Hector O.; Mukhopadhyay, Supratik - In: Journal of risk and financial management : JRFM 15 (2022) 11, pp. 1-17

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

Persistent link: https://www.econbiz.de/10013475217

Estimation of cross-lingual news similarities using text-mining methods

Wang, Zhouhao; Liu, Enda; Sakaji, Hiroki; Ito, Tomoki; … - In: Journal of risk and financial management : JRFM 11 (2018) 1, pp. 1-13

financial news articles have been proposed. Every second, innumerable text data, including all kinds news, reports, messages … languages such as Chinese, Japanese, French, etc. By taking advantage of multi-lingual text resources provided by Thomson … Reuters News, we developed two estimation algorithms for extracting cross-lingual news pairs from multilingual text resources …

Persistent link: https://www.econbiz.de/10011855132

A machine learning framework towards bank telemarketing prediction

Koumétio Tékouabou, Stéphane Cédric; Gherghina, … - In: Journal of risk and financial management : JRFM 15 (2022) 6, pp. 1-19

The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model is still a challenge that researchers seek to address. Despite advances in current work that surpass the limitations of previous ones, research still faces new challenges in...

Persistent link: https://www.econbiz.de/10013273676

Assessment of readiness of Croatian companies to ontroduce I4.0 technologies

Hrbić, Rajka; Grebenar, Tomislav - In: Journal of risk and financial management : JRFM 15 (2022) 12, pp. 1-24

The main topic of this paper is to estimate the possibility and inclination of Croatian companies towards technology and innovation as well as to analyze advantages, limitations and risks involved with this significant technological leap. We analyzed 7147 Croatian business entities operating in...

Persistent link: https://www.econbiz.de/10014284413

Empirical finance

Hamori, Shigeyuki - In: Journal of risk and financial management : JRFM 13 (2020) 1/6, pp. 1-3

The research field related to finance has made great progress in recent years due to the development of information … finance and one book review. The content is six articles on machine learning, five articles based on traditional econometric … with recent trends in finance research. This special issue provides a state-of-the-art overview of empirical finance from …

Persistent link: https://www.econbiz.de/10012173272

Conceptual framework : artificial intelligence and better entrepreneurial decision-making : the influence of customer preference, industry benchmark, and employee involvement in an...

Amoako, George Kofi; Omari, Paul; Kumi, Desmond Kwadjo; … - In: Journal of risk and financial management : JRFM 14 (2021) 12, pp. 1-20

Purpose: Technology initiatives are now incorporated into a wide range of business domains. The objective of this paper is to explore the possible effects that Artificial intelligence systems have on entrepreneurs’ decision-making, through the mediation of customer preference and industry...

Persistent link: https://www.econbiz.de/10012799442

Digital twin : financial technology's next frontier of robo-advisor

Muhammad Anshari; Mohammad Nabil Almunawar; Masairol Masri - In: Journal of risk and financial management : JRFM 15 (2022) 4, pp. 1-9

This research examines the concept of a robo-advisor with digital twin capabilities for personal financial management. Using an exploratory study, the researchers developed an interactive and interpretive model that analyses the most critical variables to consider when designing the next level...

Persistent link: https://www.econbiz.de/10013273003

A new look at the swing contract : from linear programming to particle swarm optimization

Behrndt, Tapio; Chen, Ren-Raw - In: Journal of risk and financial management : JRFM 15 (2022) 6, pp. 1-20

As the energy market has grown in importance in recent decades, researchers have paid increasing attention to swing option contracts. Early studies evaluated the swing contract as if it were a financial derivative contract, by ignoring its storage constraints. Aided by recent advances in...

Persistent link: https://www.econbiz.de/10013273599

Application of artificial intelligence in stock market forecasting : a critique, review, and research agenda

Chopra, Ritika; Sharma, Gagan Deep - In: Journal of risk and financial management : JRFM 14 (2021) 11, pp. 1-34

The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. Artificial intelligence (AI) techniques can detect such non-linearity, resulting in much-improved forecast results. This paper reviews 148 studies utilizing...

Persistent link: https://www.econbiz.de/10012795264

Is artificial intelligence ready to assess an enterprise's financial security?

Melnychenko, Oleksandr - In: Journal of risk and financial management : JRFM 13 (2020) 9/191, pp. 1-19

This study contributes to the literature on financial security by highlighting the relevance of the perceptions and resulting professional judgment of stakeholders. Assessing a company’s financial security using only economic indicators-as suggested in the existing literature-would be...

Persistent link: https://www.econbiz.de/10012386867

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