Narrow search
Showing 1 - 10 of 71
Cover Image
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 … learning model performance without necessarily reflecting reality, which leads to over-fitting or decreased performance. In …
Persistent link: https://www.econbiz.de/10013273676
Cover Image
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 … limitations of ML learning methods and recent advances in ML were used to provide a conic view to future ML econometric practice. …
Persistent link: https://www.econbiz.de/10013475217
Cover Image
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
indicators of a sample of 58 identified I4.0 companies. We developed a machine-learning model by using the eXtreme Gradient …
Persistent link: https://www.econbiz.de/10014284413
Cover Image
Empirical finance
Hamori, Shigeyuki - In: Journal of risk and financial management : JRFM 13 (2020) 1/6, pp. 1-3
finance and one book review. The content is six articles on machine learning, five articles based on traditional econometric … analysis, and five articles on emerging markets. The large share of articles on the application of machine learning is in line …
Persistent link: https://www.econbiz.de/10012173272
Cover Image
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
Cover Image
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
Cover Image
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
storage constraints. Aided by recent advances in artificial intelligence (AI) and machine learning (ML) technologies, recent …
Persistent link: https://www.econbiz.de/10013273599
Cover Image
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
Cover Image
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
company’s development and holistically assess the financial condition-despite the possibility of learning and forecasting …
Persistent link: https://www.econbiz.de/10012386867
Cover Image
Risk capital and emerging technologies : innovation and investment patterns based on artificial intelligence patent data analysis
Santos, Roberto S.; Qin, Lingling - In: Journal of risk and financial management : JRFM 12 (2019) 4/189, pp. 1-24
The promise of artificial intelligence (AI) to drive economic growth and improve quality of life has ushered in a new AI arms race. Investments of risk capital fuel this emerging technology. We examine the role that venture capital (VC) and corporate investments of risk capital play in the...
Persistent link: https://www.econbiz.de/10012171023