Numerical methods for option valuation: A bibliometric review of current trends to future directions
Research on option valuation has been developed in the last five decades. However, studies have yet to establish research trends, collaboration networks, or scientometric analysis of numerical methods on option valuation rather than the subjective approach by identifying research themes. This study...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Social Sciences and Humanities Open |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590291125005133 |
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| author | Afroza Akter A.K. Azad A.B.M. Shahadat Hossain Salma Parvin |
| author_facet | Afroza Akter A.K. Azad A.B.M. Shahadat Hossain Salma Parvin |
| author_sort | Afroza Akter |
| collection | DOAJ |
| description | Research on option valuation has been developed in the last five decades. However, studies have yet to establish research trends, collaboration networks, or scientometric analysis of numerical methods on option valuation rather than the subjective approach by identifying research themes. This study analyzes a bibliometric review on numerical methods of option valuation of 981 published documents from the Web of Science database spanning 1994 to 2023 for the first time. Data analysis and visualizations were conducted using open-source software from the R-based biblioshiny package and VOSviewer. The empirical data has been analyzed for theme mapping, trend topics, document coupling, and network analysis to identify the most cited topics, articles, authors, keywords, research gaps, and future research scope. The results indicated the most prolific author, influential documents, impactful sources, significant organizations, and the research gaps on option valuation using numerical methods. Notably, the analysis reveals a robust growth trajectory in option valuation literature, particularly after 2000, with an annual pace of 11.07 percent. Emerging themes, such as the application of artificial neural networks and innovative decision-making approaches, offer valuable guidance for future research endeavors in option valuation, ultimately advancing our understanding of market dynamics and strategies. |
| format | Article |
| id | doaj-art-2bff2966d54740eb93e47a2f79f02ba9 |
| institution | Kabale University |
| issn | 2590-2911 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Social Sciences and Humanities Open |
| spelling | doaj-art-2bff2966d54740eb93e47a2f79f02ba92025-08-20T03:57:58ZengElsevierSocial Sciences and Humanities Open2590-29112025-01-011210178510.1016/j.ssaho.2025.101785Numerical methods for option valuation: A bibliometric review of current trends to future directionsAfroza Akter0A.K. Azad1A.B.M. Shahadat Hossain2Salma Parvin3Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, 1000, BangladeshDepartment of Natural Sciences, Islamic University of Technology, Gazipur, 1704, BangladeshDepartment of Applied Mathematics, University of Dhaka, Dhaka, 1000, BangladeshDepartment of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, 1000, BangladeshResearch on option valuation has been developed in the last five decades. However, studies have yet to establish research trends, collaboration networks, or scientometric analysis of numerical methods on option valuation rather than the subjective approach by identifying research themes. This study analyzes a bibliometric review on numerical methods of option valuation of 981 published documents from the Web of Science database spanning 1994 to 2023 for the first time. Data analysis and visualizations were conducted using open-source software from the R-based biblioshiny package and VOSviewer. The empirical data has been analyzed for theme mapping, trend topics, document coupling, and network analysis to identify the most cited topics, articles, authors, keywords, research gaps, and future research scope. The results indicated the most prolific author, influential documents, impactful sources, significant organizations, and the research gaps on option valuation using numerical methods. Notably, the analysis reveals a robust growth trajectory in option valuation literature, particularly after 2000, with an annual pace of 11.07 percent. Emerging themes, such as the application of artificial neural networks and innovative decision-making approaches, offer valuable guidance for future research endeavors in option valuation, ultimately advancing our understanding of market dynamics and strategies.http://www.sciencedirect.com/science/article/pii/S2590291125005133Bibliometric analysisOption valuationNumerical methodsThematic analysisSource impactCo-occurrence network |
| spellingShingle | Afroza Akter A.K. Azad A.B.M. Shahadat Hossain Salma Parvin Numerical methods for option valuation: A bibliometric review of current trends to future directions Social Sciences and Humanities Open Bibliometric analysis Option valuation Numerical methods Thematic analysis Source impact Co-occurrence network |
| title | Numerical methods for option valuation: A bibliometric review of current trends to future directions |
| title_full | Numerical methods for option valuation: A bibliometric review of current trends to future directions |
| title_fullStr | Numerical methods for option valuation: A bibliometric review of current trends to future directions |
| title_full_unstemmed | Numerical methods for option valuation: A bibliometric review of current trends to future directions |
| title_short | Numerical methods for option valuation: A bibliometric review of current trends to future directions |
| title_sort | numerical methods for option valuation a bibliometric review of current trends to future directions |
| topic | Bibliometric analysis Option valuation Numerical methods Thematic analysis Source impact Co-occurrence network |
| url | http://www.sciencedirect.com/science/article/pii/S2590291125005133 |
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