A multidimensional financial attractiveness index
Scoring and classification of financial systems
Bibliographic Data
| ID | 22189884 |
|---|---|
| Authors | Firano Zakaria (0000-0002-0454-6217, Mohammed V University), Zakaria Firano, Rim Jalloul (Mohammed V University) |
| Year | 2024 |
| Volume | 8 |
| Issue | 8 |
| Pages | 4369 |
| Publication date | 2024-08-20 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Infrastructure Policy and Development (JOURNAL) |
| Journal identifiers | ISSN: 2572-7923 • E-ISSN: 2572-7931 |
| Publisher | EnPress Publisher (PUBLISHER) |
| DOI | 10.24294/jipd.v8i8.4369 |
| OpenAlex | W4401713030 |
| Language | EN |
| References cited | 5 |
This research paper aims to benchmark the characteristics of financial systems for 102 countries worldwide from the period of 2005 to 2017. The financial systems’ database encompasses four main dimensions, each consisting of several variables for every indicator: (a) financial depth, (b) financial efficiency, (c) financial access, and (d) financial stability. The objective is to closely analyse the different factors that contribute to the attractiveness of financial and economic systems globally. Furthermore, this paper employs a literature review and an empirical modelling and classification of financial systems worldwide to assess their attractiveness. The modelling process utilizes two statistical analysis methods: discriminant analysis (PCA) and neural analysis. By doing so, this research paper aims to identify the most appropriate measures to strengthen these systems and economies. The main conclusion of the research is to establish a ranking of the world’s best countries and also the validation of the hypothesis that macroeconomic conditions are the effective determinants of the classification dimensions of financial systems
Attractiveness · Business · Complex Systems and Time Series Analysis · Computer Science · Psychology · Finance
| Highly cited | No |
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