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Does ICT Drive Fintech firm Performance? Evidence from BRICS ‎Countries ‎

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  • Neifar, Malika

Abstract

Purpose: The scope of this paper is to see if the aggregate information and communications technology index (ICT) drives firm performance (profitability and efficiency) for BRICS countries from a des-aggregate panel data of the firm-yearly level (by country) during 2014-2022, from an aggregate monthly time series data and a panel data of country-monthly level during 2014-01-2014-12, all covering the Covid outbreak event. Design/methodology/approach: Through static and dynamic long-run (LR) panel models, the Bayesian VAR-X short-run (SR) approach, and the time series and the panel (LR and SR) ARDL models, we investigate the stability of the linkage between firm performance and the aggregate ICT vis à vis the Covid outbreak. Findings: Using an international sample of 316 FinTech firms from BRICS countries, we find that ICT mechanisms on their own are in general negatively associated with firm performance (profitability and efficiency) with some exceptions. We also find that the ICT and the firm-performance relationship is more significant among countries with respect to the considered pre ou post Covid 19 outbreak period. Originality: The novelty of this research is based on the idea of studying the effect of the aggregate ICT on firm performance by using several dynamic approaches so that we can estimate the SR adjustments that arise from the impact of ICT to the LR relationship.

Suggested Citation

  • Neifar, Malika, 2024. "Does ICT Drive Fintech firm Performance? Evidence from BRICS ‎Countries ‎," MPRA Paper 121772, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:121772
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    1. Antonakakis, Nikolaos & Cunado, Juncal & Filis, George & Gracia, Fernando Perez de, 2017. "Oil dependence, quality of political institutions and economic growth: A panel VAR approach," Resources Policy, Elsevier, vol. 53(C), pages 147-163.
    2. Nguyen, Nam H. & Phan, Hieu V., 2017. "Policy Uncertainty and Mergers and Acquisitions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(2), pages 613-644, April.
    3. Pantea, Smaranda & Sabadash, Anna & Biagi, Federico, 2017. "Are ICT displacing workers in the short run? Evidence from seven European countries," Information Economics and Policy, Elsevier, vol. 39(C), pages 36-44.
    4. Berger, Allen N. & Boubakri, Narjess & Guedhami, Omrane & Li, Xinming, 2019. "Liquidity creation performance and financial stability consequences of Islamic banking: Evidence from a multinational study," Journal of Financial Stability, Elsevier, vol. 44(C).
    5. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    6. Zhou, Qingna & Gao, Ping & Chimhowu, Admos, 2019. "ICTs in the transformation of rural enterprises in China: A multi-layer perspective," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 12-23.
    7. Davydov, Denis & Fungáčová, Zuzana & Weill, Laurent, 2018. "Cyclicality of bank liquidity creation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 81-93.
    8. D'Mello, Ranjan & Toscano, Francesca, 2020. "Economic policy uncertainty and short-term financing: The case of trade credit," Journal of Corporate Finance, Elsevier, vol. 64(C).
    9. Díaz, Violeta & Huang, Ying, 2017. "The role of governance on bank liquidity creation," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 137-156.
    10. Huang, Ho-Chuan & Wang, Xiuhua & Xiong, Xin, 2022. "When macro time series meets micro panel data: A clear and present danger," Energy Economics, Elsevier, vol. 114(C).
    11. Lepetit, Laetitia & Nys, Emmanuelle & Rous, Philippe & Tarazi, Amine, 2008. "Bank income structure and risk: An empirical analysis of European banks," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1452-1467, August.
    12. Tran, Vuong Thao & Lin, Chien-Ting & Nguyen, Hoa, 2016. "Liquidity creation, regulatory capital, and bank profitability," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 98-109.
    13. Roberto Ivo Da Rocha Lima Filho, 2022. "Estimating the production function for the Brazilian industrial sector: A Bayesian panel VAR approach," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2025752-202, December.
    14. Shim, Jeungbo, 2019. "Loan portfolio diversification, market structure and bank stability," Journal of Banking & Finance, Elsevier, vol. 104(C), pages 103-115.
    15. Ben Salah Mahdi, Ines & Boujelbene Abbes, Mouna, 2018. "Relationship between capital, risk and liquidity: a comparative study between Islamic and conventional banks in MENA region," Research in International Business and Finance, Elsevier, vol. 45(C), pages 588-596.
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    More about this item

    Keywords

    FinTech Firm performance and ICT; BRICS area; Dynamic Panel Regressions and GMM for ‎firm level panel data; Bayesian VAR-X and ARDL models for TS data; PARDL for macro ‎panel data; Covid 19 outbreak‎;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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