Jewel Kumar Roy

57211688989

Publications - 7

Assessing the influence of financial repression on Bangladesh's financial development

Jewel Kumar Roy Md Yousuf Kamal Hossain Mohammad Bin Amin Mohammod Ullah Sayeed Bin Kamal Chowdhury

Publication Name: Multidisciplinary Science Journal

Publication Date: 2026-07-08

Volume: 8

Issue: 3

Page Range: Unknown

Description:

We investigate how financial repression affects financial development of Bangladesh over the period 1980-2022. Employing VECM, we find that repression policies negatively affect financial development, meaning that controlling the financial sector counteracts financial progress. Following the results, we recommend some policies. To accelerate financial progress, policymakers need to rethink on these restrictive policy instruments. For emerging nations like Bangladesh, this paper offers the first empirical data on the connection between financial repression and financial development.

Open Access: Yes

DOI: 10.31893/multiscience.2026140

Financial technology and environmental, social and governance in sustainable finance: a bibliometric and thematic content analysis

Laszlo Vasa Jewel Kumar Roy

Publication Name: Discover Sustainability

Publication Date: 2025-12-01

Volume: 6

Issue: 1

Page Range: Unknown

Description:

The integration of Environmental, Social, and Governance (ESG) principles with Financial Technology (Fintech) has emerged as a pivotal mechanism for advancing sustainable finance. This study investigates the interplay between ESG and Fintech through bibliometric and thematic content analysis to uncover key research trends, thematic clusters, and existing knowledge gaps in this dynamic field. The research problem focuses on how FinTech innovations can support ESG-driven initiatives such as corporate social responsibility (CSR), financial inclusion, and sustainable development while addressing challenges like performance metrics and governance issues. By mapping the research landscape, the study identifies significant contributions from scholars, notably in China and the USA, and explores prominent themes, including the role of Fintech in ESG disclosures, corporate governance, and sustainability. Emerging technologies like AI and blockchain are also highlighted for their impact on ESG reporting. The findings reveal exponential academic interest in this domain but underscore critical industrial challenges, such as the absence of standardized ESG metrics and the limited application of Fintech in addressing sustainability issues. The study concludes by offering future research directions aimed at bridging these gaps and emphasizing the transformative potential of Fintech in driving sustainability across the financial sector.

Open Access: Yes

DOI: 10.1007/s43621-025-00934-2

Digital divide and digitalization in Europe: A bibliometric analysis

Nataša Kovač Rafał Kusa Jewel Kumar Roy Katarzyna Żmija Jerzy Duda

Publication Name: Equilibrium Quarterly Journal of Economics and Economic Policy

Publication Date: 2024-06-30

Volume: 19

Issue: 2

Page Range: 463-520

Description:

Research background:Digitalization and the associated digital divide are crucial issues impacting socio-economic development globally. Extensive research has examined digitalization and the digital divide in EU countries, but there is a lack of understanding regarding comparisons with studies conducted in Western Balkan countries. This study investigates digitalization trends in research from the past five years in both regions, focusing on efforts and factors contributing to the digital gap. Purpose of the article: The study analyzes research on digitalization from 2018 to 2023 in the EU and Western Balkans. It explores factors causing the digital divide and efforts in digitalization, aiming to guide future research and policy for digital inclusion and sustainable development. Methods: The study employs a meticulous data selection process, choosing Scopus as the database for its extensive coverage of diverse journals. A total of 1119 articles from EU countries and 277 from Western Balkan countries are selected for bibliometric analysis, adhering to PRISMA guidelines. Findings & value added: The research reveals a growing interest in digitalization-related issues, demonstrating the multidisciplinary nature of ongoing research. It points out the distribution of publications on digitalization in the EU and Western Balkans countries. The EU focuses on digital technologies, economic growth, and sustainability, while Western Balkan countries focus on COVID-19 impact and digitalization in education and business. The research compares digitalization efforts in the EU and Western Balkan countries presented in the literature, pointing to new dimensions of the digital divide studies. It discusses how socio-economic contexts affect digital transformation and stresses the need for tailored policy approaches for digital inclusivity. These insights are of great importance for policymakers, researchers, and practitioners working towards global digital development and bridging the digital divide. The study lays the groundwork for future research and policy considerations, considering limitations like potential bias in databases and search criteria.

Open Access: Yes

DOI: 10.24136/eq.2899

FinTech credit using CBDC: Transformation of lending market

Jewel Kumar Roy Md Foysal Hasan

Publication Name: Exploring Central Bank Digital Currencies Concepts Frameworks Models and Challenges

Publication Date: 2024-03-07

Volume: Unknown

Issue: Unknown

Page Range: 158-168

Description:

The advancement of financial technology and the development of central bank digital currency (CBDC) are revolutionizing the lending market. FinTech credit and CBDC have disrupted traditional lending practices, providing new channels of financing for borrowers and increasing access to credit. This chapter explores the transformation in the lending market due to the advent of FinTech credit and CBDC. It analyses the impact of these developments on the lending market, borrowers, and financial institutions. The chapter also evaluates the challenges and opportunities presented by these innovations and the implications for regulators. Financial technology (FinTech) credit has rapidly emerged as a disruptive force in the lending market, and the use of central bank digital currency (CBDC) has the potential to further transform the lending market. This chapter aims to examine the potential impact of FinTech credit using CBDC on the lending market, analyse the benefits and challenges of this model, and provide recommendations for policymakers and market participants to foster its adoption.

Open Access: Yes

DOI: 10.4018/979-8-3693-1882-9.ch010

Machine Learning and Artificial Intelligence Method for FinTech Credit Scoring and Risk Management: A Systematic Literature Review

Laszlo Vasa Jewel Kumar Roy

Publication Name: International Journal of Business Analytics

Publication Date: 2024-01-01

Volume: 11

Issue: 1

Page Range: Unknown

Description:

The ever-changing landscape of financial technology has undergone significant changes owing to advancements in machine learning, artificial intelligence, blockchains, and digitalization. These changes have had a profound impact on the provision of financial services, specifically, credit scoring and lending. This study examines the intersection of financial technology, artificial intelligence, machine learning, blockchain, and digitalization in the context of credit services with a focus on credit scoring and lending. This study addressed three main research questions: The research followed a comprehensive methodology, considering factors such as population, intervention, comparison, outcomes, and setting to ensure that collected data aligns with research objectives. The research questions were structured using the PICOS framework, and the PRISMA model was used for the systematic review and study selection. The publications analysed covered a wide range of datasets and methodologies.

Open Access: Yes

DOI: 10.4018/IJBAN.347504

The impact of unpredictable resource prices and equity volatility in advanced and emerging economies: An econometric and machine learning approach

Laszlo Vasa Ashutosh Kolte Jewel Kumar Roy

Publication Name: Resources Policy

Publication Date: 2023-01-01

Volume: 80

Issue: Unknown

Page Range: Unknown

Description:

Global stock markets are incredibly unpredictable. Resource prices have a significant market impact on varying securities. With the use of cutting-edge technology like artificial intelligence, analysts and researchers are employing various machine learning techniques and econometrics methodologies to anticipate stock price trends in order to better comprehend stock market volatility. Volatility is the degree of variation in a time sequence of market rates. Stock market equity returns depend on the business output where the investor has trust in high and low equity. This research explores the interaction between industrialized and developing economies' market volatility relationships between 2000 and 2020 as well as the aforementioned impacts taking place on developing financial prudence worldwide. The aim of the study is to integrate an appropriate GARCH framework to estimate the uncertainty dependent on market conditions in the European Union, the Pacific, South America, Latin America, East Asia, West Asia and South Asia stock return indices. The Generalized Auto-Regressive Conditional Heteroscedasticity method is used for analyzing the effect of updates from the USA that influences the returns of S&P 500 globally as well as European Union, Pacific, South American, Latin American, East Asian, West Asian and South Asian indices returns. For capital markets of the world, there is a significant gap in equity return uncertainty. Such results have major effects on investors looking to diversify their portfolios. For international and domestic institutional shareholders, this paper is significant. The impact of international institutional investors' investments and effects of the growth of the equity market return may be omitted as the analysis is restricted exclusively to the European Union, the Pacific, South America, Latin America, East Asia, West Asia, and South Asia.

Open Access: Yes

DOI: 10.1016/j.resourpol.2022.103216

Evaluating the Return Volatility of Cryptocurrency Market: An Econometrics Modelling Method

Laszlo Vasa Ashutosh Kolte Avinash Pawar Jewel Kumar Roy Imre Vida

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 5

Page Range: 107-126

Description:

Cryptocurrency is the blockchain financial technology used for transactions in financial institutions and exchanges. Bitcoin has attracted much coverage from investors and commentators as it represents the maximum market capitalization on a crypto-currency exchange. The study aims to determine the correlation between the daily log–returns and to understand the tendencies in the cryptocurrency market instability of Bitcoin, Litecoin, XRP, Nxt, Dogecoin, Vertcoin, DigiByte, DASH, Counterparty, and MonaCoin. The correlation among the selected cryptocurrencies exists in the study. The analysis is focused primarily upon reference information from the preserved servers of cryptocurrency websites and finance.yahoo.com. This research assesses regular details on the Logarithmic return of Bitcoin, Litecoin, XRP, Nxt, Dogecoin, Vertcoin, DigiByte, DASH, Counterparty, and MonaCoin for a timeframe spanning from October 01st, 2014, to April 30th, 2020. From 131 cryptocurrencies, we considered only 10 Cryptocurrencies due to the availability of data after October 2014. Where there was insufficient information, there were average results determined from preceding and succeeding data. Findings demonstrate that there is GARCH modelling of cryptocurrencies against Bitcoin. Litecoin, XRP, Nxt, Dogecoin, Vertcoin, DigiByte, DASH, Counterparty, and MonaCoin; variability values throughout the duration had a significant effect on the updates from Bitcoin returns. We believe that it helps create information and resources that are valuable to practitioners and scholars who research and form cryptocurrency markets in the future.

Open Access: Yes

DOI: 10.12700/APH.19.5.2022.5.6