[PDF][PDF] Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023 - researchgate.net
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

Fintech lending

T Berg, A Fuster, M Puri - Annual Review of Financial …, 2022 - annualreviews.org
In this article, we review the growing literature on financial technology (FinTech) lending—
the provision of credit facilitated by technology that improves the customer–lender …

Enhancing credit scoring with alternative data

VB Djeundje, J Crook, R Calabrese, M Hamid - Expert Systems with …, 2021 - Elsevier
Hundreds of millions of people in low-income economies do not have a credit or bank
account because they have insufficient credit history for a credit score to be ascribed to …

Measuring the welfare cost of asymmetric information in consumer credit markets

AA DeFusco, H Tang, C Yannelis - Journal of Financial Economics, 2022 - Elsevier
Abstract Information asymmetries are known in theory to lead to inefficiently low credit
provision, yet empirical estimates of the resulting welfare losses are scarce. This paper …

The role of big data in financial technology toward financial inclusion

D Mhlanga - Frontiers in big Data, 2024 - frontiersin.org
In the rapidly evolving landscape of financial technology (FinTech), big data stands as a
cornerstone, driving significant transformations. This study delves into the pivotal role of big …

[PDF][PDF] Can cashless payments spur economic growth?

TS Dubey, A Purnanandam - Available at SSRN, 2023 - cepr.org
Can Cashless Payments Spur Economic Growth? Page 1 Can Cashless Payments Spur
Economic Growth? Tamanna Singh Dubey and Amiyatosh Purnanandam Stephen M. Ross …

Big data and artificial intelligence for financial inclusion: benefits and issues

PK Ozili - Artificial intelligence, fintech, and financial inclusion, 2021 - taylorfrancis.com
This chapter discusses the benefits and drawbacks of using big data and artificial
intelligence (AI) to broaden access to financial services. Increased effectiveness and risk …

[HTML][HTML] A framework for evaluating the business deployability of digital footprint based models for consumer credit

AA Loutfi - Journal of Business Research, 2022 - Elsevier
Every time we interact with online digital services, we generate large amounts of data that
reveal our shop** habits, social interactions, and much more. We refer to these data …

Understanding the impact of borrowers' behavioural and psychological traits on credit default: review and conceptual model

A Goel, S Rastogi - Review of Behavioral Finance, 2023 - emerald.com
Purpose The purpose of the study is to identify certain behavioural and psychological traits
of the borrowers which have the tendency to predict the credit risk of the borrowers. And the …