Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
The Promise of Fintech
Technology is changing the landscape of the financial sector, increasing access to financial services in profound ways. These changes have been in motion for several years, affecting nearly all countries in the world. During the COVID-19 pandemic, technology has created new opportunities for digital financial services to accelerate and enhance financial inclusion, amid social distancing and containment measures. At the same time, the risks emerging prior to COVID-19, as digital financial services developed, are becoming even more relevant.
FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk
Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financi...
Open Banking
Open banking is a silent revolution transforming the banking industry. It is the manifestation of the revolution of consumer technology in banking and will dramatically change not only how we bank, but also the world of finance and how we interact with it. This book defines the concept of 'open banking' and explores key legal, policy, and economic questions raised by open banking.
FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk
Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financi...
Shock Absorbers Or Transmitters? The Role of Foreign Banks During COVID-19
This paper studies whether bank ownership influenced lending behavior during the COVID-19 shock. It finds that, similar to previous episodes of financial distress, foreign banks appear to have played a shock-transmitting role, as there was a sharp slowdown in lending by foreign banks’ affiliates relative to domestic banks. However, given the uniqueness of the COVID-19 shock and the impact of lockdowns on economic activity, foreign banks were found to lend at a higher rate than domestic banks once the stringency of mobility restrictions is accounted for, with their lending portfolio concentrated more in the corporate sector. Results also suggest that the difference in lending rates between foreign and domestic banks could be explained by the heterogeneous effects of policy measures in response to the pandemic. In jurisdictions with more stringent mobility restrictions, policy interventions actually encouraged higher lending by foreign banks. These findings suggest that foreign bank presence may have acted as a shock absorber in jurisdictions where economic activity was most affected by the pandemic.
India’s Approach to Open Banking: Some Implications for Financial Inclusion
We examine how the development of the digital infrastructure known as the “India Stack”—including an interoperable payments system, a universal digital ID, and other features—is delivering on the government’s objective to expand the provision of financial services. While each individual component of the India Stack is important, we argue that its key overarching feature is a foundational approach of providing extensive public infrastructures and standards that generates important synergies across the layers of the Stack. Until recently, a large share of India’s population lacked access to formal banking services and was largely reliant on cash for financial transactions. The expansion of mobile-based financial services that enable simple and convenient ways to save and conduct financial transactions has provided a novel alternative for expanding the financial net. The Stack’s improved digital infrastructures have already allowed for a rapid increase in the use of digital payments and the entry of a range of competitors including fintech and bigtech firms.
Fintech: Financial Inclusion Or Exclusion?
This paper examines the role of Fintech in financial inclusion. Using Global Findex data and emerging fintech indicators, we find that Fintech has a higher positive correlation with digital financial inclusion than traditional measures of financial inclusion. In the second stage of our empirical investigation, we examine the key factors that are correlated with the Fletcher School’s three digital divide – gender divide, class (rich-poor) divide and rural divide. The results indicate that greater use of fintech is significantly associated with a narrowing of the class divide and rural divide but there was no impact on the gender divide. These findings imply that Fintech alone may not be sufficient to close the gender gap in access to financial services. Fintech development may need to be complemented with targeted policy initiatives aimed at addressing the gender gap directly, and at changing attitudes and social norms across demographics.
Do Remittances Enhance Financial Inclusion in LMICs and in Fragile States?
This paper explores the relationship between remittances and financial inclusion for a sample of 187 countries over the period 2004-2015, using cross-country as well as dynamic panel GMM regressions. At low levels of remittances-to-GDP, these flows act as a substitute to formal financial channels, thereby reducing financial inclusion. In contrast, when remittance-to-GDP ratio is high, above 13% on average, they tend to complement formal access and usage channels, thus enhancing financial inclusion. This “U shaped” relationship highlights the role of remittance flows in financing household consumption at low levels, while raising formal household bank savings and allowing for more intermediation, at high levels of remittance-to-GDP.
Artificial Intelligence, Fintech, and Financial Inclusion
This book covers big data, machine learning, and artificial intelligence-related technologies and how these technologies can enable the design, development, and delivery of customer-focused financial services to both corporate and retail customers, as well as how to extend the benefits to the financially excluded sections of society. Artificial Intelligence, Fintech, and Financial Inclusion describes the applications of big data and its tools such as artificial intelligence and machine learning in products and services, marketing, risk management, and business operations. It also discusses the nature, sources, forms, and tools of big data and its potential applications in many industries for competitive advantage. The primary audience for the book includes practitioners, researchers, experts, graduate students, engineers, business leaders, and analysts researching contemporary issues in the area.
Fintech Payments in Public Financial Management: Benefits and Risks
Fintech payments leverage large digital platforms to fill gaps in the traditional payment system. They have made great strides in increasing access to payment services in several countries around the globe. At the same time, like any innovation, the new payment models are exposed to risks in their operating environment. We review the main fintech payment models (mobile money, internet-based fintech payment, and digital money) and discuss operational and financial risks as well as challenges they face. We then explore how public financial management (PFM), especially treasury payments and non-tax revenue collections, could benefit from fintech payments by providing examples of early fintech applications in different countries and discuss the challenges of integrating them into the public sector. The use of fintech in public finance could bring various benefits—including strengthening fiscal transparency, improving budget planning and execution, and upgrading cash management—if public sector institutional and technological capacities are strengthened and risks are adequately mitigated.
