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In response to the COVID-19 pandemic, the Federal Reserve (Fed) embarked on an unprecedented mission to stabilize the U.S. economy as businesses shut down. One emergency Fed facility, the Secondary Market Corporate Credit Facility (SMCCF), was used to purchase corporate bonds and corporate bond exchange-traded funds (ETFs) in the secondary market. This extraordinary measure, which injected liquidity into the corporate bond market, aimed to mitigate economic fallout for large companies. Purchasing corporate bonds marked a departure from previous Federal Reserve interventions, but the statutory authority was the same as had been used in past crises: Section 13(3) of the Federal Reserve Act (FRA). Additionally, the SMCCF was supported by the new Coronavirus Aid, Relief, and Economic Security Act (CARES). This Note examines the legal bases for the SMCCF, highlighting where the Federal Reserve exceeded its statutory authority. Specifically, this Note examines statutory provisions that require security, a liquidity purpose, a penalty rate, and that the borrower be a U.S.-centric business. This Note proceeds to propose alternative facilities for future crises that solve the same problem, but that are within statutory bounds. This Note also reevaluates the Federal Reserve's emergency lending framework, suggesting an amendment to modernize Section 13(3).

•We study the impact of customers’ BNPL adoption on their online spending.•Customers adopting BNPL spend 6.42% more than those who do not.•Low-ticket items benefit more than high-ticket items when customers use BNPL.•Young and low-income customers who adopt BNPL have higher sending than older and high-income customers.•Customers with high category experience and high promotion sensitivity spend more following BNPL adoption. Recent innovations in financial technology (FinTech) have introduced short-term financing options for customer loans, allowing customers to make purchases and pay for them in future installments without incurring interest, a model commonly referred to as Buy Now, Pay Later (BNPL). Despite the increasing provision of BNPL by online retailers, there remains a limited understanding of its effects on customers’ online purchase behavior. To address this gap, we utilize a synthetic difference-in-differences research design to estimate the impact of customers’ BNPL adoption on their online purchase behavior, specifically measured by order size. Our empirical results indicate that customers who adopt BNPL provided by a focal retailer have a higher order size than those who use traditional payment services. Our empirical estimates indicate an increase of 6.42% in online spending by customers adopting BNPL. Additionally, we examine the moderating effects of various customer segments - including loyalty, category experience, and promotion sensitivity - as well as demographic factors such as age, income, household size, and product characteristics, particularly low-ticket items. The impact of BNPL adoption is found to be amplified among customers with high levels of category experience and promotion sensitivity. Conversely, the effect is attenuated among older and higher-income customers, indicating that younger and low-income customers are the primary drivers of this effect. Moreover, our analysis demonstrates that purchases of low-ticket items predominantly drive the observed effect. This study provides strategic insights for online retailers concerning the implementation and targeting of BNPL as an effective online payment option.

Some individuals borrow extensively on their credit cards. This paper tests whether present-biased time preferences correlate with credit card borrowing. In a field study, we elicit individual time preferences with incentivized choice experiments, and match resulting time preference measures to individual credit reports and annual tax returns. The results indicate that present-biased individuals are more likely to have credit card debt, and to have significantly higher amounts of credit card debt, controlling for disposable income, other socio-demographics, and credit constraints.

I empirically examine the factors that determine whether firms use bank lines of credit or cash in corporate liquidity management. I find that bank lines of credit, also known as revolving credit facilities, are a viable liquidity substitute only for firms that maintain high cash flow. In contrast, firms with low cash flow are less likely to obtain a line of credit, and they rely more heavily on cash in their corporate liquidity management. An important channel for this correlation is the use of cash flow-based financial covenants by banks that supply credit lines. I find that firms must maintain high cash flow to remain compliant with covenants, and banks restrict firm access to credit facilities in response to covenant violations. Using the cash-flow sensitivity of cash as a measure of financial constraints, I provide evidence that lack of access to a line of credit is a more statistically powerful measure of financial constraints than traditional measures used in the literature.

PurposeThe current approach to valuing customers is based on the notion of discounted profit generated by the customers over the lifetime of the relationship, also known as customer lifetime value (CLV). However, in the financial services industry, the customers who contribute the most to the profitability of a firm are also the riskiest customers. If the riskiness of a customer is not considered, firms will overestimate the true value of that customer. This paper proposes a methodology to adjust CLV for different types of risk factors and creates a comprehensive measure of risk-adjusted lifetime value (RALTV).Design/methodology/approachUsing data from a major credit card company, we develop a measure of risk adjusted lifetime value (RALTV) that accounts for diverse types of customer risks. The model is estimated using Stochastic Frontier Analysis (SFA).FindingsMajor findings indicate that rewards cardholders and affinity cardholders tend to score higher within the RALTV framework than non-rewards cardholders and non-affinity cardholders, respectively. Among the four different modes of acquisition, the Internet generates the highest RALTV, followed by direct mail.Originality/valueThis paper not only controls for different types of consumer risks in the financial industry and creates a comprehensive risk-adjusted lifetime value (RALTV) model but also shows empirically the value of using RALTV over CLV for predicting future performance of a set of customers. Further, we investigate the impact of a firm’s acquisition and retention strategies on RALTV. The measure of risk-adjusted lifetime value is invaluable for managers in financial services.

The article aimed to explore the effects of the information asymmetry on the card-debt crisis in Taiwan’s credit card market. The card-debt crisis of the credit cards broke out in Taiwan in 2005. To improve this situation, the financial authorities were forced to intervene in the market. The article employed the documents analysis and collected the related literature and statistical data to construct the information asymmetry model and the proposed hypotheses of the adverse selections and the moral hazards. The results concluded that the card-debt crisis did stem from the information asymmetry, and was alleviated by the intervention of the financial authorities.

Ethical banking, microfinance institutions or certain credit cooperatives, among others, grant socially responsible loans. This paper presents a credit score system for them. The model evaluates social and financial aspects of the borrower. The financial aspects are evaluated under the conventional banking framework, by analysing accounting statements and financial projections. The social aspects try to quantify the loan impact on the achievement of Millennium Development Goals such as employment, education, environment, health or community impact. The social credit score model should incorporate the lender's know-how and should also be coherent with its mission. This is done using Multi-Criteria Decision Making (MCDM). The paper illustrates a real case: a loan application by a social entrepreneur presented to a socially responsible lender. The decision support system not only produces a score, but also reveals strengths and weaknesses of the application.

Hand-collecting credit line drawdowns that firms classify as long-term debt, we first document how long-term drawdowns rise with high investment needs or weak external capital market conditions. Nearly all drawdown proceeds finance long-term investment, including M&A activity. Unrated and lower-rated firms rely more on long-term drawdowns than high or very poorly rated firms. We further find that credit lines have tighter covenants than terms loans. Drawdowns are repaid fairly quickly and often refinanced with other long-term debt. Our findings support the monitored liquidity insurance theory of credit lines and highlight that long-term drawdowns act as a valuable bridge financing mechanism.

This paper introduces a novel family of indexes to describe borrowers' creditworthiness in retail credit products, both for fixed term loans and for open-ended products such as credit cards. Each index is the ratio at a given time of the net present value of actually received cashflows to the contractual ones. Some interpretations of the indexes are given and it is also described how to link them to the profitability of the credit financial operation. For open-ended products, a competing risks survival analysis methodology is proposed to estimate the cashflow returns and illustrated with a simulation.

The Federal Reserve reported last month that Americans' revolving credit card balances have crept to their highest levels in more than a decade. JPMorgan Chase, the largest bank in the country, said in its latest quarterly filing that it was seeing higher revolving credit card balances. (The Fed last year reported the average interest rate on a credit card in the U.S. was 21%.)