Search results

This paper aims to explore the consumer insights and ethical concerns surrounding the online payday loan services available in the Google Play Store. This research was conducted to compare whether the presence or absence of debt collection protection acts in a country creates differences in consumer experiences regarding the ethics of payday loan collection. Specifically, the study compares customers’ experiences in both the Indonesian and US markets.

Indonesia and the USA were chosen because they have very different regulatory structures for the payday loan industry. The data was scraped using Python from 27 payday loan apps on the Indonesian Play Store, resulting in a total of 244,697 reviews extracted from the Indonesian market. For the US market, 446,010 reviews were extracted from 14 payday loan apps. The data was further analyzed using NVIVO.

The results suggest that consumers of payday loans in Indonesia and the USA hold positive views about the benefits of payday loan apps, as revealed by the word frequency and word cloud analysis. Notably, customers in both countries did not express any negative sentiments regarding the unethical interest rate charged by the payday loan, contradicting what is commonly reported in academic literature. However, a distinct pattern of unethical conduct was observed in both countries concerning marketing communication and debt collection practices. In the Indonesian market, payday loan companies were found to engage in unethical debt collection activities. In the US market, payday lenders exhibited unethical behavior in their marketing communication, particularly through deceptive advertising that makes promises to consumers that are not delivered.

The study aims to provide evidence on the various experiences of customers in the presence and absence of debt collection regulations using a novel methodology and a large sample, which strengthens the results and conclusions of the study. The study also intends to inform policymakers, particularly the Indonesian government, about the need for specific laws to regulate the debt collection process and prevent unethical practices. Ultimately, the study is expected to protect the rights of consumers from a deceptive marketing communication or unethical debt collection practices in both the Indonesian and US markets.

The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price delegation in the purchase of an aftermarket good through an indirect retail channel with symmetric information.

Using individual-level loan application and approval data from a North American financial institution and segment-level customer risk as the price discrimination criterion for the firm, the authors develop a three-stage model that accounts for the salesperson’s price decision within the limits of the latitude provided by the firm; the firm’s decision to approve or not approve a sales application; and the customer’s decision to accept or reject a sales offer conditional on the firm’s approval. Next, the authors compare the profitability of this sales force price delegation model to that of a segment-level centralized pricing model where agent incentives and consumer prices are simultaneously optimized using a quasi-Newton nonlinear optimization algorithm (i.e. Broyden–Fletcher–Goldfarb–Shanno algorithm).

The results suggest that implementation of analytics-driven centralized discriminatory pricing and optimal sales force incentives leads to double-digit lifts in firm profits. Moreover, the authors find that the high-risk customer segment is less price-sensitive and firms, upon leveraging this segment’s willingness to pay, not only improve their bottom-line but also allow these marginalized customers with traditionally low approval rates access to loans. This points out the important customer welfare implications of the findings.

Substantively, to the best of the authors’ knowledge, this paper is the first to empirically investigate the profitability of analytics-driven segment-level (i.e. discriminatory) centralized pricing compared with sales force price delegation in indirect retail channels (i.e. where agents are external to the firm and have access to competitor products), taking into account the decisions of the three key stakeholders of the process, namely, the consumer, the salesperson and the firm and simultaneously optimizing sales commission and centralized consumer price.

This research analyzes borrowers' credit utilization through prepayment behavior in peer-to-peer (P2P) lending. The authors investigate factors influencing the decision to prepay and assess the role of P2P lending as an alternative source of consumer credits.

The authors use individual loan-level data from the LendingClub, one of the largest P2P platforms in the USA. The authors use a Logit model and a sample selection model estimated by the two-stage Heckman method. The empirical analysis considers borrower-specific and loan-specific characteristics as well as macroeconomic factors.

The authors present a number of significant findings that can enhance understanding consumers' financing decisions. The authors offer evidence that borrowers are able to take advantage of cheaper loans offered by P2P lending to better manage credit card balance and consolidate debt. The authors find that borrowers tend to prepay P2P loans quickly when the aggregate cost of borrowing is low, suggesting that P2P lending offers an efficient alternative to obtain credit. This is particularly true for creditworthy borrowers that are able to take advantage of competing sources of finance. The authors' results provide evidence that P2P lending can improve consumers' optimal credit utilization.

P2P lending has grown exponentially and has become a significant credit supplier to consumers and small businesses. While the existing literature mostly focuses on default risks, prepayment has received much less attention. This research fills in the gap and investigates borrowers' prepayment behavior in P2P loans and the role of P2P lending as an alternative source of consumer credits.

This study aims to explore stigma in payday borrowing by investigating how the stigma associated with using such a service may spill over and affect other people, entities and relationships beyond the user within a service ecosystem.

In-depth interviews exploring consumers’ lived experiences and stigma were combined with publicly available reports from key stakeholders within the payday loan (PDL) industry to create a qualitative, text-based data set. The transcripts and reports were then analysed following thematic protocols.

Analysis reveals that the stigma associated with using a stigmatised service spills over, affecting not only the borrower but other actors within the service ecosystem. The analysis uncovers three important interactions that spilled over between the actors within the stigmatised service ecosystem (SSE), which can be damaging, enabling or concealed.

This study introduces and explores the concept of “SSEs” and investigates the impact of stigma beyond the dyadic relationships between service providers and users to consider the actors within the wider ecosystem. The findings reframe existing understandings about stigma, as this study finds that stigmatised services can play both a positive (enabling) and a negative (damaging) role within an ecosystem, and this study uncovers the role of stigma concealments and how they can affect relationships and value co-creation among different actors.

This study provides evidence for more robust policies for addressing stigma in different SSEs by mapping the effects of stigma spillover and its effects on the borrower and other actors.

This study contributes to reframing marketing priorities by extending existing work on consumer stigma by showing how the stigma of a PDL may spill over and affect other actors within a service ecosystem. Significantly, the interactions between the actors may have positive as well as negative outcomes.

This paper investigates the significant increase in S corporation banks converting to C corporations following the 2017 Tax Cuts and Jobs Act (TCJA) and the shift in motivations behind these conversions.

The paper uses bank-level panel data from Federal Deposit Insurance Corporation (FDIC) Call Reports to analyze the determinants of S bank conversions after the TCJA, comparing post-TCJA conversion trends with pre-TCJA trends utilizing an ordinary least squares (OLS) and logistics model.

The study finds that post-TCJA conversions are primarily driven by financially stable banks seeking improved tax conditions and relaxed shareholder restrictions as C corporations. This contrasts with pre-TCJA conversions, which were predominantly driven by financially distressed S corporation banks seeking new equity capital to maintain solvency.

The findings necessitate a comprehensive reconsideration of the Subchapter S status' sustained relevance for smaller institutions, especially in light of the comparative benefits now offered by the C corporation status post-TCJA. The results underscore the importance of ongoing academic investigation to deepen the understanding of the evolving fiscal landscape's effects on community banks, thereby contributing to the knowledge of the resilience and health of the US economy.

This research nudges policymakers and regulators to contemplate the ongoing relevance and advantages of the S corporation status. Given the substantial benefits conferred by the C corporation status in the post-TCJA environment, this study suggests that retaining the S corporation status may not offer the same appeal for smaller community banks as it once did.

This paper contributes to the broader understanding of the impact of tax policy on businesses' organizational choices, particularly in the banking industry and emphasizes the need for a comprehensive review of the S corporation status to assess its ongoing applicability in fostering small and community-focused financial institutions in light of the evolved corporate tax landscape.

This paper aims to improve the debate linking the business models of banks to their riskiness by checking if diversification exerts different impacts on the probability of bank distress depending on the level of capital buffers.

The paper focuses on a sample of listed bank holding companies observed between 2007:Q3 and 2022:Q4. The authors use three subindexes of bank diversification. The authors estimate a dynamic model specification using a system generalized method of moments with robust standard errors and consistent estimators under heteroskedasticity and autocorrelation within a panel. Sensitivity and robustness checks are performed.

Asset and income diversification increase the probability of distress in low-capitalized banks during normal periods (excluding periods of crises and high uncertainty). Concerning crisis periods, a marginal increase in asset diversification during the global financial crisis (GFC) and the COVID-19 pandemic crisis induces a more important increase in the probability of failure of well-capitalized banks relative to low-capitalized ones. Contrary to the results obtained for the GFC period, well-capitalized banks were found to pursue more careful funding diversification in reaction to the sudden increase of uncertainty during the Russia–Ukraine war.

Prudential supervision should concentrate on well-capitalized banks to encompass unexpected excessive risk-taking during crisis periods. Regulatory requirements should constrain fragile banks to avoid pursuing assets and income diversification strategies that increase earnings volatility.

The main originality of this paper is to consider the interaction between three different dimensions of bank diversification and capital regulation during stable and unstable periods using the marginal effect analysis. Moreover, this paper uses, initially, the GFC as the reference crisis period to study the impact of capital buffers and diversification interactions on the probability of bank distress. Then, the authors extend the observation period until 2022:Q4 to include two additional major events, namely, the COVID-19 pandemic and the Russia-Ukraine war.

This study aims to investigate window dressing as practiced by commercial banks in Kuwait, using monthly aggregate balance sheet data covering the period January 1993 to December 2017.

This study applies the structural time series model to decompose an observed time series into unobserved components based on monthly data covering January 1993 to December 2017 on the consolidated balance sheet of commercial banks in Kuwait.

The empirical results indicate that Kuwaiti commercial banks indulge in upward window dressing to boost size and liquidity. This kind of behaviour is indicated by a statistically significant rise in assets under the control of banks in December, followed by a statistically significant decline in January. The operation is funded by borrowing, leading to a December rise and a January fall in foreign and other liabilities, which are also under the control of commercial banks.

This study uses a novel methodology to detect window dressing based on the seasonal behaviour of balance sheet items. This study suggests a unified framework for the motives, targets, types and consequences of window dressing and how they are related.

This research examines the relationship between market power and liquidity creation in the specific context of bank profitability in the Vietnamese banking sector.

The study applies the methodology proposed by Berger and Bouwman (2009) to demonstrate the creation of bank liquidity through a three-step procedure for investigating the relationship between market power and liquidity creation. The three steps include non-fat liquidity (NFLC), fat liquidity (FLC) and system generalized method of moments estimation for panel data.

This study finds that liquidity creation increases when a bank has high market power. Further, highly profitable banks positively impact the market power of banks with regard to liquidity creation, relative to less profitable banks. Moreover, bank size, capital, economic growth and interest rate negatively influence bank liquidity creation, while credit risk positively relates to bank liquidity creation.

Measurements used in this study are based on the works of Berger and Bouwman (2009). There are specific variations, relative to Basel III. In addition, other variables significantly impact bank liquidity creation that have not been considered in the models, and a quadratic model should have been considered to measure market power and bank liquidity creation.

This study suggests that managers should control the liquidity of their banks by supervising vulnerable characteristics that have been mentioned herein and emphasizing improvements in profitability. Further, the government may consider encouraging banks to generate more liquidity by modifying regulations concerned with market power or reinforcing policies about improving the transparent business environment.

This study characterizes an attempt to examine the influence of market power on the liquidity creation of banks in Vietnam, which represents one of the most dynamic systems in Asia, with several varied participating banks. The current study also examines the same within the specific context of the modifying impact of the profitability of banks.

This study aims to explain how delinquency shocks in one type of debt contaminate the others. That is, the authors aim to shed light on the time pattern of delinquencies in different debt types.

This study analyzes the interdependencies between mortgage, credit card and auto loans delinquency rates in the USA from 2003 to 2019, using a panel VAR-X, the panel Granger causality tests and the Geweke linear dependence measures. The authors also compute the impulse response functions of a shock to one kind of debt on the others and decompose the variance of the forecast errors.

The authors find a statistically significant bidirectional Granger causality between the delinquencies. The Geweke measures of linear dependence and the Dumitrescu and Hurlin Granger non-causality tests support that mortgage predominantly causes credit card and auto loan delinquencies. Auto loans also cause credit card delinquencies. The impulse response functions confirm this pattern. This scenario aligns with a sequence where debtors consider rational first to default on credit cards, second on auto loans and only on mortgages in the last instance. Indeed, credit card delinquencies Granger-cause delinquencies in other debts when it occurs.

To the best of the authors’ knowledge, this is the first study to focus on the temporal pattern of delinquency rates for all the US states, using panel data. Furthermore, the results call for policymakers to design regulations to break the transmission channel from debt delinquencies.

The purpose of this study is to examine how households opt for their loan’s duration when it comes to energy efficiency retrofits (EERs). The primary focus is on the time horizon that these types of EERs will provide benefits to the households.

This study examines the second wave of the largest EER support program in Greece in recent years. The authors exploit an idiosyncrasy of the support program which offered interest-free loans. The baseline sample of this study includes approximately 18,000 households awarded the support and opted for a loan. To provide robustness and complement the analysis, the authors also use data from 38,000 households that were awarded support from the first wave of the EER program.

This study finds that EER investments that are likely to deliver longer-term benefits, in the form of energy savings, are positively associated with longer duration. This finding implies that households view such EERs as long-term investments that will consistently provide benefits in the future, thereby tolerating a longer period of incurring the inconvenience of paying monthly installments.

This study posits that an EER can be perceived by the household as an investment that saves money in the long term because of more efficient energy use. To this end, the authors bring forward the duration of the benefits accrued to the household as a driving factor to the household’s decision over the length of the loan.

This study expands on prior literature that has focused on consumer and loans for durables (e.g. cars) by examining EERs. However, EERs are different, as they can save households money in future periods. In addition, house EERs are at the forefront of energy policies and the design of future support programs at the epicenter of several initiatives.