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The primary objective of the paper is to demonstrate the importance of borrower‐specific characteristics as well as local situation factors in determining the demand prospect as well as the risk of credit loss on residential housing loan repayment behavior in India.

Using 13,487 housing loan accounts (sanctioned from 1993‐2007) data from Banks and Housing Finance Cos (HFCs) in India, this paper attempts to find out the crucial factors that drive demand for housing and its correlation with borrower characteristics using a panel regression method. Next, using logistic regression, housing loan defaults and the major causative factors of the same are examined.

In analyzing the housing demand pattern, some special characteristics of the Indian residential housing market (demographic and social features) and the housing loan facility structure (loan process, loan margin, loan rate, collateral structure etc.), that have contributed to the safety and soundness of the Indian housing market have been deciphered. The empirical results suggest that borrower defaults on housing loan payments is mainly driven by change in the market value of the property vis‐à‐vis the loan amount and EMI to income ratio. A 10 percent decrease in the market value of the property vis‐à‐vis the loan amount raises the odds of default by 1.55 percent. Similarly, a 10 percent increase in EMI to income ratio raises the delinquency chance by 4.50 percent. However, one cannot ignore borrower characteristics like marital status, employment situation, regional locations, city locations, age profile and house preference which otherwise may inhibit the lender to properly assess credit risk in home loan business, as the results show that these parameters also act as default triggers.

This study contributes on the micro side of the housing market in India, since it uses unique and robust loan information data from banks and HFCs. The empirical results obtained in this paper are useful to regulators, policy makers, market players as well as the researchers to understand housing market demand and risk characteristics in an emerging market economy such as India.

In 2010 Drive Property Solutions, a special servicing firm in Chicago, had partnered with Spiner Capital to win an FDIC auction of distressed debt. Included in that auction was the defaulted mortgage note on Northwinds Community Crossing, a retail strip mall in suburban Savannah, Georgia, which had been in default since November 2009. Sam Schey, an asset manager at Drive, needed to decide how to maximize recoveries from the nonperforming loan.

A simulation methodology is applied to the loan loss reserve process of an agricultural lender. Weaknesses of the point‐estimate approach to estimating loan loss reserves are addressed with a “bottom‐up” model. Modeling includes consideration of the producer’s and the lender’s diversification efforts. Implementation of this model will provide the lender a better understanding of the institution’s portfolio risk, as well as the credit risk associated with each loan. This study compares the lender’s loan loss estimates to a distribution of losses with associated probabilities. The comparative results could provide the lender a basis for setting probability levels for determining the regulatory required level of loan loss reserve.

The purpose of this paper is to investigate how China's rural public pension affects farmers' formal borrowing, which has always been rationed.

This paper uses a difference-in-difference (DID) estimation to evaluate the effect of the implementation of the New Rural Pension Scheme (NRPS) at the end of 2009 on farmers' formal borrowing.

The results show that the NRPS significantly reduces farmers' formal borrowing from rural credit cooperatives (RCCs). The effect is significant among the elderly, eastern China and high-income groups.

This study contributes to the literature by identifying another potential reason for rural formal credit shortage. Policymakers and rural formal financial institutions should consider the demand side problem of lending.

In this study, the authors present unique evidence on bank lending types by paying particular attention to the factors that drive the different types of bank lending in Africa using bank level data.

In presenting such evidence, the study employs a robust fixed effect panel data with year and technological controls comprising 57 banks from 29 African economies between 2006 and 2015.

The results show that different factors affect different bank lending types differently in Africa. Specifically, while the authors find that total or aggregate bank lending is positively driven by bank capitalization and spread but negatively driven by bank size, corporate and commercial bank lending is positively driven by bank size, spread, inflation, elections and extent of business disclosure but negatively driven by bank capitalization, loan loss reserves, operational cost and gross domestic product per capita. Moreover, interbank lending is both negatively and positively driven by bank capitalization and size, respectively, while other bank lending type is driven positively by financial crisis but negatively driven by bank size, inflation and extent of business disclosure. Finally, retail and consumer lending is positively driven by bank capitalization, loan loss reserves and spread while negatively driven by bank size and inflation.

These imply that bank managers, regulators, policymakers and researchers must begin to see each bank lending category separately and independently since varying factors influence the different categories of bank lending differently.

The study presents new insights into how different factors determine different lending types in Africa for the first time to the best of the authors’ knowledge.

The purpose of this paper is to find out how much the purchasing and lending of individual electronic books really cost. Additionally, this paper investigates which kind of approach would be cheaper and less time-consuming for library staff as well as library patrons – purchase or short-term loan.

This study was conducted at the Tallinn University of Technology (TalTech) Library. This is the only university library in Estonia where the Ebook Central platform is adapted on a large scale. For background information, all statistical data of expenditures and average prices of purchases and short-term loans during April 2013 and December 2018 were calculated and analysed. Through a case study, the time-driven activity-based costing (TDABC) method was used – all activities related to acquisition and lending of eBooks were identified, recorded in detail and analysed. More specifically, the study concerned eBooks offered in the Ebook Central platform and covered purchasing and short-term loan processes, such as receipt of order request, communication with the patron (if necessary) making a purchase or short-term loan, and feedback to the patron.

While analysing the results, it appeared there are many additional activities libraries can avoid during the eBook short-term loan process compared to purchasing. As a normality in TalTech library, purchase is always followed by a cataloguing process which increases the time and cost of this process in turn. On the basis of the current study, it can be said that short-term loan is a cheaper way to use eBooks; many activities related to the short-term loan of eBooks take remarkably less staff time and financial resources than eBooks acquisition/purchasing activities. When analysing the literature reviewed as well as collected statistical data, the problem may arise when the decision-maker librarian is not experienced, professional or long-sighted enough to understand the future behaviour of the patron or the usage of the specific eBook. When the usage reaches a certain point, it becomes an indicator of continuing future usage and so it makes sense to purchase the eBook, as the library pays no further charges once an eBook is owned.

Most studies reviewed by the author are based on the statistical data collected about expenditure, costs, usage, cost-per-use, etc. of short-term loans and purchases. While acquisitions costs, average cost per acquired item per year and cost per usage are easy to identify, it has been difficult to measure associated costs of acquisition, cataloging and circulation. The TDABC methodology seems to be one of the best tools for understanding cost behaviour and refining a cost system for university libraries. Based on the information known to the author, there is no study carried out using the TDABC methodology for analysing costs of eBook programmes.

This research aims to address the transformative service research (TSR) agenda by examining the issue of caste-based financial exclusion in microcredit lending services in India. To do so, it draws on statistical discrimination theory from labour economics to develop and test a multi-level prosocial service orientation framework.

Survey data come from 238 loan officers and 250 lower caste loan applicants across 43 microfinance institutions (MFIs) in India. The data are analysed using hierarchical linear modelling, a method appropriate for investigating micro- and macro-level organisational variables.

At the micro level, the service orientation factors of social dominance orientation and algorithmic-driven lending decisions affect financial exclusion of lower caste bottom-of-the-pyramid (BoP) vendors. At the macro level, the service orientation mechanism of inclusive service climate reduces caste-based financial exclusion, while the level of lending risk to reduce discrimination receives no support.

Research in other contexts is warranted to confirm the prosocial service orientation model. Methodological challenges at the BoP also present avenues for insightful work.

The study shows the importance of an inclusive service climate and reassessment of algorithmic-driven lending decisions to eliminate caste-based indicators in lending decisions. It also recommends policy reform of caste-based affirmative action at the macro- and micro-levels of lending decisions.

This research extends the TSR agenda to include caste-based discrimination in prosocial services. It takes a multidisciplinary perspective on services research by incorporating statistical discrimination theory from labour economics to extend understanding of service orientation.

This paper aims to analyze how banks transmit shocks that hit the debt market to their borrowers. Recent financial crisis demonstrated that the banking system can be a pathway for shock transmission.

Bank-level panel regressions.

This paper shows that when banks experience a shock to the cost of their bond financing, they pass a portion of their extra costs or savings to their corporate borrowers. While banks do not offer special protection from bond market shocks to their relationship borrowers, they also do not treat all of them equally. Relationship borrowers that are not bank-dependent are the least exposed to bond market shocks via their bank loans. In contrast, banks pass the highest portion of the increase in their cost of bond financing to their relationship borrowers that rely exclusively on banks for external funding.

These findings show that banks put more weight on the informational advantage they have over their relationship borrowers than on the prospects of future business with these borrowers. They also show a potential side effect of the recent proposals to require banks to use CoCos or other long-term funding.

The findings are timely, given the ongoing debates on the proposals to introduce bail-in programs and proposals to require banks to use CoCos or other long-term funding.