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In seminal work, Den Haan et al. (2007, 2010, 2011) show business loans respond in the opposite direction of what may be intended by monetary policy action in the United States and Canada. Based on various approaches, identification schemes, and samples, we document evidence this loan puzzle is not exclusive to developed economies but is also pervasive in emerging markets. We find business loans generally decline following expansionary monetary policy shocks. A preponderance of statistical and structural evidence indicates important transmissions of this puzzle from the United States to emerging markets.

The author examines the presence of foreign currency effects and the risk-mitigation channel through which a foreign-currency denomination reduces the loan spread.

The author runs regression analyses using loan data of firms incorporated in member countries of the Association of Southeast Asian Nations (ASEAN) from 2000 to 2020. The author also runs several robustness tests to address forward exchange rate bias, endogeneity concern and sample-selection bias.

Consistent with the currency matching motive of foreign debt use, the results show that a foreign currency denomination is associated with a lower spread and the relationship is amplified when there is a positive correlation between the changes in the return on assets and in the exchange rate.

This paper enriches existing studies on the use of foreign debt as an exchange rate risk management tool.

The results suggest that as firms utilize foreign debt and policymakers need to design banking regulations that not only oversee but also encourage the use of foreign debt as a hedging instrument to lower firms' borrowing costs.

This paper contributes to extant studies by examining the presence of foreign currency effects in emerging countries' loan markets and by exploiting the micro-level demand-side factors as the channel through which the currency denomination affects the loan spread.

The purpose of this paper is to gain insights useful to explain the loan puzzle: the unexpected increase of loans to firms in case of a monetary tightening. To this end, the authors develop the analysis using several loan categories distinguished by lender, scope and borrower. This approach helps to unveil significant differences on how those categories respond to the same shock and allow to evaluate possible alternative explanations for such differences.

The paper is empirical. The analysis is based on a large vector auto-regression, estimated using Bayesian techniques and has as object the US economy.

The findings support a supply-side explanation of the loan puzzle, i.e. banks reshuffle their portfolio in favor of short-term business loans after a monetary tightening. Moreover, the authors achieve the following results. First, the analysis shows that loans to small firms increase as well, but less than what observed with large firms: small firms stay between large firms and households. Second, considering advances and other loans allows to conclude that finance companies behave very much as banks. Third, some limited evidence suggests that not just industrial and commercial loans to firms might increase but also more long-term loans, such as mortgages.

The authors develop an analysis, based on state-of-the-art Bayesian techniques, that reveals the differential response of well-distinguished loan categories to several shocks; monetary and real shocks in the first place. After showing their heterogenous response, the authors discuss it in detail, with specific reference to supply and demand factors of credit intrinsic to the transmission mechanism. With respect to previous contributions, the authors consider a plurality of loan categories functional to understand the reason behind each specific response. This allows to conclude in favor of supply factors as an explanation of the unexpected increase of loans to corporate firms in case of a monetary shock.

The purpose of this study is to provide an econometric modeling of demand for bank credit and not only offer useful insights to the decision-makers in the public and private sector but also support researchers and analysts in recognizing the determinants of lending in a major dynamic economic context.

This study addresses the “supply-versus-demand-puzzle” by using a demand relationship and model loan demand as a function of interest rates and economic activity that may also capture supply effects. Loan demand modeled as a function of interest rates and economic activity not only represents a demand relationship but also captures supply effects. Using the generalized methods of moments estimation, the estimations are made robust to heteroskedasticity and/or autocorrelation of unknown form. GMM–Time series (HAC) option extends the robustness by using the weighting matrix that is robust to the contemporaneous correlation of unknown form to the autocorrelation of unknown form.

In a bank-dominated financial system like India, lending rates play a significant role in the transmission of monetary policy, as well as triggering and controlling loan demand and thereby exercising a pervasive effect on the output in the economy. The estimates indicate that the elasticity of loan demand is largely determined by the lending rate (0.6) and the economic activity (0.688). For one percentage point increase in capital ratio, the loan spread would rise by 31.4 basis points, which in turn would cause an increase of 18.8 basis points in loan demand assuming that risk-weighted assets are unchanged.

This is the first of its kind studying a banking system dominated emerging economy. Second, this study is based on a rich data set covering the period from 1979 to 2012, than other papers did, to capture the long-run association involving credit booms and busts and, thus, helps in avoiding the problem of estimation spanning the dominance of either boom or the bust alone. With a newer approach for quantification of the impacts of new regulatory standards, this study offers novel insights for the estimation of lending spreads.

This study aims to examine some of the commonly proposed deviants associated with the banking industry in the context of the capital structure puzzle. The paper considers the role of guarantees, information asymmetry and other frictional factors in the context of modern financial markets and examines whether these factors deserve special consideration in solving the capital structure puzzle for banks.

The authors adopt the argumentation theory model proposed by Toulmin (1958) as the methodological approach in this paper.

The findings from this paper demonstrate that any solution to the capital structure puzzle, whenever available, will also solve the capital structure puzzle for banks without additional efforts. The focus of future research should be on solving the generic capital structure puzzle for a universal set of firms rather than focusing on the banking industry as a subset with unique features.

The paper adopts a novel methodological approach offered by argumentation theory to pursue the enquiry. To the best of the knowledge, this paper is the first paper in the finance literature that uses argumentation theory to develop a theoretical construct. The finding from this study offers guidance for the proliferation of research paradigms in the capital structure puzzle.

The dependence of farmers on money lenders for agricultural credit despite the penetration of the formal financial sector with subsidized interest rates remains an economic puzzle. The purpose of this paper is to revisit the relationship between money lenders and farmers in the presence of trade-loan nexus.

The study provides a theoretical framework supported by empirical evidence. It uses primary survey data of farmers in a major potato producing district of West Bengal, India. For the empirical analysis, apart from descriptive statistics, the authors use a logit regression model to derive insights from some testable hypotheses.

The study finds that trade-loan nexus increases defaults on agricultural loans through two channels: first, by increasing loan requirement and repayment obligations through high input prices and interest rates, respectively; and second, by reducing income of farmers by setting low prices for the output.

The functioning of money lenders in rural areas, including their sources of finance and political control over local economy, and the existing social hierarchies in the rural context will have to be studied in detail to understand the complexities of the issue.

The findings of the study underline the need for policy initiatives to break the trade-loan nexus to reduce the dependence of farmers on money lenders.

The higher defaults help the money lender to sustain in the rural agricultural loan market as the formal sector becomes reluctant to lend in the presence of pervasive defaults.

The study is entirely original based on primary survey data of seven blocks of a major potato producing district in West Bengal, India. It could be the first such study on the subject. The findings are fresh and expected to contribute to development economics and agriculture finance literature and policy making.

The purpose of this literature review paper is to define consumer finance, describe the scope of consumer finance and discuss its future research directions.

In this paper, consumer finance is used as a synonym of household finance. Consumers refer to individuals and families. After defining the term “consumer finance,” we conducted a critical review of consumer finance as an interdisciplinary research field in terms of money managing, insuring, borrowing and saving/investing. Future research directions are also discussed.

This paper discusses similarities and differences among several terms such as consumer finance, household finance, personal finance, family finance and behavioral finance. The paper also reviewed key studies on consumer financial behavior around four key financial functions, namely, money management, insurance, loan and saving/investment and several nontraditional topics such as fintech and financial capability/literacy. The paper also introduced several datasets of consumer finance commonly used in the United States and China.

This paper clarified several similar terms related to consumer finance and sorted out the diverse literature of consumer finance in multiple disciplines such as economics, finance and consumer science, which provide a foundation for generating more fruitful research in consumer finance in the future.

The purpose of this paper is to examine how individual risk preference influences the borrowing of payday loans – a prevalent type of cash loan in the USA with exorbitantly high-interest rates. Additionally, this paper tests how risk preference determines other alternative financial services (AFS), including pawn shops, rent-to-own purchases, title loans, etc.

The author applies Probit and Tobit regressions to test the relationship between individual risk preference and payday borrowing, based on the state-by-state survey data from National Financial Capability Study (NFCS) sponsored by Financial Industry Regulatory Authority (FINRA) Investor Education Foundation.

Individuals with higher risk tolerance are more likely to borrow payday loans and other AFS, after controlling for financial situation, financial literacy, overconfidence and demographic features.

This paper is the first to study risk preference as an explanation to the high cost and widely used payday loan services in the United States of America. This study provides evidence that these cash loans are determined by inherent human characteristics. The finding provides new insight for the policymakers and regulators in the consumer debt market.