We explore the intertwined dynamics of asset prices and the macroeconomy in a Behavioural model of Credit Cycles (BCC) characterized by a credit friction à la Kiyotaki and Moore and heterogeneous expectations cum heuristic switching à la Brock and Hommes. This behavioural approach allows to...

We explore the intertwined dynamics of asset prices and the macroeconomy in a Behavioural model of Credit Cycles (BCC) characterized by a credit friction à la Kiyotaki and Moore and heterogeneous expectations cum heuristic switching à la Brock and Hommes. This behavioural approach allows to...

Purpose - to analyse the main borrowing alternatives available to Lithuanian households and the credit market as a whole, focusing on its peer-to-peer (P2P) segment, the forecast of its growth, and possible challenges. Research methodology - the research methods applied were scientific...

We explore whether the transparency in banks' lending activities enhances the harmonization of credit terms that a bank offers across its different geographic regions. We take advantage of a novel loan-level reporting initiative by the European Central Bank, which requires repo borrowing banks...

We explore the intertwined dynamics of asset prices and the macroeconomy in a Behavioural model of Credit Cycles (BCC) characterized by a credit friction à la Kiyotaki and Moore and heterogeneous expectations cum heuristic switching à la Brock and Hommes. This behavioural approach allows to...

We propose a new methodology to identify aggregate demand and supply shocks in the bank loan market. We present a model of sticky bank-firm relationships, estimate its structural parameters in euro area credit register data, and infer aggregate shocks based on those estimates. To achieve...

Remuneration-post-verification subsidies and microcredit have been postulated as potential solutions to imperfect capital markets and commitment problems that impede lumpy human capital investments, but little is known about the merit of combining these financing mechanisms. We draw on a cluster...

We conduct a Monte Carlo experiment using an ad-hoc New Keynesian model and a tractable agent-based model to generate artificial credit cycle episodes. We show that fluctuations in the implicit measures of the natural rate of interest obtained using a conventional trivariate Kalman filter on...

We examine whether banks manage firms’ climate transition risks via corporate loan securitization. Results show that banks are more likely to securitize loans granted to firms that become more carbon-intensive. The effect is more pronounced if banks have a lower willingness to adjust loan...

Syndicated loan data provided by DealScan has become an essential input in banking research over recent years. This data is rich enough to answer urging questions on bank lending, e.g., in the presence of financial shocks or climate change. However, many data options raise the question of how to...

The paper analyses development and drivers of accelerated growth of peer-to-peer (P2P) lending in Lithuania and its impact on the consumer credit market with a focus on related sustainability issues. Legislative discrepancies between the P2P and banking segments are analysed and their role in...

Using spatial fixed effects and time-varying controls, this paper draws on complete registry data for 1981-2019, supplemented by satellite imagery, to analyze impacts of urban land titling for some 40,000 grid cells in Lesotho. Beyond confirming the short-term impacts on female co-ownership and...

This paper investigates the characteristics of resource-backed lending across Sub-Saharan Africa. To shed light on this type of lending, the paper presents new information on 30 resource-backed loans between 2004 and 2018, identified through publicly available information. These loans were...

Using micro-level data for the U.S., we provide new evidence-at national and state levels - of a positive (negative) relationship between the standard deviation (coefficient of variation) and the average in bank lending-rate markups. In a quantitative theory consistent with these empirical...

Motivated by the build-up of shadow bank leverage prior to the financial crisis of 2007-2008, I develop a nonlinear macroeconomic model featuring excessive leverage accumulation and endogenous financial crises to capture the observed dynamics and to quantify the build-up of financial fragility....

We study third-party loan guarantees in a model in which lenders can screen, learn loan quality over time and can sell loans before maturity when in need of liquidity. Loan guarantees improve market liquidity and reduce lending standards, with a positive overall welfare effect. Guarantees...

We develop a novel technique to extract credit-relevant information from the text of quarterly earnings calls. This information is not spanned by fundamental or market variables and forecasts future credit spread changes. One reason for such forecastability is that our text-based measure...

The aim of this paper is to investigate whether the market structure and new technology have an impact on bank loan markets in the European Union. The impact of new technology on three types of bank loans (residential mortgage loans, consumer loans, and corporate loans) is quantified separately...

We investigate the impact of Environmental, Social, and Governance (ESG) ratings on borrower-lender matching and the consequences of this matching for syndicated loan contracts. We find that firms with high ESG scores are more likely to borrow from banks likewise with high ESG and that this...

Secured and unsecured credit composition differently affects the business cycle. US credit accounts are decomposed considering secured and unsecured contracts for businesses and households and their sample correlations with real activity compared to the conditional evidence from an estimated...

What happens to personal credit interest rates banks charge when a credit union operates in a location? We gather a unique dataset from the Brazilian Central Bank containing 370,383 location-month observations from 6,225 distinct locations and estimate dynamic panels of determinants of bank...

We show how to measure the welfare effects arising from increased data availability. When lenders have more data on prospective borrower costs, they can charge prices that are more aligned with these costs. This increases total social welfare, and transfers surplus from borrowers to lenders. We...

We coin the term credit market fluidity to describe the intensity of credit reallocation, whose properties and implications we study within the commercial loan market in France over the period 1998 through 2018. We base our analysis on credit register data and thus provide a more complete...

Aggregate empirical evidence on the financial accelerator effect is highly debated. In this study, we apply multiresolution analysis, based on the continuous wavelet transform, to investigate the relationship between aggregate net worth and credit market variables in the commercial and...

Open banking facilitates data sharing consented by customers who generate the data, with a regulatory goal of promoting competition between traditional banks and challenger fintech entrants. We study lending market competition when sharing banks' customer data enables better borrower screening...

In opaque markets plagued by asymmetric information, such as interbank and OTC markets, firms borrow from many lenders at once and individual contracts are not observable to other lenders. We identify a novel information externality in a model based on this type of setting. Due to adverse...

Have post-crisis reforms purged mortgage markets of adverse selection? I show that loans synthetically sold by Fannie Mae through Credit Risk Transfers are ex post riskier, controlling for observable quality, than those they keep on balance. Transfers that go unreported on public data are...

I construct an infinite-horizon dynamic stochastic general equilibrium model with a collateral constraint and actual default in equilibrium. Entrepreneurs borrow from households through non-recourse debt contracts backed by capital goods. By taking into account the non-linear payoffs of the...

We study the impact of AI and cryptocurrencies on consumer surplus in banking, on the price of credit, and on the price of checking accounts. We solve a competition model of banking and credit which includes client naivety, heterogeneous client risk, and imperfect risk screening. These features,...

We use unique relationship-level data which includes banks’ private risk assessments of corporate borrowers to quantify how competition among banks a ects the risk sensitivity of interest rates in the Norwegian corporate credit market. We show that an increase in competition makes corporate...

Using unique data from a major Chinese bank, we find that following the bank’s adoption of a nonlinear incentive scheme for its credit card sales managers, the number of credit cards approved increases sharply at the end of each month. Further analysis shows that this occurs through a...