This study tests the connectionbetween corporate governance structures and firm value, incorporating financial distress as a mediating mechanism among construction companies listed in ASEAN markets. Utilizing a sample of 58 firms drawn from an initial population of 169 companies over the...

The financial crisis of 2007-2008 highlighted the risks that liquidity spirals pose to financial stability. We introduce a novel method for studying liquidity spirals and use this method to identify spirals before stock prices plummet and funding markets lock up. We show that liquidity spirals...

We argue that the rapid asset growth of nonbank financial intermediaries (NBFIs) relative to banks is the outcome of transformations of risks between banks and NBFIs that increase the interconnectedness of the two sectors. These transformations are consistent with avoiding tighter, post-GFC bank...

Bank failures can stem from runs on otherwise solvent banks or from losses that render banks insolvent, regardless of withdrawals. Disentangling the relative importance of liquidity and solvency in explaining bank failures is central to understanding financial crises and designing effective...

This paper examines the relationship between location, liquidity, and prices in housing markets. We construct spatial datasets for German and U.S. cities and show that liquidity and prices decline with distance to the city center. To rationalize these results, we build a structural model with...

We use a novel data set containing all corporate loans throughout the Eurozone to document a series of novel stylized facts on the relationship between collateral and the probability of default. First, we show that the pervasive empirical finding that riskier borrowers pledge collateral is...

The Financial Lobster Bias describes how SMEs, driven by distorted liquidity perceptions, engage in aggressive expansion until financial breakdown occurs. Using data from 10,412 Spanish SMEs (2000-2024), this study shows that liquidity misperception-measured through two versions of the Liquidity...

Effective monetary policy requires maintaining the short-term interbank rate close to the policy rate while limiting its volatility, ensuring smooth transmission, and reducing banks' liquidity and interest rate risks. This paper seeks to identify and explain the drivers of volatility in...

Using 33 years of intraday Treasury data, we provide the first high-frequency evidence on auction-day price pressure: yields rise in the hours before auction and reverse afterward. This pressure strengthens when dealers face tighter risk-bearing constraints and weakens when investor demand is...

Conventional credit risk models understate tail risk by centering on mean default probabilities and neglecting distributional and sectoral heterogeneity. We propose a Quantile Probability of Default (QPD) framework based on unconditional quantile regressions estimated on flow default rates from...

Securities dealers play a central role intermediating funds in the U.S. short-term money markets. This intermediation involves risk, which can be mitigated by holding buffers of liquid securities. The cost of holding these buffers - the liquidity risk premium - is driven by the opportunity cost...

Interpretability analysis methods, such as LIME and SHAP, are widely employed to explain the predictions of artificial intelligence models; however, they primarily function as post hoc tools and do not directly quantify the intrinsic interpretability of the models. Although it is commonly...

We investigate how the use of bankruptcy as an implicit health insurance varies across households, focusing on heterogeneity by asset holdings, race, marital status, and educational attainment. Using a difference-in-differences design based on the 2005 bankruptcy reform, we find that the reform...

This policy paper examines the effects of the introduction of the MiFID II / MiFIR framework on the transparency regime for sovereign bonds. The main purpose of the framework is to provide markets with real-time information and lower market asymmetries, thereby increasing liquidity in the...

Existing research on financial distress typically treats failure as a single event and pays limited attention to the dynamic dependence between recurrent distress episodes. Ignoring such dependence can lead to biased hazard estimates and weaker predictive performance. We propose a...

This note reviews empirical evidence on the impacts of insolvency regimes on entrepreneurship, access to credit, preservation of viable businesses and jobs, and other variables contributing to economic development. Its objective is to provide policy makers with evidence to guide insolvency...

Fiat-backed stablecoins are expanding, and their issuers may attain systemic relevance as reserve portfolios grow and as they become increasingly intertwined with financial markets. This paper analyzes the resulting risks and the design choices that can mitigate them. A detailed...

This study aims to examine whether family firms differ from nonfamily firms in their propensity to save cash, particularly in response to new investment opportunities, and to assess how investors value the cash holdings of family versus nonfamily firms in light of potential agency concerns. The...

In this paper, we seek to ascertain whether the recently developed ordered fuzzy number (OFN) representation of a limit order book (LOB) by Marszałek and Burczyński (2024) may serve as a measure of stock liquidity. In particular, we aim to test whether this measure contains similar or distinct...

This article provides a novel insight into whether earnings manipulation signals are reflected in banks' internal credit risk estimates, as measured by the probability of default (PD) estimates, and whether such manipulation has an impact on credit risk (point in time or deferred). The...

This study examines the impact of corporate governance on sustainability-related risk in Indian banks across crisis and post-crisis periods. Using data from 37 public and private banks between 2006 and 2018, it analyzes how board characteristics influence liquidity and solvency risk. Panel...

Nowadays, the European economy faces significant global challenges that threaten the continuity of economic growth, especially in the German manufacturing sector, which is under strain from financial turmoil, resulting in numerous layoffs and firm closures. In this respect, FinTech significantly...

This study evaluates the early impact of Central Bank Digital Currencies (CBDCs) on key financial indicators in The Bahamas, focusing on the introduction of the SandDollar-the world's first fully implemented retail CBDC. Using the Synthetic Control Method (SCM), the analysis constructs...

This study develops a machine learning framework to improve the prediction of automobile loan defaults by integrating explainable feature selection with advanced resampling techniques. Using publicly available data, we compare Logistic Regression, Random Forest, eXtreme Gradient Boosting...