As a cornerstone of the modern financial safety net, the Lender of Last Resort (LOLR) is essential in mitigating liquidity crises and containing financial contagion. However, during periods of economic stability, risk-taking incentives in the banking sector may undermine its effectiveness. Using...

This WBG study examines what makes distressed asset markets work — and how governments can create the right conditions for private sector engagement. It provides policymakers, regulators, and financial institutions with a practical framework to assess market readiness, identify policy and...

We develop a novel sentiment measure derived from survey data to empirically vali date the Minsky-Kindleberger view on financial crises. Using survey data from multiple countries, we decompose beliefs into components explained by public information that are orthogonal to optimal machine beliefs,...

This paper revisits the "too much finance" hypothesis by reassessing the relationship between financial depth and economic growth using an expanded dataset (1960-2019) and a systematic estimation strategy that avoids reliance on any single, potentially arbitrary sample window. We estimate both...

Financial Conditions Indices (FCIs) are a widely used tool for assessing the broader monetary policy stance beyond the central bank's direct control. This paper presents a novel vector autoregressive (VAR) model that includes key macroeconomic variables and maps financial variables into a single...

Financial markets and foreign investments could play an effective role in determining the environment and income of GCC resource-rich economies. Therefore, the effects of Financial Market Development (FMD) and Foreign Direct Investment (FDI) on Carbon Intensity (CI) from oil, gas, gas flaring,...

Workforce adjustments, such as mass layoffs, are significant corporate events that can influence stock returns and volatility, yet their broader asset-pricing implications remain underexplored. We examine the impact of such workforce shocks on stock performance from an asset-pricing perspective....

This research explores the application of extreme value theory in modelling and quantifying tail risks across different economic equity markets, with focus on the Nairobi Securities Exchange (NSE20), the South African Equity Market (FTSE/JSE Top40) and the US Equity Index (S&P500). The study...

This paper examines the relevance of banks' exposure to climate transition risk in the interbank lending market. Using transaction-level data on repo agreements, we first establish that banks with higher exposure to transition risk face significantly higher borrowing costs. This premium is a...

Purpose - This study aims to forecast the stock market behavior of BRICS nations (Brazil, Russia, India, China and South Africa) using advanced machine learning models. The focus is on identifying market trends, predicting future index prices and analyzing returns. Design/methodology/approach -...

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...

Cryptocurrencies play a central role in modern financial markets; however, geopolitical tensions and environmental concerns raise critical questions about their stability and informational efficiency. This study distinguishes between green cryptocurrencies (GCs), based on low-energy validation...

The smooth functioning of the repo market is essential to financial stability. However, the market has faced repeated episodes of stress in recent years. This paper examines the resilience of the euro-denominated repo market during recent episodes of elevated financial stress, drawing on...

Financial risk early warning systems are essential for proactive risk management in volatile markets, particularly for emerging economies such as China. This study develops a hybrid deep learning model integrating Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), and Gated...

The financial environment is under great pressure as a result of dynamically changing macroeconomic factors. In this situation, full of uncertainty, understanding the relationship between macroeconomic factors and financial markets becomes a key issue. Market analysts and investors are...

This paper develops a tractable consumption-based asset-pricing model in an i.i.d. economy that combines rare consumption disasters with ambiguity aversion implemented as a one-period entropic tilt under CRRA utility. Closed-form expressions for the risk-free rate, equity return moments, and the...

Once a famous tale of conquest, law and foreign bond markets, the saga of the Silesian Bonds of 1734-37 is missing from the literature on sovereign debt. The Silesian Bonds were among the earliest foreign currency sovereign bonds issued. They go into the market 84 years prior to the 1818...

Despite rising stock markets in the United States and Europe from 2017 to 2024, we document that average daily stock market performance becomes negative when weighted by the amount of media coverage. We propose an explanation for this media negativity bias that does not rely on a bad-news bias...

In essence, the currently large stablecoins are electronic money issued by narrow balance sheet vehicles into a distributed ledger (or a "programmable platform"). Many believe that they will have significant success as a new form of money. Members of the current US administration expect that US...

Europe's innovation bottleneck increasingly manifests in the difficulty of scaling promising startups into globally competitive firms. Central, East and Southeast Europe (CESEE) is particularly exposed to this due to limited finance and local acquirers, which lead to serious risks of relocation...

This paper analyses the role of Sukuk issuance in driving economic growth amid the Global Financial Crisis (2007-2009), considering both short-term fluctuations and long-term outcomes during periods of financial distress.Using the Pooled Mean Group (PMG) approach of the ARDL model, the study...

Cross-country evidence finds that there are low levels of financial literacy. Financial literacy is often measured using the "Big Three" questions about interest rates, inflation, and risk. These questions are usually part of a longer survey. Respondents in long surveys may suffer survey fatigue...

This paper investigates tail-risk transmission and asymmetric dependence in commodity markets using an asymmetric fuzzy vine copula framework applied to gold, crude oil, natural gas, and silver from 1 January 2015 to 1 January 2025, extracted from Yahoo Finance. Bootstrap-based trapezoidal fuzzy...

Using a novel arbitrage-free dynamic term structure model of nominal and real bond prices that accounts for bond-specific liquidity risk premia, this paper provides estimates of bond investors' inflation expectations and associated inflation risk premia in South African sovereign bonds. The...