Hybrid threats encompass a range of hostile activities aimed at achieving geopolitical objectives, including cyberattacks, infrastructure sabotage, espionage, economic and political coercion, disinformation, and other forms of hybrid warfare. We construct a Geopolitical Hybrid Threat (GHT) index...

German government debt is considered a safe asset in times of turbulence. We estimate the impact of changes in the risk appetite of global investors on weekly investment fund flows into the German sovereign bond market. Our key contribution is to allow the impact of such shocks to depend on the...

Recent studies have focused on the detrimental effects of global economic policy uncertainty (EPU) on firm profitability. Nevertheless, none of these studies has focused on a developing economy like Nigeria. To understand this, the study conducted a host of regression analyses using the Driscoll...

Repo markets clear either bilaterally over the counter (OTC) or through central counter-parties (CCPs), which differ in how counterparty risk is priced. In bilateral markets, repo rates reflect borrower-specific risk, while CCP clearing pools counterparties and applies a common pricing rule. We...

We use a comprehensive Swedish credit register to document that firms across the size distribution have access to substantial borrowing capacity via credit lines. However, most firms choose not to use all available credit, even though interest rates are low compared to their return on equity....

This report takes stock of government debt ratios in eight Central, Eastern and Southeastern European EU member states (CESEE-8) in 2024, including comparisons to 2023. It analyzes the major drivers behind debt developments, such as primary balances, interest payments, the impact of inflation,...

A growing body of empirical research has developed measures of economic preferences related to risk taking and intertemporal choice. This research has documented pronounced heterogeneity in preferences across and within societies, and also provided evidence that these differences are culturally...

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...

This study examines the impact of the Russia-Ukraine war on crude oil tail risk using the Conditional Autoregressive Value at Risk (CAViaR) framework. We analyzed 2364 daily observations of West Texas Intermediate (WTI) crude oil futures spanning 1 January 2015 to 11 December 2023, thereby...

Partial Credit Guarantees (PCGs) are central to MSME finance, yet their pricing impact is uneven. Using loan-level evidence from 28,356 guaranteed MSME loans issued in Kenya between 2013 and 2024, this paper examines whether PCGs reduce defaults and borrowing costs, and separately benchmarks...

This paper examines the connection between Environmental, Social, and Governance (ESG) factors and the risk of geopolitics, as defined by the Geopolitical Risk (GPR) index. The concept of geopolitical risk is conventionally defined as the direct result of political incidents, war, and...

This study is based on real options theory and uses a sample of Chinese listed companies from 2000 to 2016 to investigate the dynamic process and mechanisms by which trade policy uncertainty affects the upgrading of enterprises within the global value chain (GVC). The article finds that trade...

Against the backdrop of an accelerated green transition and increasingly stringent climate policies, climate transition risk has emerged as a significant exogenous shock to the financial system. Using a panel of 57 listed commercial banks in China over the period 2010-2024, this study...

Climate change disproportionately threatens low- and middle-income countries, yet integrated assessments combining socio-economic fragility with physical hazards remain limited. This study quantifies multi-dimensional climate vulnerability and derives optimized adaptation policies for six...

The primary objective of this research is to identify, analyse, and compare the development of risk management approaches adopted by Slovak industrial enterprises in two distinct economic periods: during a phase of economic growth (2019) and during a period of global crises and regional crises...

We estimate the effect of neighborhood disorder on dementia risk among middle-aged and older adults in the United States and identify cardiometabolic dysregulation as a mediating biological pathway. Using data from the Health and Retirement Study (HRS, 2006-2020), we show that exposure to...

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...

Businesses increasingly rely on algorithmic systems and machine learning models to make operational decisions about customers, employees, and counterparties. These "algorithmic operations" can improve efficiency but also concentrate liability in a small number of technically complex, drifting...

This study investigates the impacts of geopolitical risks on corporate leverage decisions of Vietnamese listed firms from 2017 to 2024. The research findings reveal a negative impact of geopolitical risks on both corporate leverage and short-term leverage. That is, Vietnamese listed firms...

We report the results of over 30 experiments to study the elasticity of economic decisions with respect to fundamentals. Our experiments cover a broad range of domains, from choice and valuation to belief formation, from strategic games to generic optimization problems, involving investment,...

In deregulated electricity markets, Generation Companies (GENCOs) are exposed to substantial financial risk due to volatile and uncertain electricity prices. Traditional generation asset valuation approaches, which rely primarily on expected profit, fail to adequately capture downside risk under...

We propose a quantitative framework to track systemic risk arising from cyber vulnerabilities of the U.S. financial system. Synthesizing financial, economic, cyber, and network data that covers thousands of financial institutions and technological firms, we develop an index that tracks...