This study examines the market reaction to the approval of the Nature Restoration Law, a key component of the EU Biodiversity Strategy, and its implications for biodiversity-related financial risks. Using an event study methodology, we analyze the equity price movements of companies listed in...

Value-at-Risk (VaR) is a key metric widely applied in market risk assessment and regulatory compliance under the Basel III framework. This study compares two Monte Carlo-based VaR models using publicly available equity data: a return-based model calibrated to historical portfolio volatility, and...

Amidst the global push for decarbonization, green hydrogen has gained recognition as a versatile and clean energy carrier, prompting the financial sector to introduce specialized investment instruments like Green Hydrogen Exchange-Traded Funds (ETFs). Despite the nascent nature of research on...

We present insights into novel and complex issues regarding cryptocurrency activities, the related investor protection, and blockchain market risks. Crypto digital assets embody global economic ambition with their significant growth and creativity levels. This study employs a novel research...

This paper presents a new Expected Shortfall (ES) model based on the Quantum Harmonic Oscillator (QHO). It is used to estimate market risk in banks and other financial institutions according to Basel III standard. Predictions of the model agree with the empirical data which displays deviations...

This paper estimates the daily market risk of Italian bank securities portfolios under different model assumptions, using granular data on all banks and exposures from 2008 to 2023. Market risk is measured via value-at-risk and expected shortfall, estimated with three approaches: (1)...

In this study, we investigate the relationship between implied equity volatility (VIX) and corporate bond spreads, covering both investment-grade and high-yield sectors. Our dataset spans three significant periods of recent volatility: the 2008/09 financial crisis, the COVID-19 pandemic, and the...

This article analyzes the predictability of market betas concerning cryptocurrency assets and evaluates the efficiency of beta-hedged, market-neutral portfolios. We forecast 1-year-ahead market betas using various estimating methods, including ordinary least squares (OLS) and Vasicek's Bayesian...

Researchers, academics and decision makers are increasingly interested in sustainability issues, in line with the global warming phenomenon that is currently occurring in the world. The term ESG (Environmental, Social, and Governance) has emerged in global efforts to tackle the environmental...

Market participants use leveraged derivatives to gain access to equity market exposure through broker banks. Leverage and interconnectedness via overlapping portfolios of dealer banks can amplify adverse market movements, potentially causing sizeable losses. I propose a model, based on granular...

In the era of emerging technologies, many firms explore the role of blockchain technology and its impact on corporate market value. Past research has shown that companies benefit from executing blockchain projects, but little is known about specific value and risk drivers. Hence, we provide...

This study aims to examine the effect of investor sentiment on stock market crash risk in the Asia-Pacific region. The research employs principal components analysis (PCA) to construct an investor sentiment index, while the Method of Moments Quantile Regression (MMQR) is used to analyze monthly...

Global economic downturns and multiple extreme events threaten Vietnam's economy, leading to a surge in stock market risk and signifcant spillovers. This study investigates market risk spillovers and explores the asymmetric efects of macroeco‑ nomic indicators on market risk across 24 sectors...

This study aims to examine the effect of investor sentiment on stock market crash risk in the Asia-Pacific region. The research employs principal components analysis (PCA) to construct an investor sentiment index, while the Method of Moments Quantile Regression (MMQR) is used to analyze monthly...

Extant empirical studies have predominantly focused on the nexus between working capital management (WCM) and corporate profitability. While there is a dearth of literature on the nexus between WCM and a firm's risk, the present study examines Pakistani-listed firms coming from 12 diverse...

This paper provides a discrete-time approach for evaluating financial and actuarial products characterized by path-dependent features in a regime-switching risk model. In each regime, a binomial discretization of the asset value is obtained by modifying the parameters used to generate the...

When measuring market risk, credit institutions and Alternative Investment Fund Managers may deviate from equally weighting historical data in their Value-at-Risk calculation and instead use an exponential time series weighting. The use of exponential weighting in the Value-at-Risk calculation...

The writing of this article predates by several months the failure of Silicon Valley Bank and the takeover of Credit Suisse which occurred in March 2023. It does not represent the views of the European Central Bank (ECB) and should not be construed as linked to or an advice for the winding down...

Der Anstieg des Zinsniveaus im Jahr 2022 führte in den Anleiheportfolios deutscher Banken zu hohen Verlusten. Die entstandenen stillen Lasten signalisieren zudem eine verminderte Profitabilität und deuten mittelfristig auf das Risiko hin, dass weitere Verluste entstehen könnten, sofern stille...

The rise in interest rate levels in 2022 led to large losses in German banks' bond portfolios. The resulting unrealised losses also point to reduced profitability and, in the medium term, indicate the risk of further losses arising if unrealised losses end up having to be realised in the process...