Purpose - As cryptocurrencies continue to gain viability as an asset class, institutional investors and publicly traded firms have started taking investment positions in digital currencies. What firms may not be considering, however, is the effect these assets may have on their risk profiles....

FX rates are increasingly volatile in recent macroeconomic and geopolitical times of uncertainty. FX risk if not dealt with properly can pose existential threads to companies. Especially fast-growing companies, that have previously not hedged FX risks due to insignificance, need to build up a...

Central banks around the world have substantial domestic and foreign financial assets and liabilities on their balance sheets reflecting their role as monetary authorities. This paper explores the long-term trends in risk and return in central banking using the central bank of Denmark, Danmarks...

This paper aims to replicate the semiparametric Value-At-Risk model by Dias (2014) and to test its legitimacy. The study confirms the superiority of semiparametric estimation over classical methods such as mixture normal and Student-t approximations in estimating tail distribution of portfolios,...

When dealing with market risk under the Basel II Accord, variation pays in the form of lower capital requirements and higher profits. Typically, GARCH type models are chosen to forecast Value-at-Risk (VaR) using a single risk model. In this paper we illustrate two useful variations to the...

This paper presents an integrated risk management methodology for measuring and managing the economics, risks, and financial resources/constraints related to deposits and loans in a commercial bank. Within a comprehensive and integrated framework, we develop valuation and risk models for all...

This paper explores how the low-carbon transition affects firms' credit ratings and market-implied distance-to-default. We develop a novel dataset covering firms' greenhouse gas emissions alongside climate disclosure and forward-looking emission reduction targets. Panel regression analysis...

The aim of the study was to identify the low beta anomaly and analyse the causes of its occurrence in five European emerging markets that were components of the MSCI Emerging Markets Europe index in the period 2010-2019. It was hypothesized that the determinants of the low beta anomaly in the...

The cryptocurrency market is characterized by rapid risk transmission, strong interconnectedness, and substantial downside risk, driven by technical similarities among major cryptocurrencies and herd behavior of investors. To analyze these dynamics, we construct a directed, weighted...

We propose a robust semi-parametric framework for persistent time-varying extreme tail behavior, including extreme Value-at-Risk (VaR) and Expected Shortfall (ES). The framework builds on Extreme Value Theory and uses a conditional version of the Generalized Pareto Distribution (GPD) for...