We propose a semiparametric measure to estimate systemic interconnectedness across financial institutions based on tail-driven spill-over effects in a ultra-high dimensional framework. Methodologically, we employ a variable selection technique in a time series setting in the context of a...

In this paper we propose a new measure for systemic risk: the Financial Risk Meter (FRM). This measure is based on the penalization parameter () of a linear quantile lasso regression. The FRM is calculated by taking the average of the penalization parameters over the 100 largest US publicly...

In order to integrate and facilitate the research, calculation and analysis methods around the Financial Risk Meter (FRM) project, the R package RiskAnalytics has been developed. Its main goal is to provide data processing and parallelized quantile lasso regression methods for risk analysis...

This paper examines the relationship between oil price movements and systemic risk of many financial institutions in major petroleum-based economies. We estimate ΔcoVaR for those institutions and thereby observe the presence of elevated increases in the levels corresponding to the subprime and...

The paper presents an alternative approach to measuring systemic illiquidity applicable to countries with frontier and emerging financial markets, where other existing methods are not applicable. We develop a novel Systemic Illiquidity Noise (SIN)-based measure, using the Nelson- Siegel-Svensson...

One important source of systemic risk can arise from asset commonality among financial institutions. This indirect interconnection may occur when financial institutions invest in similar or correlated assets and it is also described as overlapping portfolios. In this paper, we propose a new...

In this paper, we define a financial institution's contribution to financial systemic risk as the increase in financial systemic risk conditional on the crash of the financial institution. The higher the contribution is, the more systemically important is the institution for the system. Based on...

Bank liquidity stress testing, which has become de rigueur following the costly lessons of the global financial crisis, remains underdeveloped compared to solvency stress testing. The ability to adequately identify, model and assess the impact of liquidity shocks, which are infrequent but can...

This paper proposes a methodology to anticipate market risk using qualitative and quantitative variables that capture communicative and financial activity within equity networks. During periods of crisis as market risk increases, companies tend to behave alike, and the number of news and common...