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Persistent link: https://www.econbiz.de/10009746621
dependence after the Greek default in winter 2012, which can be explained economically by a change in bank regulation. …
Persistent link: https://www.econbiz.de/10010491085
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...
Persistent link: https://www.econbiz.de/10011619517
This paper examines the relationship between systemic risk measures across 546 financial institutions in major petroleum-based economies and oil movements. In this paper, we follow two steps. In the first step, we estimate the delta conditional VaR (CoVaR) for the financial institutions and...
Persistent link: https://www.econbiz.de/10011662132
In the present paper we study the dynamics of penalization parameter ? of the least absolute shrinkage and selection operator (Lasso) method proposed by Tibshirani (1996) and extended into quantile regression context by Li and Zhu (2008). The dynamic behaviour of the parameter ? can be observed...
Persistent link: https://www.econbiz.de/10011557306
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...
Persistent link: https://www.econbiz.de/10010428185
Liquidity has its systemic aspect that is frequently neglected in research and risk management applications. We build a model that focuses on systemic aspects of liquidity and its links with solvency conditions accounting for pertinent interactions between market participants in an agent-based...
Persistent link: https://www.econbiz.de/10011779837
The understanding of co-movements, dependence, and influence between variables of interest is key in many applications. Broadly speaking such understanding can lead to better predictions and decision making in many settings. We propose Quantile Graphical Models (QGMs) to characterize prediction...
Persistent link: https://www.econbiz.de/10011775380
We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...
Persistent link: https://www.econbiz.de/10010391531