Risk governance: conceptualization, tasks, and research agenda
V Stein, A Wiedemann - Journal of Business Economics, 2016 - Springer
While risk management has been of fundamental interest to researchers and practitioners
alike during the last decade, its limitations in today's dynamically changing business …
alike during the last decade, its limitations in today's dynamically changing business …
On exactitude in financial regulation: Value-at-risk, expected shortfall, and expectiles
JM Chen - Risks, 2018 - mdpi.com
This article reviews two leading measures of financial risk and an emerging alternative.
Embraced by the Basel accords, value-at-risk and expected shortfall are the leading …
Embraced by the Basel accords, value-at-risk and expected shortfall are the leading …
An academic response to Basel 3.5
Recent crises in the financial industry have shown weaknesses in the modeling of Risk-
Weighted Assets (RWAs). Relatively minor model changes may lead to substantial changes …
Weighted Assets (RWAs). Relatively minor model changes may lead to substantial changes …
Robust distortion risk measures
The robustness of risk measures to changes in underlying loss distributions (distributional
uncertainty) is of crucial importance in making well‐informed decisions. In this paper, we …
uncertainty) is of crucial importance in making well‐informed decisions. In this paper, we …
Value‐at‐risk bounds with variance constraints
C Bernard, L Rüschendorf… - Journal of Risk and …, 2017 - Wiley Online Library
We study bounds on the Value‐at‐Risk (VaR) of a portfolio when besides the marginal
distributions of the components its variance is also known, a situation that is of considerable …
distributions of the components its variance is also known, a situation that is of considerable …
Chance-constrained optimization under limited distributional information: A review of reformulations based on sampling and distributional robustness
S Küçükyavuz, R Jiang - EURO Journal on Computational Optimization, 2022 - Elsevier
Chance-constrained programming (CCP) is one of the most difficult classes of optimization
problems that has attracted the attention of researchers since the 1950s. In this survey, we …
problems that has attracted the attention of researchers since the 1950s. In this survey, we …
A new approach to assessing model risk in high dimensions
C Bernard, S Vanduffel - Journal of Banking & Finance, 2015 - Elsevier
A central problem for regulators and risk managers concerns the risk assessment of an
aggregate portfolio defined as the sum of d individual dependent risks X i. This problem is …
aggregate portfolio defined as the sum of d individual dependent risks X i. This problem is …
Behavioral data-driven analysis with Bayesian method for risk management of financial services
Time-varying behavioral features and non-linear dependence are widely observed in big
data and challenge the operating systems and processes of risk management in financial …
data and challenge the operating systems and processes of risk management in financial …
Affine processes under parameter uncertainty
We develop a one-dimensional notion of affine processes under parameter uncertainty,
which we call nonlinear affine processes. This is done as follows: given a set Θ of …
which we call nonlinear affine processes. This is done as follows: given a set Θ of …
Range Value-at-Risk bounds for unimodal distributions under partial information
In this paper, we derive upper and lower bounds on the Range Value-at-Risk of the portfolio
loss when we only know its mean, variance, and feature of unimodality. In a first step, we use …
loss when we only know its mean, variance, and feature of unimodality. In a first step, we use …