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We consider optimal allocation problems with Conditional Value-At-Risk (CVaR) constraint. We prove, under very mild assumptions, the convergence of the Sample Average Approximation method (SAA) applied to this problem, and we also exhibit a…

投资组合管理 · 定量金融 2025-05-19 Jérôme Lelong , Véronique Maume-Deschamps , William Thevenot

The conditional value-at-risk (CVaR) is a useful risk measure in fields such as machine learning, finance, insurance, energy, etc. When measuring very extreme risk, the commonly used CVaR estimation method of sample averaging does not work…

统计方法学 · 统计学 2021-03-10 Dylan Troop , Frédéric Godin , Jia Yuan Yu

PAC generalization bounds on the risk, when expressed in terms of the expected loss, are often insufficient to capture imbalances between subgroups in the data. To overcome this limitation, we introduce a new family of risk measures, called…

机器学习 · 统计学 2026-04-09 Hind Atbir , Farah Cherfaoui , Guillaume Metzler , Emilie Morvant , Paul Viallard

Financial institutions are currently required to meet more stringent capital requirements than they were before the recent financial crisis; in particular, the capital requirement for a large bank's trading book under the Basel 2.5 Accord…

投资组合管理 · 定量金融 2013-08-07 Zaiwen Wen , Xianhua Peng , Xin Liu , Xiaoling Sun , Xiaodi Bai

We study a continuous-time portfolio optimization problem under an explicit constraint on the Deviation Conditional Value-at-Risk (DCVaR), defined as the difference between the CVaR and the expected terminal wealth. While the mean-CVaR…

最优化与控制 · 数学 2025-10-01 Jérôme Lelong , Véronique Maume-Deschamps , William Thevenot

We develop a novel multivariate semi-parametric framework for joint portfolio Value-at-Risk (VaR) and Expected Shortfall (ES) forecasting. Unlike existing univariate semi-parametric approaches, the proposed framework explicitly models the…

风险管理 · 定量金融 2024-12-23 Giuseppe Storti , Chao Wang

Credit risk may be warehoused by choice, or because of limited hedging possibilities. Credit risk warehousing increases capital requirements and leaves open risk. Open risk must be priced in the physical measure, rather than the risk…

证券定价 · 定量金融 2015-01-08 Chris Kenyon , Andrew Green

In high-stakes machine learning applications, it is crucial to not only perform well on average, but also when restricted to difficult examples. To address this, we consider the problem of training models in a risk-averse manner. We propose…

机器学习 · 计算机科学 2020-11-09 Sebastian Curi , Kfir. Y. Levy , Stefanie Jegelka , Andreas Krause

In a wide variety of sequential decision making problems, it can be important to estimate the impact of rare events in order to minimize risk exposure. A popular risk measure is the conditional value-at-risk (CVaR), which is commonly…

机器学习 · 统计学 2020-12-11 Dylan Troop , Frédéric Godin , Jia Yuan Yu

The Basel II internal ratings-based (IRB) approach to capital adequacy for credit risk plays an important role in protecting the Australian banking sector against insolvency. We outline the mathematical foundations of regulatory capital for…

风险管理 · 定量金融 2016-07-26 Marek Rutkowski , Silvio Tarca

We formulate banks' capital optimization problem as a classic mean variance optimization, by leveraging an accurate linear approximation to the Shapely or Constrained Aumann-Shapley (CAS) allocation of max or nested max cost functions. This…

证券定价 · 定量金融 2019-05-16 Yadong Li , Dimitri Offengenden , Jan Burgy

The strengthening of capital requirements has induced banks and traders to consider charging a so called capital valuation adjustment (KVA) to the clients in OTC transactions. This roughly corresponds to charge the clients ex-ante the…

风险管理 · 定量金融 2017-08-18 Damiano Brigo , Marco Francischello , Andrea Pallavicini

Basel III introduces new capital charges for CVA. These charges, and the Basel 2.5 default capital charge can be mitigated by CDS. Therefore, to price in the capital relief that CDS contracts provide, we introduce a CDS pricing model with…

证券定价 · 定量金融 2014-08-26 Chris Kenyon , Andrew Green

Value-at-Risk (VaR) is an institutional measure of risk favored by financial regulators. VaR may be interpreted as a quantile of future portfolio values conditional on the information available, where the most common quantile used is 95%.…

风险管理 · 定量金融 2016-05-18 Khizar Qureshi

CVaR (Conditional Value at Risk) is a risk metric widely used in finance. However, dynamically optimizing CVaR is difficult since it is not a standard Markov decision process (MDP) and the principle of dynamic programming fails. In this…

最优化与控制 · 数学 2022-10-18 Li Xia , Peter W. Glynn

The largest US banks are required by regulatory mandate to estimate the operational risk capital they must hold using an Advanced Measurement Approach (AMA) as defined by the Basel II/III Accords. Most use the Loss Distribution Approach…

风险管理 · 定量金融 2014-12-01 J. D. Opdyke

Distributional reinforcement learning (RL) -- in which agents learn about all the possible long-term consequences of their actions, and not just the expected value -- is of great recent interest. One of the most important affordances of a…

人工智能 · 计算机科学 2021-11-15 Chris Gagne , Peter Dayan

Value-at-Risk and its conditional allegory, which takes into account the available information about the economic environment, form the centrepiece of the Basel framework for the evaluation of market risk in the banking sector. In this…

统计方法学 · 统计学 2019-10-03 Gery Geenens , Richard Dunn

Risk management is very important for individual investors or companies. There are many ways to measure the risk of investment. Prices of risky assets vary rapidly and randomly due to the complexity of finance market. Random interval is a…

投资组合管理 · 定量金融 2022-07-26 Jinping Zhang , Keming Zhang

We consider the problem of computing the Credit Value Adjustment ({CVA}) of a European option in presence of the Wrong Way Risk ({WWR}) in a default intensity setting. Namely we model the asset price evolution as solution to a linear…

计算金融 · 定量金融 2018-11-20 Fabio Antonelli , Alessandro Ramponi , Sergio Scarlatti