Asset Allocation under the Basel Accord Risk Measures

Zaiwen Wen, X. Peng, Xin Liu, Xiaoling Sun, Xiaodi Bai
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引用次数: 27

Abstract

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 more than doubles that under the Basel II Accord. The significant increase in capital requirements renders it necessary for banks to take into account the constraint of capital requirement when they make asset allocation decisions. In this paper, we propose a new asset allocation model that incorporates the regulatory capital requirements under both the Basel 2.5 Accord, which is currently in effect, and the Basel III Accord, which was recently proposed and is currently under discussion. We propose an unified algorithm based on the alternating direction augmented Lagrangian method to solve the model; we also establish the first-order optimality of the limit points of the sequence generated by the algorithm under some mild conditions. The algorithm is simple and easy to implement; each step of the algorithm consists of solving convex quadratic programming or one-dimensional subproblems. Numerical experiments on simulated and real market data show that the algorithm compares favorably with other existing methods, especially in cases in which the model is non-convex.
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巴塞尔协议风险措施下的资产配置
与最近的金融危机之前相比,目前要求金融机构满足更严格的资本要求;特别是,巴塞尔协议2.5对大型银行交易账户的资本要求是巴塞尔协议II的两倍多。资本要求的大幅提高使得银行在进行资产配置决策时必须考虑到资本要求的约束。在本文中,我们提出了一种新的资产配置模型,该模型结合了目前生效的巴塞尔2.5协议和最近提出并正在讨论的巴塞尔III协议下的监管资本要求。提出了一种基于交替方向增广拉格朗日法的统一算法来求解该模型;在一些温和的条件下,给出了算法生成的序列极限点的一阶最优性。该算法简单,易于实现;算法的每一步都包括求解凸二次规划或一维子问题。在模拟和实际市场数据上进行的数值实验表明,该算法在模型非凸的情况下优于现有的方法。
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