商业银行信用风险预警模型的实证研究

选择深沪两市40家上市公司作为样本,对基础财务指标采用相关分析法和逻辑回归法进行筛选,构建信用风险预警模型.实证研究表明:该模型能够有效地为商业银行识别出有问题的企业,从而降低商业银行不良贷款的形成.     

我国信用风险缓释市场发展与创新

随着我国融资市场快速发展,信用风险管理面临严峻挑战,信用风险缓释市场亟待发展创新.然而,受金融危机影响,我国金融从业人员在观念、认识和态度上对信用风险缓释工具(CRM)存在诸多不明.本文通过解析CRM市场结构、CDS定价机制,以及中国CRM市场发展对策,帮助金融从业人员正确认识CRM市场功能,提升CRM市场参与能力,为...     

American step-up and step-down default swaps under Lévy models

This paper studies the valuation of a class of default swaps with the embedded option to switch to a different premium and notional principal anytime prior to a credit event. These are early exercisable contracts that give the protection buyer or seller the right to step-up, step-down, or cancel the swap position. The pricing problem is formulated under a structural credit risk model based on Lévy processes. This leads to the analytic and numerical studies of several optimal stopping problems subject to early termination due to default. In a general spectrally negative Lévy model, we rigorously derive the optimal exercise strategy. This allows for instant computation of the credit spread under various specifications. Numerical examples are provided to examine the impacts of default risk and contractual features on the credit spread and exercise strategy.     

关于构建我国社会信用体系的思考

本文从对我国信用体系不健全、信用环境恶化的现状出发 ,对信用体系不健全的表现进行了系统分析 ,认为信用体系不健全阻碍了我国经济的高效运行 ;并在对西方发达国家信用体系建设经验介绍的基础上 ,提出了建立和完善我国社会信用体系的政策建议。     

Discrete credit barrier models

The model introduced in this article is designed to provide a consistent representation for both the real-world and pricing measures for the credit process. We find that good agreement with historical and market data can be achieved across all credit ratings simultaneously. The model is characterized by an underlying stochastic process that takes on values on a discrete lattice and represents credit quality. Rating transitions are associated with barrier crossings and default events are associated with an absorbing state. The stochastic process has state-dependent volatility and jumps which are estimated by using empirical migration and default rates. A risk-neutralizing drift is estimated to consistently match the average spread curves corresponding to all the various ratings.     

PDE approach to valuation and hedging of credit derivatives

This paper presents a PDE approach in a Markovian setting to hedge defaultable derivatives. The arbitrage price and the hedging strategy for an attainable contingent claim are described in terms of solutions of a pair of coupled PDEs. For some standard examples of defaultable claims, we provide explicit formulae for prices and hedging strategies.     

A framework to measure integrated risk

A framework underlying various models that measure the credit risk of a portfolio is extended in this paper to allow the integration of credit risk with a range of market risks using Monte Carlo simulation. A structural model is proposed that allows interest rates to be stochastic and provides closed-form expressions for the market value of a firm's equity and its probability of default. This model is embedded within the integrated framework and the general approach illustrated by measuring the risk of a foreign exchange forward when there is a significant probability of default by the counterparty. For this example moving from a market risk calculation to an integrated risk calculation reduces the expected future value of the instrument by an amount that could not be calculated using the common pre-settlement exposure technique for estimating the credit risk of a derivative.     

Correlation smile matching for collateralized debt obligation tranches with α-stable distributions and fitted Archimedean copula models

As an extension of the standard Gaussian copula model to price collateralized debt obligation (CDO) tranche swaps we present a generalization of a one-factor copula model based on stable distributions. For special parameter values these distributions coincide with Gaussian or Cauchy distributions, but changing the parameters allows a continuous deformation away from the Gaussian copula. All these factor copulas are embedded in a framework of stochastic correlations. We furthermore generalize the linear dependence in the usual factor approach to a more general Archimedean copula dependence between the individual trigger variable and the common latent factor. Our analysis is carried out on a non-homogeneous correlation structure of the underlying portfolio. CDO tranche market premia, even throughout the correlation crisis in May 2005, can be reproduced by certain models. From a numerical perspective, all these models are simple, since calculations can be reduced to one-dimensional numerical integrals.     

Currency total return swaps: valuation and risk factor analysis

Abstract

Currency total return swaps (CTRS) are hybrid derivative instruments that allow us to simultaneously hedge against credit and currency risks. We develop a structural credit risk model to evaluate CTRS premia. An empirical test on a sample of 23,005 price observations from 59 underlying issuers yields an average percentage error of around 10%. This indicates that, beyond interest rate risk, firm-specific factors are major drivers of the variations in the valuation of these instruments. Regression analysis of residuals shows that exchange rate determinants account for up to 40% of model pricing errors, indicating that a currency risk premium affects the CTRS price significantly but only marginally, which confirms the prevalence of credit risk in the pricing of CTRS.     

物流金融:出现动因、发展模式与风险防范

物流金融是金融机构为降低交易成本和风险,利用物流企业提供的物流信息和物流监管,依据物流供应链而进行的金融活动.物流金融的发展模式可分为物流结算金融模式、物流仓单金融模式、物流授信金融模式和综合运作模式等.作为一种新型业务,物流金融带来了与以往不同的风险,认识并控制这些风险是物流金融开展好坏的关键.本文从物流金融的概念人手,分析了物流金融的出现动因和主要特点,以及国内外物流金融的实践情况,并对不同的物流金融发展模式潜在的风险及应对之策进行了分析.