Does default point vary with firm size?

This article aims to improve the predictive ability of KMV model by distinguishing firm size. The evidence suggests that default point would vary with firm size. Using the method of particle swarm optimization, we obtain the optimal default point separately for large firms and small firms. Several statistical tests such as the model confidence set methodology show that our relatively tractable model is more likely to have the strongest predictive ability.     

Irreversible investment,ambiguity and equity default swaps

We study the impact of ambiguity on the pricing and timing of the option to invest. There is a funding gap to undertake the investment, which is covered by entering into an equity-for-guarantee swap. Our model predicts that the more ambiguity-averse the agents, the less the option value, the later the investment and the higher the guarantee cost and the leverage. If the entrepreneur is more ambiguity-averse than the insurer, the investment threshold slightly rises as the perceived ambiguity increases, and on the contrary, if the entrepreneur is less ambiguity-averse than the insurer, the investment threshold increases sharply as the perceived ambiguity rises.     

Macroeconomic Effects of Asset‐Price Shocks in a Globalized Financial Market

In this paper, I study a model in which shocks to asset prices affect the real sector of the economy through a credit channel. As financial markets become internationally integrated, the economy becomes less vulnerable to domestic asset‐price shocks, but more vulnerable to foreign asset‐price shocks. To the extent that monetary policy stabilization is feasible and desirable, the globalization of financial markets shifts the focus of monetary policy from domestic asset prices to worldwide asset prices.     

个人信用与个人破产制度法律关系的分析——兼论我国建立个人破产制度的现实意义

目前,我国个人信用市场存在大量支付不能的债务无法通过现行法律妥善清理,导致个人信用风险难以得到有效控制和化解.本文从分析个人信用的法律保护入手,重点从内在逻辑联系以及个人破产制度的规则安排与个人信用的动态维护两方面,对个人信用和个人破产的法律关系进行了深入探讨,进而论证当前我国建立个人破产制度、推动个人信用风险管理的现实意义.     

Linking global economic dynamics to a South African-specific credit risk correlation model

In order to address practical questions in credit portfolio management it is necessary to link the cyclical or systematic components of firm credit risk with the firm's own idiosyncratic credit risk as well as the systematic credit risk component of every other exposure in the portfolio. This paper builds on the methodology proposed by Pesaran, Schuermann, and Weiner [Pesaran, M.H., Schuermann, T., and Weiner, S.M., (2004), Modeling regional interdependencies using a global error correcting macroeconometric model, Journal of Business and Economic Statistics, 22, 2, 129–169.] and supplemented by Pesaran, Schuermann, Treutler and Weiner [Pesaran, M.H., Schuermann, T., Treutler, B., and Weiner, S.M., (2006), Macroeconomic dynamics and credit risk: a global perspective, Journal of Money, Credit, and Banking, Volume 38, Number 5, August 2006, 1211–1261.] which has made a significant advance in credit risk modelling in that it avoids the use of proprietary balance sheet and distance-to-default data, focusing on credit ratings which are more freely available.In this paper a country-specific macroeconometric risk-driver engine which is compatible with and could feed into the GVAR model and framework of PSW (2004) is constructed, using vector error-correcting (VECM) techniques. This allows conditional loss estimation of a South African-specific credit portfolio but also opens the door for credit portfolio modelling on a global scale, as such a model can easily be linked to the GVAR model. The set of domestic factors is extended beyond those used in PSW (2004) in such a way that the risk-driver model is applicable for both retail and corporate credit risk. As such, the model can be applied to a total bank balance sheet, incorporating the correlation and diversification between both retail and corporate credit exposures.Assuming statistical over-identification restrictions, the results indicate that it is possible to construct a South African component for the GVAR model that can easily be integrated into the global component. From a practical application perspective the framework and model is particularly appealing since it can be used as a theoretically consistent correlation model within a South African-specific credit portfolio management tool.     

Analysis of sectoral credit default cycle dependency with wavelet networks: Evidence from Turkey

In this paper, we investigate the relationship between industrial production and sectoral credit defaults (non-performing loans ratio) cycle by wavelet network analysis in Turkey over the period January 2001–November 2007. We use feedforward neural network based wavelet decomposition to analyze the contemporaneous connection between industrial production cycles and sectoral credit default cycles at different time scales between 2 and 64 months. The main findings for Turkey indicates that industrial production cycles effect the sectoral credit default cycles at different time scales and thus indicate that the creditors should consider the multiscale sectoral cycles in order to minimize credit default rates.     

Job protection,housing market regulation,and the youth

Young Europeans experience high unemployment rates, job instability, and late emancipation. Meanwhile, they do not support reforms weakening protection on long‐term contracts. In this paper, we suggest a possible rationale for such reform distaste. When the rental market is strongly regulated, landlords screen applicants with regard to their ability to pay the rent. Protecting regular jobs offers a second‐best technology to sort workers, thereby increasing the rental market size. We provide a model where nonemployed workers demand protected jobs despite unemployment and the share of short‐term jobs increases, whereas the individual risk of dismissal is unaffected. Our theory can be extended to alternative risks and markets involving correlated risks and commitment under imperfect information.     

The impact of credit constraints on the performance of Chinese agricultural wholesalers

This article evaluates the impact of credit constraints on the performance of Chinese agricultural wholesalers. We estimate a stochastic frontier function using transaction and credit data of agricultural wholesalers from across China to estimate the efficiency and productivity impacts of credit constraints on sales of affected agricultural wholesalers. Empirical results show that micro- and smaller wholesalers are disproportionally impacted by credit constraints and that eliminating these constraints would increase the sales of affected agricultural wholesalers by approximately 15%. Thus, policies aimed at providing credit access for these wholesalers would significantly boost the performance of smaller agricultural wholesalers while improving the overall performance of the Chinese food supply chain without requiring additional non-credit inputs.     

银行业市场结构与货币政策冲击——基于异质性银行的模型分析

通过构造货币政策冲击下的贷款市场总体均衡模型,研究在受到资本充足率和存贷比约束的条件下,银行最优信贷决策行为。分析发现,在垄断竞争的银行业市场结构背景下,银行间在价格竞争方面表现出战略互补特征和由此带来的模仿效应。因而,当银行满足资本充足率和存贷比要求时,银行业传导的货币政策信贷渠道是有效的,而当贷款市场中的银行不能满足资本充足率或存贷比要求时,信贷渠道则表现出无效性。     

征信服务于银行风险管理的机理

银行危机通常都处于金融危机的核心位置,保持银行业稳定是维护金融稳定的核心关键。征信是社会信用关系发展到高级阶段而伴生的一种信用信息服务,它是金融体系分工的自然结果,它把商业银行金融机构贷前调查、贷前审查的相当一部分任务专业化,它是服务于银行业信用风险管理服务中的一项最普遍、最基本的业务,是防范银行风险的一个关键环节。