Use of minimum risk approach in the estimation of regression models with missing observations

This article considers a linear regression model with some missing observations on the response variable and presents two estimators of regression coefficients employing the approach of minimum risk estimation. Small disturbance asymptotic properties of these estimators along with the traditional unbiased estimator are analyzed and conditions, that are easy to check in practice, for the superiority of one estimator over the other are derived. Received May 2001     

From T-Bills to Stocks: Seasonal Anomalies Revisited

This paper employed eleven data series which consist of stocks, bonds, bills, equity premiums, term premiums, and various default premiums to investigate whether January seasonality reported in existing literature is robust across different states of the economy as this has important trading implications. For the periods 1926–1990, small stocks, small stock premiums, low grade bonds, and default premiums (spread between high grade, low grade and government bonds) reveal January seasonality and that the seasonality is robust across different states of the economy except for low grade bond returns and default premiums. January seasonality for low grade bond returns and low grade bond default premiums are primarily driven by results found during periods of economic expansion. Overall, January seasonality is more evident during the economic expansion periods although the magnitude of default premiums is larger during periods of economic contraction. Furthermore, prior findings of strong summer equity returns are primarily driven by the results found during the periods of economic contraction. It is also found that equity returns are generally higher during periods of economic expansion.     

Credit risk and sustainable debt: a model and estimations of why the Euro is stable in the long-run

Sustainable debt has become the key issue in rating of private as well as sovereign debtors. The problem of how to estimate sustainable debt has also been at the center of the debate over the Asian 1997–1998 financial crisis. If the external value of the currency depends on the external debt of a country, it is necessary to estimate the creditworthiness of the country. This paper studies credit risk and sustainable debt in the context of a dynamic model. For a dynamic growth model with an additional equation for the evolution of debt, we demonstrate of how to compute sustainable debt and creditworthiness. The model is estimated by employing time series data for the core countries of the Euro-area. The computations show that the Euro-area has large external assets. Using time series methods, the sustainability of external debt (assets) is estimated for those core countries of the Euro-area. Those estimations show that the Euro will be a stable currency in the long-run.     

Analysing Perceived Downside Risk: the Component Value‐at‐Risk Framework

Multinational companies face increasing risks arising from external risk factors, e.g. exchange rates, interest rates and commodity prices, which they have learned to hedge using derivatives. However, despite increasing disclosure requirements, a firm's net risk profile may not be transparent to shareholders. We develop the ‘Component Value‐at‐Risk (VaR)’ framework for companies to identify the multi‐dimensional downside risk profile as perceived by shareholders. This framework allows for decomposing downside risk into components that are attributable to each of the underlying risk factors. The firm can compare this perceived VaR, including its composition and dynamics, to an internal VaR based on net exposures as it is known to the company. Any differences may lead to surprises at times of earnings announcements and thus constitute a litigation threat to the firm. It may reduce this information asymmetry through targeted communication efforts.     

DEFAULT RISK AND DIVERSIFICATION: THEORY AND EMPIRICAL IMPLICATIONS

Recent advances in the theory of credit risk allow the use of standard term structure machinery for default risk modeling and estimation. The empirical literature in this area often interprets the drift adjustments of the default intensity's diffusion state variables as the only default risk premium. We show that this interpretation implies a restriction on the form of possible default risk premia, which can be justified through exact and approximate notions of "diversifiable default risk." The equivalence between the empirical and martingale default intensities that follows from diversifiable default risk greatly facilitates the pricing and management of credit risk. We emphasize that this is not an equivalence in distribution, and illustrate its importance using credit spread dynamics estimated in Duffee (1999) . We also argue that the assumption of diversifiability is implicitly used in certain existing models of mortgage-backed securities.     

引起承包商成本超额的不可抗力风险因素研究

本文介绍了引起承包商成本超额的不可抗力风险因素，并对此进行具体分析，指出了各风险因素与成本超额的关系，为承包商进行风险控制了理论指导。     

工程项目的风险管理研究

介绍了工程项目存在的主要风险类型,阐述了工程项目的风险管理过程,并结合我国的实际提出了工程项目风险管理的对策。     

物流银行——中小企业融资新途径

中小企业一直存在融资难的问题,本文介绍一项金融创新--＂物流银行＂质押贷款业务,该业务的推出成功地解决了这一问题.但在实际运作中仍存在很多问题,而且要注意风险防范,本文对此给出了建议.     

银行不良贷款违约损失率结构特征研究

本文对中国银行业面临的信用风险违约损失率(LGD)展开研究,以温州某商业银行不良贷款数据为样本,通过描述性统计,对LGD的结构特征:信用风险暴露规模特征、期限特征、地域特征以及担保特征等进行了详细分析。结果表明LGD与风险暴露规模呈负相关,LGD与贷款期限呈正相关,不同地域、不同担保方式的违约贷款其LGD差异性显著。以上这些结论可为商业银行信用风险管理、信贷投放导向以及信用风险监管提供现实帮助。