中国银行业资本补充工具的创新及其应用

本文基于巴塞尔III中资本的重新定义和要求,围绕着中国银行业目前资本工具缺乏的现状,在总结归纳了国际资本创新工具的经验基础上,从中国银行业面临的实际监管环境和市场环境出发,分别从监管者和商业银行自身的角度分析阐述了拓展资本补充工具的路径和要点。     

How does working capital management affect the profitability of Spanish SMEs?

This paper analyzes the relation between working capital management and profitability for small and medium-sized enterprises (SMEs) by controlling for unobservable heterogeneity and possible endogeneity. Unlike previous studies, we examine a non-linear relation between these two variables. Our results show that there is a non-monotonic (concave) relationship between working capital level and firm profitability, which indicates that SMEs have an optimal working capital level that maximizes their profitability. In addition, a robustness check of our results confirms that firms?? profitability decreases as they move away from their optimal level.     

Bayesian Inference in Spatial Sample Selection Models

In this study, we consider Bayesian methods for the estimation of a sample selection model with spatially correlated disturbance terms. We design a set of Markov chain Monte Carlo algorithms based on the method of data augmentation. The natural parameterization for the covariance structure of our model involves an unidentified parameter that complicates posterior analysis. The unidentified parameter – the variance of the disturbance term in the selection equation – is handled in different ways in these algorithms to achieve identification for other parameters. The Bayesian estimator based on these algorithms can account for the selection bias and the full covariance structure implied by the spatial correlation. We illustrate the implementation of these algorithms through a simulation study and an empirical application.     

Heteroskedasticity-consistent covariance matrix estimators for spatial autoregressive models

In the presence of heteroskedasticity, conventional test statistics based on the ordinary least squares (OLS) estimator lead to incorrect inference results for the linear regression model. Given that heteroskedasticity is common in cross-sectional data, the test statistics based on various forms of heteroskedasticity-consistent covariance matrices (HCCMs) have been developed in the literature. In contrast to the standard linear regression model, heteroskedasticity is a more serious problem for spatial econometric models, generally causing inconsistent extremum estimators of model coefficients. This paper investigates the finite sample properties of the heteroskedasticity-robust generalized method of moments estimator (RGMME) for a spatial econometric model with an unknown form of heteroskedasticity. In particular, it develops various HCCM-type corrections to improve the finite sample properties of the RGMME and the conventional Wald test. The Monte Carlo results indicate that the HCCM-type corrections can produce more accurate results for inference on model parameters and the impact effects estimates in small samples.     

The Effects of Four Dimensions of Strategic Orientation on Firm Innovativeness and Performance in Emerging Market Small- and Medium-Size Enterprises

We investigate the effects of technology, entrepreneurial, market, and learning orientations on firm innovativeness, and the mediating effect of firm innovativeness on these relationships, using a survey of 374 small- and medium-size enterprises in Korea. The results reveal that, while technology, entrepreneurial, and learning orientations significantly influence firm innovativeness, firm innovativeness has a significant effect on firm performance. We also find that firm innovativeness has a statistically significant mediating role in the relationships of technology, entrepreneurial, and learning orientations to firm performance. Our study contributes to strategic management and emerging market literature by identifying the pivotal role of innovativeness for firms that seek to benefit from various types of strategic orientations.     

What determines outstanding corporate debt mix? Evidence from fractional multinomial logit estimation

This study employs the fractional multinomial logit setting proposed by Papke and Wooldridge (1996) to examine factors driving the choice among nonbank private (144A) debt, bank loans and public debt made by 988 nonfinancial firms during 1993–2007. We document that the majority of firm-level factors have persistent effects on corporate outstanding debt mix across economic conditions. We also highlight the importance of macroeconomic variables on firms’ borrowing decisions as predicted by Diamond (1991). Finally, we document a substitution effect among debt financing sources due to credit rating downgrades, which is inconsistent with Rauh and Sufi (2010).     

银行税的国际比较与制度建议

后金融危机时代,各国出于保证金融业公平竞争、预防金融系统风险和加强危机管理的目的,在以"去杠杆化"为代表的审慎监管措施和体系不断建立完善的同时,征收银行税的财政政策逐渐成为这两年各国监管当局和国际监管机构的热点话题,尽管银行税的征收还未成为各国的共识,但是近距离审视各国银行税的征收实践不仅有助于我们进一步认识这种政策的优势所在,而且也为我们把握和寻找未来国际银行的监管趋势提供了基础。     

美国金融监管改革的新框架与新趋势

针对金融危机中暴露的监管缺陷,美国正在进行"大萧条"以来最为全面的金融监管改革.本文在宏观和微观审慎监管相结合的框架下介绍了美国金融监管改革的主要内容,分析了围绕改革的主要争论,并对国际金融监管改革趋势进行总结比较,认为美国这次金融监管改革将从监管标准、方法、模式和理念等方面重构美国金融监管体系,有利于形成更加稳定有序的金融市场新秩序,防范金融危机重演.     

人民币现金境外需求规模的间接测算研究:1999-2008

本文基于1978年至2008年的年度数据和缺口估算法,通过构建一个货币需求函数的计量模型,对1999年至2008年的人民币境外持有规模进行了估算,估算结果表明,在1999年至2008年间,境外人民币的需求占人民币现金总量的比率均值为7.62%,且流通规模呈逐年递增之势。最后,本文进行了总结并提出相关政策建议。