General‐to‐Specific Model Selection Procedures for Structural Vector Autoregressions*

Structural vector autoregressive (SVAR) models have emerged as a dominant research strategy in empirical macroeconomics, but suffer from the large number of parameters employed and the resulting estimation uncertainty associated with their impulse responses. In this paper, we propose general‐to‐specific (Gets) model selection procedures to overcome these limitations. It is shown that single‐equation procedures are generally efficient for the reduction of recursive SVAR models. The small‐sample properties of the proposed reduction procedure (as implemented using PcGets) are evaluated in a realistic Monte Carlo experiment. The impulse responses generated by the selected SVAR are found to be more precise and accurate than those of the unrestricted VAR. The proposed reduction strategy is then applied to the US monetary system considered by Christiano, Eichenbaum and Evans (Review of Economics and Statistics, Vol. 78, pp. 16–34, 1996) . The results are consistent with the Monte Carlo and question the validity of the impulse responses generated by the full system.     

Syndicated Loan Announcements and Borrower Value

Announcements of syndication loans increase borrowers' shareholder wealth if they are revolving credit agreements but not if they are term loans. Share price responses to revolving credit announcements are positive and significant, whereas the wealth effect for term loans is negative and significant. The results show that announcements from both the financial press and commercial information providers can affect borrower share price reaction. Overall, single syndication announcements appear to be more newsworthy than multiple announcements reported in the financial press, and we find evidence of information leakage, post‐announcement drift, or both.     

跨国公司与发展中国家的社会稳定--兼论对中国的影响

跨国公司作为全球化的驱动器既给发展中国家的政治、经济与社会稳定带来正面影响，甚至成为社会稳定的一种标志，但又不可避免地产生一些负面效应。中国要在开放中坚持双赢的策略并加大风险意识，同时应倡导跨国公司承担更大的社会责任。     

Noise Trading and the Management of Operational Risk; Firms,Traders and Irrationality in Financial Markets*

abstract Efficient market models cannot explain the high level of trading in financial markets in terms of asset portfolio adjustment. It is presumed that much of this excessive trading is irrational ‘noise’ trading. A corollary is that there must either be irrational traders in the market or rational traders with irrational aberrations. The paper reviews the various attempts to explain noise trading in the finance literature, concluding that the persistence of irrationality is not well explained. Data from a study of 118 traders in four large investment banks are presented to advance reasons why traders might seek to trade more frequently than financial models predict. The argument is advanced that trades do not simply occur in order to generate profit, but it does not follow that such trading is irrational. Trading may generate information, accelerate learning, create commitments and enhance social capital, all of which sustain traders' long term survival in the market. The paper treats noise trading as a form of operational risk facing firms operating in financial markets and discusses approaches to the management of such risk.     

The dynamics of moonlighting in Russia1

This paper uses the Russian Longitudinal Monitoring Survey (RLMS) to analyse the dynamics of moonlighting by the working‐age population. We find that moonlighting is transitory and that a desire to switch jobs expressed in the past is positively related to moonlighting in the present and to actual job changes in the future. We also find that workers who moonlighted as self‐employed in the past represent 26.5 percent of the new self‐employed. These results suggest that moonlighting in Russia can be seen as an effective incubator for setting up new self‐employed businesses, thereby providing long‐term benefits for the economy.     

Improved estimation of portfolio value‐at‐risk under copula models with mixed marginals

Portfolio value‐at‐risk (PVAR) is widely used in practice, but recent criticisms have focused on risks arising from biased PVAR estimates due to model specification errors and other problems. The PVAR estimation method proposed in this article combines generalized Pareto distribution tails with the empirical density function to model the marginal distributions for each asset in the portfolio, and a copula model is used to form a joint distribution from the fitted marginals. The copula–mixed distribution (CMX) approach converges in probability to the true marginal return distribution but is based on weaker assumptions that may be appropriate for the returns data found in practice. CMX is used to estimate the joint distribution of log returns for the Taiwan Stock Exchange (TSE) index and the associated futures contracts on SGX and TAIFEX. The PVAR estimates for various hedge portfolios are computed from the fitted CMX model, and backtesting diagnostics indicate that CMX outperforms the alternative PVAR estimators. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:997–1018, 2006     

试论创新在旅游景点中的运用

旅游景点创新的必要性，从观念、产品、营销、管理等四个方面具体论述了旅游景点创新活动的开展，指出了旅游景点创新活动存在的阻力及解决方案。     

国有企业融资次序的政治经济学分析

与经典资本结构理论的结论不同，我国国有企业的融资次序恰好是倒序的。这一现象有着深刻的政治经济学内涵，本质上它是由国家追求义理性的最大化，缓解财政压力的行为所内生决定的。因此，单纯从西方主流理论出发，不考虑我国转轨经济的背景对国有企业融资行为和由此而引致的治理结构所进行的分析，是不得要领的。     

基于“行为经济学理论”的旅游者行为分析

传统的旅游者行为分析方法,主要是进行定性的分析,将各个因素进行框架分析,而对旅游者行为的影响因素分析深度不够。借助行为经济学的理论和分析方法,从旅游者的心理活动角度入手,注重旅游者的心理变量分析,应用前景理论和心理账户分析旅游者行为,充分考虑了情境因素和体验因素,使得关于旅游者的行为分析更加细化和接近现实生活。     

知识产权活动的心理学基础探析

知识产权保护作为一种法律制度设计,不应违背人的心理规律。正是在现代知识产权法律制度的保护下,“天才”的需要得到了满足,才为创造性劳动提供了不绝的动力,这是一个不断递进的过程,权利人不断从中获取动力,个人与社会在相互满足的过程中获得良性的互动与统一。但是,囿于需要的社会性,知识产权保护的目的应是满足人的需要而不是为了满足人的贪欲,并且,对需求的满足应纳入法制的轨道。