股市波动对股市募资的影响——基于VAR模型实证分析

本文选取1991年8月至2010年7月一级市场实际募集资金、上证指数及深成指的月度数据作为样本,运用向量自回归(VAR)模型、格兰杰因果关系检验、脉冲响应分析及方差分解方法分析股市波动与股市募资的关系,实证分析表明:股市波动是股市募资的原因,其中深成指对股市募资的影响较大;股市募资对股市波动短期有强劲的响应,在长期趋于稳定;股价指数和股市募资存在长期均衡关系。并且在定量分析和定性分析相结合的基础上给出相应的对策建议。     

基于EVA的国有商业银行股权激励机制探讨

随着商业银行股份制改革的不断深化和推进,解决内部人控制问题已成为商业银行法人治理结构完善的关键一步。而造成内部人控制的关键因素就是由于商业银行目前经营层薪金较低所导致的。因此针对这一问题的重要性,本文从目前薪金制度的缺陷入手,分析了推行股权激励在商业银行薪酬制度改革中的合理性;并针对目前我国的制度缺陷和股票期权自身的不足,提出了基于经济增加值(EVA)的股票期权激励,以解决商业银行目前薪金激励机制中的不足。     

土壤有机碳储量估算方法及土地利用调控措施研究进展

研究目的:综述土壤有机碳储量估算及调控措施的进展,展望中国有关研究的发展趋势。研究方法:文献资料法、对比法。研究结果:全球与中国陆地生态系统碳储量估算方法主要有土壤类型法、模型法、GIS估算法、生命带类型法等,但受资料来源、区域土壤的空间异质性等的限制,估算方法的适用性和结果差异较大;土壤固碳的土地利用调控措施主要有农艺措施、生物措施、化学措施、政策措施等。研究结论:正确评价土壤碳储量与合理的土地利用,对减缓可能的温室效应、减少全球碳循环通量具有重要意义。     

农牧交错带农户农牧业经营目标分析

基于农牧交错带种植业与畜牧业并存、农田与草地交错分布的产业与资源特点。对斯恩等的农户效用模型进行扩展,把养殖业引入农户模型,将农户的种植业与畜牧业生产同时作为约束条件,依据微观经济理论,对研究区农户农牧业行为目标及影响因素进行了理论分析与实证描述。结果表明：农户经营行为目标具有自给和商品双重特性,具有规避风险、追求效用最大化的行为目标特征。     

非理性股价与企业投资行为：来自中国上市公司的经验证据

股票价格的非理性变化是否会对资本配制产生重要影响呢?本文试图从实证的角度回答这一问题。利用一个面板VAR模型,我们发现,对于高流通股比例的企业,与基本因素相正交的Tobin's Q冲击对投资有显著影响。但是,方差分解显示,投资波动中可由Tobin's Q解释的比例很低。这些证据意味着,非理性的股价变化虽然会对真实投资产生影响,但其作用相当有限。结果还显示,股价的非理性变化主要通过迎合渠道,而非股本融资渠道影响投资。     

Political Stock Markets and Unreliable Polls

A political stock market (PSM) clearly beat the polls in predicting the outcome of a Swedish referendum on whether or not Sweden should join the European Union. In fact, polls were unable to make such predictions since the number of undecided respondents always far exceeded the observed YES/NO margin. However, an obstacle to PSMs serving as a superior forecasting instrument is that they can be sensitive to price distortions - by interest groups that may wish to effectuate, and pay for, such distortions - or forecast competitions tied to PSM trade gains, the latter of which was tested here.     

中国和印度股市波动性的比较研究

作为“金砖四国”中的成员,中印两国股票市场具有较强的可比性。比较分析金融危机发生后两国的股市波动性特征,对中国股市发展具有理论和现实双重借鉴意义。文章利用ARCH族模型对上证综合指数和印度孟买30指数日收盘价数据展开实证研究,比较解析金融危机发生后中印两国的股市波动性特质,分析表明可变性和波动集簇性是两国收益率波动均呈现出的明显特质,而且印度比中国有更强的显示度;此外,中印两国股市收益正的风险溢价表现不显著;杠杆效应在上证综合指数收益率和印度孟买30指数收益率中均有体现,而且杠杆效应在印度股市的影响要高于中国股市。这对于确保中国股票和证券市场持续、稳定、强劲发展具有显著的理论说服力及重大的实践意义。     

Oil shocks,policy uncertainty and stock returns in China

This paper examines the interdependence of China's policy uncertainty, the global oil market and stock market returns in China. A structural VAR model is estimated that shows that a positive shock to economic policy uncertainty in China has a delayed negative effect on global oil production, real oil prices and real stock market returns. Shocks to oil market‐specific demand significantly raise China's economic policy uncertainty and reduce the real stock market returns. As measured by a spillover index, the interdependence between these variables has been rising since 2003 as China's influence in the oil market has increased. An equivalent spillover index calculated for the US is smaller and has been largely flat over time.     

FDI与房价

本文在存量模型基础上,构建了一个外资参与的房地产市场局部均衡模型,考察了外资对房价的影响。理论模型显示,需求环节外资流入将导致房价上涨,开发环节外资流入将导致房价下降。本文使用中国35个大中城市1996-2010年的房地产市场和FDI数据,发现开发环节外资（FDI）对中国大中城市房价具有显著负向影响。另一方面,FDI与房价的影响是非对称的,FDI对房价的影响大于房价对FDI的影响。因此,为抑制高房价,在对需求环节外资（“热钱”）严格限制下,应鼓励外资进入房地产开发。此外,收入是影响房价的最主要因素;城市化越快,房价越容易上涨。     

Exploring the interaction between stock price index and exchange rates: an asymmetric threshold approach

This article examines the impact of stock market news on the foreign exchange markets of USA, Canada and UK, employing an innovative extension of the asymmetric threshold model of Apergis and Miller (2006). Under this framework we can disentangle the reaction of foreign exchange market to bad or good news and small or large news of stock returns. Our comprehensive daily data-set spans the period from January 1990 to June 2014. Using a cointegration and error correction model, we document the existence of a causal relationship between stock market and foreign exchange markets. Most interestingly, our results derived from the asymmetric threshold model confirm that the relationship between stock and foreign exchange markets is sensitive to short-term good or bad news and short-term small or large news. Our findings entail significant implications for policymakers, governments, risk managers and international investors.