The Price Discovery Puzzle in Offshore Yuan Trading: Different Contributions for Different Contracts

The People's Bank of China (PBC) lifted yuan trading restrictions in July of 2010 that led to offshore yuan spot trading in Hong Kong. Based on causality analyses, we find that price discovery is absent between the onshore and offshore spot markets. However, we document the presence of price discovery between onshore spot and offshore nondeliverable forward (NDF) rates. These seemingly inconsistent results present a puzzle wherein one offshore market appears to be more informationally integrated with the onshore market than another. We conclude that price discovery differences in the offshore markets stem from the offshore spot and forward contracts tracking different aspects of yuan rates (e.g., the offshore nondeliverable rate tracks onshore spot rates whereas the offshore spot rate tracks onshore interest rates). Moreover, the introduction of offshore spot trading in Hong Kong has led to an increase in cross‐market price discovery between onshore spot and offshore NDF rates. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:103–123, 2014     

基于结构方程模型的物流企业品牌培育影响因素实证研究

通过专家咨询和行业访谈，设计了物流企业品牌培育影响因素的调查问卷，并开展了深度访谈和实地调研，基于结构方程原理构建了物流企业品牌培育影响因素模型，利用AMOS17.0软件和SPSS17.0软件对获得的数据进行了测量和分析。研究认为产业支撑和资源基础是物流企业品牌创建和成长的天然土壤，同时，政府扶持政策及行业协会对品牌的经营管理，对提高物流企业品牌的知名度和价值有着至关重要的作用。     

明清徽州土地字号的分配与使用实态

明清时代的徽州民间文书和赋役文献广泛使用土地字号。明初,土地字号的分配单元是保,万历清丈以后逐渐演变为以图为单位,显示出图甲组织在基层地籍编造管理中的作用。在图甲组织的地籍管理、民间社会的契约表述等实际使用场合,土地字号与基层单元的结合仍带有明显的都保痕迹。图甲的增减变动也对字号分配有较大影响。     

论制造业企业金融资产投资的影响

本文对制造业企业金融资产投资的基本含义进行概述，从金融资产投资的利弊方面引申出制造业企业金融资产投资的影响。研究发现，制 造业企业金融资产投资可以让企业从中获得高额的资产收益，但是伴随而来的也有经营风险增加和资金及资源供给不足的问题。     

The impact of environmental regulation on Chinese spatial development

We examine the relationship between environmental regulation and spatial development in China. Exploiting changes in national pollution standards for three industries, ammonia, paper and cement, we measure the impact of environmental regulation on industry productivity. Our results suggest that national pollution standards do not affect industry productivity, but they reallocate productivity spatially. We show that regulated industries located in developing cities increase their productivity compared to similar industries in other cities. This means that environmental regulation affects the spatial distribution of technology in China and might influence long‐term spatial development by reducing geographical disparities.     

Integration of network data envelopment analysis and decision-making trial and evaluation laboratory for the performance evaluation of the financial holding companies in Taiwan

Data envelopment analysis (DEA) has been constantly used to measure the technical efficiency of decision-making units (DMUs). However, the major problem of traditional DEA methods is that they do not consider the possible intermediate effects. Recently, many papers have applied network DEA models to evaluate the efficiency scores. However, the linking activity of DMUs is still hard to be recognized. Hence, we employ DEMATEL to obtain the linking activity of DMUs. Our empirical research shows that the proposed method can soundly deal with the purpose of identifying the relationship between variables and derive the reasonable result in network DEA.     

Analysing Systemic Risk in the Chinese Banking System

We examine systemic risk in the Chinese banking system by estimating the conditional value at risk (CoVaR), the marginal expected shortfall (MES), the systemic impact index (SII) and the vulnerability index (VI) for 16 listed banks in China for the 2007–2014 period. We find that these measures show different patterns, capturing different aspects of systemic risk of Chinese banks. However, rankings of banks based on these measures are significantly correlated. The time‐series results for the CoVaR and MES measures suggest that systemic risk in the Chinese banking system decreased after the global financial crisis but started rising in 2014.     

Pairs trading strategies in a cointegration framework: back-tested on CFD and optimized by profit factor

Statistical arbitrage is based on pairs trading of mean-reverting returns. We used cointegration approach and ECM-DCC-GARCH to construct 98 pairs of 152 stocks of 3 currencies. Stocks trading is done by Contract for Difference (CFD), a financial derivative product which facilitates short selling and provides a leverage up to 25 times. To measure the performance of a leveraged strategy, we introduced the profit factor which is the annualized return rate per unit risk. And the historical risk is measured by maximum drawdown. We compared three main strategies: percentage, standard deviation of cointegration long-term residuals and Bollinger Bands (dynamic standard deviation), with and without double confirmation of short-term standard deviation modelled by ECM-DCC-GARCH. Each of the three main strategies is optimized by two optimizers: absolute profit and profit factor. The optimization period goes from 2012–01-01 to 2014–12-31, and validation period is from 2015–01-01 to 2016–06-01. Our results showed that the USD Bollinger Bands strategy without double confirmation and optimized by profit factor, outperformed other strategies and provided the highest annualized return rate per unit risk; 32% of our sample pairs ended up in loss, and 94% of which are explained by a cointegration break during the testing period.     

创新资源集聚、技术创新成果与企业成长——基于我国上市IT企业面板数据的实证研究

文章运用Eviews 6.0软件,以沪深49家IT企业的面板数据实证研究创新资源集聚、技术创新成果产出、企业成长三者的内在关联,并对家族企业和非家族企业的技术创新进行对比研究。研究发现,研发人员数达到促进技术创新成果产出的门槛值以后,其与技术创新成果产出之间会呈现显著正向关系,与企业成长之间仅存在边际意义上的U型关系;产学研合作和企业成长呈现出显著的U型关系,但与企业技术创新成果的产出也只存在边际意义上的U型关系;研发支出与企业技术创新成果产出和企业成长均只存在边际意义上的U型关系;技术创新成果与企业成长之间存在显著U型关系;产权属性对企业技术创新存在影响,家族企业较非家族企业更加注重技术创新实践。     

Do Cryptocurrencies Increase the Systemic Risk of the Global Financial Market?

The advance of cryptocurrencies has sparked wide concern over their interplay with the existing global financial market. This paper analyzes the risk spillover relation between cryptocurrencies and major financial assets, and unravels how cryptocurrencies could influence global financial systemic risk. We find that cryptocurrencies function as a separate risk source from traditional assets. Major legislative, financial and technological events in the cryptocurrency market may affect risk spillover dynamics. Although the overall penetration of cryptocurrencies is not yet deep, introducing cryptocurrency can significantly increase the systemic risk to traditional markets during low risk level episodes.