European quanto option pricing in presence of liquidity risk

In this paper, we study the pricing problems of the European quanto options in which the underlying foreign asset is in imperfectly liquid markets. First, we assume that the dynamics of the underlying foreign asset price are affected by market liquidity and propose a liquidity-adjusted quanto model. This allows for the effects of market liquidity on European quanto option pricing. And then we derive the analytical pricing formulas for four different types of European quanto options. Finally, we empirically investigate the pricing performance of our proposed model with a European quanto construction involving the SSE 50 ETF, as the underlying asset, and the CNY/HKD exchange rate. Empirical results demonstrate that the pricing accuracy of the proposed model is markedly superior to that of the Black-Scholes quanto model. In other words, allowing for liquidity risk in the framework of European quanto option pricing can make markedly improvements in fitting the real market data. Particularly, the improvement rate is high for medium-term and out-of-the-money options. Moreover, these results are robust for different liquidity measures.     

Weekday seasonality of stock returns: The contrary case of China

We document that Chinese stock returns exhibit early-in-the-week effects opposite-signed to those observed worldwide. The period of analysis is 2001–2016. Dominated by individual investors, Chinese stock markets offer unique out-of-sample insight regarding the source of weekday seasonality, ascribed elsewhere to institutional investors’ trading patterns. High returns to the market and to small, speculative stocks early-in-the-week pose a refuter to the mood explanation for the conventional (negative) Monday effect. A battery of tests suggests that the patterns in the Market, SMB, and RMW factors are jointly associated with Chinese individual investors whose demand is tilted towards small, speculative stocks. Our findings point to a potential role of dominant investor type in driving weekday patterns and the RMW premium.     

北京农户增收影响因素与对策研究

对北京农户收入面板数据及187户实地调研数据进行分析，得出农户收入稳步增长、增速平缓、农户收入以工资性收入为主、城乡收入差距大和各区之间农户收入差异大的结论以及存在着农户增收活力不足、经营收益低、财产性所得少、新型农业发展不足、农村人口老龄化、农民文化程度低和农民健康状况差的问题。认为深化农业农村改革、鼓励土地流转、改善人居环境、完善支农政策、推广医疗保险、吸引人才下乡和培育职业农民可增加农户收入。     

重庆市农业科技创新资源配置效率及影响因素研究

[目的]通过分析重庆市农业科技资源配置效率及影响因素,以期对重庆市的农业科技资源的合理配置提出参考建议。[方法]构建评价指标体系,以农业科技创新资源配置环境、农业科技资源经费投入、农业科技人才储备和农业科技创新成果4个方面构成综合层,向下分16个具体指标,运用层次分析法和模糊评判综合评价重庆市农业科技资源配置效率及影响因素。[结果]重庆市农业科技创新资源的配置效率综合得分为81.08,为2级水平,其中农业科技人员流失比例较大,投入产出效率较低成为主要制约因素。[结论]重庆市农业科技创新资源的配置效率处于中等水平,合理配置农业科技人员和经费投入以及提高资源配置环境是提高重庆市农业科技协同创新资源的配置效率的关键;农业科技资金投入浪费严重和农业科技活动成果的转化率较低、农业科技人才结构和农业科技创新资源配置方式的不合理以及农业科技市场机制尚不完善是影响农业科技资源配置效率的主要因素。     

京津冀生态涵养区生态与产业协调发展影响因素分析

[目的]京津冀协同发展国家重大战略将冀北地区的发展确定为承担生态保障与水源涵养功能,文章基于长期以来该区域生态脆弱、经济落后的特征,研究了该生态涵养区生态与产业协调发展的影响因素,目的是为该区域生态建设与产业经济协调发展提供参考。[方法]设置了影响生态建设与产业经济协调发展的规模因素、经济因素、社会因素与政策因素四大类37个影响因素,借助于统计数据,在对数据进行标准化处理的基础上,应用计量经济模型,通过因子分析法将各个因素进行分类归纳为5个公因子,利用SPSS软件回归模拟结果显示各个因素对生态建设与产业经济协调发展的影响作用。[结果]将四大类通过因子分析法的主成分分析,应用计量经济模型模拟,拟合优度较高,影响因素通过分组具有较强的解释力,结果能够很好地反映这些影响因素对生态建设与产业经济协调发展的影响方向与影响程度。[结论]依据定性分析假设与计量模拟分析结果,针对存在的问题与发展机遇,提出对策建议:继续加强生态建设项目的推进、适度扩大产业经营规模、加大生态建设与产业发展投资力度、实施资源节约型生产创新模式以及健全和完善生态与经济协调发展制度。     

土质边坡分析中的极限平衡法与有限元强度折减法的研究

介绍边坡分析的极限平衡法与有限元强度折减法原理,比较两者优缺点。对均质土坡分别采用有限元强度折减法与极限平衡法进行计算,得到相应的安全系数和潜在破坏面,得到两种方法所得安全系数和破坏面一致的结论,应用有限元强度折减法计算是合理可行的。     

家族企业究竟是促进创新还是阻碍创新?——争论与整合

在学术界一直存在一个争论:家族涉入是促进了企业创新还是阻碍了企业创新?厘清上述争论的产生原因和影响因素,有助于解释家族企业创新研究的争论和拓展家族企业创新研究的视野。本文对近年来相关文献进行了系统地梳理,归纳出家族企业创新三个领域的研究成果:家族企业创新投入、家族企业创新产出、家族企业创新的影响因素(内部家族因素和外部环境因素),分析家族企业创新争论产生的原因,并针对现有研究存在的不足,对未来的研究提出展望。本文提出通过构建权变理论整合家族企业创新争论的研究方向,有助于丰富家族企业创新的理论研究。     

基于MGB理论的农户参与乡村旅游影响因素研究——以福州三个地区为例

基于目标导向行为理论,以249份调研数据为依据,运用二元Logistic回归模型对农户参与乡村旅游情感影响因素进行分析,得出农户的行为态度、主观规范、正面预期情绪和感知行为控制通过行为欲望对行为意向具有积极的正向影响,而负面情绪通过行为欲望对其参与乡村旅游行为意向具有消极影响。提出要强化情感效应,重视正向情绪引导;完善乡村旅游引导和利益共享机制,保障农户获得实质性经济收益;把握乡村原生态,消除农户抵触心理。     

Local Government Debt,Factor Misallocation and Regional Economic Performance in China

This paper examines total factor efficiency and productivity performance by taking into account local government debt (LGD) in 31 Chinese provincial regions for the period 2000–2013. The results show that neglecting LGD may overstate economic performance in Chinese provinces. The eastern region shows better performance in single factor efficiency and total factor efficiency than the non‐eastern regions. The western region shows the worst total factor performance. The north‐eastern region is the only region that has experienced a decline in total factor performance. The state‐dominated, investment‐driven development model may help technological progress across Chinese regions but could lead to significant factor misallocation. We argue that biases towards more state‐dominated investment and land supply in less productive western, central and north‐eastern regions, at the expense of investment and land supply in more productive eastern regions, have contributed to the recent slowdown in economic growth in China. Therefore, further market‐oriented reforms in factor markets should be considered in the future.