基于声誉效应的工程监理激励机制模型研究

为了提高工程监理工作积极性,基于Holmstrom-Milgrom模型,引入声誉效应,建立声誉效应和显性激励机制相结合的动态委托代理激励模型。分析声誉效应发挥激励机制作用条件,并与未考虑声誉效应的委托代理模型进行比较。结果表明:声誉效应在满足一定的条件下,引入声誉激励机制能够增加业主的期望收益,并且能提高监理的努力水平。最后,通过数值仿真模拟验证引入声誉效应的合理性。     

中国横向税收竞争如何影响雾霾污染——基于环保支出中介效应的研究

分税制改革以来，省级政府间税收竞争激化带来的环境污染问题正在逐步凸现。在此背景下，首先从理论层面分析了税收竞争、环保支出及雾霾污染的关系，并提出假说；其次建立空间杜宾模型测度了税收竞争对雾霾污染的直接效应、间接效应和总效应，并利用中介效应方法实证检验了税收竞争通过环保支出对雾霾污染的作用路径。研究结果表明，税收竞争显著加剧了本地区雾霾污染，但是其间接效应和总效应并不显著；此外，环保支出是税收竞争影响雾霾污染的一个主要中介变量。     

新审计报告与资本市场的信息反应——来自股价同步性和股价预测能力双维度的经验证据

新审计报告准则的施行旨在增加审计报告的信息含量及其决策相关性。以2015—2018年沪深非金融上市公司为样本，研究发现新审计报告施行后，上市公司的股价同步性显著下降，公司特质信息含量比例显著上升，股价特质信息效率显著提升,同时新审计报告的施行产生了增量信息。在此基础上，进一步分析新审计报告准则对资本市场特质信息效率的传导机制，发现投资者关注度对新审计报告(关键审计事项的披露数量)影响资本市场特质信息效率的过程中表现出显著的部分中介效应。分样本检验的结果表明，虽然AH股共同上市公司和非AH股共同上市公司之间的结果存在细微差异但整体趋势相似。通过对新审计报告的影响的分析，可以更好地理解该政策对资本市场的影响。     

乡村振兴战略下要素国际流动的环境效果

乡村振兴战略和环境保护是当前经济工作中的重点。伴随经济全球化和“一带一路”战略的不断深入,生产要素国际流动日趋频繁。乡村振兴是国家重要发展战略,其重要抓手是实现农业现代化。因此,在小农户与现代农业共存的经济背景下,分析要素国际流动的环境效果,并根据现代农业发展的不同特征,对乡村振兴战略实施初始阶段和全面实施阶段分别进行分析后发现:在战略实施初始阶段,劳动流入加剧污染,反之改善环境;在战略全面实施阶段,资本流入改善环境,反之恶化环境。     

自贸区背景下海南现代物流与对外贸易耦合量化研究

从“海南自贸区(港)建设”战略、链接国家“一带一路”倡议视角出发,建立海南现代物流与对外贸易指标评估体系,根据协调发展度模型对海南2009-2018年现代物流和对外贸易发展的协调性进行测评。结果显示:海南现代物流综合发展指数高于对外贸易综合发展指数,海南对外贸易发展滞后于现代物流发展;海南现代物流与对外贸易发展逐渐呈协调发展趋势,二者协调发展水平不断提高。在此基础上提出强化国际物流协同建设、拓展对外贸易新业态与新模式等促进海南现代物流与对外贸易协调发展的建议。     

资本要素市场化改革、对外直接投资与技术创新绩效

对外直接投资对母国产业的技术创新具有反哺促进效应,但同时受资本要素市场扭曲的调节作用影响。本文运用2003~2016年的面板数据,设定双因素基准模型并进行东、中、西部地区分样本回归以检验资本要素市场扭曲对OFDI的技术创新的调节作用。结果发现:OFDI通过逆向技术溢出促进了母国的企业技术创新绩效。同时,资本要素市场扭曲抑制了OFDI反哺技术创新绩效的正向作用,且资本要素市场扭曲对OFDI的技术创新的调节效应存在地区差异性。因此,深化要素市场化改革,调整对外直接投资结构和优化营商环境,是实现OFDI协调发展以推动技术创新绩效提升的有效途径。     

政府补贴促进制造业企业研发投入了吗?——基于资本结构的门槛效应研究

本文以2016~2018年沪深股市的制造业上市公司为研究样本,通过建立门槛效应模型,验证了政府补贴与企业研发投入的作用关系会随着资本结构的变化而变化。研究发现,政府补贴能够促进企业研发投入,并且在资本结构的调节作用下呈现三重门槛效应。进一步研究还发现,政府补贴对非国有企业研发投入的影响系数更高。因此,政府研发补贴政策需要综合考虑企业资金状况、企业性质,建立有效甄别机制,实施差异化补贴策略,加大对非国企补贴力度,拓宽中小企业融资渠道。     

Price gap anomaly in the US stock market: The whole story

This paper analyses the price gap anomaly in the US stock market (comprised of the DJI, S&P 500 and NASDAQ) covering the period 1928 to 2018. This paper aims to investigate whether or not price gaps create market inefficiencies. Price gaps occur when the current day’s opening price is different from the previous day’s closing price due orders placed before the opening of the market. Several hypotheses are tested using various statistical tests (Student’s t-test, ANOVA, Mann-Whitney test), regression analysis, and special methods, that is, the modified cumulative returns and the trading simulation approaches. We find strong evidence in favour of abnormal price movements after price gaps. We observe that during a gap day prices tend to change in the direction of the gap. A trading strategy based on this anomaly was efficient in that its results were not random, indicating that this market was not efficient. The momentum effect was found to be temporary and no evidence of seasonality in price gaps was found. Lastly, our results were also contrary to the myth that price gaps tend to get filled.     

Forecast on silver futures linked with structural breaks and day-of-the-week effect

Silver future is crucial to global financial markets. However, the existing literature rarely considers the impacts of structural breaks and day-of-the-week effect simultaneously on the volatility of silver future price. Based on heterogeneous autoregressive (HAR) theory, we establish six new type heterogeneous autoregressive (HAR) models by incorporating structural breaks and day-of-the-week effect to forecast the volatility. The empirical results indicate that new models’ accuracy is better than the original HAR model. We find that structural breaks and the day-of-the-week effect contain much forecasting information on silver forecasting. In addition, structural breaks have a positive effect on the silver futures’ volatility. Day-of-the-week effect has a significantly negative influence on silver futures’ price volatility, especially in the mid-term and the long-term. Our works is the first to combine the structural breaks and day-of-the-week effect to identify more market information. This paper provides a better forecasting method to predict silver future volatility.     

The momentum and reversal effects of investor sentiment on stock prices

In this paper, we illustrate the real function relationship between the stock returns and change of investor sentiment based on the nonparametric regression model. The empirical results show that when the change of investor sentiment is moderate, the stock return is positively correlated with the change of investor sentiment, presenting an obvious momentum effect. However, the stock return is negatively correlated with the change of investor sentiment if the change of investor sentiment is dramatic, presenting significant reversal effects. Moreover, the degree of reversal effect caused by extremely optimistic sentiment is greater than that driven by extremely pessimistic sentiment, which shows a significant asymmetry. Our findings offer a partial explanation for financial anomalies such as the mean reversion of stock returns, the characteristic of slow rise and steep fall in China's stock market and so on.