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.     

Lottery mindset,mispricing and idiosyncratic volatility puzzle: Evidence from the Chinese stock market

This study investigates the MAX effect regarding lottery mindset in the Chinese stock market. The MAX effect significantly affects stock returns through quintile portfolio and cross-sectional regression analyses. The most-overpriced stock groups, as categorized by mispricing index, show more support for the MAX effect. However, the idiosyncratic volatility (IVOL) effect continues regardless of consideration for the MAX effect, indicating that the MAX effect is not a source of the IVOL effect. Our results suggest that the MAX effect, which is highly relevant for overpriced stocks, might have information for determining stock price, and appears to be independent from information of the IVOL effect in the Chinese stock market.     

控股家族涉入能促进企业履行环境责任吗？——基于中国A股上市公司的证据

基于2009—2017年我国沪深A股上市公司样本，比较了家族企业与非家族企业所履行的环境责任差异，研究了控股家族涉入对企业环境责任行为的影响。研究结果发现：家族企业比非家族企业更少地履行环境责任；在家族企业中，所有权比例的增加会显著降低环境责任水平，家族成员出任董事长会象征性地披露更多环境责任信息，家族涉入时间与环境责任之间总体上呈现出倒U型关系。进一步研究表明，家族企业会有选择地履行环境责任以维护家族声誉同时减少经济利益损失，控股家族涉入对环境责任的影响在创业型和非创业型家族企业中有所不同，在强制披露的企业中所有权比例对企业环境责任的消极影响会有所减弱。     

混合所有制改革是否有助于缓解人力资本配置扭曲

将人力资本在所有制企业间的配置扭曲（错配）理解为技术配置扭曲和规模配置扭曲两个方面，基于1998—2013年中国工业企业数据库的相关数据，探讨国有企业混合所有制改革影响人力资本配置扭曲的内生机理，结果表明：混合所有制改革鼓励非国有资本通过参股、控股和并购等方式参与到国有企业的生产决策中，这有助于完善国有企业的公司治理结构和利润分配机制，进一步缓解人力资本的技术配置扭曲和规模配置扭曲程度；相对于非行政垄断行业，行政垄断行业中国有企业混合所有制改革对于人力资本配置扭曲的缓解作用较小。     

Parties,divided government,and infrastructure expenditures: Evidence from U.S. states

This paper examines the impact of parties and divided government on infrastructure expenditures for transportation, education, and social services in U.S. states. As infrastructure expenditures are considered a bi-partisan priority, we hypothesize that divided governments expand infrastructure spending compared to governments under true Democratic or Republican control. We test this hypothesis using U.S. state-level data over the period 1970 to 2008 and find that divided governments indeed increase expenditures for these budget categories. Specifically, divided governments spend more on transportation than unified Democratic governments, and more on education and social services than unified Republican governments. The effect is most pronounced for the core infrastructure of transportation and even stronger when only looking at capital outlays instead of total expenditures.     

Voting with your feet: Political competition and internal migration in the United States

Do people “vote with their feet” in response to a lack of political competition? Since political competition is associated with higher growth and welfare, with the free movement of labour, we argue that it should also encourage inward migration. We test this hypothesis by using data from the US and find a strong positive relation between political competition and net migration. This result is robust to alternative specifications, alternative samples and addressing endogeneity using the Voting Rights Act to instrument for political competition. The effect is economically large, specifically, we find that an increase in political competition in the order of magnitude observed in US Southern states during the post-war period leads to an increase in net migration by between 27 and 44 individuals per 1000 population.     

The signaling effects of education in the online lending market: Evidence from China

In this study, we use data from an online lending platform named Xinxindai in China to empirically study the signaling effects of education for the default risk of borrowers. Three dependent variables are created, namely, the probability of default, overdue payments and overdue amount, and probit models, count models and Tobit models are employed correspondingly. The number of universities in the “211 Project” of China at the city level is employed as the instrumental variable. The empirical evidence shows that education generally plays a strong signaling role in the identification of borrowers’ default risk in China. The negative marginal effect of education declines as borrowing times increase and as the marketization of regions deepens. This study helps to fill an important gap in the existing literature. Platforms and lenders can use educational level for reference in identifying the default risk of borrowers.