制造企业服务化转型价值效应研究

以2011-2015年制造业上市公司为研究对象，运用实证研究方法，检验了服务化程度对企业价值的影响，以及产业竞争程度对服务化程度与企业价值关系的调节作用。结果表明：服务化程度与企业价值之间呈倒U型关系。当服务化程度较低时，服务化转型会促进企业价值提升；服务化程度达到临界值（37%左右）后，服务化转型会降低企业价值。产业竞争程度对服务化程度与企业价值关系具有调节作用，当前产业竞争程度的提高会降低服务化转型价值效用，而潜在竞争威胁程度的提升会促进服务化转型价值效用。     

产品差异与技术差距影响研发溢出的理论探讨

在传统研发溢出效应假设基础上，通过技术差距将溢出效应与产品差异有机联系起来，并通过构建双寡头企业两阶段博弈模型对研发卡特尔、生产卡特尔、完全合作等不同形式合作联盟的均衡水平和福利变化进行分析比较。研究证实：当企业间技术差距较小时，完全合作或研发卡特尔能有效提高企业利润和社会福利；而当技术差距较大时，研发阶段的合作不仅无法激励企业进行研发投入，还会抑制企业创新的积极性。此外，与完全合作相比，局部合作具有更强的稳定性和可持续性，尤其是在产品差异程度较大的情况下，研发卡特尔最为稳定。     

科技创新治理能力对治理绩效的影响研究

以系统论思想为指引，遵循要素-结构-功能的分析范式，从科技创新治理能力发展的水平结构和外部性结构两个方面入手，就科技创新治理能力对科技创新治理绩效的作用机理进行逻辑推演。结合中国科技创新治理体系治理能力发展现状，对治理绩效低下的形成机理进行系统探讨，结果表明：科技创新治理能力的强度结构是决定科技创新治理绩效的关键，而科技创新治理体系整体治理能力水平偏低、内部结构失衡是导致现行科技创新治理绩效低下的根源。与此同时，科技创新治理能力外溢效应在不同方向上的非对称性加剧了科技创新治理能力的结构性失衡，阻碍了科技创新治理能力的整体性提升，抑制了科技创新治理绩效有效增长。因此，应加快转变治理理念，逐步构建以“创新链”为核心的现代科技创新治理模式；增强微观治理能力，构建开放包容的科技创新管理服务体系；提升中观治理能力，实行科技创新管理机构垂直管理；优化治理环境，将知识产权法律制度环境和科技交易市场环境营造纳入科技创新管理服务体系，逐步构建与现代科技创新治理理念相匹配的科技创新管理部门地方政府官员政绩考评体系。     

政府背景风险投资对创新的甄选与培育效果——不同区域环境视角的检验

以创业板企业数据为样本，使用Logit模型及工具变量法，研究不同区域环境下政府背景风险投资对企业创新的事前甄选与事后培育作用，并对其机制进行探讨。结果表明：①经济区域对政府背景风险投资行为影响有限，与非核心发达地区相比，金融发达地区的政府背景风险投资对企业技术创新没有表现出差异性甄选行为，但却有更好的事后培育作用，而且这种培育作用会随着地区投资环境优化而增强；②行政区域对政府背景风险投资行为影响显著，与异省投资相比，本省政府背景风险投资对技术创新的事前甄选具有显著优势，但对被投企业后续创新投入产生了一定的负面作用，这种作用会因政府背景风险投资占有董事会席位而加大。     

Size and information revelation in securities trading

We examine differences in information content between order submission sizes and trade sizes by U.S. equity traders. Increasing (decreasing) order submission (trade) size is reflective of information. The result suggests that better-informed traders want to trade in a large size, but that they engage in stealth trading practices or break larger orders into smaller sizes in order to conceal information. While prior studies tend to narrowly focus on trade executions at the market-centre level, our findings indicate that order submission size varies significantly from trade size and that both sizes are informative about future prices, albeit in an inverse manner.     

FDI与OFDI溢出对高技术产业区域创新的门槛效应研究

选取2003-2016年省域高技术产业面板数据，以R&D人员投入为门槛变量，实证分析FDI与OFDI溢出对高技术产业区域创新的非线性影响。得出以下稳健性结论：FDI和OFDI溢出对高技术产业区域创新具有双门槛效应，FDI溢出呈现先升后降的特征，而OFDI溢出则呈现先降后升特征；R&D人员投入、R&D资本积累、城镇化水平有利于高技术产业区域创新，而金融成熟度未产生明显推动作用；政府支持可能对R&D人力投入较高省份产生抑制作用；2003-2016年跨越R&D人员投入中、高门槛的省份在不断增加。     

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.     

When do retail investors pay attention to their trading platforms?

Buying and selling securities through online trading platforms has become increasingly popular among U.S. households in recent years. This study tracks U.S. households' attention to their online trading platforms using daily data for 2004 to August 2017. The analysis covers the 10 most popular online trading platforms among U.S. investors. The findings indicate that market shocks, captured by several proxies, as well as macroeconomic announcements attract investors' attention to trading platforms. We also document that the ostrich effect weakens when considering greater changes in the VIX. Our findings do not support the avoidance of information theory, but do support the theoretical argument that risk-averse agents engage in more information gathering when uncertainty prevails in hopes of reducing their risks.     

Risk aversion,public disclosure,and partially informed outsiders

In this paper, we examine the impact of public disclosure and partially informed outsiders on a risk-averse insider’s trading behavior, market efficiency, and market depth. In our model, under disclosure requirements, except for the final auction, market depth is the same at every auction. When informed outsiders are risk-neutral, in contrast to the case of a risk-averse insider with no informed outsiders, the insider is more concerned about the uncertainty about future price risk. When the number of informed outsiders increases, market liquidity improves, and the insider increases the variance of her random component to conceal her trading strategy. However, since the insider is relatively more risk-averse, she pays less attention to doing this on her own. Besides, the order flow provided by informed outsiders and randomly added by the insider injects additional liquidity into the market. When informed outsiders are risk-averse, compared to risk-neutral informed outsiders, an insider is most concerned about trading risks brought by informed outsiders at the beginning of trading. Furthermore, whether the trader is an insider or informed outsider, the more risk-averse trader has lower expected profits. Moreover, outsiders’ greater risk aversion leads to a smaller market depth.     

High frequency momentum trading with cryptocurrencies

Over the past few years, cryptocurrencies have increasingly been discussed as alternatives to traditional fiat currencies. These digital currencies have garnered significant interest from investment banks and portfolio managers as a potential option to diversify the financial risk from investing in other assets. This interest has also extended to the general public who have seen cryptocurrencies as a way of making a quick profit. This paper provides a first insight into the applicability of high frequency momentum trading strategies for cryptocurrencies. We implemented two variations of a signal-based momentum trading strategy: (i) a time series method; (ii) a cross sectional method. These strategies were tested on a selection of seven of the largest cryptocurrencies ranked by market capitalization. The results show that there exists potential for the momentum strategy to be used successfully for cryptocurrency trading in a high frequency setting. A comparison with a passive portfolio strategy is proposed, which shows abnormal returns when compared with the momentum strategies. Furthermore, the robustness of our results are checked through the application of the momentum strategies other sample periods. We also compare the performances of the signal-based momentum strategies with returns-based versions of the strategies. It is shown that the signal-based strategy outperforms the returns-based strategy. However, there appears to be no single parameterization of the signal-based strategies that can generate the greatest cumulative return over all sample periods.