一种新的自动翻蛋控制器的研究

针对孵化翻蛋问题,给出了一种新的控制器。该控制器全部采用40系列通用集成电路,选用CD4017组成计数器,利用CD4011构建谐振器和触发器,采用CD4082组成输出电路,实现了时间可调的正反转翻蛋。实际运行表明,此电路稳定、可靠且精度高。     

Entry mode diversity and closing commercial deals with international customers: The moderating role of advanced servitization

As the importance of servitization and service-augmented solution delivery grows into a mainstream phenomenon for manufacturers, offering theoretically founded avenues to solve their specific internationalization challenges is necessary. The study addresses the internationalization paradox faced by servitized manufacturers generated by the specific hybrid nature of their product-service offering. As such, this research is meant to understand the entry mode diversity for the internationalization of advanced servitization providers. Our primary research deal-level data follows 1885 potential sales negotiations for servitized products closed in 2018 by a Poland-based multinational high-tech optics firm offering product-service systems. The results of the study support the idea that manufacturers of advanced servitization could benefit from the implementation of entry mode diversity. It is found that the sales deal success when entry mode diversity is implemented in a foreign market is positively moderated when knowledge-intensive advanced servitization is included in the negotiation.     

风险投资进入时机、外部环境与企业创新投入

在我国经济进入高质量发展阶段，探究在不同外部环境下风险投资进入时机对企业创新投入的影响具有重要意义。以2010—2019年沪深两市首次公开上市的A股公司为样本，运用异方差稳健OLS模型和Logit模型，研究风险投资进入时机对企业创新投入的影响，并进一步探讨我国不同外部环境的调节效应，结果发现：①VC早期进入能够显著促进被投企业创新能力提升，表现为企业研发投入强度显著提升；②企业所在地区市场化程度越高，风险投资进入时机越早，越能提升企业创新投入和创新能力；③企业所在行业竞争水平越高，风险投资进入时机越晚，越能提升企业创新投入和创新能力。     

Entrepreneurial optimism and creative destruction

Using textual analysis of annual reports of US-listed firms, we provide empirical evidence that uncertainty (rather than risk) and optimism are distinctive characteristics of high-impact entrepreneurial firms (recently listed firms) relative to old incumbent firms. We construct an entrepreneurial entry predation model with uncertainty based on this evidence. We show that optimistic entrepreneurs may enter markets that otherwise would be blocked from entry by incumbents’ predatory threats. Thus entrepreneurial optimism may be to the benefit of consumers. Entrepreneurial optimism can also create a strategic advantage for entrepreneurs since incumbents may react by being less aggressive in product market interactions, which will benefit the profitability of the entrepreneur’s venture and consumers via lower prices.     

Intraday return predictability in the cryptocurrency markets: Momentum,reversal, or both

This paper reports evidence of intraday return predictability, consisting of both intraday momentum and reversal, in the cryptocurrency market. Using high-frequency price data on Bitcoin from March 3, 2013, to May 31, 2020, it shows that the patterns of intraday return predictability change in the presence of large intraday price jumps, FOMC announcement release, liquidity levels, and the outbreak of the COVID-19. Intraday return predictability is also found in other actively traded cryptocurrencies such as Ethereum, Litecoin, and Ripple. Further analysis shows that the timing strategy based on the intraday predictors produces higher economic value than the benchmark strategy such as the always-long or the buy-and-hold. Evidence of intraday momentum can be explained in light of the theory of late-informed investors, whereas evidence of intraday reversal, which is unique to the cryptocurrency market, can be related to investors’ overreaction to non-fundamental information and overconfidence bias.     

Carbon capture and storage investment strategy towards the dual carbon goals

This paper develops a real option model combined with the Monte Carlo simulation to analyze the impact of the “dual carbon goals” on the CCS investment timing in China. The trajectory of CO₂ prices is predicted to follow a geometric Brownian motion with jump. The CO₂ prices are predicted on the basis of three scenarios: high, medium, and low shocks, respectively. Furthermore, the real option method is adopted to derive the appropriate incentive schemes and corresponding target CO₂ prices that sustain CCS operations to assist China’s dual carbon goals. Notably, portfolios of two government incentive policies are compared, including clean electricity tariff and carbon tax. The results show that building an efficient national carbon emissions trading scheme (ETS) is crucial to catalyzing the deployment of CCS technology, shortening the waiting time of CCS investment to 5.9 years at best. Government incentives could further bring the threshold CO₂ prices down and the expected waiting time of CCS investment forward.     

Flexibility in share repurchases: Evidence from UK

Although firms cite flexibility as important when repurchasing shares, we know little about how or why firms vary repurchases. We use an extensive sample of daily repurchase transactions from the United Kingdom to investigate how the number of repurchase days and volumes of shares repurchased change based on several known motivations. We find that stock price changes, liquidity, leverage, takeover activity and earnings per share targets impact share repurchasing patterns. Further, we compare actual repurchases to alternative share accumulation strategies and find that firms utilize flexibility without paying higher costs.     

Effect of operating multiple affiliates on the performance of subsidiaries in the same host country

Little has been reported on the effect of affiliates on their foreign subsidiary performance. In the context of multinational banks (MNBs), we empirically investigate how the establishment of multiple affiliate forms affects the performance of their subsidiaries in the same host country. We also examine the factors influencing and effective entry mode choices. Based on the transaction cost theory, we hypothesize that MNBs can benefit foreign subsidiaries using entry modes based on cost minimization and value maximization. For the period 2005–2015, we test this hypothesis on a sample of 1026 subsidiaries established by 96 MNBs across 106 countries. The results show that the simultaneous operation of multiple affiliate forms positively influences their foreign subsidiary’s performance. The transaction costs determine MNBs’ entry choices. MNBs can enhance their subsidiary’s performance using entry modes considering institutional and cultural contexts and achieving cost and value targets in the host country. This study has policy implications in that it calls for collaboration between host and home countries to develop effective supervision and resolution regimes for MNBs operating multiple affiliate forms in host countries.     

On the short-term persistence of mutual fund performance in Europe

In this article, we examine the short-term persistence in mutual fund performance in the main European markets between January 1990 and December 2022. The mutual fund industry in Europe has experienced significant growth in recent years as a consequence of the integration of its markets. However, the European mutual fund industry is still an unexplored area of research with only a small number of significant studies compared to the US industry. Using a sample of daily survivorship bias-free data on the five most important European mutual fund countries, which includes 2734 mutual funds across all countries, we find statistically significant persistence in the post-ranking quarter across different performance models for all countries. This evidence is present across all deciles including the top-decile and bottom-decile mutual funds. Further, we also extend our analysis to high inflation periods.     

Timing the factor zoo via deep learning: Evidence from China

This paper proposes a factor timing strategy with information from 146 characteristic-based factors and a deep learning approach to capture the nonlinear predictability. The deep learning-based factor timing strategy generates the highest economic value compared with the unconditional and alternative linear machine learning-based portfolios and remains robust after controlling for traditional factor models and transaction costs. With the unique market structure of the Chinese stock market, we find that mispricing-based theory helps explain the factor timing via deep learning.