Mitigating panic buying behavior in the epidemic: An evolutionary game perspective

The panic buying behavior under public health emergencies will lead to many adverse consequences, such as material waste, price fluctuation and uneven distribution of epidemic prevention materials, which will pose a threat to the social stability and economic development. In this paper, we construct a tripartite game model to explore the strategic choices of the public, merchants and the government in order to effectively respond to the panic buying behavior in the epidemic. The results demonstrate that: (1) Eight evolutionary stable strategies emerge in the panic buying events. The worst scenario can be improved by adjusting some relevant parameters. (2) The probability of the public choosing the strategy of “not involving in panic buying” depends on the potential benefits and losses of snapping up, rather than the extent of price rising. (3) The probability of merchants choosing the strategy of “not bid up price” depends on the intangible benefits. (4) The probability of the government choosing the strategy of “active supervision” depends on the supervision costs and government credibility, rather than the amount of fines. In addition, strategic suggestions to mitigate panic buying behavior are put forward from the perspective of each stakeholder.     

农村新业态发展现状、问题与对策研究

近年来,农村新业态快速发展,成为农村经济发展的新动能。文章在介绍农村新业态发展现状的基础上,剖析了当前存在的顶层设计不清晰、要素制约突出、水平有待提升以及规范化不足等系列问题;结合乡村振兴战略全面实施带来的新机遇,提出要强化顶层设计、优化发展环境、加快转型提质、加大监管力度等政策建议,加快促进农村新业态健康有序发展。     

Environmental proactivity,competitive strategy,and market performance: The mediating role of environmental reputation

This article examines the impact of small and medium-sized enterprises' (SMEs) proactive environmental strategy on market performance through the mediating mechanism of environmental reputation. In addition, we investigate the potential moderating role of competitive strategies on the environmental reputation-market performance nexus. Data were collected from 223 SMEs. Using the hierarchical multiple regression analysis, the results show that a proactive environmental strategy positively enhances environmental reputation. Also, the influence of proactively environmental strategy on market performance is mediated by environmental reputation. In addition, our findings show the relationship between environmental reputation and market performance is greater for firms that adopt the differentiation strategy but not significant for firms adopting the low-cost and integrated strategies. Our study offers several theoretical and practical implications.     

山东省高密市家纺新材料产业集群情况及发展措施分析

纺织业作为山东省高密市的第一大产业,在本市的经济社会生活中占据重要位置。文章以结合山东省高密市家纺新材料产业集群现状,就如何发展家纺新材料产业集群提出了几点自己的看法。     

Coopetition strategies for competitive intelligence practices-evidence from full-service hotels

Our study investigates how coopetition strategies can influence hotels’ competitive intelligence (CI) practices to achieve a stronger competitive advantage. In-depth interviews were conducted with 39 hoteliers from 22 hotel groups in Hong Kong. Participating hotels employed different kinds of CI activities, though they were unaware of this concept. In particular, internal customer intelligence was added to integrated intelligence to better describe CI in the service sector. Still, investing in CI can be expensive and time-consuming since it requires hoteliers to align all insights from their respective intelligence pools toward building a holistic understanding of the results. We propose coopetition as a strategic approach allowing hotels to construct collective actions around CI without losing individual competitiveness. Actual coopetition in CI was only found between sister properties. Hence, we propose a coopetition model in which hotels can collaborate and compete in CI at an inter-organizational level via focusing on sharing open-source information and knowledge.     

Dynamic time series momentum of cryptocurrencies

This paper examines the momentum effect for twenty cryptocurrencies compared to the US stock market. For this purpose, we implement a dynamic modeling approach to define and test momentum periods that follow a formation period for interday and various intraday price levels. We find evidence that large proportions of the asset classes’ formation periods are followed by momentum periods, strongly supporting the momentum effect. In particular cryptocurrencies have significantly larger and longer momentum periods in all frequencies which we attribute to the lower derivability of their intrinsic value leading to a higher degree of noise traders in the market. A momentum trading strategy based on the identical approach outperforms a buy-hold strategy for both asset classes, while only cryptocurrencies have higher risk-adjusted returns and lower downside risks than a passive investment. We also find critical price levels during structural elements of the momentum period where the volatility shortly but intensively increases and consequently initiates a price impulse in the direction of the momentum.     

基于乡村振兴战略的湖南省乡村治理体系研究

［目的］乡村治理有效作为实施乡村振兴战略的五大战略总要求之一和重要组成部分，对其进行分析有利于完善农村现代化建设以及促进乡村振兴战略的实施。［方法］文章以湖南省为例，采用问卷调查法和Logistic回归模型法对乡村治理体系进行分析，探讨影响区域乡村治理体系的主要因素。［结果］被调查农户的年龄主要集中在30~60岁，年收入主要集中在1万元以上。进而结合Logistic回归模型可知：社区生活组织、村规民约、农村养老服务设施、留守儿童之家、集中性治丧场所以及村务公开等6个变量对乡村治理体系的开展实施正向显著影响，而年龄对乡村治理体系的开展负向影响。［结论］基于乡村振兴战略发展乡村治理体系主要在于创新乡村治理体系，通过分析影响湖南省乡村治理体系的因素，为乡村有效治理提供参考意见，同时充分发挥乡村治理功能实现乡村振兴战略的全面实施。     

Are REITs more resilient than non-REITs? Evidence from natural experiments

REITs draw attention from investors around the world, yet our understanding of the various risks associated with such securities is limited. Using the introduction of Arrowhead, a low-latency high-frequency trading platform, to the Tokyo Stock Exchange and the financial crisis of 2008 as natural experiments, we compare the resilience of REITs and equities in terms of liquidity and volatility. The results indicate that the introduction of Arrowhead improved the quality of the Japanese REIT market but also increased the probability of flash crashes. We also find that although the financial crisis significantly deteriorated overall equity market quality, the Japanese REIT market was resilient. Finally, using a difference-in-differences regression model, we show that the higher transparency and better price discovery of REITs, compared to non-REITS, protected them from the negative effects of the financial crisis and the introduction of Arrowhead. Overall, our analysis shows that REITs are more resilient than non-REITs.     

Market impact: a systematic study of the high frequency options market

This paper deals with a fundamental subject that has seldom been addressed in recent years, that of market impact in the options market. Our analysis is based on a proprietary database of metaorders—large orders that are split into smaller pieces before being sent to the market—on one of the main Asian markets. In line with our previous work on the equity market [Said, E., Bel Hadj Ayed, A., Husson, A. and Abergel, F., Market impact: A systematic study of limit orders. Mark. Microstruct. Liq., 2018, 3(3&4), 1850008.], we propose an algorithmic approach to identify metaorders, based on some implied volatility parameters, the at the money forward volatility and at the money forward skew. In both cases, we obtain results similar to the now well-understood equity market: Square-Root Law, Fair Pricing Condition and Market Impact Dynamics.     

Asymmetric information consolidation and price discovery: Inferring bad news from insider sales

Due to the paucity of sources of negative firm‐specific information, US capital markets have more difficulty identifying and incorporating bad news into stock prices than they do good news. Even though insider selling is a potentially important proxy for undisclosed bad news, researchers have difficulty ex ante identifying information‐based sales due to an inability to separate liquidity‐motivated from information‐based insider trades. We hypothesize that when insiders in multiple firms sell shares of one firm in which they are insiders and at the same time buy shares of other insider portfolio firms, the sale is more likely to be information‐based, since the proceeds are reinvested. Conversely, when an insider sells one firm without purchasing others or sells multiple insider firms the sale is likely liquidity‐motivated. We find that insider sales identified as information‐based using this algorithm are followed by significant negative abnormal returns. Information‐based sales are also more likely to be associated with delistings, earnings declines and earnings restatements. Analysts are also more likely to revise their earnings forecasts downwards for these firms. It is thus possible to ex ante identify insider sales with information content. Our results will be of interest to investors and also to regulators designing insider trading rules.