Policies for managing peak stock of food grains for effective distribution: A case of the Indian food program

The Indian food program has encountered a significant shortfall in storage due to slow expansion of storage facilities in comparison with procurement. The open storage of food grains results in substantial loss and deterioration of quality. While increasing storage capacity is a viable but costly and time consuming option, the adoption of policies for peak storage reduction would go a long way towards effective food grains management. On this background, this study proposes policy adoption for peak storage reduction for effective inventory management. A dynamic simulation model was built by replicating the complex flow process and incorporating the process variability for finding the bottleneck and significant factors. It was found that steep wheat procurement is the critical bottleneck factor for peak storage requirements. Two practical and straightforward, yet effective policies are proposed from the few existing strategies for peak storage reduction owing to the constraints associated with the food program. With the actual data of the food program, reduction in peak stock was estimated for the recommended policies, including the operational cost saving in storage. The practical implications of these policies within the system were also discussed. Through peak reduction, the use of open storage can be significantly reduced, and this leads to better food grains management for effective food distribution.     

I am therefore I own: Implications of organization-based identity for employee stock ownership

Most research on employee stock plan participation investigates the effects of such forms of ownership on employee attitudes, leaving our understanding of the individual differences that contribute to employee ownership largely unknown. Drawing from the consumer behavior literature, our study explores the effect of organization-based identity on the decision to participate in an employee stock purchase plan. The study was conducted in a newly public firm where we examine the effect of organization-based identity on the purchase decision in two time periods. The first point in time was the initial public offering (IPO), when the employee has little information on how the firm's stock will perform in the market. The second point in time was the first quarter following the IPO, when employees have market data to help them with decision-making. Results indicate that, as predicted, organization-based identity is associated with participation in an employee stock purchase plan, at both points in time, above and beyond the influence of several economic and psychological predictors reported in prior studies.     

基于资本配置效率的中国股票市场制度有效性分析

用资本配置效率表征股票市场制度有效性。使用面板数据分析方法,从行业和地区视角,对中国实行发行核准制度期间股票市场的资本配置效率进行了实证分析。结果表明:中国股票市场的资本配置效率较低,资本配置功能的实现程度较低,股票市场制度低效。指出:中国股票市场的制度变迁应由"政府主导"转变为"市场主导"、加大违规处罚力度、培育理性而成熟的投资者,从而更好地实现股票市场制度功能、提升制度有效性。     

Intraday return and volatility spillover mechanism from Chinese to Japanese stock market

We analyze the mechanism of return and volatility spillover effects from the Chinese to the Japanese stock market. We construct a stock price index comprised of those companies that have substantial operations in China. This China-related index responds to changes in the Shanghai Composite Index more strongly than does the TOPIX (the market index of the Tokyo Stock Exchange). This result suggests that China has a large impact on Japanese stocks via China-related firms in Japan. Furthermore, we find evidence that this response has become stronger as the Chinese economy has gained importance in recent years.     

新冠肺炎疫情、金融市场震荡与金融危机

新型冠状病毒感染肺炎疫情在全球快速蔓延后,美国等国家金融市场出现大幅度震荡,历史罕见。金融市场震荡是疫情影响投资者信心,金融市场本身的风险需要释放,以及经济基本面悲观预期等因素共同作用的结果。目前来看,疫情对实体经济造成冲击,疫情应对情况也在很大程度上决定了金融市场震荡是否演化为全球金融危机,国外金融市场震荡对国内金融市场的传导需要审慎理性处理。     

International stock return predictability

We propose a new methodology for predicting international stock returns. Our Bayesian framework performs probabilistic selection of predictors that can shift at multiple unknown structural break dates. The approach generates significantly more accurate forecasts of international stock returns than a range of popular models that are economically meaningful for a risk-averse mean–variance investor. Allowing for regime-specific variable selection reduces considerably the international diversification of an unhedged U.S. investor’s portfolio.     

新冠肺炎疫情对线上商品价格变化的影响

文章运用电商高频价格大数据，分析了新冠肺炎疫情对商品价格变化的影响。研究发现：根据公平定价理论，在突发疫情下商家会加入消费者情绪制定价格策略，商品价格经过调整后趋于稳定；并且，商品价格表现出较低的价格黏性，对称的交错调价使得新冠肺炎疫情对商品价格的冲击有限。因此，政府部门可利用线上商品价格编制大数据物价指标，及时反映市场供求变化，促进资源优化配置，为宏观政策制定提供依据；同时，加快推进消费数字化转型，优化线上交易环境，建立预警机制来应对突发情况。     

A study of the efficiency of the Chinese clean energy stock market and its correlation with the crude oil market based on an asymmetric multifractal scaling behavior analysis

We examine the multifractal scaling behavior and market efficiency of China’s clean energy stock indexes using an asymmetric multifractal detrended fluctuation analysis (A-MFDFA) and then investigate the tail correlation between this index and the crude oil market via an asymmetric multifractal detrended cross-correlation analysis (A-MFDCCA). First, we reveal that the overall, upward and downward trends of the clean energy stock indexes all have significant multifractal characteristics. The clean energy stock market is far from efficient regardless of whether the fluctuations are small or large. In addition, both upward and downward fluctuations exhibit considerable asymmetry. The significant gap between the downward and overall trends indicates that the downward trend following small-scale fluctuations implies weaker efficiency for investors. Furthermore,based on the sliding market deficiency measure (MDM),we find that the change in efficiency in the three trends significantly depends on the length of the window. In the short term, there is no significant efficiency difference among these three trends; however, in the long term, the asymmetry in the upward and downward trends has gradually increased,especially after December 2018. The results demonstrate that bear markets can offer considerably more opportunities for obtaining excess profits. Finally, we reveal that the cross-correlation between the trends of crude oil prices and low-carbon indexes exhibits significant multifractal characteristics. When the crude oil market is in a bull market or the low-carbon energy market is in a bear market, especially in a larger-scale fluctuation, investors should pay attention to the long-term influence of the counterparty market and carry out a hedging operation to avoid risks.