Information spillover across international real estate investment trusts: Evidence from an entropy-based network analysis

In this study, we unveil information spillover between international real estate markets using an entropy-based network approach for real estate investment trusts (REIT). Our novel approach is simple and yet flexible enough to accommodate the nature and extent of information spillover among several components of the global housing network. For a network of nine leading industrial economies, we unveil static and time-varying information spillover of REIT returns using total transfer entropy, pairwise net transfer entropy and directional (“From”, “To”) transfer entropy. Evidence suggests that the greatest pairwise transfer entropy is from the US to Australia, whereas France, the Netherlands, New Zealand and Singapore are the largest information recipients in the network. The time-varying evolution of total transfer entropy also exhibits a declining trend for the integration of global housing market during our sample period.     

Impact of frequency of alignment of physical and information system inventories on out of stocks: A simulation study

Inaccuracy in the information system inventory as compared to the physical inventory may lead to out of stocks. Inaccuracy may occur for many reasons, a principal one being random losses such as theft. One way to reduce this inaccuracy is to adjust the inventory information in the systems at some regular frequency. Such alignments are quite expensive in practice. Thus how often to align the two inventories is the focus of this research. A simulation model is employed to investigate the effect of such loss defined by the stock loss parameter (λ) and the frequent alignment of physical and information system inventories on the stockout (S_out) and average inventory (I). A term to be called the effective value of stock loss parameter is introduced to signify the effect of frequency of alignment (f) on S_out. The results derived in this study provide a powerful tool in the hands of an inventory manager. It has been noted that, so far as stockout is concerned, by selecting a moderate value of alignment frequency (f), the effective value of stock loss parameter (λ_e) can be reduced to∼ λ/f. The accuracy of S_out and I values across a number of runs in the simulation studies, sensitivity of S_out and I on various parameters and the nature of stochastic demand distribution, and application of these results with or without deployment of RFID to reduce the loss due to stockout are also discussed. The results, verified under various scenarios, indicate that there is a significant reduction in stockout loss when the alignment is done monthly vs. annually, but it does not add much value beyond a monthly check.     

The New Stock that Did Not Underperform

This article examines the performance of newly listed stocks in a unique setting in which firms do not issue new equity immediately prior to listing. We find that in such a setting newly listed firms do not observe any underperformance over a three-year period as documented in the extant literature. This result is arrived at after controlling for both size and book-to-market effects using both event-time and calendar-time approaches. These findings present a challenge to the current extant empirical evidence and to the pseudo market timing and fads hypotheses.     

Time-Varying Spillover and the Portfolio Diversification Implications of Clean Energy Equity with Commodities and Financial Assets

This article examines the time-varying spillover and its implications on hedging and portfolio diversification for clean energy equities (WilderHill New Energy Global Innovation Index (NEX)) with technology stocks (PSE), four energy sub-indices of Standard & Poor Goldman Sachs Commodity Index (S&P-GSCI) viz., Crude oil, Brent crude oil, Gasoline and Heating oil and three major global equities indices represented by the USA, Europe, World, Dow-Jones Islamic Market Index (DJIMI) along with USD-Euro exchange rate. We find that in a mixed portfolio set-up, the inclusion of NEX in energy portfolio provides better diversification and risk reduction benefits for hedgers and portfolio managers.     

Do Attention-Grabbing Stocks Attract All Investors? Evidence from China

Abstract:

Using a unique and comprehensive data set of China’s Shenzhen Stock Exchange, we test whether all investors adopt attention-grabbing stocks. Only the less-wealthy individuals, the Small Group, are found to have the tendency to pursue attention-grabbing stocks, such as abnormal-volume stocks, extreme-return stocks, and initial public offering stocks. By contrast, wealthy individuals, such as the Middle and Large Groups, are the sellers of attention-grabbing stocks and prefer non-attention-grabbing stocks, thereby exhibiting a behavior resembling that of institutional investors. The wealth levels of individual investors may account for such heterogeneous trading behavior. Heterogeneous trading behavior may address one reason why only the less-wealthy individuals do poorly in China’s stock market. Accordingly, we suggest that the Small Group manage the stock selection problem through consultancy with investment institutions.     

Upside/Downside spillovers between oil and Chinese stock sectors: From the global financial crisis to global pandemic

This paper examines the effects of the COVID-19 outbreak, recent oil price fall, and both global and European financial crises on dependence structure and asymmetric risk spillovers between crude oil and Chinese stock sectors. Using time-varying symmetric and asymmetric copula functions and the conditional Value at Risk measure, we provide evidence of positive tail dependence in most sectors using copula and conditional Value-at-Risk techniques. We can see the average dependence between oil and industries during the oil crisis. Moreover, we find strong evidence of bidirectional risk spillovers for all oil-sector pairs. The intensity of risk spillovers from oil to all stock sectors varies across sectors. The risk spillovers from sectors to oil are substantially larger than those from oil to sectors during COVID-19. Furthermore, the return spillover is time varying and sensitive to external shocks. The spillover strengths are higher during COVID-19 than financial and oil crises. Finally, oil do not exhibit neither hedge nor safe-haven characteristics irrespective of crisis periods.     

房地产信托投资基金研究的文献计量分析

从数量特征、合作特征、学科特征和研究热点等维度对房地产信托投资基金的国际研究现状进行了文献计量分析,监控了国际研究态势,发现了该领域的研究热点和方向。     

技术入股的实物期权定价方法

针对技术入股的不确定性特点,提出了在不确定环境下新的技术定价方法——实物期权方法,并通过一个算例说明该方法在技术资产定价入股中的应用。     

大金融：对国有股减持方案的设计

为了进一步规范和发展证券市场，适应经济全球化和证券市场国际化的新形势，为了解决在我国的经济领域尤其是在金融领域方面的国有股的减持，社会保障基金的设立，国有商业银行存款的消肿和国有商业银行的发展壮大以及全方的协调发展问题，提出了一个新的对国有股进行减 持的方案设计，其方案采用了组合式分步减持，具有很大的灵活性和实用性。     

Accounting for Ecosystems

Millennium Ecosystem Assessment documented the importance of ecosystem services. It is therefore important to include these services in the national system of economic accounts. This requires estimation of “accounting prices” for ecosystems, that is, the marginal value of a change in the size of the system. This raises a number of questions: What do we mean by the “size” of the system? What is the dynamics of the system? How do we quantify the impacts on services from a change in the size of the system and finally how do we value these impacts? We discuss these questions in a few examples of ecosystems, and valuation as such is not the major problem. The major problem is the lack of information of the appropriate dynamic model for most systems. We therefore suggest that economists and ecologists should set priorities on which ecosystems should be the first objects for study for these; we should test the possibilities of estimating the accounting prices.