On the quest for supply chain transparency through Blockchain: Lessons learned from two serialized data projects

The ability to look into the supply chain has long enticed SCM scholars and practitioners. The possibilities created by such visibility are endless—from risk reduction and continuity planning to inventory management and cost reduction, nothing is off the table when end‐to‐end visibility is a possibility. Because of such enticements, there is usually much buzz in the industry every time a new technology that promises visibility and transparency is brought forward. Yet, years later, stories sometimes emerge that said technologies either failed to deliver or were not everything they were made out to be. Blockchain is yet another emerging technology in this space. Some consultants promise that it will be the final answer to the transparency and visibility woes that companies currently face. Yet, there is little empirical investigation regarding how the technology may benefit adopters, what the bottlenecks may be, and to what extent it may be able to deliver on these promises, without massive system‐wide upgrades of extant hardware and computing prowess. The current study takes a step in this direction by investigating a blockchain‐driven proof of concept across an industry consortium to identify promises, possibilities, and challenges of blockchain.     

ISO order imbalances and individual stock returns

I examine the relation between intermarket sweep order (ISO) order imbalances and the daily returns of individual stocks. First, I show that ISO order imbalances are positively related to contemporaneous returns. Second, I find that price pressures emanating from ISO imbalances are persistent and predict cumulative abnormal returns up to 2 months. The predictive power of ISO order imbalances on contemporaneous and future abnormal returns is strongest for firms in the smallest firm size quintile. Finally, I analyze herding among ISO order imbalances and find strong commonality. My results indicate that ISOs contribute to both short‐ and long‐term return formation.     

Information Entropy-Based Housing Spatiotemporal Dependence

The Journal of Real Estate Finance and Economics - In the existing housing literature, there has been no academic consensus on how to combine the spatial dependence and the temporal dependence...     

Further Mining the Predictability of Moving Averages: Evidence from the US Stock Market

Most studies on the predictability of moving average (MA) technical analysis use the discrete (buy/sell) trading recommendations. However, it is possibly incomplete or unreliable to explore the predictability of MA by only employing its generated trading signals. To further explore the forecastability of MA, we study its measurable impact on the stock market returns by using a conventional predictive regression framework. Our empirical study on the US stock market with respect to more detailed price information finds, (i) that the proposed predictor, MADP (MA based on daily prices) shows significant predictability in‐ and out‐of‐sample, and significantly outperforms the historical average (HA) benchmark as well as the MA based on monthly prices, (ii) that the predictability of MADP centers on the short‐term lags (within the most recent 10 days) and disappears when lags are beyond 20 days, and (iii) that the economic evaluation of the portfolios based on trading strategies confirms the superior performance of MADP with short‐term lags against the benchmark even though considering transaction costs.     

Fiscal decentralization, revenue and expenditure assignments, and growth in China

Theory suggests that a close match between revenue and expenditure assignments at sub-national levels benefits allocative efficiency, and hence economic growth. That is, a convergence of revenue and expenditure assignments at sub-national levels of government should, according to the theory, be positively associated with a higher growth rate. In the case of China, this paper shows, divergence, rather than convergence, in revenue and expenditures at the sub-national level of government is associated with higher rates of growth. A panel dataset for 30 provinces in China is used to examine the relationship between fiscal decentralization and economic growth over two phases of fiscal decentralization in China: (1) 1979–1993 under the fiscal contract system, and (2) 1994–1999 under the tax assignment system. The seeming contradiction between the theory and evidence in the China case is reconciled by taking into account the institutional arrangements that prevailed during the two phases of fiscal decentralization, in particular the inconsistency between the assumptions of the theory of fiscal decentralization and the institutional reality of China.     

苏南、苏中和苏北对外开放度与经济增长关系的实证分析

一个国家或地区的经济开放程度涉及很多方面，如贸易国际化、资本国际化、劳动力跨国流动、技术引进和输出等。基于操作上简便易行、指标上具有可比性和连续性、资料易于搜集和量化等原则，本文拟选择出口额、实际利用外商直接投资额与GDP建立对外开放度这一指标。通常情况下，有些学者还会考虑国际投资开放度这个指标，但是．在计划计算苏南、苏中及苏北的国际投资开放度这一指标时发现：一方面由于统计资料的限制．另一方面由于苏南、苏中及苏北的对外投资数额很小，     

Rural taxation and government regulation in China

This paper places the problem of Chinese rural taxation in the context of government regulation and seeks to present an integrated theoretical framework of Chinese rural development in the past two decades. Our theoretical framework reconciles the seemingly contradictory facts that the average level of rural taxation relative to rural net income did not increase quickly from 1990, but rural taxation became a very serious problem in this period. Our findings suggest that this is in large part due to increases in rural income disparity from 1990 and uneven tax distribution among different income groups. We argue that differentiated enforcement of government regulations such as grain procurement and birth control play an important role in the rural taxation problem, and more generally, the problem of local government expansion and rising rural income disparity. The empirical findings support our hypotheses.