基于PPP模式工程项目融资风险管理的思考

近年来,我国的经济发展较为迅猛,呈现出繁荣的景象。在此基础上,推动项目融资风险管理的出现与成长,而PPP模式较为突出,不同于暗含经济风险的传统型风险管理,能够在一定程度上助力政府财政支出压力的降低。但是需要多加关注的是,PPP模式的工程项目融资本身就具备一定的风险因素。为此,论文着眼于实际情况,充分考虑其基本特点,提出行之有效的防患策略,为我国顺利推进PPP模式工程项目管理工作提供一定的借鉴意义。     

乡村振兴战略下要素国际流动的环境效果

乡村振兴战略和环境保护是当前经济工作中的重点。伴随经济全球化和“一带一路”战略的不断深入,生产要素国际流动日趋频繁。乡村振兴是国家重要发展战略,其重要抓手是实现农业现代化。因此,在小农户与现代农业共存的经济背景下,分析要素国际流动的环境效果,并根据现代农业发展的不同特征,对乡村振兴战略实施初始阶段和全面实施阶段分别进行分析后发现:在战略实施初始阶段,劳动流入加剧污染,反之改善环境;在战略全面实施阶段,资本流入改善环境,反之恶化环境。     

Price gap anomaly in the US stock market: The whole story

This paper analyses the price gap anomaly in the US stock market (comprised of the DJI, S&P 500 and NASDAQ) covering the period 1928 to 2018. This paper aims to investigate whether or not price gaps create market inefficiencies. Price gaps occur when the current day’s opening price is different from the previous day’s closing price due orders placed before the opening of the market. Several hypotheses are tested using various statistical tests (Student’s t-test, ANOVA, Mann-Whitney test), regression analysis, and special methods, that is, the modified cumulative returns and the trading simulation approaches. We find strong evidence in favour of abnormal price movements after price gaps. We observe that during a gap day prices tend to change in the direction of the gap. A trading strategy based on this anomaly was efficient in that its results were not random, indicating that this market was not efficient. The momentum effect was found to be temporary and no evidence of seasonality in price gaps was found. Lastly, our results were also contrary to the myth that price gaps tend to get filled.     

Destruction and settlement norms as determinants of conflict: An evolutionary perspective

This paper studies conflict in a simple bargaining framework using an evolutionary game-theoretic approach. Our findings suggest that a player does not always regard the winning probability as an acceptable settlement rule. He accepts a division according to winning probability when the destruction caused to him in conflict is more than a threshold, which in turn depends on cost of conflict to the opponent and the size of the population. Further, our analysis shows that the norms with positive weight to disagreement payoff are effective against conflict, and incentivize peace. Contrary to the findings of extant studies carried out in finite population evolutionary game setting, the settlement possibility set is identical under both ESS and Nash equilibrium in our model with settlement norms.     

Fiscal rules and budget forecast errors of Italian municipalities

We study the impact of the domestic stability pact on the accuracy of budget forecasts of Italian municipalities. Identification of the causal effect exploits a quasi-natural experiment generated by the removal in 2001 of the fiscal restraints on budget decisions for municipalities with fewer than 5000 inhabitants and by stricter budgetary restrictions and severe penalties for noncompliers in 2002. We find that relaxing fiscal rules had a sizeable impact on budget forecast errors, especially in 2002. In fact, revenue (expenditure) forecast errors for municipalities with fewer than 5000 inhabitants became 26% (22%) larger than in the past.     

Assigning Refugees to Landlords in Sweden: Efficient,Stable, and Maximum Matchings*

In this paper, we investigate the problem of finding housing for refugees once they have been granted asylum. In particular, we demonstrate that market design can play an important role in a partial solution to the problem. More specifically, we investigate a specific matching system, and we propose an easy-to-implement mechanism that finds an efficient, stable, and maximum matching. Such a matching guarantees that housing is efficiently provided to a maximum number of refugees, and that no refugee prefers another specific landlord to their current match when, at the same time, that specific landlord prefers that refugee to their own current match.     

The impact of dual network structure on firm performance: the moderating effect of innovation strategy

ABSTRACT

Firm innovation is embedded in a collaboration network among researchers and a knowledge network composed of knowledge elements; the two networks are decoupled. Guided by social network theory, this study puts forward the definition and the classification of firm dual network structure, probes into the influence of dual network structure on firm performance, and explores the alignment between innovation strategy and firm dual network structure. We conduct an empirical study of 183 listed companies in China from 2004 to 2018. It is found that the four types of dual network structure all have positive impacts on firm performance, and the impact of a collaboration network is slightly higher than that of a knowledge network. Besides, innovation strategy plays a positive moderating role in the relationship between dual network structure and firm performance. Our findings provide new ideas for firms to identify and optimise knowledge and collaboration network structures and match them with innovation strategy to improve performance.     

旅游产业与农村可持续生计耦合的空间格局及驱动机制——以张家界为例

通过构建乡村旅游与农村可持续生计系统指标体系,运用变异系数和耦合协调度模型对2005—2018年张家界乡村旅游与农村可持续生计的耦合度和协调度进行测算,分析耦合协调度的空间格局,并运用地理探测器方法对其驱动机制进行分析。研究表明:①2005—2018年耦合协调度保持连续上升的趋势;②乡村旅游发展初期呈现东部高西部低的分布格局,中期呈现东南部滞后于西部的分布格局,但最终张家界整个区县达到优质协调;③耦合协调度空间分异的主要影响因素有人均GDP、旅游收入占GDP比重、农业机械化水平和人均财政收入等,且具有明显的时间异质性特征。     

The Role of Inflation Target Adjustment in Stabilization Policy

How and under what circumstances can adjusting the inflation target serve as a stabilization-policy tool and contribute to welfare improvement? We answer these questions quantitatively with a standard New Keynesian model that includes cost-push-type shocks. Our proposed inflation target rule calls for the target to be adjusted in a persistent manner and in the opposite direction to the realization of a cost-push shock, which is essentially a makeup strategy. The inflation target rule, combined with a Taylor-type rule, significantly reduces inflation fluctuations originating from cost-push shocks and mitigates the stabilization trade-off, resulting in a similar level of welfare to that associated with the Ramsey optimal policy.     

High frequency momentum trading with cryptocurrencies

Over the past few years, cryptocurrencies have increasingly been discussed as alternatives to traditional fiat currencies. These digital currencies have garnered significant interest from investment banks and portfolio managers as a potential option to diversify the financial risk from investing in other assets. This interest has also extended to the general public who have seen cryptocurrencies as a way of making a quick profit. This paper provides a first insight into the applicability of high frequency momentum trading strategies for cryptocurrencies. We implemented two variations of a signal-based momentum trading strategy: (i) a time series method; (ii) a cross sectional method. These strategies were tested on a selection of seven of the largest cryptocurrencies ranked by market capitalization. The results show that there exists potential for the momentum strategy to be used successfully for cryptocurrency trading in a high frequency setting. A comparison with a passive portfolio strategy is proposed, which shows abnormal returns when compared with the momentum strategies. Furthermore, the robustness of our results are checked through the application of the momentum strategies other sample periods. We also compare the performances of the signal-based momentum strategies with returns-based versions of the strategies. It is shown that the signal-based strategy outperforms the returns-based strategy. However, there appears to be no single parameterization of the signal-based strategies that can generate the greatest cumulative return over all sample periods.