腐败与金融包容性国际经验研究

金融包容性是指提高低成本的金融服务的广泛可得性。金融服务普及的深度和广度对国民经济的发展起到了至关重要的作用。而腐败会影响金融包容性,将贫困弱势群体排除在外,客观上形成金融排斥,加重小微企业贷款难、贷款贵等问题,降低金融服务实体经济的能力和质量。本文选取1995—2016年170个国家和地区建立非平衡面板数据模型,经过实证研究发现：腐败会显著降低金融服务的包容性,但会提高金融服务的可得性。并且腐败会通过提高银行贷款利率,增加贷款规模以及提高企业融资难度传导到金融包容性。此外,本文还进行了内生性检验,并按时间、经济发展速度、人口规模和地区划分进行异质性分析。本研究填补了腐败对金融包容性影响机制研究的空白,从而丰富了腐败对金融市场影响的研究,也为普惠金融的发展提供了重要补充。     

Performance assessment of ensemble learning systems in financial data classification

Financial data classification plays an important role in investment and banking industry with the purpose to control default risk, improve cash and select the best customers. Ensemble learning and classification systems are becoming gradually more applied to classify financial data where outputs from different classification systems are combined. The objective of this research is to assess the relative performance of existing state‐of‐the‐art ensemble learning and classification systems with applications to corporate bankruptcy prediction and credit scoring. The considered ensemble systems include AdaBoost, LogitBoost, RUSBoost, subspace, and bagging ensemble system. The experimental results from three datasets: one is composed of quantitative attributes, one encompasses qualitative data, and another one combines both quantitative and qualitative attributes. By using ten‐fold cross‐validation method, the experimental results show that AdaBoost is effective in terms of low classification error, limited complexity, and short time processing of the data. In addition, the experimental results show that ensemble classification systems outperform existing models that were recently validated on the same databases. Therefore, ensemble classification system can be employed to increase the reliability and consistency of financial data classification task.     

湖北省乡村旅游资源分类与评价研究

乡村旅游是我国当前旅游发展的热点之一,乡村旅游资源分类与评价是合理开发、科学规划乡村旅游的基础。根据资源的价值和功能,构建了湖北省乡村旅游资源分类体系,包括8个主类,18个亚类,41个基本类型。湖北省乡村旅游资源特色突出,四季赏花资源丰富,千湖之省水乡风光典型,乡村文化深远且地域差异明显。在此基础上,提出了乡村旅游资源定量评价方法与标准,并对湖北省乡村旅游资源结构、等级、地域分布进行了评价,最后提出了湖北省乡村旅游发展的相关策略。     

The future of Russian gas exports to East Asia: Feasibility and market implications

For a long time, the Russian government has aimed to diversify gas exports to East Asian countries. This gearing of Russia towards Asia will have great consequences on world energy, the global economy, and geopolitics in the coming years. This paper analyzes the growth potential of Russia's diversification strategy and the impact this policy would have on sales to Europe. As the most likely scenario is for total gas exports to grow at a moderate rate from 2010 to 2030, any increase in sales to Asia could make difficult the raising of exports to Europe. Our thesis is that this trade-off will depend primarily on domestic consumption trends, geographic targeting of investments, and commercial and financial alliances with foreign partners. However, imports from Central Asia, declining exports to Ukraine and Belarus, and Gazprom investments in other gas-producing countries could also affect gas exports and gas distribution among different markets.     

Good news, bad news and rating announcements: An empirical investigation

In this paper we employ a new approach to test the contribution of information in rating announcements. This is the first study to test and corroborate how the CDS market responds to rating actions after controlling for the presence of concurrent public and private information. We show that since the clustering of rating announcements characterizes economically significant developments, the common practice of using “uncontaminated” samples underestimates market response. As in previous studies, we find that the market response to bad news is stronger than to good news. Nevertheless, bad news and negative rating announcements tend to cluster. Therefore, the residual contribution of negative rating announcements is small and in some cases insignificant. Positive rating announcements are less frequent and less clustered, though their residual contribution is still significant.     

P-star in times of crisis – Forecasting inflation for the euro area

In this paper we present three empirically testable versions of the common p-star model and evaluate their forecasting performance using conventional techniques. We try to answer the question if the p-star approach is preferable to achieve a reliable short-run inflation forecast and with regard to the latter we incur the need for a stable demand for money function. Our findings indicate the recurrence of the relevance of the monetary pillar of the ECB's two-pillar framework. In addition, we check for the effects of the current financial and economic crisis that started in 2007 on the forecasting performance, using two sub-sample periods, one excluding and one including the latter, and analyze the impact of the applied filter technique to compute the required equilibrium values.     

Do optimal diversification strategies outperform the 1/N strategy in U.K. stock returns?

This paper examines whether optimal diversification strategies outperform the 1/N strategy in U.K. stock returns. The study focuses on the performance of recent strategies developed by Tu and Zhou (2011) and Kirby and Ostdiek (2010). I find that a number of optimal asset allocation strategies can significantly outperform the 1/N strategy even after adjusting for trading costs. The strategies developed by Kirby and Ostdiek outperform the 1/N strategy, even at higher trading costs, due to the low turnover of these strategies. The strategies of Tu and Zhou have mixed performance after adjusting for trading costs due to the high turnover of these strategies. The results of the paper provide support for the use of optimal diversification strategies.     

Gold and the US dollar: Hedge or haven?

Using a model of dynamic conditional correlations covering 23 years of weekly data for 16 major dollar-paired exchange rates, this paper addresses a practical investment question: Does gold act as a hedge against the US dollar, as a safe haven, or neither? Key findings are as follows. (i) During the past 23 years gold has behaved as a hedge against the US dollar. (ii) Gold has been a poor safe haven. (iii) In recent years gold has acted, increasingly, as an effective hedge against currency risk associated with the US dollar.     

Exchange rate regime choice and currency crises

Exchange rate regime choice is not exogenous, but it depends on the structural, political and financial features of countries. However, it is often the case that the regime actually pursued and the one that is imposed by country features do not match one to one. The existing empirical crisis models do not take fully into account the regime in which the crisis unfolded. The aim of this paper is to incorporate the appropriateness of the regime choice into the standard currency crisis model. The results show that the odds of crisis increase significantly in countries which have chosen regimes inconsistently.     

“主体-技术”协同视角下的战略性新兴产业创新网络分类研究——以新能源汽车产业为例

本文以“主体-技术”协同视角来分析战略性新兴产业创新网络形成的内在机理和分类模式。在结合2-模网络理论基础上，从核心技术和创新主体两个维度出发，将战略性新兴产业创新网络分为单核心实验室型、单核心产业链型、单核心辅助型、单核心复合型、多核心实验室型、多核心产业链型、多核心辅助型和多核心复合型。同时，以中国新能源汽车产业为例，通过实证分析发现：除了单核心辅助型和多核心辅助型之外，其它6种模式均存在，并进一步对其创新网络的分类模式及相关特征进行了全面分析。