Deep learning for modeling the collection rate for third-party buyers

This study evaluates a wide range of machine learning techniques such as deep learning, boosting, and support vector regression to predict the collection rate of more than 65,000 defaulted consumer credits from the telecommunications sector that were bought by a German third-party company. Weighted performance measures were defined based on the value of exposure at default for comparing collection rate models. The approach proposed in this paper is useful for a third-party company in managing the risk of a portfolio of defaulted credit that it purchases. The main finding is that one of the machine learning models we investigate, the deep learning model, performs significantly better out-of-sample than all other methods that can be used by an acquirer of defaulted credits based on weighted-performance measures. By using unweighted performance measures, deep learning and boosting perform similarly. Moreover, we find that using a training set with a larger proportion of the dataset does not improve prediction accuracy significantly when deep learning is used. The general conclusion is that deep learning is a potentially performance-enhancing tool for credit risk management.     

Ownership discrimination and private firms financing in China

This study examines the financing/funding of private firms in China. Our results show that private firms are significantly less funded through formal financing channels such as bank loans than state-owned firms, and hence have to resort to alternative financing such as trade credit. Consistent with the theoretical expectation and literature, there is a substitution effect between trade credit and bank loans for private firms, but this effect is much weaker compared to that of state-owned firms. Moreover, while the univariate comparisons indicate that private firms obtain more notes payable than state-owned firms, the multivariate regression analyses show that the relation between bank loan and notes payable is positive and indifferent between private and state-owned firms.     

Impact of state-dependent oil price on US stock returns using local projections

In this paper, we investigate the impact of oil prices on both aggregate and industry US real stock returns over the period 1973–2017. The empirical analysis contributes to the related literature introducing a state-dependent oil price (high and low) and the local projections approach. Our main finding is that, depending on the nature of the shock and industry, the negative effects of oil price shocks become exacerbated -and the positive effects get moderated- if oil prices are already high.     

公司业绩与财务杠杆

本文从实证角度分析了我国上市公司的财务杠杆对公司业绩的影响。结果表明,往年财务杠杆和当年财务杠杆对当年公司业绩的影响截然相反。财务杠杆对公司的息税后收益和息税前收益均有影响。长期负债率和长期借款率对公司业绩的影响分别比同年的流动负债率和短期借款率对公司业     

美国调节区域经济差异的财政措施及启示

美国的地理位置和历史文化决定了美国区域经济的发展严重不平衡.本文分析了美国政府对落后地区经济的财政调节措施,这对我国在市场经济条件下调节区域经济,推进西部大开发,一定具有深刻的启示.     

民办本科院校经济管理专业实践性教学初探

分析了本科院校的教育定位和经济管理类专业的教学模式;探讨以信息和信息技术完美的结合为实践型教育的支撑点,倡导学校具体教学单位与专业软件开发商共同研究开发出经济管理专业的应用型教学模拟软件并用于教学的问题。     

经济转型条件下的会计监管模式

目前，我国正处在经济转型过程当中，不完全改革引起了时而出现的宏观经济不稳定、就业得不到保证、越来越大的竞争压力、社会不公平的增加、难以削减的贫困以及严重的腐败问题，都与转型期的特点密切相关。而现代企业制度产生的双元控制主体的利益不一致、信息不对称，造成了现实中会计信息严重失真，影响了资本市场的有效运行。因此，引入以“政府为主导的会计监管模式”，可从源头上防范和治理腐败，保障现代企业制度的顺利实施，提高会计信息质量，维护市场经济秩序。     

西汉初期“与民休息”政策述论

西汉初期是我国农业经济迅速恢复并达到空前繁荣的时期,这与西汉初期统治集团采取了比较符合实际的"与民休息"的经济政策紧密相关。其时代背景主要是鉴于秦朝实行严刑峻法、横征暴敛政策而亡的历史教训,以及汉初经济崩溃、民生凋敝的实际状况。"与民休息"政策内容丰富,主要包括调整土地关系、赋予军功贵族免役特权、免部分官私奴婢为庶人、减免田税口算徭戍、崇尚节俭和轻刑慎罚等六个方面。"与民休息"的经济政策,将为我们今天解决"三农"问题,发展农业经济,建设社会主义新农村提供有益的借鉴。     

Stability, Asymmetry and Seasonality of Fund Performance: An Analysis of Australian Multi‐sector Managed Funds

Using a sample of Australian Multi-sector trusts we examine selectivity and market timing performance and extend the analysis to include the relatively new measure of volatility timing. This is of particular relevance to our data set, as high levels of volatility persistence are prevalent in Australia. In addition we consider the stability, asymmetry and seasonality of the various performance and risk measures. A survivorship adjustment procedure is also employed in order to assess the impact of survivorship on selectivity, market timing and volatility timing performance.     

The best way of bilateral special economic zone to Sino-Vietnam economic cooperation

The Bilateral Special Economic Zones is a new idea about economic co-operation ways. It is going to be set by both countries with a common boundary for promoting the economic co-operation between two sides. It can be firstly set along the boundary between China and Vietnam. It will promote the economic co-operation between them, but China and ASEAN. It can be set along the Chinese boundary with the neighboring countries and will promote the economic co-operation between the both sides for setting up a better environment around China.