Best classification algorithms in peer-to-peer lending

A proper credit scoring technique is vital to the long-term success of all kinds of financial institutions, including peer-to-peer (P2P) lending platforms. The main contribution of our paper is the robust ranking of 10 different classification techniques based on a real-world P2P lending data set. Our data set comes from the Lending Club covering the 2009–2013 period, which contains 212,252 records and 23 different variables. Unlike other researchers, we use a data sample which contains the final loan resolution for all loans. We built our research using a 5-fold cross-validation method and 6 different classification performance measurements. Our results show that logistic regression, artificial neural networks, and linear discriminant analysis are the three best algorithms based on the Lending Club data. Conversely, we identify k-nearest neighbors and classification and regression tree as the two worst classification methods.     

From rationality to hyperreality: paradigm poker

This paper, following McGoun's (1997) seminal article comparing the economy of financial securities to a hyperreal poker game, argues that finance and accounting researchers should take the “linguistic turn” that has rejuvenated theory and research in many, if not most, of the social science and humanities in recent decades. In general terms, this means following Ludwig Wittgenstein's language game paradigm rather than Karl Popper's scientific deductive hypothesis testing methodology. The paper illustrates this by drawing on some of Jean Baudrillard's' ideas, particularly his concept of hyperreality and his phases of the image theoretic.The paper presents a poststructuralist genealogical analysis of the radical ruptures and reformulation of the meaning attributed to the accounting sign of earnings over the feudal, counterfeit, production, and simulation eras. It concludes that, as with many other signs in contemporary society, the earnings sign no longer has any relationship with, nor does it any longer refer to, any real or intrinsic profit but instead floats ungrounded in today's financial economy.The paper recommends that researchers in finance and accounting adopt paradigms from literary theory, semiotics, linguistics, and semiology rather than continue to rely on economics-based theory, which has lost its power for explaining and predicting happenings in today's financial economy of self-referencing models and images.     

反倾销应诉的集体行动研究——行业协会克服"搭便车"机制的思考

本文针时我国企业在反倾销共同应诉中的不合作或者“搭使车”问题，试图探讨行业协会作为一种治理机制，如何提供或设计一种有效的制度安排（如俱乐部规范），把一群相互依存的企业组织起来，并通过自主性努力克服不合作或“搭便车”，以取得长期的共同利益的实现。     

Optimal mechanisms for siting noxious facilities

We study Bayesian mechanism design in the context of the siting of noxious facilities. Under incomplete information, we characterize optimal mechanisms facilitating the siting and cost sharing of the facility. These mechanisms are allocatively and Pareto efficient. However, it appears that transfers occur when the good is not provided. This result is due to the weakening of the incentive notion to Bayesian–Nash equilibrium and to the balanced budget condition. This phenomenon disappears if the setting is perfectly symmetric.      

西安朱雀网球俱乐部的现状分析

本文通过调查问卷法、文献资料法、数据统计法、访谈法就西安朱雀网球俱乐部市场的教学规模、参加网球学习的学员具体情况做出分析。发现网球培训价格偏高,网球培训的配套服务较少,广告煤体选择欠佳,促销手段单一,工作人员服务质量欠缺等问题。针对这些问题提出了:改进宣传方法,加大宣传力度,完善配套项目,提高教学质量,提供优质服务,加强俱乐部合作等建议。这些建议为西安朱雀网球俱乐部的经营管理工作提供了理论参考依据。     

从多哈回合中止看多边贸易谈判机制的效率

本文主要探讨了多边贸易谈判机制存在的必要性、经济学本质,及其顺利运行的前提条件。     

俱乐部旅游:实施、意义与前景

本文根据实地调研，讨论国内新近出现的一种新的旅游方式——俱乐部旅游。文章首先分析这种旅游方式成功实施的三要素，即相关主体、旅游线路设计、物质准备及费用；其次，从旅游者、当地社区、旅游组织者以及旅游目的地生态环境和遗产保护等角度，对俱乐部旅游进行收益分析，并同时与其他旅游方式进行效益比较；第三，通过讨论俱乐部旅游与“大众旅游”、“自助旅游”、“另类旅游”以及“活动旅游”等旅游概念的关系，对其进行学术定位；最后，从俱乐部旅游的易行性、潜在的参加者群体、与户外健身运动的关联性、以及中国户外运动资源等4个方面，指出俱乐部旅游在中国的发展前景。     

Exploring the development trend of internet finance in China: Perspective from club convergence

We first employ β-conditional convergence and log t regression tests based on nonlinear time-varying factor model and club clustering algorithm to analyze the convergence characteristics of the development level of Internet finance in 335 prefecture-level cities in China. The result of log t regression test illustrates that there is no convergence as a whole in the development level of China's Internet finance. However, seven convergence clubs and a divergent group have been formed, and the development level and growth rate of Internet finance among these convergence clubs have shown obvious differences. Moreover, we also employ the Ordered Probit to explore the formation mechanism of the convergence clubs. The results reveal that the regions with a higher level of economic development, traditional financial development, economic openness and Internet development are more inclined to converge in a club with a higher Internet finance development level. Alternatively, the regions that are interfered with more by the government or that have a lower degree of marketization, tend to converge in a club with a lower level. Finally, according to the conclusions, we propose corresponding policy recommendations for promoting the regional coordinated development of China's Internet finance.     

西安市经营性健身俱乐部发展现状及对策研究

随着人们健康意识的不断增强和"花钱买健康"理念的建立,西安市民对体育健身市场需求在不断扩大,经营性健身俱乐部的数量也随之逐渐增多,然而一些相应的问题也开始暴露出来,本文主要以西安市健身俱乐部的经营现状以及存在问题为研究对象,以经营者、健身教练、健身消费者为调查。运用文献资料法、问卷调查法、访谈法、逻辑分析法、数理统计法等多种研究方法,为经营性健身俱乐部的科学化经营管理提供参考依据。