Cluster Analysis for mixed data: An application to credit risk evaluation

Credit risk is one of the main risks faced by a bank to provide financial products and services to clients. To evaluate the financial performance of clients, several scoring methodologies have been proposed, which are based mostly on quantitative indicators. This paper highlights the relevance of both quantitative and qualitative features of applicants and proposes a new methodology based on mixed data clustering techniques. Indeed, cluster analysis may prove particularly useful in the estimation of credit risk. Traditionally, clustering concentrates only on quantitative or qualitative data at a time; however, since credit applicants are characterized by mixed personal features, a cluster analysis specific for mixed data can lead to discover particularly informative patterns, estimating the risk associated with credit granting.     

Virtual reality and mixed reality for second chance tourism

The deterioration of attractions, landmarks, artefacts and destinations is a critical issue facing tourism across the world. The closure of tourism sites and attractions is increasingly more common due to the difficulty and expense of managing preservation with onsite tourism engagement. However, the closure or destruction of tourism sites presents challenges for tourism development. The inability to foster meaningful visitor engagement at sites has implications for the local communities. This paper aims to explore the efficacy of creating tourism experiences in destinations and sites that have succumbed to over-tourism, resultant deterioration and even, destruction. To achieve this objective, the paper introduces the concept of second chance tourism and the role of innovative preservation methods such as virtual and mixed reality. Based on the proposed framework, the collation of data will provide indications on site preservation and impact mitigation via a second chance to reduce pressure on inherently fragile destinations.     

公开市场操作与利率期限结构行为——基于混频数据信息的研究视角

在混频数据信息环境中,精准识别公开市场操作(央行政策利率)和国债收益率曲线(基准利率体系)之间的关联机制至关重要,其影响了货币政策期限结构传导的有效性。本文在混频Nelson-Siegel(N-S)利率期限结构模型框架下,引入央行政策利率,揭示公开市场操作与利率期限结构(水平、斜率、曲度)因子之间的作用机制。实证结果表明:混频数据信息条件下,引入的公开市场操作信息显著改进国债收益率曲线的拟合效果;斜率因子冲击对公开市场操作具有显著的正向影响,而利率期限结构因子对政策调控的反应不敏感。进一步研究表明,2015年以来,公开市场操作对斜率因子的影响逐渐扩大,政策利率向国债收益率曲线的传导效率得到显著提高,我国现代货币政策框架日益健全。     

Mixed Duopoly,Merger and Multiproduct Firms

The literature on mergers has extensively analyzed the decision to merge by private firms, but it has not considered the decision to merge by private and public firms. We assume that when a private firm and a public firm merge (or when one of them acquires the other), they set up a multiproduct firm in which the government owns an exogenous percentage stake. In this framework, we show that the decision to merge by firms depends on the degree to which goods are substitutes and on the percentage of the shares owned by the government in the multiproduct firm.     

Minimum Quality Standards under Asymmetric Duopoly with Endogenous Quality Ordering: A Note

In this note, we revisit minimum quality standards (MQS) under a vertically differentiated duopoly. We generalize the model in Ronnen (1991) and Valletti (2000) by introducing asymmetry into the fixed cost of quality improvement and by explicitly taking into account the endogeneity of quality ordering. In the generalized model, we show that the results derived by Ronnen (1991) and Valletti (2000) are largely robust.     

浅议混合所有制企业的内部审计

本文对多种经济成份构成的经济组织,混合所有制企业内部审计的重要性作了论述,提出了混合所有制企业内部审计组织机构的设置原则,独立性原则和权威性原则。介绍了目前常见的混合所有制企业内审组织机构的设置模式:总经理领导的组织模式、监事会领导的组织模式和董事会领导的组织模式及其利弊。提出了混合所有制企业内部审计的主要内容,对混合所有制企业内部审计的规范化和内审人员的素质也提出了要求。     

对我国金融业经营模式选择的思考

国际金融业混业经营已成定势，并显示出强大的生命力和竞争优势，我国金融业目前仍处于较严格的分业经营状态，不利于参与国际竞争和自身发展。深化和加快我国金融业经营机制尤其是金融法制的改革势在必行。     

论混合市场及其最优均衡

本从制度经济学角度，对市场的经济内涵作了创新性的分析，指出市场是“公”权市场和“私”权市场的混合体，在此基础上分析传统市场的形态和现代混合市场的发展方向，最后对混合市场的最优均衡作探索性的分析。     

关于社会保险的深层次思考

正确认识社会保险税并非一般意义上的税，而是介于税费之间，从而跳出了目前的费改税之争，对当前我国社会保障制度的构建具有重要的指导作用。关于社会保险模式的选择，结合我国实际，针对不同群体可选择“并列型和个人主导型”。运用收支两条线和提高社会保障立法层次构建起社会保障运行的制约机制。同时，要在工会的参与实施下，通过制度规则建企，构建社会保险的补充形式，如企业保险、社区互助等。     

Sharing my way to success: A case study on developing entrepreneurial ventures using social capital in an OSS community

While Open Source Software (OSS) communities provide opportunities for knowledge creation, we have a limited understanding of how entrepreneurs leverage OSS communities for their entrepreneurial ventures. Using social capital theory in a mixed methods case study, we compare entrepreneur and non-entrepreneur behaviors to investigate how entrepreneurs build social capital within an OSS community. This study shows that entrepreneurs differentiate themselves from non-entrepreneurs by focusing on cognitive and relational capital building activities, which in return makes it possible for them to leverage their social capital to influence and shape the environment in which they are operating. Our findings suggest that entrepreneurs strategically select which activities within the community to expend their limited resources on (e.g., developing code over participating in email conversations) and build their social capital more through their actions than through their words (e.g., showing their commitment to the community through code commits, bug fixes, and documentation). Given the liabilities of newness and smallness as well as other challenges faced by entrepreneurs, applying an open innovation strategy in OSS communities could be one approach where entrepreneurs, by developing and freely revealing their intellectual property to the community, share their way to success via OSS-infused entrepreneurial business ventures.