Matching Items (4)
Filtering by
- All Subjects: Information asymmetry
- All Subjects: investor behavior
- Genre: Academic theses
- Creators: Yan, Hong
- Creators: Liang, Bing
- Member of: Theses and Dissertations
Description中医药是中华文明的瑰宝，中药材是中医药文化和产业的核心。随着近年来国家相关政策出台，中药材产业的发展备受瞩目。由于中药材产业链条长，层级多，各层级间信息不对称，因而中药材市场普遍具有“假”、“乱”、“杂”的问题。
A公司的中药材全产业链服务商模式，通过对上游各主要专营商的整合，形成一定的平台综合集采能力，并开始得到下游医药厂家、药店认可，在市场逐步形成品牌号召力。本文实证研究A公司商业模式的转型对中药材市场价格的影响，进而分析中药材全产业链服务商模式在中药材行业健康发展中所发挥的积极作用。研究结果表明，上下游产销结合的中药材全产业链服务商模式，只有在形成一定收购规模，对市场价格产生一定影响的时候，才能充分释放药材质量的信号，润滑药材交易市场，提高收购价格，增加市场波动率，发挥价格发现作用。由于中药材市场的信息不对称程度较高，如果产销结合模式仍处于初级开创阶段，产销结合模式释放的药材质量信号则不足以全面改善信息不对称的状况。
A公司的中药材全产业链服务商模式，通过对上游各主要专营商的整合，形成一定的平台综合集采能力，并开始得到下游医药厂家、药店认可，在市场逐步形成品牌号召力。本文实证研究A公司商业模式的转型对中药材市场价格的影响，进而分析中药材全产业链服务商模式在中药材行业健康发展中所发挥的积极作用。研究结果表明，上下游产销结合的中药材全产业链服务商模式，只有在形成一定收购规模，对市场价格产生一定影响的时候，才能充分释放药材质量的信号，润滑药材交易市场，提高收购价格，增加市场波动率，发挥价格发现作用。由于中药材市场的信息不对称程度较高，如果产销结合模式仍处于初级开创阶段，产销结合模式释放的药材质量信号则不足以全面改善信息不对称的状况。
ContributorsYin, Xiaowei (Author) / Shen, Wei (Thesis advisor) / Yan, Hong (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2019
Description中国证券市场一直存在着双重上市公司A、H股价差异现象，这一“同股同权不同价”的现象，长期以来都是国内外学者热议的课题之一。
本文在系统性整理前人研究成果基础上，首先对造成A、H股价差效应的内在逻辑进行了系统梳理，提炼出影响双重上市公司A、H股价格差异的9个潜在因素：信息不对称、需求差异、流动性差异、投机性差异、风险差异、公司治理结构、利率差异、市场强弱差异、汇率预期。其次，本文为各潜在影响因素构建了新的代理变量，建立面板数据模型，从全市场和行业两大视角做了实证分析，验证了影响双重上市公司A、H股价格差异的可能因素，且实证结果均通过了平稳性检验。实证结果显示：全市场视角下，仅公司治理结构和市场强弱差异对A、H价格差异的影响不显著。行业视角下，对于金融行业的双重上市公司而言，影响其A、H股价格差异的因素包括：需求差异、流动性差异、风险差异、市场强弱差异、利率差异；信息不对称、投机性差异、公司治理结构、汇率预期不具有显著影响。而对于非金融行业的双重上市公司而言，影响其A、H股价格差异的因素包括：信息不对称、需求差异、流动性差异、风险差异、投机性差异、市场强弱差异、利率差异、汇率预期；公司治理结构则不是显著的影响因素。
本文在实证分析所得结论的基础上，考虑到当前A、H股市场的现状，提出了加强资本市场双向开放、大力发展以基金为代表的机构投资者、坚定推行股票发行注册制改革、推动金融创新、丰富投资工具等建议。这一研究结果对于推动我国资本市场进一步完善，具有重要的理论与现实意义。
本文在系统性整理前人研究成果基础上，首先对造成A、H股价差效应的内在逻辑进行了系统梳理，提炼出影响双重上市公司A、H股价格差异的9个潜在因素：信息不对称、需求差异、流动性差异、投机性差异、风险差异、公司治理结构、利率差异、市场强弱差异、汇率预期。其次，本文为各潜在影响因素构建了新的代理变量，建立面板数据模型，从全市场和行业两大视角做了实证分析，验证了影响双重上市公司A、H股价格差异的可能因素，且实证结果均通过了平稳性检验。实证结果显示：全市场视角下，仅公司治理结构和市场强弱差异对A、H价格差异的影响不显著。行业视角下，对于金融行业的双重上市公司而言，影响其A、H股价格差异的因素包括：需求差异、流动性差异、风险差异、市场强弱差异、利率差异；信息不对称、投机性差异、公司治理结构、汇率预期不具有显著影响。而对于非金融行业的双重上市公司而言，影响其A、H股价格差异的因素包括：信息不对称、需求差异、流动性差异、风险差异、投机性差异、市场强弱差异、利率差异、汇率预期；公司治理结构则不是显著的影响因素。
本文在实证分析所得结论的基础上，考虑到当前A、H股市场的现状，提出了加强资本市场双向开放、大力发展以基金为代表的机构投资者、坚定推行股票发行注册制改革、推动金融创新、丰富投资工具等建议。这一研究结果对于推动我国资本市场进一步完善，具有重要的理论与现实意义。
ContributorsWang, Huan (Author) / Zhu, Hongquan (Thesis advisor) / Li, Feng (Thesis advisor) / Yan, Hong (Committee member) / Arizona State University (Publisher)
Created2019
Description
After the 2008 financial crisis, along with information technology and its application
innovation into the burst period, Shared faster economic growth, and then entered into a
rapid expansion in 2014, quickly penetrate into many areas and market segments.
As the securities industry practitioners and Internet financial practitioners, I am
very concerned about sharing economic model in the development of securities
investment niche. As the Internet and mobile penetration rate rise in recent years, the
Internet financial in the rapid development of our country, investors get used for
investment decision-making information via the Internet. Internet social investment
sharing platform based on knowledge sharing and rapid development, has formed
"opinion leaders", "combined with", "automated financial innovation model". The
emergence of these new patterns, provide investors with investment of knowledge sharing,
the investors behavior changes, many small and medium-sized investors into social
sharing platform for the combination of investment talent information and follow orders,
and centered on investment talent view form fan interaction.
This article around the "Shared economic environment on the impact of portfolio
share on investor behavior research," the theme, the relevant literature and resources, and
to detect Shared economic environment provided by the social share portfolio, whether to
change the traditional information decision and disadvantages of small and medium-sized
investors, whether really improved the small and medium-sized investors return on
investment, its conclusion try to explain the traditional period research literature on active
investment and passive investment, the relevant conclusions of small and medium-sized
investors and institutional investors, sharing in the Internet the rapid development of
economic period is changed.
innovation into the burst period, Shared faster economic growth, and then entered into a
rapid expansion in 2014, quickly penetrate into many areas and market segments.
As the securities industry practitioners and Internet financial practitioners, I am
very concerned about sharing economic model in the development of securities
investment niche. As the Internet and mobile penetration rate rise in recent years, the
Internet financial in the rapid development of our country, investors get used for
investment decision-making information via the Internet. Internet social investment
sharing platform based on knowledge sharing and rapid development, has formed
"opinion leaders", "combined with", "automated financial innovation model". The
emergence of these new patterns, provide investors with investment of knowledge sharing,
the investors behavior changes, many small and medium-sized investors into social
sharing platform for the combination of investment talent information and follow orders,
and centered on investment talent view form fan interaction.
This article around the "Shared economic environment on the impact of portfolio
share on investor behavior research," the theme, the relevant literature and resources, and
to detect Shared economic environment provided by the social share portfolio, whether to
change the traditional information decision and disadvantages of small and medium-sized
investors, whether really improved the small and medium-sized investors return on
investment, its conclusion try to explain the traditional period research literature on active
investment and passive investment, the relevant conclusions of small and medium-sized
investors and institutional investors, sharing in the Internet the rapid development of
economic period is changed.
ContributorsMa, Gang (Author) / Gu, Bin (Thesis advisor) / Yan, Hong (Thesis advisor) / Shen, Wei (Committee member) / Arizona State University (Publisher)
Created2017
Description近年来，中国内地FOF业务发展迅速，但在业务发展初期的实践中，FOF管理人在遴选基金资产和预测其未来收益等方面遇到诸多困难，传统的FOF组合构建技术往往不理想。本文借鉴海外因子配置相关理论，尝试通过归因分析基金的收益来源，寻找能深度刻画基金经理管理能力的特质因子，创新性地提出了基于权益类基金的特质因子构建FOF组合的新方法。本文选择100家权益类私募基金，通过因子拆解剥离了市场、行业、风格等共同影响因素，遴选出特质因子表现更优的基金经理，而不是仅仅选择过往业绩好的基金经理，并基于特质因子构建一组FOF组合，与此同时，运用传统方法构建基于基金资产的另一组FOF组合，对比两种组合方法的组合绩效，实证结果显示基于特质因子的FOF组合绩效更优。本文进一步运用转移概率矩阵和相关性分析，找到了基于特质因子的FOF组合绩效更优的证据，即特质因子延续性更好和相关性更低。与基于基金资产的FOF组合配置传统方法相比，由于基金的特质因子延续性更好，运用历史数据预测未来收益的确定性相对更好；基金的特质因子之间的相关性低，大幅增强了FOF组合配置的稳定性和分散性。总体来讲，基于特质因子的FOF组合配置方法为FOF管理人提供了一个更量化、更有效、更稳健的组合配置新路径，能有效提升FOF组合配置的绩效。
关键词: FOF、因子投资、组合配置、特质因子
关键词: FOF、因子投资、组合配置、特质因子
ContributorsLi, Jie (Author) / Zhu, Hongquan (Thesis advisor) / Yan, Hong (Thesis advisor) / Liang, Bing (Committee member) / Arizona State University (Publisher)
Created2020