ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
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With the fast development of Chinese capital market, an increasing number of institutions and retail investors invest through professional managers. The key to evaluating investment manager’s skill and performance persistence largely lies in portfolio style research and attribution analysis.
The current dissertation takes advantage of a unique dataset, uncover hidden investment style and trading behavior, understanding their source of excess returns, and establishing a more comprehensive methodology for evaluating portfolio performance and manager skills.
The dissertation focuses on quantitative analysis. Highlights three most important aspects. Investment style determines the systematic returns and risks of any portfolio, and can be assessed ex-ante; Transaction can be observed and modified during the investment process; and return attribution can be implemented to evaluate portfolio (managers), ex-post. Hence, these three elements make up a comprehensive and logical investment process.
Investment style is probably the most important factor in determining portfolio returns. However, Chinese investment managers are under constant pressure to follow the market trend and shift style accordingly. Therefore, accurately identifying and predicting each manager’s investment style proves critically valuable.
In addition, transaction data probably provides the most reliable source of information in observing and evaluating an investment manager’s style and strategy, in the middle of the investment process.
Despite the efficacy of traditional return attribution methodology, there are clear limitations. The current study proposes a novel return attribution methodology, by synthesizing major portfolio strategy components, such as risk exposure adjustment, sector rotation, stock selection, altogether. Our novel methodology reveals that investment managers do not obtain much abnormal returns through risk exposure adjustment or sector rotation. Instead, Chinese investment managers seem to enjoy most of their excess returns through stock selection.
In addition, we find several interesting patterns in Chinese A-share market: 1). There is a negative relationship between asset under management (AUM) and investment performance, beyond certain AUM threshold; 2). There are limited benefits from style switching in the long run; 3). Many investment managers use CSI 300 component stocks as portfolio ballast and speculate with CSI500 and Medium-and-Small board component stocks for excess returns; 4). There is no systematic negative relationship between portfolio turnover and investment performance; despite negative relationship within certain sub-samples and sectors; 5). It is plausible to construct out-performing portfolios with style index funds and ETFs.
The current dissertation takes advantage of a unique dataset, uncover hidden investment style and trading behavior, understanding their source of excess returns, and establishing a more comprehensive methodology for evaluating portfolio performance and manager skills.
The dissertation focuses on quantitative analysis. Highlights three most important aspects. Investment style determines the systematic returns and risks of any portfolio, and can be assessed ex-ante; Transaction can be observed and modified during the investment process; and return attribution can be implemented to evaluate portfolio (managers), ex-post. Hence, these three elements make up a comprehensive and logical investment process.
Investment style is probably the most important factor in determining portfolio returns. However, Chinese investment managers are under constant pressure to follow the market trend and shift style accordingly. Therefore, accurately identifying and predicting each manager’s investment style proves critically valuable.
In addition, transaction data probably provides the most reliable source of information in observing and evaluating an investment manager’s style and strategy, in the middle of the investment process.
Despite the efficacy of traditional return attribution methodology, there are clear limitations. The current study proposes a novel return attribution methodology, by synthesizing major portfolio strategy components, such as risk exposure adjustment, sector rotation, stock selection, altogether. Our novel methodology reveals that investment managers do not obtain much abnormal returns through risk exposure adjustment or sector rotation. Instead, Chinese investment managers seem to enjoy most of their excess returns through stock selection.
In addition, we find several interesting patterns in Chinese A-share market: 1). There is a negative relationship between asset under management (AUM) and investment performance, beyond certain AUM threshold; 2). There are limited benefits from style switching in the long run; 3). Many investment managers use CSI 300 component stocks as portfolio ballast and speculate with CSI500 and Medium-and-Small board component stocks for excess returns; 4). There is no systematic negative relationship between portfolio turnover and investment performance; despite negative relationship within certain sub-samples and sectors; 5). It is plausible to construct out-performing portfolios with style index funds and ETFs.
ContributorsZhan, Yuyin (Author) / Gu, Bin (Thesis advisor) / Wang, Jiang (Thesis advisor) / Wang, Tan (Committee member) / Arizona State University (Publisher)
Created2016
Description
Given the "New Nine Measures" for capital market reform, a policy document issued by the State Council of China, the development of markets for interest rate derivatives, such as treasury futures, becomes an increasingly important task. Several shortcomings of the existing treasury futures market have been noted: including low market liquidity, singular investor composition, restrict contract terms, and low hedging demand.
This study contributes to a better understanding of the treasury futures market by analyzing changes in China treasury futures market regulations and their impact on market liquidity of treasury futures. Found that compared with the mature market, China treasury futures market exists liquidity shortage, the trading system, market structure and the division of regulatory are factors which influence the liquidity of China treasury futures market.
This study found that reducing transaction costs for further optimization of the width and depth of China treasury futures market are not obvious by using quantitative analysis method, expanding the smallest change price can optimize the market depth, reducing transaction costs and expanding smallest change price can optimize the immediacy, volume and hosting amount. In addition, the bond market will also influence the treasury futures market, the price fluctuations and the morphology of the yield curve of bond market have significant influence on width, depth and holdings of market.
The system of China treasury futures market needs to be optimized by expanding the smallest change price and reducing transaction costs. The market structure needs to be optimized by establishing unified bond market and enriching investor structure.
These findings have significant theoretical and practical implications. The study also provides policy recommendations for the design and establishment of treasury futures market to the regulatory agencies.
This study contributes to a better understanding of the treasury futures market by analyzing changes in China treasury futures market regulations and their impact on market liquidity of treasury futures. Found that compared with the mature market, China treasury futures market exists liquidity shortage, the trading system, market structure and the division of regulatory are factors which influence the liquidity of China treasury futures market.
This study found that reducing transaction costs for further optimization of the width and depth of China treasury futures market are not obvious by using quantitative analysis method, expanding the smallest change price can optimize the market depth, reducing transaction costs and expanding smallest change price can optimize the immediacy, volume and hosting amount. In addition, the bond market will also influence the treasury futures market, the price fluctuations and the morphology of the yield curve of bond market have significant influence on width, depth and holdings of market.
The system of China treasury futures market needs to be optimized by expanding the smallest change price and reducing transaction costs. The market structure needs to be optimized by establishing unified bond market and enriching investor structure.
These findings have significant theoretical and practical implications. The study also provides policy recommendations for the design and establishment of treasury futures market to the regulatory agencies.
ContributorsMa, Jun (Author) / Gu, Bin (Thesis advisor) / Chen, Hong (Thesis advisor) / Wang, Tan (Committee member) / Arizona State University (Publisher)
Created2016
Description城投债是地方政府投融资平台作为发行主体发行的债券，所融资金多被投入地方政府基础设施建设或者公益性项目，拥有地方政府信用的隐性担保。城投债在一定程度上缓解了地方政府在城市发展过程中资金的短缺问题，在我国城市化进程，促进当地经济发展，引导产业转型升级等方面做出了重大贡献。 随着城投债不断发展，代表城投债信用风险的主要考量点-城投债信用利差愈发备受关注。因为无论是城投债的承销机构，还是城投债的投资机构，包括涉及到城投债风险管控的政策制定部门，都会关注到城投债信用利差，那么影响城投债信用利差的影响因素有哪些呢，这些影响因素有哪些是对城投债信用利差有显著影响呢。 本文首先对城投债相关理论概念，包括政府投融资平台、城投债概念以及相关文献综述做了介绍；并指出了之前研究的一些不足之处等问题。同时对城投债的发展概况做了简要描述并进行了相关统计；其次针对影响城投债信用风险的相关因素进行了详细的分析，主要包括宏观经济因素分析、地方政府影响因素分析、发债主体影响因素分析和债项自身影响因素分析；通过分析每一种影响因素的具体情况，假设相关因素与信用利差的关系。然后再提取二手数据通过实证验证回归分析的方法分别验证假设是否成立，找出影响城投债信用风险的主要共同影响因素，同时得出影响最为强烈的几种因素。最后根据上述分析得出的相关结论， 提出防范与降低城投债信用风险的对策和建议。 该研究一方面引导市场正视城投债信用利差的各种因素，明确我们平时认为的影响因素和理论研究得出的影响因素是否一致；继而找到影响城投债信用利差的关键因素，供城 投债承销机构及投资机构做参考，同时提示城投债风险防范应重点关注的核心问题，为防范和降低城投债风险提供重要参考。
ContributorsLi, Juhui (Author) / Gu, Bin (Thesis advisor) / Liang, Bing (Thesis advisor) / Wang, Tan (Committee member) / Arizona State University (Publisher)
Created2019
Description中国改革开放以来经济高速发展，一部分人群快速积累了大量财富，迫切需要专业机构对其财富进行有效管理，激发了中国私人银行市场的蓬勃发展。本文利用M银行全部私人银行网点的客户资产配置数据，以省级行政单位为划分，从核心公共资源供给角度出发，探究地区公共资源财政支出对私人银行客户数量增长和资产配置的影响。本文通过实证研究发现：（1）在人均公共安全财政支出较高、人均公共教育财政支出较低的地区，即公共安全资源相对匮乏、公共教育资源相对丰富的地区，私人银行客户规模增速较快；（2）在人均公共安全财政支出较高，即公共安全资源相对匮乏的地区，高净值人群会积极配置流动性良好的银行存款类产品和保险类产品，同时会减少配置高风险、高收益的理财类产品和基金类产品；（3）在人均公共医疗卫生财政支出较高，即公共医疗资源相对匮乏的地区，高净值人群会积极配置银行存款类产品，同时减少保险类产品和理财类产品的配置比例；（4）在人均公共教育财政支出较高，即公共教育资源相对匮乏的地区，高净值人群会积极配置银行保险类产品和理财类产品，同时减少存款类产品的配置比例。
ContributorsMa, Ying (Author) / Shen, Wei (Thesis advisor) / Wu, Fei (Thesis advisor) / Wang, Tan (Committee member) / Arizona State University (Publisher)
Created2021