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In this thesis I examine the opportunities and challenges faced by the community banks in China. Rooted in the local communities, community banks generally focus on serving the local residents, farmers, and micro and small business enterprises (MSBE) through relationship building. Although community banks tend to be small relative to

In this thesis I examine the opportunities and challenges faced by the community banks in China. Rooted in the local communities, community banks generally focus on serving the local residents, farmers, and micro and small business enterprises (MSBE) through relationship building. Although community banks tend to be small relative to the other financial institutions, their unique market positions and business strategies have helped them to survive the competition and secure some market shares. Thus, it is important to understand the business strategies of community banks and to explore their future business opportunities and challenges.

I first provide a brief overview about the importance of local communities, community economy, and community banking, on the basis of an analysis about mismatch in the demand and supply of community financial services due to information asymmetry. Next, I review and analyze how commercial banks have utilized different types of information in their operations. I classify the information used by commercial banks into different categories and discuss their importance to the operations of commercial banks. After that, I conduct a case analysis to illustrate the role of non-financial information in the development of community banks’ business strategy. I conclude this thesis with a discussion of how community banks can better utilize data analysis to develop their core competencies in the era of “Big Data”.
ContributorsHou, Funing (Author) / Li, Feng (Thesis advisor) / Wang, Jiang (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2015
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Description
This paper quantitatively analyses the relation between the return of private

seasoned equity offerings and variables of market and firm characteristics in China Ashare

market. A multiple-factor linear regression model is constructed to estimate this

relation and the result canhelp investors to determine the future return of private

placement stocks.

In this paper, I first

This paper quantitatively analyses the relation between the return of private

seasoned equity offerings and variables of market and firm characteristics in China Ashare

market. A multiple-factor linear regression model is constructed to estimate this

relation and the result canhelp investors to determine the future return of private

placement stocks.

In this paper, I first review past theories about private placement stocks, including how

the large shareholder participation, the discount of private offerings, the firm

characteristics, and the investment on firm value will affect the return of private

offerings.

According to the past literature, I propose four main factors that may affect the

return of private placement. They are the large shareholders participation in private

placement; the discount that private placement could offer; the characteristics of the

companies that offer a private placement and the intrinsic value of such companies. I

adopt statistic and correlational analysis to test the impact of each factor. Then,

according to this single-factor analysis, I set up a multiple-factor linear regression model

on private seasoned equity offerings return in Chapter Four.

In the last two chapters, I apply this quantitative model to other fields. I use this

model to testify current financial products of private placement and develop investmen

strategies on stocks with private seasoned equity offerings in secondary market. My

quantitative strategy is useful according to the result of setback test.
ContributorsCao, Xuan (Author) / Pei, Ker-Wei (Thesis advisor) / Li, Feng (Thesis advisor) / Qian, Jun (Committee member) / Arizona State University (Publisher)
Created2017
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Description我国金融市场长期以来实行分业经营,但近年我国金融控股公司迅速发展,其体量极其庞大,对金融行业乃至整个经济体系产生系统性影响。随着金融全球化和经济金融化发展,金融业竞争日渐激烈,金融机构间跨行业以及金融集团化经营成为金融市场成熟完善的必然趋势。此外,中美贸易战迫使我国金融业加快开放步伐,意味着国内分业经营的金融机构将面临空前激烈的海外竞争。在内部需求以及外部压力的推动下,亟需提升我国金融机构的竞争力。在促使银行混业经营合规发展的同时,产生了一些问题:混业经营是否可以促进银行的绩效提升?混业经营通过何种渠道来作用于银行绩效?

本文通过案例分析与实证相结合的方式来解答上述问题。在案例分析部分,分别就银行拓展信托业务和保险业务两个方面展开分析,具体来说,在拓展信托业务方面,以浦发银行收购上海信托为案例分析了浦发银行开拓信托业务后对其经营绩效的影响;在拓展保险业务方面,以北京银行并购首创安泰为例,分析银保混业对北京银行带来的协同效应。在实证分析部分,首先,基于相关的理论以及文献提出三个假说:银行实施混业经营战略,可以提高银行的绩效水平;混业经营通过提高银行规模,增强规模经济优势,促进银行的绩效水平较高;混业经营会提高银行势力水平,从而提升银行的绩效水平。其次,建立回归模型来验证上述三个假说,研究了是否混业以及混业经营的程度对银行绩效的影响。最后,构建中介效应模型验证混业经营作用于银行绩效的渠道,本文主要检验了规模、市场势力两个渠道。

综合上述分析,本文认为混业经营会显著正向影响公司业绩,并且银行势力存在显著的中介传导效应,即银行通过混业经营增加了市场势力、提高了规模经济,从而影响了公司业绩。

案例分析结果支持上述结论,即混业经营会带来银行经营绩效的提升,但是同时也可能会带来短期的风险。

银行是否需要采取混业经营需要根据自身的经营情况,不能盲目扩张。业务的拓展需要与自身现有的业务形成互补,才能实现协同发展效应。在拓展业务的同时,需要注意开拓新的业务是否会给自身带来更多的经营风险。

关键词:混业经营;银行绩效;市场竞争;银行势力
ContributorsMiao, Rong (Author) / Shen, Wei (Thesis advisor) / Li, Feng (Thesis advisor) / Chiu, Tzu-Kuan (Committee member) / Shao, Benjamin (Committee member) / Arizona State University (Publisher)
Created2020