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Did small investors benefit from the Global Settlement?

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Responding to the allegedly biased research reports issued by large investment banks, the Global Research Analyst Settlement and related regulations went to great lengths to weaken the conflicts of interest faced by investment bank analysts. In this paper, I investigate

Responding to the allegedly biased research reports issued by large investment banks, the Global Research Analyst Settlement and related regulations went to great lengths to weaken the conflicts of interest faced by investment bank analysts. In this paper, I investigate the effects of these changes on small and large investor confidence and on trading profitability. Specifically, I examine abnormal trading volumes generated by small and large investors in response to security analyst recommendations and the resulting abnormal market returns generated. I find an overall increase in investor confidence in the post-regulation period relative to the pre-regulation period consistent with a reduction in existing conflicts of interest. The change in confidence observed is particularly striking for small traders. I also find that small trader profitability has increased in the post-regulation period relative to the pre-regulation period whereas that for large traders has decreased. These results are consistent with the Securities and Exchange Commission's primary mission to protect small investors and maintain the integrity of the securities markets.

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Agent

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Date Created
2011

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From Preference to Choice: An Empirical Analysis of Consumer Decision Making in

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In this study I investigate the factors that may influence consumer preference and choice in China’s home interior decoration industry. With the fast development of information technology such as the internet in China, it becomes increasingly important to have a

In this study I investigate the factors that may influence consumer preference and choice in China’s home interior decoration industry. With the fast development of information technology such as the internet in China, it becomes increasingly important to have a more precise understanding of consumer preference and choice in home interior decoration decisions so that companies in this industry can provide better services to meet customer needs. Using survey data from a sample of potential customers and a sample of existing customers of a large home interior decoration company, I find that (1) internet has become the mostly used channel by consumers to gather information about home interior decoration, (2) design style is the most influential factor in consumers’ choice of home interior decoration company, and (3) consumers are more likely to choose home interior decoration companies to provide full services when they are between 35 to 45 years old or above 55 years old, when it is the first time for them to purchase a real estate property, and when they are located in the Eastern region of China. Findings of this study can help home interior decoration companies better understand customer needs and preferences, facilitate changes in their marketing and sales strategies, and consequently strengthen their competitive advantage.

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Agent

Created

Date Created
2015

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The significance of non-financial information to the operation of commercial banks: community banking as an example

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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 relationshi

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”.

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Agent

Created

Date Created
2015

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A Model Framework to Estimate the Fraud Probability of Acquiring Merchants

Description

Using historical data from the third-party payment acquiring industry, I develop a statistical model to predict the probability of fraudulent transactions by the merchants. The model consists of two levels of analysis – the first focuses on fraud detection at

Using historical data from the third-party payment acquiring industry, I develop a statistical model to predict the probability of fraudulent transactions by the merchants. The model consists of two levels of analysis – the first focuses on fraud detection at the store level, and the second focuses on fraud detection at the merchant level by aggregating store level data to the merchant level for merchants with multiple stores. My purpose is to put the model into business operations, helping to identify fraudulent merchants at the time of transactions and thus mitigate the risk exposure of the payment acquiring businesses. The model developed in this study is distinct from existing fraud detection models in three important aspects. First, it predicts the probability of fraud at the merchant level, as opposed to at the transaction level or by the cardholders. Second, it is developed by applying machine learning algorithms and logistical regressions to all the transaction level and merchant level variables collected from real business operations, rather than relying on the experiences and analytical abilities of business experts as in the development of traditional expert systems. Third, instead of using a small sample, I develop and test the model using a huge sample that consists of over 600,000 merchants and 10 million transactions per month. I conclude this study with a discussion of the model’s possible applications in practice as well as its implications for future research.

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Agent

Created

Date Created
2015

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Research on critical indicators of Shanghai international financial center construction

Description

The city of Shanghai is set to become an international financial center (IFC) by 2020. To achieve this goal, it is imperative to clearly define the key characteristics of an IFC. In this study I draw from recent research on

The city of Shanghai is set to become an international financial center (IFC) by 2020. To achieve this goal, it is imperative to clearly define the key characteristics of an IFC. In this study I draw from recent research on the ranking of IFCs to develop an index of these key characteristics that can be used to assess a city’s standings as an IFC. Based on a review of prior research, I first put together a comprehensive list of the indicators that have been used to evaluate IFCs, which includes six first-level indicators and 34 second-level indicators. I then collect information on all these indicators from public sources for the following eight cities each year from 2011 to 2013: London, New York, Paris, Hong Kong, Tokyo, Singapore, Beijing and Shanghai. Next, I conduct a principal component analysis (PCA) on my data, and obtain four primary factors that contain most information of the original 34 indicators. The first factor covers 18 of the original indicators and reflects a city’s level of development in general business environment. The second factor covers 10 of the original indicators and reflects a city’s level of development in financial markets. The third factor covers three of the original indicators and reflects a city’s level of economic vitality. The fourth factor covers three of the original indicators and reflects a city’s level of the costs of living. I further calculate the composite scores for the above eight cities along these four factors, and find that these eight cities can be classified into three tiers on the basis of their scores. The first tier consists of New York and London; the second tier consists of Singapore, Hong Kong, Paris and Tokyo; and the third tier consists of Shanghai and Beijing. I also find that Shanghai has been making progress in its scores along these four factors over the last three years, especially regarding financial market development, economic vitality, and cost of living. What Shanghai needs to focus on next is to improve its business environment so that it can move up to the second tier in IFC status.

Contributors

Agent

Created

Date Created
2015

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Status and Exploration of Wealth Management Services of China’s Trust Industry

Description

With years of continuous Chinese economic growth and accelerating aging population, better serving the changing demands in wealth management has become the new market development directions. As evidenced in international experiences, the embedded nature of privacy and isolation of managed

With years of continuous Chinese economic growth and accelerating aging population, better serving the changing demands in wealth management has become the new market development directions. As evidenced in international experiences, the embedded nature of privacy and isolation of managed assets in the trust business have demonstrated built-in consistency with the needs of high-end wealth management and inheritance; hence, trust has become a very fitting vehicle for wealth management. By 2014, total assets under trust management have reached RMB14trillion.

However, there is as yet a massive gap between the current service levels received by high net worth individuals and their requirements; a gap that is adverse in establishing a stable customer service relationship; which eventually hinders the vigorous development of the overall industry.

With modeling the gaps in service levels as the basic foundation, this paper first and foremost starts with the discussion on the issues in listening to service needs. This paper conducted customer surveys in such categories as customer expected and perceived service quality, service level design and standards, service provided in accordance with the design, and service commitment actually fulfilled. By correlation and regression analyses, this paper analyzed the characteristics of high net worth population, concluding that high net worth individuals with different gender, profession, age exhibit varying needs, preferences and other determining factors in wealth management.

This Paper has designed wealth management service standards and value-added asset allocation systems; the Paper has structured a systematic and disciplined framework in wealth management, which serves as a guideline in the implementation of leading wealth management and in the establishment of superior trust management services. It serves as an impetus for the trust industry to thrive as the leader in China’s wealth management domain, enhance industry brand image, accumulate stable customer segments and develop sustainable market core competencies.

Contributors

Agent

Created

Date Created
2015

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The: behavior study on individual investors in China's bond market

Description

During the past decade, the Chinese bond market has been rapidly developing. The percentage of bond to total social funding is constantly increasing. The structure and behavior of investors are crucial to the construction of China’s bond market. Due to

During the past decade, the Chinese bond market has been rapidly developing. The percentage of bond to total social funding is constantly increasing. The structure and behavior of investors are crucial to the construction of China’s bond market. Due to specific credit risks, bond market regulation usually involves in rules to control investor adequancy. It is heatedly discussed among academia and regulators about whether individual investors are adequate to directly participate in bond trading. This paper focuses on the comparison between individual and institutional bond investors, especially their returns and risks. Based on the comparison, this paper provides constructive suggestions for China’s bond market development and the bond market investor structure.

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Agent

Created

Date Created
2016