Matching Items (25)
ContributorsBach, Johann Sebastian, 1685-1750 (Composer)
ContributorsBach, Johann Sebastian, 1685-1750 (Composer)
ContributorsBach, Johann Sebastian, 1685-1750 (Abridger)
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
III-nitride InGaN light-emitting diodes (LEDs) enable wide range of applications in solid-state lighting, full-color displays, and high-speed visible-light communication. Conventional InGaN quantum well LEDs grown on polar c-plane substrate suffer from quantum confined Stark effect due to the large internal polarization-related fields, leading to a reduced radiative recombination rate and device efficiency, which limits the performance of InGaN LEDs in high-speed communication applications. To circumvent these negative effects, non-trivial-cavity designs such as flip-chip LEDs, metallic grating coated LEDs are proposed. This oral defense will show the works on the high-modulation-speed LEDs from basic ideas to applications. Fundamental principles such as rate equations for LEDs/laser diodes (LDs), plasmonic effects, Purcell effects will be briefly introduced. For applications, the modal properties of flip-chip LEDs are solved by implementing finite difference method in order to study the modulation response. The emission properties of highly polarized InGaN LEDs coated by metallic gratings are also investigated by finite difference time domain method.
ContributorsChen, Hong (Author) / Zhao, Yuji (Thesis advisor) / Yao, Yu (Committee member) / Wang, Liping (Committee member) / Arizona State University (Publisher)
Created2016
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 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.
ContributorsWang, Weiren, Ph.D (Author) / Yao, David (Thesis advisor) / Gu, Bin (Thesis advisor) / Chen, Hong (Committee member) / Arizona State University (Publisher)
Created2015
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 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.
ContributorsZhou, Ye (Author) / Chen, Hong (Thesis advisor) / Gu, Bin (Thesis advisor) / Chao, Xiuli (Committee member) / Arizona State University (Publisher)
Created2015
Description
This thesis starts with an analysis of the current situation of the pharmaceutical industry in China, and discusses the strategic mergers and acquisitions (M&A) by small and medium-sized enterprises (SMEs) in the pharmaceutical industry in China. It elaborates on the rationale for the development of the mergers and acquisitions of the pharmaceutical SMEs. Then a literature review is provided on the causes of corporate mergers and acquisitions such as the economies of scale, synergistic effect, transaction costs, market power, and strategic diversification.Next,the thesis analyzes the underlying rationale for the M&A transactions in the pharmaceutical industry in China, and explores the likely path of successful value creation for pharmaceutical SMEs in China. Specifically, with five in-depth case studies of M&A transactions of pharmaceutical firms, this thesis reveals the critical success factors leading to value creation and growth in the practice of mergers and acquisitions of the pharmaceutical SMEs in China.
ContributorsZhou, Yan (Author) / Pei, Ker-Wei (Thesis advisor) / Chen, Hong (Committee member) / Shen, Wei (Committee member) / Arizona State University (Publisher)
Created2015
Description
Financing lease has bloomed as a new financing tool in China for the last several years. In this thesis I investigate the factors that influence China’s automobile financial leasing decisions by both lessors and lessees through market surveys. Based on Probit regression analysis of the data collected from 250 companies and 300 individuals, I find that a firm is more likely to use automobile financial leasing when its corporate tax rate is lower, growth potential is more stabilized, and profit is higher. It is also more likely to happen when a firm's long-term debt ratio and its degree of internationalization are higher. At the individual level, I find that the likelihood of individuals’ leasing decision is influenced by their risk preference, income level, and car price. Individuals’ gender, age and education level show no effect.
Using the analytic hierarchy process (AHP) analysis, I further find that financing costs, service value-added, and products diversity are the three most important competitive factors for the auto financial leasing service providers. This is the case for both the corporate and individual customers in the sample. By contrast, the factors of sales channel and government relationship are found to be much less important. Finally, through an in-depth case study of the leasing company Shanghai Auto Financial Leasing, I find that the key factors determining the customers’ credit default risk are interest rate and automobile type. I also investigate factors that influence business risk during the automobile procurement stage, at the selling stage, and toward the disposition stage. The managerial implications of the above results are discussed throughout the thesis.
Using the analytic hierarchy process (AHP) analysis, I further find that financing costs, service value-added, and products diversity are the three most important competitive factors for the auto financial leasing service providers. This is the case for both the corporate and individual customers in the sample. By contrast, the factors of sales channel and government relationship are found to be much less important. Finally, through an in-depth case study of the leasing company Shanghai Auto Financial Leasing, I find that the key factors determining the customers’ credit default risk are interest rate and automobile type. I also investigate factors that influence business risk during the automobile procurement stage, at the selling stage, and toward the disposition stage. The managerial implications of the above results are discussed throughout the thesis.
ContributorsLin, Zhen, Ph.D (Author) / Zhang, Anming (Thesis advisor) / Pei, Ker-Wei (Thesis advisor) / Chen, Hong (Committee member) / Arizona State University (Publisher)
Created2015
Description
This study investigates three issues that are relevant for the development of multinational investment banks in China. The first is about the domestic market conditions that are necessary for a country to develop multinational investment banks. The second issue is about the degree to which China has met these conditions. The last issue focuses on the potential strategies Chinese investment banks can undertake to become multinational corporations.
To address the first issue, I draw an important distinction between international investment banks and multinational investment banks. For an international investment bank to be regarded as a multinational, I propose that it must have a strong presence (i.e., holding at least one percent of the market share) in at least two of the seven major capital markets in the world. Using this criterion, I identify 25 multinational investment banks. I then analyze their home countries’ domestic market conditions and propose that the following six factors are important to the development of multinational investment banks: the size of the home country’s gross domestic product (GDP), the total capitalization of its domestic security market, the number of its Global 500 firms, the volume of its foreign direct investment (FDI), the internationalization of its currency, and the openness of its capital market to foreign investors.
By comparisons, I find that China’s domestic market conditions are comparable to the home countries of multinational investment banks with respect to the size of GDP, total market capitalization, the number of Global 500 firms, and the volume of FDI. What China lags behind are the internationalization of currency and the openness of capital market to foreign investors. Given the current trends of development, it is very likely that China will be able to catch up on the latter within ten years, thus meeting all the conditions necessary for the development of multinational investment banks.
Based on the above findings, I suggest that Chinese investment banks seize this historical opportunity, speed up the internationalization of their businesses, and learn from the experiences of global industry leaders to become truly multinational corporations.
To address the first issue, I draw an important distinction between international investment banks and multinational investment banks. For an international investment bank to be regarded as a multinational, I propose that it must have a strong presence (i.e., holding at least one percent of the market share) in at least two of the seven major capital markets in the world. Using this criterion, I identify 25 multinational investment banks. I then analyze their home countries’ domestic market conditions and propose that the following six factors are important to the development of multinational investment banks: the size of the home country’s gross domestic product (GDP), the total capitalization of its domestic security market, the number of its Global 500 firms, the volume of its foreign direct investment (FDI), the internationalization of its currency, and the openness of its capital market to foreign investors.
By comparisons, I find that China’s domestic market conditions are comparable to the home countries of multinational investment banks with respect to the size of GDP, total market capitalization, the number of Global 500 firms, and the volume of FDI. What China lags behind are the internationalization of currency and the openness of capital market to foreign investors. Given the current trends of development, it is very likely that China will be able to catch up on the latter within ten years, thus meeting all the conditions necessary for the development of multinational investment banks.
Based on the above findings, I suggest that Chinese investment banks seize this historical opportunity, speed up the internationalization of their businesses, and learn from the experiences of global industry leaders to become truly multinational corporations.
ContributorsLiu, Xin (Author) / Chang, Chun (Thesis advisor) / Shen, Wei (Thesis advisor) / Chen, Hong (Committee member) / Arizona State University (Publisher)
Created2015