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Information asymmetry, agency cost and stock liquidity : evidence from the split share structure reform in ChinaYUAN, Tao 14 August 2015 (has links)
The coexistence of tradable and non-tradable shares in Chinese firms has caused severe agency problems and has been the subject of much criticism. In 2005, the Chinese Securities Regulatory Commission launched a reform to eliminate the dual-class share structure and convert non-tradable shares into tradable shares. My thesis examines how the Split Share Structure Reform in China affects the level of information asymmetry of listed firms. The regression results show that the firm-level information asymmetry, measured by the probability of informed trading (PIN), is positively associated to the firm’s proportion of non-tradable shares before the reform, and the PIN decreases significantly after the reform. This is so because the reform reduces the agency costs of firms and increases stock market liquidity. I further document that the reform’s effects on PIN are more pronounced for the firms whose non-tradable shares are more likely to be traded after the reform, the firms that experience a significant enhancement in blockholders’ threat to exit and non-SOEs. The liquidity shock induced by the reform also increases the intensities of informed trading and uninformed trading in the market and the magnitudes of the influences are larger for the latter than the former. My thesis sheds light on the consequences of the reform of firm ownership structure in China and shows that reducing information asymmetry is a channel through which the reform helps improve firm performance. The results of my study provide policy implications for future reforms in developing financial markets.
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The impact of credit default swaps on corporate investment policyXUE, Xinshu 07 September 2015 (has links)
Credit Default Swaps (CDSs) play an important role in the financial markets. The introduction of CDSs has impacts on the bond market, and the financial characteristics and creditworthiness of the underlying reference entities. When financing is not frictionless, the investment policies of firms are related to their financial conditions. However, whether or how the introduction of CDS will directly affect the investment policy of the firm has not been examined empirically in the literature. To shed light on this issue, my study investigates the relation between credit default swaps trading and corporate investment policy for the listed firms in the United States using the data of CDS reference entities from 2002 to 2014. I find that the introduction of CDSs is negatively related to the investment decisions of reference entities. Furthermore, the relation is more significant when the reference entities have financial constraints and depend more on external credit supply. Overall, when a listed firm becomes a CDS reference entity, the probability of its underinvestment will increase. The study contributes not only to the growing literature on the relationship between CDS introduction and the reference firm, but also to the literature on corporate investment policy making.
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Will analysts learn from other analysts who possess superior private informationSHI, Hangyuan 19 August 2016 (has links)
Based on a valuable testing venue in China where listed companies are required to disclose corporate site visit records of financial analyst to the public, this study examines whether analysts will learn from visiting analysts' forecasts that contain superior private information. I find that visiting forecasts tend to attract more analysts to issue forecasts in their aftermath than the prior forecasts issued by the same analysts but without conducting corporate site visit (non-visiting forecasts). The following effect is weaker when the visiting forecasts are more informative. In addition, other analysts’ forecasts following the visiting forecasts tend to move closer to the visiting forecasts than the forecasts following the non-visiting forecasts, with the effects being stronger for more informative visiting forecasts. Furthermore, followers experience a greater improvement in their forecast accuracy than the non-followers. This effect is also stronger when the visiting forecasts are more informative. Last but not the least, I find a decline in analyst forecast dispersion, an increase in common information, and an improvement in forecast accuracy in the period subsequent to the issuance of visiting analysts’ forecasts but no such effect for non-visiting forecasts. Collectively, the results suggest that analysts have incentive to learn from the forecasts that contain superior information and such learning activities tend to improve the information environment of the visiting firms.
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Geographic distance and the impact of investor sentiment on stock pricesYANG, Yan 22 September 2017 (has links)
Based on China’s stock market, this study investigates how firms’ geographic distance from a financial center affects the sensitivity of stock prices to investor sentiment. I find that firms located closer to a financial center are more affected by investor sentiment than firms located far from a financial center. This distance effect holds for different geographic cutting boundaries and after excluding firms located in financial centers. Besides, using China’s High Speed Railway (HSR) as an exogenous shock, I find that HSR connection significantly decreases the effect of geographic distance on the sentiment-driven stock price relationship. In addition, firms with shorter travel times to financial centers are more affected by investor sentiment than firms with longer travel times. Moreover, firms located in provinces with a high stock market participation rate are more affected by investor sentiment than other firms. And Analysts increase the frequency of favorable recommendations for firms that are located closer to financial centers when investor sentiment is high. Furthermore, firms located closer to a financial center do not have higher institutional ownership than other firms. Last but not least, firms located in more economically developed provinces are not more affected by investor sentiment than firms located in less developed provinces. Overall, my findings highlight the importance of geographic distance in explaining the effects of investor sentiment on stock prices.
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Informed institutional shareholding : evidence from political promotionZHANG, Chi 26 September 2017 (has links)
Are institutional investors informed to the political promotion events? This paper examines the informed trading of institutional investors in the context of political promotion. Institutional investors have superior information environment compared to retail investors. It can establish private information channel with firm management, financial analysts, regulatory bodies and other types of institutions. Since contemporary economic activities are more or less influenced by politics, promotion of important officials can bring favorable local economic development opportunities to companies. If institutional investors are informed to the political promotion events, they are supposed to react in advance of the occurrence of promotion events. We test this proposition in the setting of China where political power is believed to be strong. In our research, we treat the promotion of Chinese provincial politicians as a private signal to institutional investors to examine their trading pattern. Through a difference-in-difference approach, we find that institutional investors accelerate their purchase of shares of the firms exposed to the promotion events before the promotion activities actually happens and increase their shareholding in listed firms after the promotion events. The institutional investors earn a higher cumulative stock return by adjusting their portfolio to the promotion events. We also find this difference in institutional shareholding primarily occurs to firms with low state-own share percentage.
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信託事業之研究MAO, Shaohuai 04 July 1946 (has links)
No description available.
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Challenges of financial management in Mopani District Schools, Limpopo ProvinceNgobeni, Sonia Nokuthula January 2015 (has links)
Thesis (MPA.) -- University of Limpopo, 2015 / When the ANC-led government took power in 1994, it made commitment to redress the
imbalances of the past by providing capacity building of SGBs on financial management
skills. The government enacted the South African School Act (SASA) no. 84 of 1996 as
one of the policies aimed at improving the quality of education. The SASA, Section 19
directs the Head of Department(HOD) to provide introductory training to the SGBs to
enable them to perform their financial functions. Despite some strides made by the
democratic government on capacity building of SGBs, the findings of these study
revealed that schools’ financial management remains a very serious challenge to some
schools.
The aim of this study was to examine the financial management challenges of the
Mopani District Schools in the Limpopo Province. The SASA mandates SGBs to
account on the management of public funds in schools. Qualitative and quantitative
methods were used in this research study. The literature review reveals that SGB
members are ill-equipped for their financial roles because they are inadequately trained.
The literature review also shows that the SGBs can make informed decisions if they are
adequately trained and conversant with the language used in finance policies and
finance documents. The study found that; some SGB members have not been
subjected to training in financial management. Some only have primary school
education and the language used in the financial documents and financial transactions
makes it difficult for them to perform their financial responsibilities. Some budgets are
only developed for compliance with departmental directive but not realistic because of
the lack of SGB capacity. Budget implementation is a challenge hence schools incur
expenditure not budgeted for. Some schools do not have internal control.
The recommendations briefly outline the findings of this study that and change the
status quo if implemented.
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Predicting corporate turnaround of listed companies in South AfricaChin, Chu-Kuo January 2016 (has links)
Corporate turnaround, in comparison to financial distress, is not substantially researched either internationally or locally in South Africa. This study attempts to explore this area of research by developing models that identify financially distressed companies with a potential for turnaround. This analysis examines listed companies on both the JSE Securities Exchange ('JSE') and Alternative Exchange ('AltX') for the period 2007 to 2014 by using available data from iNet BFA. The financial distress model, Taffler's Z-score, is used to identify companies that fall within the sample. Multiple linear discriminant models with interaction variables are used as part of the process to derive the turnaround models. The first model shows that efficiency is a key driver for a successful turnaround. The second model reveals that JSE-listed companies are more likely to survive than AltX companies. This study contributes to the existing research by identifying significant factors for corporate turnaround and summarizing its findings in a practical manner.
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Market Betas on the JSE: Factor selection, estimation and empirical evaluationLaird-Smith, James January 2017 (has links)
This paper examines the nature and significance of market betas on the Johannesburg Stock Exchange (JSE). The identity of market betas is determined by means of Principal Component Analysis (PCA) performed on the returns of the FTSE/JSE Africa Index Series. A scree test shows two factors necessary for inclusion in the appropriate Arbitrage Pricing Theory (APT) model. Based on the promax rotated factor loadings, it is argued that the Financials (J580) and Basic Materials (J510) indices ought be used as the appropriate observable index proxies for the first and second factors respectively. Regarding the estimation of beta, this paper makes the case for the use of Reduced Major Axis (RMA) regression over the traditional Ordinary Least Squares (OLS) approach. A number of characteristics are assessed when arriving at this conclusion. Importantly, it is shown that the traditional OLS regression method chronically underestimates the magnitude of the beta parameter whereas RMA regression does not. In addition, it is shown that, while OLS beta values are more stable in absolute terms than RMA beta values, the RMA values are more stable when adjusted for their magnitude. This paper does not make use of a thin trading filter to narrow the sample of stocks for empirical evaluation. Instead, an examination is made of the significance of beta values at the point at which they are estimated. This is accomplished by means of a rolling window of regressions. It is shown that, while most stocks do exhibit betas which are consistently significant over their listing period, many stocks do not. Some stock returns result in almost no significant beta values while some others exhibit beta values which are significant for only a portion of their listing period. It is shown that a median beta p-value value of 5% is an appropriate 'significance filter' for limiting the sample of stocks to only those significant for the majority of their listing period. Using only these stocks, an empirical evaluation of beta is conducted using portfolios sorted on both OLS and RMA beta values. It is found that neither beta measure explains the cross-section of returns in the case of resource stocks. However, in the case of non-resource stocks the results show a clear divergence between the methods. In the case of OLS sorted portfolios, the results show a negative relationship between beta and returns. This surprising and counterintuitive result has also been arrived at by other researchers and is the opposite of what the APT would predict. However, in the case of RMA sorted portfolios, this pattern reverses itself, showing a positive relationship between beta and returns. For some holding periods, this is shown to be significant, providing evidence in support of the APT. As a result it is demonstrated that OLS regression not only underestimates the magnitude of beta, but that it distorts the results of empirical tests. On this basis it is argued that RMA regression ought replace OLS regression as the preferred method of beta estimation for the JSE.
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The role of venture capital financing to SME development in NamibiaNakale, Mansueta-Maria N January 2007 (has links)
Includes bibliographical references (leaves 116-125). / This research was conducted to establish whether venture capital could reliably serve as a source of finance for SMEs given that there is a problem of access to finance in Namibia. This is important because SMEs in Namibia are generally in dire need of finance. Evidence therefore shows that venture capital as a source of finance serves as an ideal type of instrument for the development of SMEs internationally. The study assessed the importance of venture capital financing in the context of the SMEs in Namibia, specifically focusing on addressing the problem of lack of much needed capital and skills to the SME sector. The second objective was to assess whether venture capital financing can be effectively utilised to enhance managerial skills within SMEs in Namibia.
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