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金融专业毕业论文提纲一

摘要 6-9

ABSTRACT 9-12

目录 13-18

第1章 绪论 18-40

研究背景和意义 18-24

研究背景 18-23

研究意义 23-24

国内外文献综述 24-35

国外文献综述 24-31

国内文献综述 31-35

研究内容与方法 35-38

研究内容与基本框架 35-38

研究方法 38

主要创新点 38-40

第2章 资源型区域经济发展方式转变与金融功能的理论基础 40-56

研究对象界定 40-46

资源 40-41

资源型区域 41-46

经济发展方式转变的内涵 46-49

经济发展目标的多元化 46-47

经济发展动力的转变 47-48

经济结构优化 48-49

金融功能理论 49-55

金融发展理论的.演进 49-51

金融功能理论框架 51-54

本研究在金融功能理论体系中的定位 54-55

小结 55-56

第3章 资源型区域金融功能分析 56-86

资源型区域金融功能演进及其与发达地区的比较 56-77

金融基础功能 56-61

金融核心功能 61-68

金融扩展功能 68-72

金融衍生功能 72-76

资源型区域金融功能体系总结 76-77

资源型区域金融功能演进的动力机制 77-82

内生机制 77-79

协调机制 79-80

效率机制 80-82

资源型区域金融功能的演进方向 82-84

横向功能演进 82-83

纵向功能演进 83-84

小结 84-86

第4章 金融的经济发展方式转变功能及其作用机制 86-111

经济增长机制 86-87

结构优化机制 87-98

所有制结构优化机制 87-88

产业结构优化机制 88-90

分配结构优化机制 90-91

城乡结构优化机制 91-93

区域结构优化机制 93-98

发展动力传导机制 98-105

金融功能的消费效应 99-101

金融功能的资本化效应 101-103

金融功能的科技创新效应 103-105

效率实现机制 105-110

时间成本控制 106-107

资源配置效率 107-110

小结 110-111

第5章 资源型区域金融功能与经济发展方式转变的实证分析 111-139

资源型区域经济发展方式转变的评价 111-126

评价原则与方法 111-113

指标体系设计及权重分配 113-117

数据分析及结果 117-121

资源型区域经济发展方式转变评价 121-126

资源型区域金融功能指标体系的设计 126-131

金融指标选取的相关研究综述 126-128

金融功能指标体系设计 128-131

实证分析过程 131-137

控制变量设定 131-133

模型的建立 133

平稳性检验 133-134

协整检验 134-135

回归分析 135-137

实证分析结果的启示 137-138

小结 138-139

第6章 资源型区域经济发展方式转变的金融体系安排 139-155

以银行业金融机构为突破消除金融锁定 139-143

定向融资策略 139-141

产融结合策略 141-142

非公开融资策略 142-143

传统业务倾斜策略 143

拓宽直接融资渠道消除金融抑制 143-149

充分利用股票市场 144-146

大力推动债券市场融资 146-147

创新公共基础设施建设融资模式 147-148

规范非正规金融体系 148-149

充分发挥金融的避险及其衍生功能 149-152

积极培育保险市场 150-151

充分利用金融衍生工具市场 151-152

设立经济发展方式转变基金 152-153

提高金融机构综合竞争力 153-154

小结 154-155

第7章 金融的经济发展方式转变功能实现的外部条件 155-182

金融的外部协调 155-164

金融发展与经济发展协调 155-160

金融发展与社会发展协调 160-162

金融发展与企业发展协调 162-164

推进市场化进程 164-174

金融市场化 164-170

资源价格市场化 170-174

承接产业转移减轻金融体系压力 174-181

产业转移的动因分析 175-177

产业转移的效应分析 177-179

促进产业转移的对策 179-181

小结 181-182

结论与展望 182-185

1、结论 182-183

2、展望 183-185

参考文献 185-193

致谢 193-194

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The development of modern financeFirst, the financial problem of the uncertainty(A) the uncertainty of the field in the application of asset pricing1. Portfolio Theory and Capital Asset Pricing ModelIn the framework of the financial analysis, introduction of the concept of uncertainty is a major role. First Kenes (1936) and Hicks (1939) proposed the concept of risk compensation that the financial products in the presence of uncertainty, should interest rates in different financial products in compensation for additional risks. Subsequently, Von Neumann (1947) applied the concept of expected utility of the proposed settlement in the decision-making under uncertainty in the method chosen, on this basis Markowiz (1952) developed a portfolio theory, he thought when investors choose portfolio concerned only with future cash flow of the mean and variance. He assumed that the expected utility of investors consistent with secondary distribution or multinomial distribution. Markowiz The main conclusions are subject to uncertainty, optimal decision-making is a diversified investment holding. Tobin (1958) that investor liquidity preferences for their own benefits and risks of different options for the balance. This further improved the framework of portfolio choice the field of asset pricing model is another well-known theory of capital pricing model (CAPM), Sharp (1994) and Lintner (1995) using the formula succinctly expressed the portfolio value and risk-free interest rate and the level of risk assets, the relationship between . Black (1972) introduced even in the non-risk assets zones remained the case, Sharp and the CAPM formula is still valid, just without the risk of interest rates are including the entire market on all assets of the portfolio rate of return instead of the 预期. Contemporary with the CAPM model of the asset pricing model also Ross (1977) arbitrage pricing model (APT) and Lucas (1978) the typical agent asset pricing by CAPM asset pricing model for asset pricing provides a simple method of calculation, and obtain some support from empirical studies (Fama and Macbeth, 1973), but in reality some of the anomalies is still a lack of effective explanatory power, Brennan (1989) that the CAPM is based on the expectations of all investors in the investment and risk are common in estimates and judgments, and all investors the same utility function based on the assumption that this assumption is inconsistent with the reality This is leading to some practical problems CAPM on the root causes of the lack of explanatory power. It is beyond doubt on these assumptions, to promote the introduction of the concept of asymmetric information and . Market efficiency hypothesisMarket efficiency hypothesis that in a perfectly competitive market, there is no asymmetric information and market frictions affect the future earnings of the average investment risk is different. 60s in the 20th century a large number of research workers on the market efficiency hypothesis was tested, Fama (1973) through empirical tests on the . stock market, that the efficient market hypothesis holds, but many researchers found that in the market, There are many market efficiency hypothesis or CAPM model can not explain the abnormal phenomenon. For example, Basu (1977) found that the average earnings assets, in addition to the β coefficient of the CAPM, but also with the price earnings ratio of assets (P / E ratio) is related to the same β coefficient, the higher the price earnings ratio stocks (growth stocks) better than the market price of the low price earnings ratio of stocks (value stocks); Benz (1981) found that the market price of the stock with the size of the listed company; Stattman (1980) found that stock prices and the ratio of book value (P / B ratio) is also an important factor affecting stock prices. Fama and French (1993) On the basis of the above three-factor model proposed that the impact of asset prices in the β factors, joined the P / E ratio and P / B ratio interpretation of these anomalies, the efficient market hypothesis seems powerless, someone had tried the "January effect" to the end of Shuishou interpreted as the impact of outflow, but in the United Kingdom, Australia, the annual revenue of the country is not in December, there are still "in January effect "can not be explained. Some scholars from a psychological perspective to explain these anomalies, such as, Dreman (1982) the stock price P / E ratio effect interpreted as the investor always overestimate growth stocks with high growth, leading to market high P / E ratio of stock market was overvalued, that it is a reason for low stock . Continuous time modelIn asset pricing theory is another important assumption: stock market is always in a continuous process, under this assumption, Merton (1969,1971) to develop instantaneous CAPM Capital Asset Pricing Model (ICAPM), the same information symmetry, frictionless market, asset price changes in line with Ito process under these conditions, asset prices and investor preference for independent effectiveness. In subsequent studies Merton (1973) and Black (1973) The application of these continuous-time model has been successful in the option pricing formula, the formula was later confirmed that a large number of empirical studies and has been widely applied in practice.(B) the uncertainty of financial management in the company ofFinancial analysis is another important area of financial management, major research firms in the investment decision-making in the proportion of the debt and equity options, the company's dividend policy and other issues. Results of the first studies in this area by the Modigliani and Miller (1958) made their study shows that full market (no market frictions and asymmetric information exists) the value of the company has nothing to do with the company's debt ratio (MM theorem). A similar study concludes that the value of the company's profit distribution policy has nothing to do. Obviously, these research findings and practical in reality. MM theorem based on the conclusions in the distribution of profits, due to the cash outflow will be sent found Jinhong Li, the Company repurchased shares will be more willing to choose policies, rather than the dividend policy, in reality, many companies prefer to dividends rather than Share buy-back, this phenomenon is Black (1976) referred to as "Company dividend puzzle (Dividend Puzzle)", which Miller (1977) can give the explanation, MM theorem conclusion is that the reason and the reality of different tax and the so-called bankruptcy costs on the financial structure is the result of certain liabilities of the company can achieve the role of tax relief, another company because of the existence of high debt ratio risk of bankruptcy, so the debt ratio to the value of existing shares affected, Miller and Other scholars make on these financial problems are not very satisfactory interpretation of the whole until later after the introduction of asymmetric information, it seems Caidui explain these issues to achieve a mentioned above, some of the phenomena of reality is difficult to simply use the uncertainty (risk) to get a satisfactory explanation, it is in the research of these issues raises the question of asymmetric information on financial concerns, plus last 60 years in the 20th century to game theory, represented a breakthrough in the information economy research methods, leading many scholars to the financial problems of asymmetric information in the study achieved a lot, especially the use of asymmetric information can explain a lot of perfectly the financial structure issues. Following is an overview of this still results in two parts, first in the results of financial decision-making, followed by the asset pricing results.(A) asymmetric information in corporate financial management application