出版时间:2011-6 出版社:中国农业大学出版社 作者:孟繁锡,黄冠华,许廷武 等主编 页数:157
内容概要
本书出版物为国际学院学生基于科研实践的论文合集,这些科研实践是根据学校的本科生科研实践按计划开展的,本次出版的论文集中的科研成果主要集中在以下几个领域的调研,学生、任课教师和管理人员的有效沟通模式研究,中外合作办学项目可持续发展的关键成功因素的分析,高年级英语学习策略的调研,网络学习的相关研究,汽车行业的金融与营销创新研究,中国电子商务的影响因素分析等。
书籍目录
Preface
Research on the Low-carbon Style for ICB Building
Low Carbon Project of Olympic Wrestling Arena
Temporary Circumstances of Global Environmental Protection and a
Settlement Approach
Research on Relative Significance in Forecasting the Stock Prices
in Chinese Commercial Banks between Nationalized and Local
Commercial Banks
Study on Possible Methods to Reduce Investment Risk in Stock Market
of Bank Industry
The Study on Smoothing Constant Selection in Forecasting the Stock
Price in Chinese Automobile Industry Case study of Dongfeng Motor
Corporation
The Optimal Value of Smoothing Constant for Chinese Pickup Market-a
Case Study of Beijing Futian
Key Success Factors of the Sustainability of UCD Program from
Social Perspective
A Study on How P/E Ratio is Predictable by Testing Two Automobile
Corporations in China Using the Method of Time Series
Study on the Level of Correlation of P/E and Stock Price between
CMB Completely Owned by Domestic Investment and SPD Bank Partially
Owned by Foreign Capital
Research on the Different Smoothing Constants in Forecasting the
Stock Prices of Listed Motor Coach Enterprises in China- Yutong Bus
CO. , LTD
Study on the Relation between P/E Ratio and Share Price for Listed
Automobile Corporations in China
Exploring The Optimal Substitution Method to Maximize the Pearson's
Correlation Coefficient of PE and Stock Prices Data of
China's ICBC
Chinese Language and Culture Business and Market in Asian
Countries
An Investigation of Domestic Status Quo of Chinese Language
Education for Overseas Learners
Report on An Investigation of Chinese Education Business in Western
Countries
The Investigation of the Market of Chinese Education and Culture in
America ...:
Electric Vehicle's Market Assessment and Analysis
Research on the Customer Satisfaction Degree in Automobile
Marketing:The Most Important Factors in the Process of Customers'
Decisions Making
Research on the Customer Satisfaction Degree in Automobile
Marketing The Analysis and Comparison for Motor Finance
Services
The Competitive Advantage of E-business-The Analysis of Vancl in
China
Consumers' Perceived Risk in the Context of B2C E-business
Postscript
章节摘录
In this research paper, all thoughts about how to forecast share price came from the relation that P/Eequals share price divided by eaming per share. Because the information about eanung per share is usually published in corporations' official reports before the coming season, the predicted share price can be acquired by P/E multiplying prospective eaming. If P/E and price have high correlation, a model could be constructed to predict the P/E for next seasons. Therefore, this paper will mainly focus on how to find out the relation and what kind of policy in China may cause this special relation between P/E and price in China's listed automobile industry. In 1929, Benjamin Graham, who was dubbed the" Father of Value Investing" as well as Warren Buffett's mentor, proposed the P/E ratio. In 2000, Peter Lynch proposed a concept about PEG, which is the further utilization of PE ratios. The P/E ratio is widely used in current society. Modern writers are just as interested in price/eamings ratios as were their predecessors. But the very fact that it has been used so much by so many people whose financial know ledge and experience varied greatly has contributed to making its functions somewhat blurred and uncertain in many minds. Ptice/eamings ratio is generally computed by dividing market price per share of common stock by reported net in-come per share, during a stipulated time period. This time period may be as short as one accounting quacter or as long as 10 years. In this paper, three months is considered as a period of time. According to the formulation, P/E ratio and share price had a brief relation. Thus, if the constructed model was appropriate, the prospective price in the coming period would be predictable. ……
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