Font Size: a A A

O'Neil “CAN SlIM” Stock Pitching Criterion

Posted on:2016-03-26Degree:MasterType:Thesis
Country:ChinaCandidate:H ChenFull Text:PDF
GTID:2349330503994886Subject:Business management
Abstract/Summary:PDF Full Text Request
There are two common ways to the analyze stock market: one is fundamental analysis and the other one is technical anylisys. Most of the persons separate them apart and analyse them singly. But we consider it as a combined view rather than tear them apart. During the securities analysis we need either consider these two aspects as a whole thing. Fundamental analysis is basically focused on the profitability of a company, and its products, management, valuation such like these, it's the base of the construct. The technical analysis is focused on the reaction of the market and make decision when is the pivot point to buy a certain stock.Mr. William J.O'Neil is such a person who focused on the both sides of a coin to determine the true value of a stock. In 1988, Mr. O'Neil has summarized his investment concept and wrote it into a book called “How to make money in stocks”. In this book, he raised a famous stock pitching method known as “CAN SLIM” afterwards, in which includes 7 quantitative indicators to value a growth stock.So far, as Mr. O'Neil himself, the “CAN SLIM” is grown up locally in the matured USA capital market which is under a restrict regulated by the law and the sufficient information disclosures. Therefore we are very curious if the stock pitching method is even valid in Chinese local market. The Chinese local stock market is even not a weak efficient market, so there is a certain doubt if the “CAN SLIM” can beat the market and gain the stable excess return which means gain the excess ? beyond the CSI300 index. Even more, to find out if there is any other optimized factors which can raise the performance of the stock pitching model, in order to achieve much higher return, lower volatility and more independence from the Index of CSI300.
Keywords/Search Tags:William J.O'Neil, Programming trading model, excess return
PDF Full Text Request
Related items