Technical Analysis in the Implication of Efficient Market Hypothesis on Silver Market
The thesis is for the study of simple commonly used technical trading rules, which are applied on silver market. It covers years 1989 to 2005. A famous study carried out by Lakonishok, LebaRon and in year, 1992 has clearly shown that technical analysis can lead to abnormal prices when compared with buy-and-hold strategy. Other studies have been carried out and found out that technical trading rules cannot over-rule passive investment management strategy. The study uses Brock et al.'s methodology. Several trading rules are discussed (Dawson & Steeley 2003).
LITERATURE RIVIEW
In financial theory, efficiency of financial silver market is highly disputed. This has led to many attempts to explain efficiency of silver markets. Eugene.F. Fama formulated the most famous definition in 1970 referred to as the, Efficient Silver market Hypothesis (EHM). The basis of the hypothesis is that a security price always reflects all the information available. Many studies have been undertaken to explore silver market. This has led to two camps; those who believe in silver market efficiency and those who do not believe in it. Those who believe in efficiency argue that silver market has all the information available while those who believe in inefficacy argue that security prices lack important information.
Problem Specification
Although technical analysis is used; it does not have much support within academic circles. The preferred theory is that of silver market efficiency. The purpose of this paper is to contribute to the contradicting ideas between advocates of inefficient silver markets and efficient silver market in silver market. The basic question is whether it is possible to earn a significant better return from buy -- and -- hold strategy using simple technical trading rules when applied on growth and value stock respectively (Dawson & Steeley 2003).
Limitations
To analyze technical trading rules, moving average rules will be considered. This is because it is these rules can be used mechanically and can be tested easily since they produce clear signals. Stock classification into value or growth portfolio is based on book-to-silver market (B/M) ratio and the earnings -- to price (E/P). These are the commonly used measures when classifying stocks. The test period will be limited to a span of 19 years. That is from 1986 to 2004. This period is of interest because 1992 study by BLL shows that use of technical analysis approach earns a higher return as compared to simple buy- and- hold strategy based on DJIA testing from 1897 to 1986.
Theoretical Background
Technical Analysis
Definition
Technical analysis is defined as the study of silver market action using charts to forecast various silver market actions like, volume, price and interest. Technical analysis is based on various premises. These are; price moves in trends, silver market action discounts everything and history repeats itself (Dawson & Steeley 2003). Chartists and technicians believe that everything that has effect on silver market price of a good is contained in the price. There is need therefore to study silver market price by all technicians. On the other hand, chartists are not concerned with price change factors but they react to them. Therefore, chartists want to know whether the price of stock is rising or falling but they have no concern with the actual price. The purpose why chartists have to be analyzed is to identify trends to trade in accordance with the trend. Technical analysts believe that a trend in motion is likely to continue than reverse based on the Newton's first law of motion (Dawson & Steeley 2003). Trends differ in many ways and chartists have divided them into time units. This is what is called the Dow Theory, which is discussed below. This theory states that there are three levels of silver market trends: tertiary, secondary and primary. In other words, there are intermediate trends, secondary trends and long-term trends.
2.1 The Silver market Cycle Model
It indicates that the key to predicting the future is based on past understanding. Therefore, human psychology has an important part to play in technical analysis.
Technical Trading Rules
Principles behind technical analysis are similar. It does not matter whether you focus on long-term or short-term investments, follow a speculative or conservative strategy, the basic principles remain the same. Psychology and mass psychology determine prices and psychology is significant in long -- term charts and short-term charts. In addition, technical analysis principle is the same in spite of investment opportunities and geographical location.
Human actions form silver market and people make same mistakes. Technical analysts exploit the fact that, human...
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