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ad the academic journal articles. If you read the introduction, you will have an idea on how to write the introduction. Don’t you worry; we will assist you in developing those skills over the remaining weeks during the CALF exercise.

Methodology (30%)
Quantitative/Mathematical Skill
What is the technique used to test the theories?
This is where you will use mathematical and statistical tools to prove your point (theory). You are not required to empirically test your model and a theoretical discussion of how you will solve the gap identified in the literature is sufficient for this course. If you establish that literature has answered the question, then you can just discuss the methodology used in the earlier studies.  If the literature does not answer the question, then you will need to develop a methodology to solve the problem. Based on your new model, you will be forming some hypotheses and you will have to state what you expect the outcome to be.

Conclusion (20%)
The answer to the question is the conclusion. If you have identified a gap in the literature and have developed a model to test for this theory, your answer will be the hypotheses that you have come up with. If on the other hand, the literature has already answered the question, you will write the findings of the study as your conclusion.

TASK TWO
Critical and Analytical Learning in Finance One (CALF ONE)

Explain how the noise trader model can be applied in China.

Note that this essay was written by a student and I will use this as an example to demonstrate what is expected in an essay for this course.

Literature Review Section

Black(1986) introduced us to the concept of an irrational style of trading he described as “noise trading”. He questioned the efficient market hypothesis (EMH) developed by Fama (1965) which asserts that financial markets are "informationally efficient" and that the price of traded assets reflects it true intrinsic value and all available information. Black (1986) did not oppose the idea if information traders, rather he made the classical distinction between information traders and noise traders, the latter being those who trade based on uncertainty and future expectations as opposed to trading on the basis of factual information.  Although Black’s article was the catalyst for this school of thought, there have been numerous academics who acknowledge the existence of irrational traders and have attempted to empirically prove the existence and the effects of such traders on various markets including, Truman (1988) De Long, Shleifer, Summers and Waldman (DSSW) (1990), Shefrin and Statman (1994), Ramiah and Davidson (2007)  and of recent Podolski – Boczar, Kalev and Duong (2009). In 2006 Scruggs stated that “Noise trading now occupies an important place in the theory of finance and has been a cornerstone of market microstructure theory since Kyle (1985) Noise trading has been suggested as an explanation for asset pricing “anomalies” such as the “excess volatility puzzle” first documented by Shiller (1981) and LeRoy and Porter (1981). Recently Han (2009) has shown that information traders commove with the irrational effects in the markets caused by noise traders to allow them to reveal less information in the short term. This allows them to make profits in the long term. In this paper we attempt to use the information adjusted noise model (forthwith IANM) develope本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。