OUR ACADEMIC DEPARTEMENTS |
Lesson details
TECHNICAL ANALYSIS | |||
2018-2019 | EnIESEG School of Management
(
IÉSEG
)
| ||
Class code : | 1819-IÉSEG-M1S1-FIN-MA-EI71UE | FINANCE |
Level | Year | Period | Language of instruction |
---|---|---|---|
Master | 1 | S1 | EnEnglish |
Academic responsibility | M.PETITJEAN |
---|---|
Lecturer(s) | M.PETITJEAN |
- This class exists in these courses :
- IÉSEG > IESEG Degree - Programme Grande École > Semester 1 > 2,00 ECTS
- IÉSEG > IESEG Degree - Programme Grande École > Semester 2 > 2,00 ECTS
Prerequisites
Students who register for this course should be familiar with
1. basic calculus, statistics and probability theory;
2. financial derivatives such as forward and option contracts;
3. basic knowledge of data management (e.g., MS Excel);
4. knowledge of Bloomberg Terminal.
Learning outcomes
At the end of the course, the student should be able to:
-understand the basic principles of technical analysis that include technical indicators and patterns;
-understand the basic extensions to technical analysis
-understand the technical analysis controversy and its relationship to market efficiency and behavioural finance.
Course description
Technical analysis examines the practical value of two types of analysis: charting, which identifies geometric patterns in the history of prices, and technical indicators approach, which mechanically applies mathematical trading rules constructed from past and present prices (and volumes). Such approaches ignore fundamental information about the price; however, they have been shown to result in trading profitability and are widely used by banks, fund managers and hedge funds. This course is aimed at providing students with an understanding of how technical analysis is used to uncover trends and predict turning points in financial markets. In addition, the course covers a number of related issues that include the efficient market hypothesis, event studies, calendar effects, market anomalies, and behavioral finance considerations.
Class type
Class structure
Type of course | Numbers of hours | Comments | |
---|---|---|---|
Independent work | |||
Research | 4,00 | ||
Face to face | |||
lecture | 16,00 | ||
Independent study | |||
Individual Project | 30,00 | ||
Total student workload | 50,00 |
Teaching methods
- E-learning
- Interactive class
- Project work
- Research
Assessment
The final exam will involve an individual take-home exam/project (data analysis and a written report).
Type of control | Duration | Number | Percentage break-down |
---|---|---|---|
Continuous assessment | |||
QCM | 0,00 | 0 | 10,00 |
Others | |||
Individual Project | 0,00 | 0 | 90,00 |
TOTAL | 100,00 |
Recommended reading
- 1. "Technical Analysis: The Complete Resource for Financial Market Technicians" (2nd Edition) by Charles D. Kirkpatrick II and Julie Dahlquist, FT Press (2010); -
- Bloomberg: Technical Analysis - Handbook. -
Internet resources
* This information is non-binding and can be subject to change