- Docente: Andrea Guizzardi
- Credits: 5
- SSD: SECS-S/03
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Rimini
- Corso: First cycle degree programme (L) in FINANCE, INSURANCE AND BUSINESS (cod. 8053)
Learning outcomes
The course develop skills to define trading strategies based on the construction of financial markets probabilized scenario. In particular, the student is able to: analyze the dynamics of financial time series by combining the basic principles of: technical analysis (graphical and quantitative approach) with the basic issues of sentiment analysis. Particular attention is devoted to reconduct the usage of quantitative indices and smoothing tecniques to the classical statistical inferential field, and to translate the obtained results in operational strategies even through the construction oftrading systems
Course contents
The analysis of prices in financial markets:
Technical analysis compared to fundamental analysis and sentiment
indicators. The strategies of technical analysis: the role of
prices, volumes and frequency of observation. Time frequencies in
financial markets: long term vs intraday approaches in the tecnical
analysis. The investor psychology (basics), its implications in
building trading rules.
Tools for graphical analysis:
Graphic representations and scales. The determination of levels of
input and output through supports, resistances, and gap. The
graphical analysis with the candlestick. Key figures and graphics
usage in the identification of targets and stops. How to identify
market stages: reversal and continuation patterns, trend line
breaks, gap closure, volumes and volatility.
The quantitative approach to analysis technique
Statistical models for trend: linear interpolation moving
averages, exponential smoothing. Models fortrend
specification and estimation: least squares and differnt loss
function optimization. The role of market trends and volatility in
models specification: statistical inference for estimation
andhistorical ex post optimization. Connection
betweenprediction intervals and critical input and output
price levels.
How to detect / avoid false technical signals
How to build operational strategies:
Readings/Bibliography
Testi di riferimento:
M.J. Pring “Technique analysis of financial
market”,
chapters 1 to 13 ; 25 to 28.
Teaching methods
Theoretical introduction to the argumentsfollowed by extensive discussions of examples and simulations of real cases (exercises)
Assessment methods
Drafting of operational strategy(written) and oral examination
Teaching tools
Endouts and software package for technical analysis in the lab
Office hours
See the website of Andrea Guizzardi