•GUIDA ECONOMIA 07-08 - Università degli studi di Udine

prospectus udine
181
Flow-based analysis.
Economic and financial forecast.
Pre-requisites
The course of ‘Corporate economics’ is
preparatory.
Bibliography
Course textbook
- R. CAPPELLETTO, Elementi di finanzia
aziendale, Giappichelli, Turin, 2003.
CORPORATE FINANCE
ADVANCED COURSE
Prof. Roberto Cappelletto
Aims
The course aims to analyse from a critical
perspective the main theoretical models
developed by modern corporate finance
theory in order to provide a wide framework
for the comprehension of funding
decisions.
Contents
Determinants of financial dynamics.
Measuring cash flows (Capital Budgeting).
Perspective cash flow variability and corporate
risk.
Financial value of time: the yield curve.
Financial value of time: the cost of capital.
Valuing investment choices.
Valuing financing choices.
Determination of the optimal financial
structure.
Determinants of interest rates and risk
valuation.
Portfolio diversification and risk pricing.
Capital Asset Pricing Model and its evolution.
Arbitrage Price Theory.
Capital market efficiency.
Determination of the cost of capital.
Financial decisions and the financial
environment.
Financial strategy decisions.
Pre-requisites
The course of ‘Corporate finance’ is
preparatory.
Bibliography
- S.A. ROSS, R.W. WESTERFIELD, J.F. JAFFE,
Finanza aziendale, Il Mulino, Bologna,
1997, chapters 1-19.
DATA ANALYSIS
(CdL BE, EBA)
Prof.ssa Laura Pagani
Contents
1. Introduction
Introduction to basic statistical concepts:
observed phenomenon (distinguishing
between different kinds of variables); statistical
units; population; complete or
sample survey.
2. Frequency distribution
Absolute, relative and percent frequency
(both simple and cumulative) for discrete
variables (both in the qualitative and
quantitative case). Absolute and relative
frequency and density functions for the
continuous variable case. Frequency distributions
graphs. Distribution function
for the continuous variable in the case of
class categorization.
3. Indexes
Location measures: mean, median,
mode, percentiles. Dispersion measures:
range, interquartile range, variance, standard
deviation and coefficient of variation.
Gini concentration index (with the Lorenz
curve plot). The box & whiskers plot.
4. Bivariate analysis
Association analysis: two-way frequency
tables, scatter plot, conditional mean and
variance, covariance and Pearson correlation
index. Simple linear regression: least
squares point estimates; regression line;
goodness of fit.
5. Exercises
All topics will be supported by some
examples and exercises.