Financial Modelling
Lecturers
GHEZZI LUCA
Aim of the course
This course concerns the
application of scientific tools to the investment activity. It deals with some of
those scientific tools (models and procedures) that support financial decisions
in the fields of
• the appraisal
and comparison of real investment projects;
• the appraisal,
comparison and design of financial contracts;
• the management
of financial risks and returns.
There are two aims - to
develop the students’ ability to represent reality by using models and to
familiarise them with financial modelling, the latter being a premise to
financial engineering; needless to say, financial modelling is based in some
circumstances on notions that can be expressed only in mathematical terms. As
for the investment activity, the course leads students to improve their understanding
of its workings as well as of some of its procedures, which are often
computer-based. As a consequence, students will learn what to analyse and how
to approach a financial problem, whether it concerns a real investment or a
financial investment in stocks and bonds.
All the relevant aspects of a
problem are taken into account through a problem-oriented and hence multidisciplinary
approach, in which
• reference may be made to
the theoretical notions of other related subjects, such as accounting and statistics;
• attention may be paid
to the empirical evidence on financial markets and their workings;
• use may be made
of an electronic spreadsheet to carry out the various financial procedures
(students will design their own spreadsheets during some computer sessions and
as a home assignment).
To strengthen the link with
professional practice
• when presenting
each financial problem some connections are made, whenever possible, to the
main features of the setting where it arises; for instance, when presenting stocks
and bonds a brief examination is put forward of the financial markets which
they are traded on;
• emphasis is placed
on models and procedures which are referred to in the professional practice.
The material covered in each
unit progresses from the simplest concept to the more advanced one. First the
fundamentals of financial calculus are presented as well as their simplest
applications. The acquired notions are then used to examine such applicative problems
as the appraisal of companies, the selection of real
investment projects, the valuation of
bonds, the management of interest rate risk, the measurement of a term
structure of interest rates, the management of a stock portfolio. To cover the
last subject, use is made of basic notions of statistics.
To take this course, students
must be familiar with mathematics (basics of calculus and optimisation), statistics
(sample statistics and their distributions, hypothesis testing, linear regression) and accounting
(reclassified financial statements, main accounting ratios). Knowledge of the
financial system (markets and intermediaries as institutions and their
functions, financial contracts and their use) is helpful.
Syllabus
1. Review of financial calculus.
Compound
interest. Equivalent rates of compound interest. Continuous compound interest. Consistent
accumulation factors. Annuities and perpetuities with payments in arrear. Repayment
of a loan in instalments.
2. Investment
appraisal.
Gordon’s
model for the valuation of a company. Investment plans. Net
present value, internal rate of return and benefit-cost ratio criteria: definition
and properties. Viability of a single investment project. Mutually exclusive
investment projects. Investment ranking in capital budgeting. Financial
projections of a business plan on an electronic spreadsheet.
3. Fixed income securities
Money and capital
markets. Pure discount and fixed rate coupon bonds: definition and valuation.
Yield to maturity. Price and credit risk. Yield-price relation. Duration and
variability of a bond price. Duration of a bond portfolio. Immunisation of a
bond portfolio against interest rate risk.
4 Term structure of interest rates
Yield curves. Term
structure of interest rates: definition and measurement. Spot and forward rates
of interest. Floating rate coupon bonds: definition and valuation.
5. Basics of stock management.
Stock
return. Portfolio return. Random variables and
their statistical moments. Portfolio
selection: mean-variance framework, statistical properties of stock returns, representation
of feasible portfolios and derivation of efficient portfolios, risk diversification,
inclusion of a risk-free asset, one-fund theorem, two-fund theorem. Selected
empirical evidence on the workings of stock markets.
Overview of portfolio management in practice:
passive and active management (market timing, asset selection). Fundamentals of
value investing.
Examinations
After completing an
individual as well as a group home assignment during the course, attenders will
take a closed-book written exam at the end of the course. The exam for the
remaining students is oral. Whether the final exam is written or oral, a pocket
calculator is needed. Non-attenders may contact their lecturer for advice on
how to go about this subject.
Reading list
Damodaran, A., Investment
philosophies, Hoboken NJ, Wiley, 2003.
Farrell,
J.L., Portfolio management: theory and applications, New York, Irwin /
McGraw-Hill, 1997.
Luenberger,
D.G., Investment Science, New York, Oxford University Press, 1998.
Additional references may be
made available in class. Handouts are available at the International Office.