This course concerns the
application of scientific tools to investment and funding activities. It deals
with some validated quantitative models and processes that support financial
decisions in such fields as
▲ the appraisal and
comparison of real investment projects;
▲ the comparison of banking and near banking transactions,
such as a time deposit, a home mortgage loan, a leasing of vehicles, plant, and
equipment;
▲ the design of financial contracts, such as a structured bond or
a life insurance policy, either guaranteed capital or return;
as well as
▲ the management of financial risks and returns, as in the
case of a portfolio of bank loans, a pension fund, or a mutual fund;
▲ the supervision and control of financial risks.
As for the investment
activity, the course provides a technical overview and lets students get
accustomed to some of its procedures, which are usually computer-based. To strengthen
the link with professional practice, emphasis is placed on data, quantitative models,
and both statistical and empirical estimation procedures that are referred to
in the workplace. 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, especially in stocks and bonds. This is essential for
understanding in depth such operative issues as
▲ how to detect mispriced
stocks, i.e. how to pick stocks effectively;
▲ how to obtain the
greatest possible return from a financial portfolio with a given degree of risk.
All the relevant aspects of a financial
problem are taken into account through a problem-oriented and hence
multidisciplinary approach, in which
▲ reference may be made to
the theoretical principles and practical notions of other related subjects,
such as accounting, industrial economics, and applied 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.
The material covered in each
unit progresses from the simplest concept to the more advanced one. First the
fundamentals of financial mathematics are reviewed. The acquired notions are
then used to examine such applicative problems as the measurement of a term
structure of interest rates, the selection of real investment
projects, the appraisal of companies, the
management of a bond portfolio, and the management of a stock portfolio.
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
0. Review of financial mathematics.
Simple
and compound interest. Pure discount bonds. Equivalent rates of compound
interest. Money and capital markets. Term structure of interest rates: spot and
forward rates, measurement (government bond market, money market). Term
structure explanations. Annuities and perpetuities
with payments in arrear. Repayment of a loan in instalments.
1. Appraisal
of a real investment.
Real investment
plans and equity cash flows. Net present value and internal rate of
return: definition and properties. Viability of a single investment
project. Mutually exclusive investment projects. Projections of pro forma
financial statements on an electronic spreadsheet. Product
/ industry life cycles; growth and value companies. Company evaluation formulae;
implicit mean rates of return.
2. Basics of bond management.
Fixed rate bonds: clean
and dirty price, yield to maturity, yield-price relation, price and
reinvestment risk, credit risk: default and recovery rates, credit rating by
international agencies, actual yields on corporate bonds. Yield curves. Floating
rate bonds: definition and valuation. Overview of bond management in practice.
3. Basics of stock management.
Stock
return. Portfolio return. Portfolio
selection: mean-variance framework, statistical properties of stock returns (short-term
heteroskedasticity and long-term mean reversion), 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: the
investment process, passive and active management (market timing, asset
selection). Fundamentals of value investing.
Examinations
After completing individual
as well as group class assignments 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
Farrell,
J.L., Portfolio management: theory and applications, New York, Irwin /
McGraw-Hill, 1997.
Keasey,
K., Hudson, R., Littler, K., The intelligent guide to stock market
investment, Chichester, Wiley, 1998.
Luenberger,
D.G., Investment Science, New York, OxfordUniversity Press, 1998.
Additional references may be
made available in class. Handouts are available at the International Office.