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
security lending arrangement, a lease of vehicles, plant, and equipment;
▲ the design of financial contracts, such as a structured bond or
a life insurance policy with 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, financial models,
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, 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
Review of financial mathematics.
Simple
and compound interest. Bilateral loans and bonds. Pure discount bonds. Equivalent
rates of compound interest. Continuous compound interest. Money and capital
markets. Term structure of interest rates: spot and forward rates, measurement (Government
bond market, money market). Classical term structure explanations. Annuities and perpetuities with payments in arrear. Repayment
of a loan in instalments. Operating and financial leasing.
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 and critical line.
Basics of bond management.
Fixed rate bonds: clean
and dirty price, yield to maturity, yield-price relation. Yield curves.
Floating rate bonds: definition and valuation. Duration and variability of a
bond price. Duration of a bond portfolio. Price and reinvestment risk. Immunisation
of a bond portfolio against interest rate risk. Credit risk: default and
recovery rates, credit rating by international agencies, actual yields on
corporate bonds. Overview of bond management in practice.
Basics of stock management.
Stock
return. Portfolio return. Portfolio
selection: mean-variance framework, statistical properties of stock returns (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 and mispriced-asset selection, style switching and group rotation). Corporate
competitive advantage and financial performance. Fundamentals of value
investing.
Examinations
After completing an individual
home assignment as well as a group one 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.