quantitative management

Quantitative Management (QM) is a technique founded on over 30 years of portfolio management research. The many theories involved in portfolio management, of which Capital Asset Pricing Model (CAPM) is the most widely-known, have led to a wide range of investor behaviour models. Each model aims to predict future market movements and measure the risks associated with them. These risks can be analysed according to potential returns, thus providing a risk management tool. Although the development of computer systems and software has allowed the widespread application of these techniques, the reliability of the results they produce depends upon the quality of the forecasts they use, especially those relating to returns on financial assets. Considering this, investment and risk management techniques take on considerable importance, and those applied by Bearbull meet the highest possible performance specifications.
Quantitative Management (also known as Operations Research) off ers a systematic and scientifi c approach to problem solving and decision making in complex environments and situations of uncertainty and confl ict. The discipline is characterised by a search for an optimal (best) answer for a problem by using quantitative
(numerical) models. The use of mathematical models enables a decision maker to bett er understand the problems facing him/her and provides a tool for making informed and reasoned judgements.
Quantitative Management is a practical fi eld. It can be applied in many areas: manufacturing, businesses management, banking, environmental planning, mining, housing and engineering projects, management consultancy – in fact, in every situation where numerical data are available and management or decision making takes place.
The aim of the undergraduate programme in Quantitative Management is to give a student a substantive theoretical background in Quantitative Management, and – at the same time – to inculcate modelling skills and