dc.description.abstract | The task addressed in this study is how to use a Knowledge Based System to determine
the most appropriate rate of discounting government securities, a task undertaken by the
Central Bank of Kenya on behalf of the Government of Kenya.
The arm is to facilitate an easier decision-making process on the impact of any chosen
rate on the economy without heavily relying on experts. The knowledae Based S stem is
to acquire the desired knowledge from experts and infer when the need arises.
The Treasury Valuation System is an integrated system that has an RDBMS to analyse
the market response and a Knowledge Based System to give guided decision on the
impact of government securities based on the rates obtained from the RDBMS in relation
to other economic variables as desired.
The knowledge base will bring in a new dimension, whereby expert knowledge, a domain
of security experts wh ieh is still Iimitcd in our environment becomes a first line analytical
tool for novice and sundry.
The resu Its implied that playing around with interest rates, the management of the
economy can be guided appropriately from available data till a desired trend is attained.
Further KBS will revolutionise the grey areas of financial management with decision
making being extended to non-experts of the domains. | en |