Economy – Quantitative Finance – Statistical Finance
Scientific paper
2007-09-27
Economy
Quantitative Finance
Statistical Finance
8 pages, 8 figures. Presented at Applications of Physics in Financial Analysis conference (APFA6), Lisbon, Portugal, 2006
Scientific paper
10.1016/j.physa.2008.02.069
The present study deals with the analysis and mapping of Swiss franc interest rates. Interest rates depend on time and maturity, defining term structure of the interest rate curves (IRC). In the present study IRC are considered in a two-dimensional feature space - time and maturity. Geostatistical models and machine learning algorithms (multilayer perceptron and Support Vector Machines) were applied to produce interest rate maps. IR maps can be used for the visualisation and patterns perception purposes, to develop and to explore economical hypotheses, to produce dynamic asses-liability simulations and for the financial risk assessments. The feasibility of an application of interest rates mapping approach for the IRC forecasting is considered as well.
Kanevski M.
Maignan Michel
Pozdnoukhov A.
Timonin V.
No associations
LandOfFree
Interest rates mapping does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Interest rates mapping, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Interest rates mapping will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-481568