Estimating a fuzzy term structure of interest rates using fuzzy regression techniques [An article from: European Journal of Operational Research]
Book Details
PublisherElsevier
ISBN / ASINB000RR0VP0
ISBN-13978B000RR0VP2
AvailabilityAvailable for download now
Sales Rank11,527,660
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Several papers in the financial literature propose using fuzzy numbers (FNs) to model interest rate uncertainty. However, in our opinion, the first problem to be solved is how to estimate these rates with FNs. In this paper, we attempt to provide a solution to this question with a method for adjusting the temporal structure of interest rates (TSIR) that is based on fuzzy regression techniques. This method will enable to quantify the anticipated rates in the fixed income markets for the future with FNs. In particular, we discuss how to estimate the TSIR with triangular fuzzy numbers because of their desirable properties.
Description:
Several papers in the financial literature propose using fuzzy numbers (FNs) to model interest rate uncertainty. However, in our opinion, the first problem to be solved is how to estimate these rates with FNs. In this paper, we attempt to provide a solution to this question with a method for adjusting the temporal structure of interest rates (TSIR) that is based on fuzzy regression techniques. This method will enable to quantify the anticipated rates in the fixed income markets for the future with FNs. In particular, we discuss how to estimate the TSIR with triangular fuzzy numbers because of their desirable properties.
