Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Volatility level dependence and the CEV market model

Interest-rate volatility is known to be level-dependent. However, Filipovic, Larsson and Trolle (2017) found that volatility becomes more level-dependent as the interest rate approaches the zero lower bound. This varying volatility level-dependence feature motivates the use of CEV market model to mo...

Full description

Saved in:
Bibliographic Details
Main Author: Yeung, Alan
Other Authors: Ouwehand, Peter
Format: Thesis
Language:English
Published: Graduate School of Business (GSB) 2021
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Interest-rate volatility is known to be level-dependent. However, Filipovic, Larsson and Trolle (2017) found that volatility becomes more level-dependent as the interest rate approaches the zero lower bound. This varying volatility level-dependence feature motivates the use of CEV market model to model the interest rate. In this dissertation, we compare the lognormal forward LIBOR market model, the CEV market model and the normal market model through regression analysis, hedging analysis and calibration analysis to assess their performance. The investigation is performed using EURIBOR 10-year interest-rate caps with various strike rates. This research work has a significant impact as the industry often needs to hedge interestrate caps. We show that although the CEV market model best calibrates to market prices, the normal market model is the best in terms of hedging interest-rate caps.