Access the full text.
Sign up today, get DeepDyve free for 14 days.
PurposeThe purpose of this paper is to study the sensitivity of foreign exchange exposure through the cash flow estimation method using a sample of 59 UK insurance companies. This approach allows a decomposition of exposures into short- and long-term components. By revealing the nature of their cash flow exposures, companies can evaluate the effectiveness of their hedging programmes and focus their hedging efforts according to the nature of their exposures.Design/methodology/approachMartin and Mauer’s (2003, 2005) three-stage model is used to estimate foreign exchange rate transaction exposures for the sample of 65 UK insurance companies over the period 2004-2013. However, this paper has one important innovation to this method. Instead of the model used in previous papers, the paper uses a model from the actuarial field that was proposed by Blum et al. (2001) for modelling foreign exchange rates with their relevant constituents (inflation and interest rate).FindingsThe evidence shows that the currency transaction exposure for non-life insurers is greater than that of life insurers. Moreover, the author finds that large insurers exhibit lower frequencies of foreign exchange transaction exposure than small insurers.Originality/valueThe value of this paper comes from the fact that revealing the nature of cash flow exposures, companies can evaluate the effectiveness of their hedging programmes and focus their hedging efforts according to the nature of their exposures.
Journal of Economic and Administrative Sciences – Emerald Publishing
Published: Nov 21, 2016
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.