Repository logo
Log In(current)
  1. Home
  2. Colleges & Schools
  3. Graduate School
  4. Doctoral Dissertations
  5. An empirical investigation of Treasury bond futures option portfolios
Details

An empirical investigation of Treasury bond futures option portfolios

Date Issued
August 1, 1992
Author(s)
Vines, Tim W.
Advisor(s)
Ron Shrieves
Additional Advisor(s)
George Philippatos
Harold Black
Jean Gauger
Jimmy Hilliard
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/19195
Abstract

This dissertation examines the return distributions of portfolios containing Treasury securities and the Treasury Bond Futures Option. The two principle areas of investigation are the characteristics of the distributions and the effect on return of a number of portfolio properties. Information is provided about the similarity of covered call and protective put strategies using futures options to the evidence from equity option studies. Both strategies reduce return and dispersion relative to the spot portfolio, while the put portfolios increase positive asymmetry and the call portfolios provide negative asymmetry. As suggested by theory, banks and government bond dealers can benefit from the reduction in interest rate risk each strategy provides. However, the effect on return of the change in the asymmetry of the positions does not follow the predictions of the skewness preference literature. Evidence suggests that investor groups may exist which value these portfolios based on the convexity or concavity of the payoff functions. Other contributions of this study are: 1) verification with actual market price data of the opportunity expanding capabilities of option use; 2) a description of the relative performance of various measures of dispersion and asymmetry; 3) the use of a multivariate model which may be used for tests of a wide variety of studies of the investment behavior of individuals and institutions; and 4) the application of an error components model to account for the complex variation often encountered in studies that pool time series and cross-sectional data.

Degree
Doctor of Philosophy
Major
Business Administration
File(s)
Thumbnail Image
Name

Thesis92b.V553.pdf

Size

4.86 MB

Format

Unknown

Checksum (MD5)

3d6bc85362aefaa1301118647f4a6386

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback
  • Contact
  • Libraries at University of Tennessee, Knoxville
Repository logo COAR Notify