A Dynamic Optimization Model Incorporating the VIX Index to Predict Future Returns Open Access
Joy, Andrew Gary (2010)
Abstract
Abstract
A Dynamic Optimization Model Incorporating the VIX Index to Predict
Future Returns
By Andrew G. Joy
This paper demonstrates that there is a significant relationship
between a periods change in the VIX index
and future asset returns for the data tested on six mutual funds.
Each of the six funds has a negative
relationship with the VIX index, indicating an increase in expected
market volatility is associated with
decreased future asset returns. However, as expected, there is a
significant amount of variance in the
intercept terms and the beta coefficients between the assets,
indicating that some assets are more sensitive
to a given change in the VIX index. Additionally, through several
out-of-sample simulations, a portfolio
that incorporates the VIX index to project future asset returns,
while holding constant variances, co-
variances, and expected returns outperformed both the standard
mean-variance optimization using static
estimates, as well as the equally weighted (1/N) portfolio. The VIX
optimized portfolio outperformed the
other two portfolios in several aspects, including total return as
well as return/risk performance ratios. The
benefits of the VIX index is especially useful during bear markets,
as losses were substantially minimized
during market downturns compared with the other two portfolios. In
addition, the data in this paper
supports the theory that large increases in expected volatility may
be an indicator of an oversold market.
This is demonstrated by the fact that the optimal VIX portfolio
increased its positions in riskier assets and
reduced its position in safer assets subsequent to a rise in
expected implied market volatility represented by
a change in the VIX index.
Table of Contents
TABLE OF CONTENTS
I.
INTRODUCTION
II.
UNDERSTANDING THE VIX
III. DATA DESCRIPTION
IV.
METHODOLOGY
a. STANDARD OPTIMIZATION AND EQUALLY WEIGHTED PORTFOLIO
b. VIX OPTIMIZATION MODEL
V.
RESULTS
a. VIX INDEX AND FUND REGRESSIONS
b. OUT-OF-SAMPLE SIMULATIONS
c. TOTAL PERIOD PERFORMANCE
d. PERFORMANCE DURING THE FINANCIAL CRISIS
e. VIX MODEL ASSET WEIGHTS
d. STANDARD MARKOWITZ ASSET WEIGHTS
VI.
BRIEF CONCLUSION AND ADDITIONAL RESEARCH
VII. EXHIBITS
VIII. REFERENCES
About this Honors Thesis
School | |
---|---|
Department | |
Degree | |
Submission | |
Language |
|
Research Field | |
Keyword | |
Committee Chair / Thesis Advisor | |
Committee Members |
Primary PDF
Thumbnail | Title | Date Uploaded | Actions |
---|---|---|---|
A Dynamic Optimization Model Incorporating the VIX Index to Predict Future Returns () | 2018-08-28 12:43:11 -0400 |
|
Supplemental Files
Thumbnail | Title | Date Uploaded | Actions |
---|