Using VIX Data to Enhance Technical Trading Signals

6 Pages Posted: 19 Sep 2011

See all articles by James Kozyra

James Kozyra

Lakehead University

Camillo Lento

Lakehead University

Date Written: September 18, 2011

Abstract

The purpose of this paper is to provide new insights into the relationship between technical analysis and implied market volatility (VIX) by calculating technical trading rules with the VIX price data, as opposed to the stock prices. Three trending trading rule signals are calculated on the prices of three major U.S. indices and the VIX prices. The results reveal that the trading signals calculated with the VIX level provides large, statistically significant profits that are in excess of the profits from the traditional computation. Sub-period analysis reveals that technical trading rules were most (least) profitable during the period with the highest (lowest) volatility levels.

Keywords: Technical analysis, volatility, VIX

JEL Classification: C4, C22, G14, G19

Suggested Citation

Kozyra, James and Lento, Camillo, Using VIX Data to Enhance Technical Trading Signals (September 18, 2011). Available at SSRN: https://ssrn.com/abstract=1930018 or http://dx.doi.org/10.2139/ssrn.1930018

James Kozyra

Lakehead University ( email )

955 Oliver Road
Thunder Bay, Ontario P7B 5E1
Canada

Camillo Lento (Contact Author)

Lakehead University ( email )

955 Oliver Road
Thunder Bay, Ontario P7B 5E1
Canada

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
1,643
Abstract Views
6,158
Rank
20,271
PlumX Metrics