The Collar Strategy

Collar is a proven strategy that can transfer the downside risk of investing in stocks. Szado and Kazemi of the University of Massachussetts performed a study of QQQ.

Over the 9-year period from March 1999 to March 2008, the collar strategy returned more than 150% cumulatively, while QQQ lost 12% during this period. Annualized return was 23.01% with standard deviation of only 9%. While the standard deviation of QQQ was 27%!

The Active Collar

Szado extended the study to March 2009 and found an active collar can boost the return. When QQQ went up, the strike prices of the collar must be raised. When it dropped, the strikes must be lowered.

Algorithmic Trading with a Collar

We discovered a way of boosting the performance of a collar strategy by actively buying and selling the underlying rather than adjusting the strike prices of the collar as suggested by Szado.

We got this idea from a buy-low, sell-high model by Levkovich.

The Results

We compared the performances of the Buy-and-Hold, the Collar, and our Algorithmic Collar from October 2004 to November 2007 on FXI (the ETF that tracks China equities). Our algorithmic collar outperformed both the buy-and-hold and the collar strategies.

Back-Testing Levkovich's Model

We decided to quantify Levkovich's model and test it in Tradestation on 44 most actively traded US stocks on a much higher frequency.

The Results

Here are the results.

 » AAPL  » AIG  » AMD  » AMZN  » BAC  » BIDU  » BP  » BRK.A  » C  » CSCO  » DIA  » EEM  » EEV  » EMC  » EWC  » EWH  » EWJ  » EWV  » F  » GE  » GLD  » GLW  » GOOG  » GS  » HBC  » HPQ  » INTC  » IWM  » JNJ  » MSFT  » MU  » NOK  » OXY  » PFE  » QID  » QLD  » QQQQ   » SPY  » SSO  » USO  » UYG  » XLE  » XLF  » YHOO 

The Chart 

Let us take a look at the chart of AAPL and GLD. Both are performing well.

Bi-Directional Model

We trade the same asset long and short at the same time automatically.

Algorithmic Collar

We actively trade the underlying stock with a collar.

0-Risk Dividend Arbitrage

  • We foud opportunities in 0-risk dividend arbitrage.


Risk Disclosure

Investment involves risk. Hypothetical performance results have many limitations. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. One of the limitations of hypothetical performance trading results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading.