Two Ways Of Hedging The US Dollar Index ETF
UPP Closes UP On Fed News
Shares of the PowerShares DB US Dollar Index Bullish ETF (NYSE: UUP) closed up fractionally on Wednesday on news (reported by Benzinga) that the Fed had no near-term plans to taper its $85 billion monthly asset purchases. Nevertheless, Benzinga noted that the longer term trend for UUP remains down. For investors looking to add downside protection, here are two ways to hedge.
1) Hedging With Optimal Puts
0.70% cost. uncapped upside.
These were the optimal puts*, as of Wednesday’s close, to hedge 1000 shares of UUP against a greater-than-3% drop between now and March 21st.
As you can see at the bottom of the screen capture below, the cost of this protection, as a percentage of position value, was 0.70%.
2) Hedging With An Optimal Collar
0% cost. 2% upside cap.
If you were willing to cap your potential upside at 2% between now and March 21st, this was the optimal collar** to hedge 1000 shares of UUP against a greater-than-3% drop over the same time frame.
As you can see at the bottom of the screen capture above, the net cost of this collar, as a percentage of position value, was 0%
Note that, to be conservative, Portfolio Armor calculated the cost of this hedge by using the bid price of the call leg and the ask price of the put leg. In practice, you can often sell calls for more (at some price between the bid and ask) and buy puts for less (again, at some price between the bid and ask), so, in actuality, an investor opening the optimal collar above may have gotten paid to hedge in this case.
Possibly More Protection Than Promised
*Optimal puts are the ones that will give you the level of protection you want at the lowest possible cost. Portfolio Armor uses an algorithm developed by a finance PhD to sort through and analyze all of the available puts for your stocks and ETFs, scanning for the optimal ones.
**Optimal collars are the ones that will give you the level of protection you want at the lowest net cost, while not limiting your potential upside by more than you specify. The algorithm to scan for optimal collars was developed in conjunction with a post-doctoral fellow in the financial engineering department at Princeton University. The screen captures above come from the Portfolio Armor iOS app.
The following article is from one of our external contributors. It does not represent the opinion of Benzinga and has not been edited.