Two Ways of Hedging NFLX

Netflix, Inc.  (NFLX), shares of which were up about 70% last week,  offers another interesting comparison of hedging with optimal puts to hedging with optimal collars.

Here are the optimal puts, as of Friday’s close, for an investor looking to hedge 10,000 shares of NFLX against a greater-than-20% drop between now and June 21:

Embedded image permalink

As you can see in the screen capture above, the cost of those optimal puts, as a percentage of position, is 13.09%.

An NFLX investor interested in hedging against the same, greater-than-20% decline over the same time frame, but also willing to cap his potential upside at 15%, could use the optimal collar below to hedge.

As you can see at the bottom of the screen capture above, the net cost of this optimal collar is negative – that means that the NFLX investor would be getting paid to hedge in this case.

The algorithm to scan for optimal collars was developed in conjunction with a post-doctoral fellow in the financial engineering department at Princeton University, and is currently available on the web version of Portfolio Armor. The screen captures above come from the latest build of the soon-to-come 2.0 version of the Portfolio Armor iOS app.  Optimal collar capability will be available as an in-app subscription in the 2.0 version of the app.

Two Ways Of Hedging ZNGA

Mobile game maker Zynga, Inc. (ZNGA) offers an interesting comparison of hedging with optimal puts to hedging with optimal collars.

Here are the optimal puts, as of Friday’s close, for an investor looking to hedge 10,000 shares of ZNGA against a greater-than-20% drop between now and June 21:

ZNGA Optimal Puts

As you can see in the screen capture above, the cost of those optimal puts, as a percentage of position, is 14.46%.

A ZNGA investor interested in hedging against the same, greater-than-20% decline over the same time frame, but also willing to cap his potential upside at 20%, could use the optimal collar below to hedge.

ZNGA Optimal Collar

As you can see at the bottom of the screen capture above, the net cost of this optimal collar is negative – that means that the ZNGA investor would be getting paid to hedge in this case.

The algorithm to scan for optimal collars was developed in conjunction with a post-doctoral fellow in the financial engineering department at Princeton University, and is currently available on the web version of Portfolio Armor. The screen captures above come from the latest build of the soon-to-come 2.0 version of the Portfolio Armor iOS app.  Optimal collar capability will be available as an in-app subscription in the 2.0 version of the app.

Follow-Up: How Three Apple Hedges Reacted To Thursday’s Drop

In a recent post (“Two Ways of Hedging Apple and Research In Motion“), we mentioned that hedge fund manager and market technician Tim Knight’s bearish November post about Apple (“How Apple Became Japan“) looked prescient. It looks even more prescient now after Apple’s post-earnings tumble. In our post, we mentioned a few different hedges on Apple. Below is a quick update of how those hedges reacted as Apple dropped more than 12% on Thursday.

February Expiration Optimal Put

This was the optimal put* we first mentioned in an August 17th tweet. This was the optimal put to hedge against a greater-than-20% drop from Apple’s share price at the time (about $648).

Feb AAPL Optimal Put Update

July Expiration Optimal Put

This was the optimal put we mentioned in our previous post on hedging AAPL, to hedge against a drop of greater-than-20% from Apple’s price at the end of last week (about $500 per share).

July AAPL Optimal Put Update

July Expiration Optimal Collar Update

And, finally, this is an update on the optimal collar** we mentioned in that previous post. This one was designed to protect against a greater-than-20% drop from its then-current market price of about $500, while capping an investor’s upside at 15%. This was a negative-cost collar, because the income from selling the calls more than offset the cost of buying the puts, so an investor opening that collar was effectively getting paid to hedge. Note that the call leg here has dropped in price, as expected. If our hypothetical investor turned bullish on Apple today, for some reason, he could buy back that call leg here for less than he sold it for, removing his upside cap.

July AAPL Collar Update

*Optimal puts are the ones that will give you the level of protection you want at the lowest possible cost. Portfolio Armor (available on the web and as an Apple iOS app), uses an algorithm developed by a finance Ph.D 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 extension to the Portfolio Armor algorithm to find optimal collars was developed by a post-doctoral fellow in the financial engineering department at Princeton University.

Inexpensive Ways To Hedge The S&P 500 Index ETF SPY

Low Implied Volatility For the S&P 500; Lower For SPY

On Wednesday, Bloomberg TV reporter Adam Johnson noted that, while the S&P 500 Volatility Index (VIX) is near a 6 year low, hovering near 12.5, the volatility measure of the SPDR S&P 500 index tracking ETF SPY is even lower — at about 5. Consequently, Johnson noted, puts on SPY were cheap. In the link in his tweet below, he suggests that long equity investors consider hedging now, with the market near five and a half year highs, and the price of downside protection cheap.

Here Are Your Cheap… and Cheaper Put Options bloom.bg/11SKE2K

—Adam Johnson (@AJInsight) January 24, 2013

Johnson suggested investors look at the at-the-money March SPY puts, which, as of Wednesday’s close, would cost about 1.8% of position value.

Cheaper Ways to Hedge SPY

Adam Johnson is right that SPY puts are cheap now, but there are less expensive ways to hedge, over a longer time frame, depending on how much of a downside you are willng to risk. The screen captures below show the optimal puts* to hedge 100 shares of SPY against, respectively, a greater-than-10% drop, and a greater-than-15% drop between now and June.

10 15 R SPY Puts

Unlike the March expiration put Johnson mentioned, the optimal puts above would provide protection until late June.

Effect Of Low Volatility On SPY Collars

In a previous post (“Two Ways Of Hedging Apple and Research In Motion“), we saw an example of a security that was expensive to hedge with optimal puts, but had a negative hedging cost with an optimal collar: the cost of buying its expensive put options were more than offset, in that case, by the income from selling its expensive out-of-the-money calls. The opposite is the case with SPY today: its put options are cheap and its call options are cheap too, so the income from selling those call options doesn’t reduce the already-low hedging cost much. The screen capture below shows an example of this, with an optimal collar on SPY using a 10% cap and a 15% threshold (i.e., an investor opening this collar would be willng to limit his potential upside between now and June to 10%, in order to reduce the cost of hedging against a greater-than-15% drop in SPY between now and then).

10 15 SPY Optimal Collar

Given the low cost of SPY puts now, I doubt many investors would be willing to cap their upside at 10% over the next five months just to shave 20 basis points (0.20%) off of the cost of their downside protection, but I’ve included the optimal collar screen capture above for illustration purposes.

*Optimal puts are the ones that will give you the level of protection you want at the lowest possible cost. Portfolio Armor (available on the web and as an Apple iOS app), uses an algorithm developed by a finance Ph.D 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 extension to the Portfolio Armor algorithm to find optimal collars was developed by a post-doctoral fellow in the financial engineering department at Princeton University. This capability is currently available on the web version of Portfolio Armor, and will be available soon as an in-app subscription for the iOS app.

Hedging Against The Decline Of The Blue Social Model

The Decline of the “Blue Social Model”

Blogger and Bard College professor Walter Russell Meade has written for years about the decline of what he calls the Blue Social Model, the post-World War II economic structure built on unionized middle class jobs with generous wages in government at at oligopolistic private sector firms such as the old AT&T. Of course, those sorts of private sector middle class jobs have been disappearing for decades, so what Meade has focused on is the unsustainability of unionized public sector jobs, with the increasingly parlous finances of state and local governments. Professor Meade noted in a post last week that the New York Times now acknowledges the fragility of this model.

In that post, Meade quotes Thomas Edsall of the New York times:

Dozens of city and state public employee pension plans are on the verge of bankruptcy—or are actually bankrupt—from Rhode Island to California; in 2010, a survey of 126 state and local plans showed assets of $2.7 trillion and liabilities of $3.5 trillion, an $800 billion shortfall.

Meade concludes: “The reality of blue model decline is so obvious that nobody can ignore it any longer.”

Hedging a Few Securities That Could Be Impacted by Blue Model Decline

With the decline of the Blue Social Model gaining wider currency, I thought it would be interesting to look at the cost of hedging a few securities that could be affected by this. The three that came to mind were the iShares S&P National AMT-Free Muni Bond fund ETF (MUB), the PowerShares Insured National Muni Bond fund ETF (PZA), and the municipal bond insurer Assured Guarantee Ltd. (AGO). First we’ll look at the optimal puts* for hedging MUB and PZA against greater-than-10% declines over the next several months.

The Optimal Puts to Hedge MUB and PZA 

MUB PZA puts

The screen capture above shows the optimal puts, as of Tuesday’s close, to hedge MUB and PZA against greater-than-10% drops over the next several months. That the uninsured municipal bond ETF, MUB, is so much cheaper to hedge, on a percentage basis, than the insured municipal bond ETF PZA is an interesting result. Curious to see if PZA was levered, I took a quick glance at its prospectus, but didn’t see a mention of leverage there. It is less diversified than MUB, though, with nearly 30% of its assets in its top 10 holdings, versus MUB, which has about 3% of its assets in its top 10.

Not Good Candidates for Hedging With Optimal Collars

In our last post (“Two Ways of Hedging Apple and Research In Motion“), we wrote about how investors willing to cap their potential upsides can, in some cases, reduce or eliminate their hedging costs by using optimal collars**. PZA isn’t one of those cases. Even if you enter 1% as your cap when using Portfolio Armor, you won’t find an optimal collar for PZA now, due to a paucity of out-of-the-money calls with bids. You’ll find an optimal collar for MUB with a 1% cap, but since I can’t imagine why anyone would use a cap that small, without getting paid to do so (if you think the ETF only has 1% upside, why  not just sell it?), I haven’t included it here.

Hedging AGO with Optimal Puts

AGO Put

The screen capture above shows the optimal puts, as of Tuesday’s close, to hedge 1000 shares of AGO against a greater-than-20% drop over the next several months. I’ve used a 20% threshold on this one for a couple of reasons: because equity investors are generally less risk-averse than bond investors, and so might be willing to tolerate a larger percentage drawdown, and because there are no optimal puts for AGO using a 10% threshold — the cost of hedging AGO against a greater-than-10% drop is itself greater than 10%. Unlike MUB and PZA, though, there is an optimal collar available for AGO using a reasonable cap.

Hedging AGO with an Optimal Collar

AGO Optimal Collar

The screen capture above shows the optimal collar, as of Tuesday’s close, to hedge 100 shares of AGO against a greater-than-20% drop over the next several months, if you are willing to cap your potential upside at 10% over the same time frame. Like the two optimal collars in our previous post, this is a negative cost collar: because the income from the call leg is greater than the cost of the put leg, an investor opening this collar is getting paid to hedge.

The Mystery of MUB

If, as Walter Russell Meade suggests in the post we quoted above, the decline of the Blue Social Model is widely-acknowledged, why is it so inexpensive to hedge a fund invested in the debt obligations of blue states? Do options market participants expect that blue states would rather raise taxes and cut services than stiff municipal bond investors? Or do they expect that ultimately the federal government will continue to keep the states above water fiscally? And if so, what impact will that have on federal debt (since the federal government, of course, has to borrow to send money to the states)? We’ll take a look at hedging securities invested in federal debt in a future post.

*Optimal puts are the ones that will give you the level of protection you want at the lowest possible cost. Portfolio Armor (available on the web and as an Apple iOS app), uses an algorithm developed by a finance Ph.D 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 extension to the Portfolio Armor algorithm to find optimal collars was developed by a post-doctoral fellow in the financial engineering department at Princeton University. This capability is currently available on the web version of Portfolio Armor, and will be available soon as an in-app subscription for the iOS app.

Two Ways of Hedging Apple and Research In Motion

Back in November, when Apple was about 40 points higher than it is now, hedge fund manager and market technician Tim Knight wrote what now looks like a prescient post about how its stock’s best days were behind it (“How Apple Became Japan“). Here’s how Tim concluded that post:

As for the stock price, I suspect it’ll resemble the Nikkei chart found way above, although perhaps not as dramatically. I imagine AAPL will be in the low 400s next year and will meander around relatively trendlessly for years to come. Its multi-thousand percent gain will be a part of financial history, just like similar gains enjoyed many years ago by RIMM, CSCO, and YHOO.

 

Although Apple has slid since then, surprisingly, shares of its smart phone maker competitor Research In Motion (RIMM) have nearly doubled.

AAPL RIMM Chart

Hedging AAPL With Optimal Puts In August

Back in August, I tweeted from the Portfolio Armor twitter account the optimal put* to hedge Apple against a greater-than-20% drop over the next six months:

As $AAPL hits a new high, the cost of hedging it against a >20% drop between now and February. twitter.com/PortfolioArmor…

— Portfolio Armor (@PortfolioArmor) August 17, 2012

That put is getting a little long in the tooth now, but since AAPL has dropped 22.9% since then, it has done its job: if an AAPL long who purchased that put on August 17th were to exercise it now, his loss would be limited to 20%, taking into account the initial cost of the put. Since the put still has some time value left (see the screen cap of the Yahoo quote page for it below), he’d have a smaller loss if he sold the put and his AAPL shares now — in that case, his loss would be limited to 17.7%.

AAPL Feb Put
Hedging AAPL And RIMM With Optimal Puts Now

If an AAPL long wanted to hedge against another 20%+ drop in his shares from here, he’d be able to find optimal puts to do that now — and for a fairly low cost, considering Apple’s recent slide. But despite RIMM’s recent rise, it is currently too expensive to hedge against a greater-than-20% drop from here:

AAPL RIMM Puts

 

Since the cost of hedging RIMM against a greater-than-20% drop was itself greater than 20% on Friday, Portfolio Armor indicated there were no optimal puts available for it (there was an optimal put available to hedge RIMM against a >21% drop, but the cost of it, as a percentage of position value, was 20.15%). This is a case where — for longs willing to cap their potential upside — being able to scan for an optimal collar** would come in handy.

After an embarassingly long delay, that capability is now live on the website, and coming soon to the iOS app (where it will be available as an in-app subscription). It has been generating some interesting results, including a number of instances where the optimal collars are zero cost, or even have negative net costs (i.e., the income from the calls you sell as part of the collar is greater than the cost of the puts you buy, so you are getting paid to hedge). Below we’ll take a look at the optimal collars to hedge $50,000 positions in AAPL and RIMM against greater-than-20% declines from here, for investors willing to cap their potential upsides from here at 15%.

 

Hedging AAPL and RIMM With Optimal Collars Now

As you can see in the screen captures below, for longs willing to cap their potential upsides at 15% while limiting their potential downside risk to drops of no more than 20%, the optimal collars are negative cost collars in both cases: the investors would get paid to hedge.

AAPL RIMM Collars

 

*Optimal puts are the ones that will give you the level of protection you want at the lowest possible cost. Portfolio Armor (available on the web and as an Apple iOS app), uses an algorithm developed by a finance Ph.D 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 extension to the Portfolio Armor algorithm to find optimal collars was developed by a post-doctoral fellow in the financial engineering department at Princeton University.

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