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A Seasonal Look at the U.S. Dollar

Seasonal trends can be found in many markets and stocks – the U.S. Dollar is no exception.  For our purposes today we will keep it very simple and look at which months have typically been “good, bad or indifferent” for USD.

The Test

For testing purposes we will use ticker DXY from ProfitSource by HUBB as shown in Figure 11

Figure 1 – Ticker DXY (U.S. Dollar 1977-2017) Courtesy ProfitSource by HUBB

In Figure 2 we find the following:

*3 Best Months = January, May and November

*3 Worst Months = April, September and December

*“Other” Months = February, March, June, July, August and October

2Figure 2 – Cumulative DXY % Gain Month-by-Month (1977-present)

Figure 3 displays the growth of $1,000 invested in ticker DXY during each of the three periods listed above.3
Figure 3 – Growth of $1,000 invested in DXY Good Months (blue), Bad Months (red) and Other Months (green); 1977-present

From Theory to Practice

Traders looking to actually use this information should:

*Determine whether or not they believe there is enough here to really go on.

*Focus on US dollar and inverse US dollar funds and/or ETFs including RYSDX, RYWDX, RDPIX, FDPIX and UUP and UDN.

RYSDX and RYWDX are open-end mutual funds that trade the dollar long (or short) using leverage of 2-to-1.  RDPIX and FDPIX do the same without using leverage and UUP and UDN are ETFs that trade the dollar long and short with no leverage.

Figure 4 displays the growth of $1,000 using monthly total return data for tickers RYSDX and RYWDX since they starts trading in May 2005, using the following method:

*Long RYSDX (i.e., long the U.S. Dollar) during Jan, May and Nov

*Long RYWDX (i.e., short the U.S. Dollar) during Apr, Sep and Dec

*In Cash (earning 1% annually) during all other months

4Figure 4 – Growth of $1,000 trading “Good” and “Bad” Months using tickers RYSDX and RYWDX (blue) versus buying-and-holding RYSDX (red); 2005-present

The bottom line:

*$1,000 invested as described grew to $2,656 (+166%)

*$1,000 invested in RYSDX using buy-and-hold declined to $883 (-12%)

*The average annual % gain using our trading model was +10.4%

*The average annual % loss holding RYSDX was (-0.1%)

*The trading method showed a 12-month gain 84% of the time

*Buying and holding RYSDX showed a 12-month gain 43% of the time

Summary

Is this actually a tradable model?  That’s not for me to say.  I am just putting the idea out there.  Still, given the consistent outperformance versus simply buying and holding the U.S. Dollar, it might at least be a good place to start looking.

Jay Kaeppel

Disclaimer:  The data presented herein were obtained from various third-party sources.  While I believe the data to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  The information, opinions and ideas expressed herein are for informational and educational purposes only and do not constitute and should not be construed as investment advice, an advertisement or offering of investment advisory services, or an offer to sell or a solicitation to buy any security.

A Focus on the Trends in Stocks, Bonds and Gold

In the end it is not so much about “predicting” what will happen next in the financial markets, but rather recognizing – and being prepared for – the potential risks, that makes the most difference in the long run.  So let’s start by looking at current trends.

Stocks

Let’s start with a most simple trend-following model that works like this:

-A sell signal occurs when the S&P 500 Index (SPX) registers two consecutive monthly closes below its 21-month moving average

-After a sell signal, a buy signal occurs when SPX register a single monthly close above its 10-month moving average.

Figure 1 displays recent activity.1Figure 1 – SPX Trend-Following signals (Courtesy AIQ TradingExpert)

The good news is that this model does a good job of being out of stocks during long bear markets (1973-74, 2000-2002, 2008-2009).  The bad news is that – like any trend-following model – it gets “whipsawed” from time to time.  In fact the two most recent signals resulted in missing out on the October 2015 and March 2016 rallies.

But note the use of the phrase “simple trend-following model” and the lack of phrases such as “precision market timing” and “you can’t lose trading the stock market”, etc.

For now the trend is up.  A few things to keep an eye on appear in Figures 2 and 3.  Figure 2 displays four major averages.  Keep an eye to see if these averages break out to the upside (see here) or if they move sideways to lower.2Figure 2 – Four Major Market Averages (Courtesy AIQ TradingExpert)

In addition, I suggest following the 4 tickers in Figure 3 for potential “early warnings” – i.e., if the major averages hit new highs that are not confirmed by the majority of the tickers in Figure 3.3Figure 3 – Four potential “Early Warning” tickers  (Courtesy AIQ TradingExpert)

Bonds

My main “simple bond trend-following model” remains bearish.  As you can see in Figure 4, a buy signal for bonds occurs when the 5-week moving average for ticker EWJ (Japanese stocks) drops below its 30-week moving average and vice versa.4Figure 4 – Ticker EWJ 5-week and 30-week moving average versus ticker TLT (Courtesy AIQ TradingExpert)

A 2nd model using metals to trade bonds has been bullish of late but is close to dropping back into bearish territory.  Figure 5 displays the P/L from holding a long position of 1 t-bond futures contract ONLY when both the EWJ AND Metals models are bearish (red line) versus when EITHER model is bullish (blue line)5Figure 5 – T-bond futures $ gain/loss when EWJ OR Metals Models are Bullish (blue line) versus when EWJ AND Metals Models are both Bearish (red line); August 1990-present

Gold

My most basic gold trend-following model is still bearish.  This model uses my “Anti-Gold Index” (comprised of tickers GLL, SPX, UUP and YCS).  It is bullish for gold when a Front-Weighted Moving Average (detailed here) is below the 55-week exponential moving average and vice versa.6Figure 6 – Jay’s “Anti-Gold Index” versus ticker GLD (Courtesy AIQ TradingExpert)

Summary

So at the moment the stock model is bullish and the bond and gold models are bearish.  Are these trends certain to persist ad infinitum into the future?  Definitely not.  Will the models detailed here provide timely signals regarding when to get in or out the next time around?  Sorry, but it doesn’t always work that way with trend-following.

But as for me I prefer “riding the trend” to “predicting the future.”

Some painful lessons just stick with you I guess.

Jay Kaeppel

Disclaimer:  The data presented herein were obtained from various third-party sources.  While I believe the data to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  The information, opinions and ideas expressed herein are for informational and educational purposes only and do not constitute and should not be construed as investment advice, an advertisement or offering of investment advisory services, or an offer to sell or a solicitation to buy any security.

The Summer Rally (versus the Rest of Summer)

It is not a little known phenomenon that the stock market has demonstrated a seasonal tendency to rally during a specific time of the summer.  It is also not entirely unrecognized that the summer months are often a “snooze fest” for the stock market overall.  The catch of course is that results can vary widely from year-to-year.

Still, in looking for an “edge” wherever we can find one, it probably doesn’t hurt to know the difference between the “Summer Rally Period” and “The Rest of Summer.”

(See also The Post-Election/Year ‘7’ Bermuda Triangle)

The Summer Rally Period (SRP)

The SRP begins at the close on the fourth to last trading day of June and extends through the close on July trading day #9.  For 2017, that means buying at the close on 6/27/2017 and selling at the close on 7/14/17.

Is this really a good idea?  I’ll show you the numbers and you can make up your own mind (you know the old “We report, you decide” model, versus today’s more common journalistic model of “We decide and then we report our decision to you”). We will use the Dow Jones Industrials Average daily price data going back to 1934 for our test.

Here is the primary takeaway:

*$1,000 invested in the Dow ONLY during the 12-day SRP grew to $7,705

*$1,000 invested in the DOW ONLY during ALL OTHER trading days during the months of June, July and August declined to $962

To put it another way, during the SRP the Dow gained +671%, and during all other summer trading days lost -4%.  The difference between +671% and -4% is what we “quantitative types” refer to as “statistically significant”.

More numbers:

Measure Summer Rally Rest of Summer
Average %+(-) 2.7 0.2
Median % +(-) 2.9 0.2
Maximum Gain 21.1 22.7
Maximum Loss (12.6) (18.1)
# times UP 62 44
# time DOWN 21 39
% times UP 74.7 53.0
% time DOWN 25.3 47.0

Figure 1 – Summary Results

As you can see in Figure 1, the SRP has showed a gain roughly 3 out of 4 years, versus much closer to 50/50 for all other summer trading days.

Figure 2 displays the annual results for the Summer Rally Period and Figure 2 displays the annual result for all other trading days of summer.2Figure 2 – Summer Rally Period Yearly% +(-); 1934-20163Figure 3 – All Other Summer Trading Days (June/July/August) Yearly% +(-); 1934-2016

Figure 4 displays the growth of $1,000 invested in the Dow during the Summer Rally Period versus all other trading days of summer.4Figure 4 – Growth of $1,000 invested in Dow during Summer Rally  trading days ONLY (blue) versus all other trading  days for June/July/August; 1934-2016

(See also Four Things to Watch for Warning Signs)

Summary

So will the SRP in 2017 be one of 75% up years or one of the 25% down years?  Ah, there’s the rub.  There is no way to predict for sure. 75% represents good odds – but it  is no “sure thing”.  Still, the long-term results clearly seem to favor this narrow 12 day period, particularly vis a vis all other trading days of June, July and August.

Jay Kaeppel

Disclaimer:  The data presented herein were obtained from various third-party sources.  While I believe the data to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  The information, opinions and ideas expressed herein are for informational and educational purposes only and do not constitute and should not be construed as investment advice, an advertisement or offering of investment advisory services, or an offer to sell or a solicitation to buy any security.

Do You Think Apple Will Bounce?

Actually it is a two part question:

Question 1) Do you Apple (ticker AAPL) will bounce back to higher ground?

Question 2) Do you have 260 bucks?

AAPL has been a high flier for some time.  But as you can see in Figure 1, it recently hit a “bump in the road”.1Figure 1 – AAPL stumbles – A top or just a temporary setback? (Courtesy AIQ TradingExpert)

(See also Even More Summer Fun with Biotech and Real Estate)

What follows is not a “recommendation” but merely an example of “one way to play” for a trader who thinks that AAPL stock may bounce back to or above its old highs – but who doesn’t want to or cannot pony up the requisite $14,568 needed to purchase a “small” position of 100 shares.

The Out–of-the-Money Call Calendar

There are many potential variations of what I am about to show.  This should NOT be considered to be the “one best and only way.”  But hey, it’s one way.

Hypothetical Position:

*Buy 4 AAPL Sep15 160 calls @ $1.28

*Sell 4 AAPL Aug18 160 calls @ $0.70

If entered at this price, the total cost before commissions is $260. This also represents the maximum risk if AAPL fails to advance.

The particulars are displayed in Figure 2 and the “big picture” risk curves in Figure 3

2Figure 2 – AAPL Out-of-the-money calendar spread (Courtesy www.OptionsAnalysis.com)

3Figure 3 – Risk Curves for AAPL Out-of-the-money calendar spread (Courtesy www.OptionsAnalysis.com)

Now let’s “zoom in” a bit on “where this trade lives” (a phrase I first learned from Mitch Genser, a mentor of mine when I joined Optionetics a number of years ago).

What we are really looking for is for AAPL to (hopefully) bounce back up to its old high near $156 a share.  As you can see in Figure 4, if AAPL does get backup to this price prior to August option expiration on 8/18, the profit on this position will be somewhere between $160 and $630, depending on how soon that price is hit.  If AAPL rallies immediately the profit will be lower, if it takes its time the profit will be higher.  In this position, time decay works in the traders favor at any price above roughly $150 a share.4a

Figure 4 – Zooming in on the AAPL OTM Calendar (Courtesy www.OptionsAnalysis.com)

As with any trade a plan is essential for success.  So here is a hypothetical plan fitting a hypothetical trade:

  1. If AAPL breaks down we will simply hold on and risk the entire $260.
  2. If AAPL rallies to $156 we will either close the position and take our profit OR look to adjust the open position to lock in a profit and let the rest ride.

(See also The Sordid Past of Years Ending in ‘7’)

Summary

I have no opinion as to whether or not AAPL will rally between now and August 18.  But that’s not really the point of this example.  The point is this:

For a trader who thinks that a stock that has been in a strong uptrend before a short, sharp decline will bounce back, this example highlights one way to play without risking large amounts of capital

Jay Kaeppel

Disclaimer:  The data presented herein were obtained from various third-party sources.  While I believe the data to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  The information, opinions and ideas expressed herein are for informational and educational purposes only and do not constitute and should not be construed as investment advice, an advertisement or offering of investment advisory services, or an offer to sell or a solicitation to buy any security.

Even More Summer Fun with Biotech and Real Estate

In this article I highlighted the potential benefit of focusing on biotech and real estate during a particular favorable seasonal period during June and July.  Today we are going to extend the “summer fun” out a little longer.

(Be sure to see Three Timely Articles Worth Reading)

(See also Summer Leisure = Fun (and Dead Money))

The Extended Summer Fun Strategy

The rules are pretty simple:

*Hold biotech (FBIOX) and real estate (FRESX) – split 50/50 – from the close on June trading day number 17 through the close on July trading day #21

*Also hold biotech only (100%) from the close on August trading day #7 through the close on September trading day #9.

The results of this “strategy” (If one can call it that) appear in Figure 1.1Figure 1 – Growth of $1,000 invested in FBIOX and FRESX using Jay’s “Extended Summer Fun” Strategy

For the record:

Measure Result
# Years UP 24 (86%)
# Years DOWN 4 (14%)
Average All Years +8.3%
Average UP Year +10.1%
Average DOWN Year (-2.5%)
Best UP Year +22.7% (1999)
Worst DOWN Year (-7.7%) (2002)

Figure 2 – Summary Results

Year-by-Year Results Appear in Figure 3.

Year % +(-)
1989 12.4
1990 7.9
1991 15.2
1992 7.4
1993 6.3
1994 7.4
1995 8.1
1996 0.4
1997 13.5
1998 (0.8)
1999 22.7
2000 7.6
2001 (0.5)
2002 (7.7)
2003 18.1
2004 9.9
2005 12.3
2006 7.8
2007 2.4
2008 0.3
2009 21.0
2010 1.8
2011 10.5
2012 13.5
2013 19.5
2014 9.9
2015 (1.2)
2016 7.6

Figure 3 – Year-by-Year Results

(See also A Really (Really) Long-Term Perspective on Interest Rates)

Summary

So is this “Summer Fun Strategy” really a strategy?  That’s not for me to say.  As always, the stuff I write about here is presented as “information” and not as a “recommendation”.

The competing factors are:

*The long-term results have been pretty consistently good (86% winners)

*However, there is never any guarantee “this time around” AND biotech and real estate can be extremely volatile sectors.

So DO  NOT think of this as a “low risk” strategy.

Still, given that the overall stock market often does little during the summer months, we investors have to look for “fun” wherever we can find it.

Jay Kaeppel

 Disclaimer:  The data presented herein were obtained from various third-party sources.  While I believe the data to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  The information, opinions and ideas expressed herein are for informational and educational purposes only and do not constitute and should not be construed as investment advice, an advertisement or offering of investment advisory services, or an offer to sell or a solicitation to buy any security.

Summer Fun with Biotech and Real Estate

Studies suggest that buying an upside breakout can be a good strategy.  It sure can be scary though.  There is always that underlying fear of looking like “the last fool in” if the security in question experiences only a false breakout and then reverses back to the downside (and I hate it when that happens).  Still, for a stock to go from $50 to $100 it first has to go to $50.01, then $50.02, etc.

(See also Live by the FAANG, Die by the FAANG)

Buying into an impending breakout can be an even dicier proposition since this involves buying into what is essentially a “topping formation.”  I recently wrote about consolidation patterns in biotech and real estate.  These sectors appear to be getting closer to a resolution.  Consider tickers XBI (biotech ETF) and IYR (real estate ETF) as shown in Figure 1.

1Figure 1 – Biotech and Real Estate (Courtesy AIQ TradingExpert)

XBI appears to be breaking out to the upside – at least for now.  IYR is close to breaking out – however, one could look at it in an exactly opposite manner and claim that it is “running into resistance near the old highs and therefore may be forming a top.”

Ah, the eye of the beholder.

A Seasonal Play in Biotech and Real Estate

It is pretty widely known at this point that the summer months tend not to be very favorable for the stock market overall (although July of this year might be an exception to the rule).  But biotech and real estate often provide a summer trading opportunity.

The seasonally favorable period extends from:

*The close on June trading day #17 (6/23/2017 this year)

*Through the close on July trading day #21 (7/31/2017 this year)

Figure 2 displays the growth of $1,000 split evenly between ticker FBIOX (Fidelity Select Biotech) and ticker FRESX (Fidleity Select Real Estate) every since 1989 during this period.

2Figure 2 – Growth of $1,000 split between FBIOX and FRESX during seasonally favorable summer period (1989-2016)

Figure 3 displays a summary of the results since 1989.

Measure Result
# Years UP 22 (79%)
# Years DOWN 6 (21%)
Average All Years +3.3%
Average UP Year +5.0%
Average DOWN Year (-2.9%)
Best UP Year +14.9% (2009)
Worst DOWN Year (-4.3%) (2004)

Figure 3 – Summary Results

(See also One Good Reason NOT to Pick a Bottom in DIS)

One thing to  note is the lack of downside volatility despite the fact that both biotech and real estate can be quite volatile (worst down period was -4.3% in 2004).

Year-by-Year Results Appear in Figure 4.  For comparisons sake the annual performance for the Dow Jones Industrials Average (DJIA) during the same period is included.

Year FBIOX/FRESX DJIA Diff
1989 4.8 5.1 (0.3)
1990 2.8 2.1 0.7
1991 5.8 3.6 2.2
1992 7.0 3.2 3.7
1993 0.8 2.1 (1.3)
1994 (0.6) 1.8 (2.4)
1995 3.5 2.7 0.8
1996 (4.1) (4.1) 0.1
1997 2.9 6.4 (3.5)
1998 1.8 2.2 (0.5)
1999 4.4 (0.1) 4.5
2000 0.3 1.1 (0.8)
2001 (3.6) 0.1 (3.8)
2002 (1.5) (4.9) 3.4
2003 8.0 1.0 7.0
2004 (4.3) (2.9) (1.4)
2005 9.6 2.1 7.5
2006 4.0 1.8 2.2
2007 (3.2) (1.0) (2.1)
2008 6.7 (1.9) 8.6
2009 14.9 10.0 4.9
2010 2.0 1.6 0.4
2011 3.0 0.8 2.2
2012 5.7 4.0 1.7
2013 12.6 5.2 7.5
2014 1.1 0.4 0.7
2015 0.6 (2.2) 2.8
2016 8.6 2.3 6.2

Figure 4 – Annual Results for FBBIOX/FRESX during seasonally favorable  summer period versus Dow Jones Industrials Average

For the record,during the seasonally favorable summer period:

*The FBIOX/FRESX combo has outperformed the Dow in 19 out of 28 years.

*$1,000 invested in FBIOX/FRESX grew to $2,440

*$1,000 invested in the Dow Industrials grew to $1,505

Summary

So is biotech and real estate the place to be in the month ahead?  Well, that’s “the thing” about seasonal trends – there’s no way to know for sure what it’s going to be “this time around.”

On a cautionary note, it should be pointed out that the FBIOX/FRESX combo has registered a gain during the seasonal summer period – and outperformed the Dow – in each of the last 9 nine years.

So is it “Away We Go” or this the year that “Murphy’s Law” exacts its revenge?  As always, time will tell.

Jay Kaeppel

Disclaimer:  The data presented herein were obtained from various third-party sources.  While I believe the data to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  The information, opinions and ideas expressed herein are for informational and educational purposes only and do not constitute and should not be construed as investment advice, an advertisement or offering of investment advisory services, or an offer to sell or a solicitation to buy any security.

Live by the FAANG, Die by the FAANG

It’s been a heck of a run.  As you can see in Figure 1, if you were in the “right places at the right time” you did, um, pretty well for yourself.1Figure 1 – FAANG stocks “to the moon” (Courtesy AIQ TradingExpert)

The index in Figure 1 includes the following 9 tickers: AAPL, AMZN, FB, GOOG, MSFT, NFLX, NVDA, PCLN and TSLA

(See also The Post-Election/Year ‘7’ Bermuda Triangle)

As you can see in Figure 2, this particular grouping hit a bit of an air pocket in the last week.2aFigure 2 – “Trouble in Paradise?” (Courtesy AIQ TradingExpert)

So is that the top? As I am not good at predicting things, I will defer to my standard answer of “It beats me.”  But the real point can be summed up as follows:

*These stocks have driven the overall stock market higher in recent years.

*It can be argued that these stocks have “gone parabolic” (which is fun while it lasts but….)

*When these stocks finally start to break, history suggests that this will not be a positive development for the overall stock market.

In Figure 1, I have drawn a 30-week moving average. There is nothing magic about 30-weeks and an eventual drop below the 30-week average does NOT definitively imply that a bear market is underway.

But I would keep an eye on these stocks anyway.  Because if and when they do start to break in earnest, the overall stock market may be in a whole lot of trouble.

(See also One Good Reason NOT to Pick a Bottom in DIS)

Update on Warning Signs to Watch For

In this article I wrote about four tickers that might offer some “early warning” signs if trouble is coming in the stock market.  In general, there really are no “warning signs” yet as most of these hit new highs recently as you can see in Figure 3.3Figure 3 – Four Tickers to Watch (Courtesy AIQ TradingExpert)

I wouldn’t stop watching them though.  If these – and the FAANG stocks – falter, the time to turn defensive will be nigh.

Jay Kaeppel

Disclaimer:  The data presented herein were obtained from various third-party sources.  While I believe the data to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  The information, opinions and ideas expressed herein are for informational and educational purposes only and do not constitute and should not be construed as investment advice, an advertisement or offering of investment advisory services, or an offer to sell or a solicitation to buy any security.

A ‘Cheap’ Way to Hedge the Long Bond

Concerns regarding higher interest rates continue to run deep. But you wouldn’t know it from the recent action of the long-term treasury bond which rallied 8% in 3 months since bottoming in March.

What is the likelihood that bonds will reverse and head lower from here?  It beats me.  While my primary bond model is still bearish the truth is that predictions are not my strong suit.  Still, concerns remain. So if a trader or investor has concerns about the potential for lower bond prices and wants to do something about it, it raises the obvious question of “What?”

The truth is that there are many potential answers.  What follows is simply “one of them.”

(See also Playing the GDX ‘Coil’)

Figure 1 displays a weekly chart of ticker TLT with two admittedly arbitrary “resistance” levels drawn. There is nothing magic about these lines but they do connect a series of previous highs and suggest that we may be at a potentially critical juncture. In other words, a breakout to the upside could clear the way for a larger rally while a failure from these levels could result in another down leg for bond prices.1Figure 1 – TLT with potential resistance levels (Courtesy ProfitSource by HUBB)

Figure 2 simply shows a “zoomed in” weekly chart with the latest support and resistance levels drawn in order to identify potential “target” levels.  The goal is simple:

*We want to make money if TLT drifts back down towards the lower line (or below it)

*Without risking a lot of money in case TLT breaks out above the upper line

2Figure 2 – TLT with potential support and resistance levels (Courtesy ProfitSource by HUBB)

Whatever one expects regarding price direction, the fact is that – as we see in Figure 3 – the implied volatility for options on ticker TLT is at a multi-year low.  IV simply tells us whether there is a lot or a little (or somewhere in between) amount of time premium built into the options for a given security.  If IV is low it suggests that options are “cheap” and that strategies that buy option premium and/or that can benefit from a potential rise in IV are good strategy candidates.3Figure 3 – Implied volatility for TLT options at a multi-year low (Courtesy www.OptionsAnalysis.com)

Let’s look at one relatively simple example trade.

The Out-of-the-Money Put Calendar Spread

The example trade involves:

*Buying 15 August 119 puts @ $0.51

*Selling 13 July 119 puts @ $0.21

The particulars appear in Figure 4 (note this trade buys more puts than it sells.  This give the trade bearish directional bias).

4Figure 4 – TLT Out-of-the-Money Put Calendar Spread (Courtesy www.OptionsAnalysis.com)

Note that:

*The cost to enter this trade – and the maximum risk – is $492

*The trade has a “delta” of -103 which means it will act like a position holding short 103 shares of ticker TLT

*The IV for the option bought is 10.5% and 9.9% for the options sold

*The August options expire in 43 days, the Septembers in 71 days.  This means that in 43 days the August options will lose their entire time premium while the Septembers will still have 28 days of time premium left.

The risk curves for this trade appear in Figure 5.5Figure 5 – TLT Out-of-the-Money Put Calendar Spread

Note that because we hold more long options than short options the trade technically has unlimited profit potential.  However, the “peak” profit would occur if TLT closed at exactly $119 a share at August option expiration on July 21 (which -by the way – is NOT going to happen .

So the bottom line is simple:

*If TLT rallies this trade could lose -$492

*If TLT declines this trade can generate a profit of, of, of, well, it depends.  It depends on how far TLT falls and when the trade is exited. So there is another decision to be made somewhere down the road regarding when to get out if TLT falls.

But there is more.

The Potential Benefit of Buying “Cheap” Options  

As noted above, this example trade was highlighted precisely because it can benefit if implied volatility rises after the trade is entered.  Typically IV levels rise when fear rises as speculators rush to buy options to hedge.  So let’s take a look at what might happen if TLT shares fell, triggering a not unrealistic rise of 30% in IV levels (i.e., from roughly 10% to roughly 13%) as traders rush to buy options to hedge their long bond positions.

The new, adjusted risk curves appear in Figure 6.6Figure 6 – Risk curves if implied volatility rises from 10% to 13% after trade is entered (Courtesy www.OptionsAnalysis.com)

Note the difference between the curves in Figure 6 versus Figure 5.  All of the risk curves have shifted higher – i.e., to the right on the chart.  In other words, a rise in IV can and would likely generate a higher profit for this trade if in fact TLT shares fall and that decline is accompanied by higher IV levels.

For the record, this is due to the fact that longer-term options hold more “Vega” (more on this in a moment) than shorter-term options.  The Greek term “Vega” in option trading tells you how much a given option (or combined trade) will gain if implied volatility rises 1 full percentage point.

A close review of Figure 4 reveals that the August 119 put had a Vega of 13.4 and the short July 119 put had a Vega of -7.8.  So in theory:

*If IV rises 3 full percentage points each August 119 put will gain $40.20 (13.4 x 3) while each July119 put will lose -$23.40 (-7.8 x 3). Remember also that in this example trade we are long 15 of the August 119 puts and short only 13 of the July 119 puts.

(See also It’s Soon or Never for Bonds)

Summary

Does this whole thing have a point?  The point is that if you are concerned about the risk of higher interest rates (and in turn, lower bond prices):

a) It is possible to construct a relatively low priced hedge

b) That that hedge can risk less than $500

c) That it can make that much or more if TLT sinks back to a previous support level

d) That additional profit potential is possible if implied volatility rises from its current very low level.

While the fact of the matter is that bonds could easily rally and saddle this trade with a loss from the get go – and ultimately suffer a 100% loss of the $492 spent to enter the trade – that’s still a lot for a trade to potentially offer.

As always, the information presented here is intended to be educational and not a recommendation.

Jay Kaeppel

Disclaimer:  The data presented herein were obtained from various third-party sources.  While I believe the data to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  The information, opinions and ideas expressed herein are for informational and educational purposes only and do not constitute and should not be construed as investment advice, an advertisement or offering of investment advisory services, or an offer to sell or a solicitation to buy any security.

One Good Reason NOT to Pick a Bottom in DIS

A better title for this article might be “How to Avoid Losing 98% in Disney.”

The recent dip in the price of Disney stock may ultimately prove to be a buying opportunity.  But for reasons detailed below I am going to let this one pass.

If you have read my stuff in the past you know that I look a lot at seasonal trends.  This is especially true for sectors and commodities – which in some cases can be tied to recurring fundamental factors.  I have occasionally looked at individual stocks (here and here and here), but tend to think that an individual company’s fundamentals can change so drastically over time that a persistent seasonal trend is less likely.

It appears that there are exceptions to every rule.

In Figure 1 below we see that after a strong run up from its 2009 low, Disney finally topped out in August of 2015. Since that time it’s been a string of large moves up and down – with the latest being down. This might prompt one to consider the latest dip as a buying opportunity.  And in fact, maybe it is. But I won’t be making that play myself based simply on a seasonal trend in DIS stock that was highlighted by Brooke Thackray in his book Thackray’s 2017 Investor’s Guide.0Figure 1 – Is latest dip in DIS a buying opportunity?  Maybe, but history suggests we look elsewhere….(Courtesy AIQ TradingExpert)

(See also The Post-Election/Year ‘7’ Bermuda Triangle)

When NOT to Own Disney Stock

In his book, Thackray highlights the period from June 5th through the end of September as an “unfavorable” period for DIS stock.  He also listed a specific “favorable” period that I’ll not mention here.  For purposes of this article I made the following changes:

*The “unfavorable” period begins at the close on the 5th trading day of June and ends at the close on the last trading day of September.

*The rest of the year – i.e., end of September until the close on the 5th trading day of June – is considered the “favorable” period.

Also, the test uses price data only.  No dividends are included nor is any interest assumed to be earned while out of DIS stock.

The results are fairly striking.  From the end of 1971 through the end of 2016:

*$1,000 invested in DIS on a buy-and-hold basis grew +8,042% to $81,422 (average annual +/- = +15.8%)

*$1,000 invested in DIS only during the “favorable” period grew +430,874% to $4,309,735 (average annual +/- = +25.0%)

*$1,000 invested in DIS only during the “unfavorable” period declined -98% to $18.89 (average annual +/- = (-6.9%))

It’s sort of hard to ignore the difference between +430,784% and -98%.

Figure 1 displays the cumulative performance during the unfavorable period from 1971 through 2016.1Figure 1 – Growth of $1,000 invested in DIS only from close of June Trading Day #5 through the end of September (1971-2016)

Figure 2 displays the growth of $1,000 during the favorable period (blue line) versus a buy-and-hold approach (red line).2Figure 2 – Growth of $1,000 invested in DIS only from the end of September through June Trading Day #5 (blue) versus Buy-and-Hold (red); 1971-2016

*The favorable period showed a net gain in 39 out of 45 years (87%)

*The unfavorable period showed a net gain in only 13 out of 45 years (29%)

*Buy-and-hold showed a net gain in 28 out of 45 years (62%)

Figure 3 displays year-by-year results.

Year Favorable Unfavorable Buy/Hold
1972 78.1 (3.5) 71.9
1973 (53.5) (12.0) (59.1)
1974 4.4 (56.4) (54.4)
1975 175.6 (12.4) 141.5
1976 5.2 (6.9) (2.0)
1977 (28.2) 19.1 (14.4)
1978 4.6 (3.3) 1.2
1979 1.2 10.5 11.9
1980 20.8 (5.8) 13.8
1981 42.8 (28.7) 1.9
1982 16.0 4.4 21.1
1983 (5.7) (11.6) (16.7)
1984 25.6 (9.6) 13.6
1985 94.4 (3.3) 88.0
1986 98.3 (23.0) 52.8
1987 14.6 20.1 37.6
1988 4.2 6.5 10.9
1989 32.7 28.3 70.3
1990 28.4 (29.4) (9.3)
1991 14.4 (1.5) 12.8
1992 51.3 (0.7) 50.2
1993 16.0 (14.5) (0.8)
1994 23.2 (12.4) 7.9
1995 27.7 0.3 28.0
1996 18.4 0.0 18.4
1997 43.3 (0.9) 41.9
1998 36.9 (33.6) (9.1)
1999 15.8 (15.8) (2.5)
2000 4.0 (4.8) (1.1)
2001 23.6 (42.1) (28.4)
2002 12.6 (30.1) (21.3)
2003 50.9 (5.2) 43.0
2004 28.9 (7.6) 19.2
2005 (2.5) (11.6) (13.8)
2006 41.8 0.8 43.0
2007 (6.2) 0.4 (5.8)
2008 (24.4) (7.0) (29.7)
2009 29.1 10.1 42.1
2010 16.1 0.2 16.3
2011 30.4 (23.4) (0.0)
2012 15.9 14.6 32.8
2013 54.3 (0.6) 53.4
2014 17.2 5.2 23.3
2015 20.4 (7.3) 11.6
2016 5.0 (5.6) (0.8)
2017 ? ? ?
# Years UP 39 13 28
# Years DOWN 6 32 17
Average % +/- 25.0 (6.9) 15.8

Figure 3 – Year-by-Year Results

(See also The Ultimate “Sell in May” Sector)

Summary

Brooke Thackray found an extremely interesting and robust “unfavorable” seasonal trend in DIS stock.  Of course none of the data above guarantees that DIS stock is doomed to languish and/or decline in the months ahead.  But I for one do not intend to “buck the odds” and play the long side of DIS for a while.

Jay Kaeppel

Disclaimer:  The data presented herein were obtained from various third-party sources.  While I believe the data to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  The information, opinions and ideas expressed herein are for informational and educational purposes only and do not constitute and should not be construed as investment advice, an advertisement or offering of investment advisory services, or an offer to sell or a solicitation to buy any security.