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Deutsche Bank
Equities
AAPL Trade Idea
November 2014
Pc ft, pe,e0m,
For U.S. Key Client Partners ("KCP") Clients Only
'• • roup
Institutional Use Only — Not for Retail Distribution
EFTA01116955
Apple stock price performance
I
Average stock price performance by day of week Statistical significance over time
AAPL's daily stock return
0.7% 2008 to 2010
has exhibited statistically — To test for statistical significance, we ran yearly
significant correlation to • APPle regressions of AAPL's daily stock returns versus whether
the day of the week since 0.5% • S&P 500 the day was a Friday or Monday
2011 — We calculated the p-value for the day variable
0.3% 0.25% — The p-value is a measure of the probability that the
Monday's outperformance 0.20% return is not correlated with the variable
L.,
0.16%
is greater and more 0.11% — For example, a p-value of 0.01 means there's only a 1%
statistically significant 0.1% chance that the return is not correlated with the variable
I
°
°6-
A
than Friday's — A lower p-value means more statistical significance
underperformance (0.00%)
(0.1%) 0.06%) — Monday's p-values declined since 2008 and the variable
(0.04%) showed very strong statistical significance since 2011
(0.17%)
(0.3%) — Friday's p-values also declined, but to a lesser extent and
Monday Tuesday Wednesday Thursday Friday have increased again in 2013 and 2014
Weekly options in
0.7% 2011 to Present AAPL
0.58% 0.80
o
Zrr (June 2010)
• Apple 0
0.5% - 0.70
• S&P 500
"it
0.60
0.30%
0.3% - 0.50
19% 0.
0.40 O
0.10% O
0.1% - 0.07%
0.30
0.20 C•I
O
(0.1%) - (0.02%) 0 0
(0.05%) 0.10
O
gr;
(0.01%) (0.13%) (0.16%)
0.00
ete q.tp-sb r6)
(0.3%)
Monday Tuesday Wednesday Thursday Friday
. Fticlay —a—Monday ti
Deutsche Bank Source: Bloomberg (for stock prices. dividend history, and index prices). as of November 3. 2014 2
Equities
EFTA01116956
Apple stock price performance (continued)
I
Value of Monday's outperformance vs S&P 500 Value of Friday's underperformance vs S&P 500
Trading this pattern would 900 900
have resulted in 800 800 -
significant gains with 700 700 -
limited downside risk
600 - 600 -
This analysis looks at 500 Weekly options in
500 - Weekly options en
trading AAPL stock and 400 AAPL list 400 - AAPL lest
(June 2010) (June 2010)
an equivalent value of the 300 300 -
S&P 500 beginning in 200 200 -
2008 100 100 -0 •"•••sarsa
0 0
Going long AAPL / short Gt. PO, ci.") AA At , A 41,
S&P 500 only on 004 C; C; c; Q&; it; eaci
Oe' O46 ° es Oes ge ge ge
Mondays produces the
largest gain — over 2x a
long/short strategy held Combined Friday / Monday performance vs S&P 500 Long AAPL and short S&P 500
over all days and over 3x 900 900 -
a short AAPUlong S&P 800 800 -
500 strategy on Fridays 700 -
700
600 600 -
Combining the two
strategies (Monday and 500 500 -
Weeky options in Weeky options it
Friday) results in even 400 AAPL 1;st 400 - AAPL Sst
300 (June 2010) 300 - (June 20':
greater returns
200 200 -
100 100
0 ! 0
CS\ @ 0 ,\I\ <k 0 6;:, 0 NA ".. ci
Oec c./
O121 Oe'
C.
ce oeci OeG
Oes° OeCi
0 04
0 6:
O
e' 004
Deutsche Bank This analysis locks at trading equal amounts of AAPL and S&P 500 from January 2.2008 till November 3. 2014. The returns of each strategy are compounded 3
Equities (ie. returns are reinvested back into the strategy) and both stock and index returns are calculated on a total return basis (ie. assuming dividends are reinvested).
Assumes no friction costs.
EFTA01116957
Overview of Weekly options
Weekly options in AAPL
stock began to be listed in • The CBOE launched Weekly options in October 2005. These were originally only on the
History S&P500
June 2010
• The CBOE expanded the product in June 2010 to include more underlyings
This coincides roughly • Since June 2010, Weekly options are listed before the open on Thursdays
with the development of
Listing • Currently, the AAPL Weeklys are part of the "expanded" program and have 6 expirations. A
the Friday / Monday
trading pattem new expiration is added every week
• When the CBOE introduced Weeklys, it stated that they would provide an "efficient way to
trade options specifically around certain news or events - such as economic data or earnings
announcements"
Purpose
• Trading options instead of stock is a convenient way to lever positions around events
• Unlike the broader market, trading in AAPL options is much more skewed towards calls than
puts
• We have found little evidence of institutional trading in these options
• This means the majority of trading is done by:
Trading
— High frequency traders
— Retail investors
Deutsche Bank 4
Equities
EFTA01116958
Analysis of OBOE AAPL option trading data(a)
Summary activity of directional market participants (i.e., retail investors)
Opening versus closing transactions for
The CBOE has data on - Since the Monday / Friday phenomenon directional market participantsm
each option trade and coincides with the listing of weekly options, 70%
designates the buyer and we focused on options with the shortest expiry 65%
seller of options as either 60%
"customer" or -firm". We it 55%
attribute "customer" — Consistent with a hypothesis that Monday's 2 50%
transactions to directional outperformance is due, at least in part, to 45%
retail investors, and "firm" retail investors initiating option positions, the
40°A.
transactions to hedged ° 35%
vast majority of directional option trades on 30%
market participants
Mondays were opening transactions 25%
201/
The dataset has certain Monday Tuesday Wednesday Thursday Friday
limitations: — In addition, the majority of the positions that
% of option trades that opened positions
- The CBOE is only one were opened were bullish transactions,
- — %of option trades that closed positions
of several exchanges which would have caused a hedged market
that list options (with participant to buy shares Bullish opens versus bearish opens for
-20% of total volume) directional market participantsm
- Market maker trades 50%
are excluded — By Friday, the majority of option trades were
closing transactions
L
40%
- The data does not have
time stamps (which it
it 30%
would have allowed us - Since the majority of option trades were
to see whether trading bullish positions, closing these positions
is clustered during a
a 20%
would have caused a hedged market
certain part of the day participant to sell shares 10%
and compare this to the
stock's intraday 0°/
behavior) Monday Tuesday Wednesday Thursday Friday
■ Bullish opens (buy calls / sell puts) • Bearish opens (sell calls / buy puts)
Deutsche Bank (a) Source: www.marketelataexpress.com. 5
Equities (b) From July 2010 to February 2014. Based on options with the shortest expiry.
EFTA01116959
Net "delta" in AAPL listed option market
DB analyzed every AAPL — Option traders will hedge their positions by trading in the underlying stock to maintain a "delta" neutral
listed option trade that position to stock price performance (i.e., sell calls and buy stock such that they are indifferent to changes
occurred from January in the stock price)
2013 to February 2014
— Looking at the net deltas of actual option activity shows that Fridays are more likely to see selling activity,
These trades were while Mondays are more likely to see buying activity
classified as bullish or ANerage net delta
bearish depending on On shares) % of days negative % of days positive
whether they traded at the Friday (99.292) 63.8% 36.2%
bid or the offer. So, for
Monday 131.618 39.7% 60.3%
example, a call that traded
on the offer side was Other (373.363) 56.0% 44.0%
deemed a bullish trade. — Even though the amount of stock is small relative to Apple's ADTV of 10 - 15mm shares, there is a strong
We ignored transactions correlation between this activity and the stock return on the relevant day of the week(a)
that traded at mid market
Fridays — return vs net delta Mondays — return vs net delta Other days — return vs net delta(b)
We then delta-weight this
activity to capture a 5%
directional view of the 4%
overall options market 3%
2%
1%
tc 0%
Co (1%) •
R2 = 0.7548 • •
(23t) • • **6 •
(3%) • • •
(4%)
0 500 1.000 (1,000) (500) O 500 1.000
Net delta (sold) bought Net data (sold) bought Net della (sold) bought
Deutsche Bank Source: tradealartcom 6
Equities (a) Based on January 1, 2013 to February 14. 2014
(b) The dataset includes some outliers (e.g.. earnings releases) that depress the R2. Excluding datapoints that have more than lmm shares of net delta or
absolute value of the return of greater than 5% results in a 0.57 R2
EFTA01116960
AAPL option volume analysis(a)
I
60-day moving average of Apple stock and option
60-day moving average volume in options (in 000s) volume (based on underlying shares)
Trading in AAPL options 1200
(calls and puts) has 600% 60
Weekbe option:, 11.fueic(/ upt,: ns
doubled from 2010 to AAPL Asf
1000 AAPL kst
June 2014 (June 2010) 500% 50
(June 20:0
s
800 400% 40
The underlying shares
that these options aa
600 300%
represent are larger than
the stock volume — delta
400 a ° 200%
adjusted, though, the
volume would be about
25-50% based on recent 200 100%
data
0 0% 0
Jan-08 Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-08 Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14
Apple's open interest as a Apple S8P500 -- Shares underlying options — AAPL stock volume
percent of its outstanding Ratio of calls to puts Top 10 S&P 100 companies by option open interest(b)
stock is higher than any
1.80x Oman open
i
other S&P 100 company 1.66x
MaMei cap [merest as % Ra:o ol calls
and its ratio of calls to 1.60x 1.43x 1.47x
1.34x Rack OEXlndex Company ol shares to pits
puts is higher than the 1.40x 1.28x 1 AAPL 1hV Equty Awe it 5479 27.4% 1.49x
1.18x 1.20x
broader market as well as 1.20x 2 FB UW Equily Fxebxk Inc $173 16.0% 1.61x
the average S&P 100 3 GOOG OW Equty Gorge Inc 5404 13.1% Lott
1.00x 4 GAI UN Equhy General lAotom Co $57 11.9%
company 5 CAT UN &iry Caterpillar he $61 11.5% Lou
0.80x 0.69x
0 61
0.59x 0.60 0.58x 0.61x 0.56x 6 APC UN Equty Anadarko Petroleum Cap 342 10.3% 216x
0.60x 7 AIAZN LW Equity Amazon.ccm he $160 9.2% 0.99x
0.40x
0.20x
0.00x
2008 2009 2010 2011 2012
•AAPL •S&P500
2013
I 2014
YTD
8 FCX UN Equity
9 HAL UN Ecady
FreeportAlcMoRan Copper 8 Gdd he
Hanlon Co
10 EBAY UW Eel* °Bay Inc
Menge - to 10
Menge all 100
$34
346
$71
8.7%
7.9%
7.6%
12.4%
3.7%
1.01x
1.28x
1.81x
1.37x
1.32a
Deutsche Bank Source: Bloomberg. 7
Equities (a) As of June 6. 2014
(b) Noe averaged over any time palled
EFTA01116961
Summary
/
— Apple's stock price does exhibit an abnormal trading pattern on Monday and Friday
— Monday's outperformance is more significant, and more consistent, than Friday's underperformance
— The pattern developed around 2011 coinciding with the listing of Weekly options on AAPL stock
— AAPL option trading is more significant than the option trading for other large companies
— Weekly options increased the amount of AAPL option trading volume
— The net "delta" of the options market (limited to what we classify as directional transactions), while small
relative to total liquidity, does correlate to the stock price performance
— Given all the above, along with the ratio of calls to puts, and the significant retail element to the listed
option market, we suspect the abnormal trading pattern could be explained by the following activity:
— Investors selling puts and strangles (a combination of out-of-the-money puts and calls) to generate
income
— Investors buying calls as a levered long equity investment
— Assuming this is the case, hedged market participants will be short calls on a net basis. Such participants
will need to purchase stock to hedge their stock price risk
— This may result in hedged investors purchasing stock on Mondays as positions are initiated, while selling
stock as their delta erodes on Fridays
— The change in open interest supports this as the open interest increases the most on Mondays and
decreases the most on Fridays
Deutsche Bank a
Equities
EFTA01116962
Strategy Implementation
I
Monday outperformance vs SPY Friday underperformance vs SPY
DB proposes a strategy
800 - 800
referencing the combined
700 Ann_ agium Volatility Sharpe Batto 700 Ann. Return Volatility Shame Ratio
return of the Friday and
138 to '10 11.5% 14.2% 0.81 '08 to '10 1.2% 14.6% 0.08
Monday trades with gains 600 '11 to Present 30.6% 11.5% 2.67 600 '11 to Present 13.4% 8.4% 1.59
or losses reinvested in the 500 500
strategy on a daily basis
400 400
(alternatively, a strategy
on Monday-only could 300 300
also be implemented) 200 200
100 100
Strategy will use SPY, the
0 0
SPDR S&P 500 ETF, to
replicate the S&P 500 0z) O O% O
mA O"cf cf O" '
total return O o° O°Q- O° o° o° O° O° O°Cr O° O°
Combined Friday / Monday performance vs SPY Annual Returns
Strategy assumes
dividends are reinvested 800 Ann. Return Volatility ShaiReitali0 80% • Monday
408 to 1 0 12.8% 19.9% 0.64
on the ex-date 700 - 70% - • Friday
'11 to Present 48.2% 12.5% 3.86 60% -
600 - 50% - • Combined
Strategy incorporates a
LI
40% -
transaction cost of 500 -
30% -
0.002% per execution on 400 - 20%
% -
notional amount executed 10 -
300 0%
200 - a -
-20%
100 2014
2008 2009 2010 2011 2012 2013
YTD
0 Monday -7.6% 27.3% 18.0% 33.1% 47.0% 23.5% 32.8%
5§ 4:$ Friday 16.8% -9.5% -1.7% 2.5% 19.5% 27.4% -0.1%
eP 4' O.c. e ct Oect Combined 8.0% 15.2% 15.9% 36.5% 75.7% 57.4% 32.7%
Deutsche Bank This Strategy assumes trading an equal dollar amount long and short (or short and long) of AAPL and SPY on each execution day and reinvesting the gains or 9
Equities tosses in the strategy. Source: Deutsche Bank. Bloomberg Finance L.P.. as of November 3. 2014
EFTA01116963
Disclaimer
I
Deutsche Bank (which includes Deutsche Bank AG, its branches and all affiliated companies) is not acting as your or any of your agents' (collectively, "You" or "Your")
financial adviser, consultant or fiduciary with respect to any information provided in the materials attached hereto. Deutsche Bank does not provide investment, legal, tax
or accounting advice and does not express any opinion or recommendation whatsoever as to any strategies, products or any other information presented in the
materials. Information contained herein is being provided solely on the basis that it has not and will not form a primary basis for any investment decision, and does not
constitute a recommendation, or express an opinion on, any product or service or any trading strategy.
The information contained herein is provided solely for Your internal use on the basis that You have such knowledge and experience in financial and business matters to be capable of
evaluating the merits and risks associated with such information. Investments in products and strategies described herein could incur substantial loss and may not be suitable for all
investors. Other alternatives may be available, including through other dealers. You should make an independent assessment, in consultation with Your tax, legal, accounting
and other advisors, of the information herein in light of Your own objectives and circumstances. The ultimate responsibility for Your decision to rely on information contained
herein rests solely with You.
The information herein has been compiled from sources believed to be reliable, including third party depositories and/or other information vendor sources, and may include calculations
based on algorithms (including inputs. methodology and output) that are designed. maintained and/or managed by third parties. Deutsche Bank does not guarantee the accuracy
and/or completeness of the information contained herein and shall not be held liable for any errors. omissions or misinterpretations.
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otherwise, in a manner that is inconsistent with information that is contained in the attached materials.
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Past Performance
The past performance of securities. indexes or other instruments referred to herein does not guarantee or predict future performance.
Deutsche Bank may hold positions
We or our affiliates or persons associated with us or such affiliates may: maintain a long or short position in securities referred to herein, or in related futures or options, purchase or
sell. make a market in. or engage in any other transaction involving such securities, and earn brokerage or other compensation.
019910 111114
Deutsche Bank 10
Equities
EFTA01116964
Disclaimer
BacktestiN
The backtesting results enclosed herein do not represent historical prices. The models reflects historical payout and doe
ℹ️ Document Details
SHA-256
49d2919a6c0c556e8d0915a1c71917307f66f27428854660008ab4f974c180e9
Bates Number
EFTA01116955
Dataset
DataSet-9
Type
document
Pages
11
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