Short Butterflies with a Delayed Fuse

Delayed Entry

In our previous post, we saw how a mechanical expiry-to-expiry short-call NIFTY butterfly with a stop-loss significantly outperformed a non-stop-loss strategy. However, the odds that a stop-loss would be triggered was almost 50%.

In our introductory post on butterflies, we had noted how the strategy P&L gets “pulled” as we get closer to expiry. This implies that during the first half of the trade, the position sits idle. However, the underlying NIFTY index could have already made its move out of the wings and could be on its way back to the center. To avoid this, we can delay entry until, say, 10 days have passed since expiry.

Returns with stop-loss and delayed entry

butterfly.returns.SL.10d.NIFTY

short call nifty butterfly 10day delay
The odds of a stop-loss being hit remained the same. Even though the total return improved, when you look at the yearly rollups, the hit-rates are sub-par.

Conclusion

Although on the face of it, selling butterflies on the NIFTY sounds attractive – NIFTY is a volatile index and a rising NIFTY will make the moves required for a profitable trade lower – a mechanical backtest did not lead to a strategy that could be applied on an on-going basis.

Weekly Recap: The Side-Effect of Socialism

world.2015-07-03.2015-07-10

Equities

Major
DAX(DEU) +2.33%
CAC(FRA) +1.97%
UKX(GBR) +1.33%
NKY(JPN) -3.70%
SPX(USA) -0.01%
MINTs
JCI(IDN) -2.49%
INMEX(MEX) -0.35%
NGSEINDX(NGA) -2.49%
XU030(TUR) +2.04%
BRICS
IBOV(BRA) -0.03%
SHCOMP(CHN) +5.18%
NIFTY(IND) -1.47%
INDEXCF(RUS) -0.47%
TOP40(ZAF) -0.30%

Commodities

Energy
WTI Crude Oil -4.88%
Brent Crude Oil -3.01%
Ethanol +1.60%
Heating Oil -3.34%
Natural Gas +0.11%
RBOB Gasoline +1.27%
Metals
Gold 100oz -0.63%
Palladium -4.98%
Copper -2.67%
Platinum -4.71%
Silver 5000oz +0.00%

Currencies

USDEUR:-0.53% USDJPY:+0.00%

MINTs
USDIDR(IDN) -0.04%
USDMXN(MEX) -0.03%
USDNGN(NGA) -0.75%
USDTRY(TUR) -0.90%
BRICS
USDBRL(BRA) +0.72%
USDCNY(CHN) +0.06%
USDINR(IND) -0.06%
USDRUB(RUS) +0.93%
USDZAR(ZAF) +1.10%
Agricultural
Coffee (Robusta) +0.16%
Soybean Meal +2.27%
Soybeans -0.19%
Sugar #11 +0.98%
Wheat -2.13%
White Sugar +0.59%
Cattle -2.51%
Cocoa +1.16%
Coffee (Arabica) -2.38%
Cotton -2.92%
Feeder Cattle -2.73%
Orange Juice +3.84%
Corn +1.55%
Lean Hogs +0.03%
Lumber +2.32%

Credit Indices

Index Change
Markit CDX EM -0.81%
Markit CDX NA HY -0.81%
Markit CDX NA IG +5.25%
Markit iTraxx Asia ex-Japan IG +11.27%
Markit iTraxx Australia +11.48%
Markit iTraxx Europe +7.27%
Markit iTraxx Europe Crossover +23.03%
Markit iTraxx Japan +7.04%
Markit iTraxx SovX Western Europe +2.68%
Markit LCDX (Loan CDS) +0.02%
Markit MCDX (Municipal CDS) +1.76%
I think the market has had enough of Greece and China. The next few weeks are going to be all about earnings and how badly companies are going to disappoint investors…

Index Returns

For a deeper dive into indices, check out our weekly Index Update.
index.performance.2015-07-03.2015-07-10

Market Cap Decile Performance

Decile Mkt. Cap. Adv/Decl
1 (micro) +7.34% 77/57
2 +6.18% 79/54
3 +7.31% 77/57
4 +5.66% 77/56
5 +4.21% 74/59
6 +2.25% 67/67
7 +1.04% 71/62
8 +1.12% 73/61
9 +0.60% 63/70
10 (mega) -1.05% 76/58
Large caps bled but midcaps seemed to buck the trend…

Top Winners and Losers

UNIONBANK +5.35%
RCOM +5.37%
CROMPGREAV +12.68%
VEDL -14.28%
CAIRN -7.86%
TATAMOTORS -7.21%
Tata Motors got pummelled by China worries.

ETF Performance

INFRABEES +2.48%
PSUBNKBEES +1.78%
JUNIORBEES +0.98%
BANKBEES +0.31%
GOLDBEES +0.13%
NIFTYBEES -0.90%
CPSEETF -1.82%
Who is buying PSU banks?

Yield Curve

yieldCurve.2015-07-03.2015-07-10

Thought for the weekend

The absence of free markets leads to competition for the market, which leads to competition for political office, which leads to the corruption of politics. That’s the basic story of crony capitalism — a side-effect of socialism.

Source: Socialism, Competition and Politicians

Index Update 11.07.2015

MOMENTUM

We run our proprietary momentum scoring algorithm on indices just like we do on stocks. You can use the momentum scores of sub-indices to get a sense for which sectors have the wind on their backs and those that are facing headwinds.

Traders can pick their longs in sectors with high short-term momentum and their shorts in sectors with low momentum. Investors can use the longer lookback scores to position themselves using our re-factored index Themes.

You can see how the momentum algorithm has performed on individual stocks here.

Here are the best and the worst sub-indices:

index momentum best 365 2015-07-10 png

index momentum best 50 2015-07-10 png

index momentum worst 365 2015-07-10 png

index momentum worst 50 2015-07-10 png

Relative Strength Spread

CNX_500 relative-spread-index 50 2015-07-10 png

Refactored Index Performance

50-day performance, from May 04, 2015 through July 10, 2015:

Trend Model Summary

Index Signal % From Peak Day of Peak
CNX AUTO SHORT
9.51
2015-Jan-27
CNX BANK LONG
8.93
2015-Jan-27
CNX COMMODITIES SHORT
28.96
2008-Jan-04
CNX CONSUMPTION LONG
2.44
2015-Apr-13
CNX ENERGY SHORT
27.21
2008-Jan-14
CNX FMCG SHORT
10.80
2015-Feb-25
CNX INFRA LONG
46.72
2008-Jan-09
CNX IT SHORT
88.69
2000-Feb-21
CNX MEDIA LONG
24.79
2008-Jan-04
CNX METAL LONG
60.32
2008-Jan-04
CNX MNC LONG
3.13
2015-Mar-12
CNX NIFTY LONG
7.07
2015-Mar-03
CNX PHARMA LONG
9.35
2015-Apr-08
CNX PSE LONG
25.36
2008-Jan-04
CNX PSU BANK LONG
37.25
2010-Nov-05
CNX REALTY SHORT
90.44
2008-Jan-14
CNX SERVICE LONG
8.97
2015-Mar-03
Finance and FMCG showed an uptick in momentum. However, the word of the week is “listless.” Expect most trend followers to lose discipline right about now…

Correlation Update 11.07.2015

Nifty one year daily return correlations

Nifty one year daily return correlations

Nifty one month daily return correlations

Nifty one month daily return correlations

Bank Nifty one year daily return correlations

Bank Nifty one year daily return correlations

Bank Nifty one month daily return correlations

Bank Nifty one month daily return correlations

Midcap one year daily return correlations

Midcap one year daily return correlations

Midcap one month daily return correlations

Midcap one month daily return correlations

A lot of thick blue squares mean that positive correlations are high. Red squares mean negative correlations are high. Whites are the doldrums.

Selling NIFTY Butterflies with Stop Loss

Stop loss

We saw earlier how infrequent but large losses in the short-call butterfly strategy can wipe out all the past profits earned. To figure out a stop-loss mechanism, we plotted individual expiry-to-expiry butterflies to find out how each one of them behaved. This data is available in the appendix below.

The stop-loss is set at 10 points (x lot-size) for the butterfly. But this kicks in only 10 days before the contracts expire (see how it gets “pulled” here.)

Returns comparison

Here’s the month-over-month returns of a mechanical short-call butterfly strategy with stop-loss:
butterfly.returns.SL.NIFTY

Here’s the month-over-month returns of a mechanical short-call butterfly strategy without stop-loss:
butterfly.returns.noSL.NIFTY

Because of the stop-loss, the frequency of losses increases but their magnitude decreases. However, stop-losses were hit about half the time.

With stop-loss:
butterfly returns with stop loss
Without stop-loss:
butterfly returns without stop loss

Summary

Applying a stop-loss to a mechanical expiry-to-expiry short call butterfly strategy on the NIFTY seems to enhance returns by cutting out infrequent but large losses. However, the frequency of wins seems low given that only two out of 5 years resulted in net profit. If you did not use a stop-loss, you would have larger gains and would have had more positive years. However, losses in 2010 and 2012 were enough to wipe out all profits and more.

Appendix

https://www.scribd.com/doc/271141815/Nifty-Butterfly