Weekly Recap: How Mobile disrupted Airfreight

world.2015-05-15.2015-05-22

Equities

Major
DAX(DEU) +3.21%
CAC(FRA) +2.99%
UKX(GBR) +1.02%
NKY(JPN) +2.69%
SPX(USA) +0.34%
MINTs
JCI(IDN) +1.68%
INMEX(MEX) -0.92%
NGSEINDX(NGA) -0.49%
XU030(TUR) -2.35%
BRICS
IBOV(BRA) -5.07%
SHCOMP(CHN) +8.10%
NIFTY(IND) +2.38%
INDEXCF(RUS) -1.53%
TOP40(ZAF) -0.10%

Commodities

Energy
Ethanol -6.26%
WTI Crude Oil +0.69%
Heating Oil -2.32%
Natural Gas -4.60%
RBOB Gasoline +0.78%
Brent Crude Oil -1.96%
Metals
Gold 100oz -0.95%
Palladium -1.45%
Platinum -1.95%
Copper -4.41%
Silver 5000oz -2.29%

Currencies

USDEUR:+3.96% USDJPY:+1.85%

MINTs
USDIDR(IDN) +0.57%
USDMXN(MEX) +1.67%
USDNGN(NGA) +0.76%
USDTRY(TUR) +0.86%
BRICS
USDBRL(BRA) +3.75%
USDCNY(CHN) -0.15%
USDINR(IND) +0.01%
USDRUB(RUS) +1.27%
USDZAR(ZAF) +1.00%
Agricultural
Feeder Cattle +0.59%
Orange Juice +5.82%
Soybean Meal +0.30%
Soybeans -2.83%
Sugar #11 -4.12%
Wheat +0.98%
White Sugar -4.33%
Cattle -0.21%
Cocoa +2.18%
Coffee (Arabica) -7.87%
Coffee (Robusta) -3.06%
Corn -1.37%
Cotton -5.07%
Lumber +14.50%
Lean Hogs +0.66%

Credit Indices

Index Change
Markit CDX EM +0.21%
Markit CDX NA HY -0.07%
Markit CDX NA IG +0.44%
Markit iTraxx Asia ex-Japan IG -3.17%
Markit iTraxx Australia -0.76%
Markit iTraxx Europe -0.88%
Markit iTraxx Europe Crossover -6.29%
Markit iTraxx Japan -1.17%
Markit iTraxx SovX Western Europe -0.04%
Markit LCDX (Loan CDS) +0.00%
Markit MCDX (Municipal CDS) +1.77%
A moment of silence to whoever shorted the market thinking the NIFTY will go to 7600. May your capital rest in peace.

Nifty Heatmap

CNX NIFTY.2015-05-15.2015-05-22

Index Returns

For a deeper dive into indices, check out our weekly Index Update.
index performance.2015-05-15.2015-05-22

Sector Performance

sector performance.2015-05-15.2015-05-22

Advance Decline

advance.decline.line2.2015-05-15.2015-05-22

Market Cap Decile Performance

Decile Mkt. Cap. Adv/Decl
1 (micro) -1.51% 66/62
2 -0.05% 69/59
3 +2.14% 76/51
4 +2.33% 73/55
5 +2.22% 72/55
6 +1.23% 69/59
7 +2.07% 62/66
8 +2.42% 68/59
9 +1.44% 68/60
10 (mega) +2.14% 61/67
Ob-La-Di, Ob-La-Da…

Top Winners and Losers

ADANIENT +7.59%
HCLTECH +7.69%
TECHM +7.88%
TATASTEEL -6.26%
BHARATFORG -3.69%
OIL -3.58%
Tech broke through disappointing results while investors were served a reminder of the problems plaguing old-economy stocks…

ETF Performance

CPSEETF +1.97%
NIFTYBEES +1.73%
JUNIORBEES +1.66%
INFRABEES +1.05%
BANKBEES +0.98%
PSUBNKBEES -0.66%
GOLDBEES -0.91%
Look at the divergence between BANKBEES and PSUBNKBEES…

Yield Curve

yield Curve.2015-05-15.2015-05-22

Bond Indices

Sub Index Change in YTM Total Return(%)
GSEC TB -0.18 +0.20%
GSEC SUB 1-3 -0.01 +0.33%
GSEC SUB 3-8 -0.04 +0.42%
GSEC SUB 8 -0.04 +0.56%
Lower inflation + tepid economy = rate cut?

Investment Theme Performance

Equity Mutual Funds

Bond Mutual Funds

Thought for the weekend

From the mid-1980’s when PC’s and other hi-tech products first started being assembled in Asia, in places like Taiwan, Hong Kong, Singapore, Thailand and Malaysia, through 2010, after China had achieved the dominant manufacturing position it holds, the airfreight markets became increasingly reliant on the market for getting hi-tech goods built and assembled in Asia to North America and also to Europe.

The iPads and other Android-based and Windows-devices both usurped and combined many of the functions previously reserved for the PC platform or other dedicated electronic devices. Emerging from the Great Recession, these increasingly smaller, more powerful, alternative devices with their myriads of “apps” began to offer multiple capabilities on one platform that delivered capabilities which had previously taken multiple devices to deliver. This factor also significantly changed the dynamics of the airfreight markets.

Source: Avondale Asset Management

Index Update 23.05.2015

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 2015-05-22 png

index momentum best 50 2015-05-22 png

index momentum worst 365 2015-05-22 png

index momentum worst 50 2015-05-22 png

Refactored Index Performance

50-day performance, from March 10, 2015 through May 22, 2015:

Trend Model Summary

Index Signal % From Peak Day of Peak
CNX AUTO SHORT
5.69
2015-Jan-27
CNX BANK SHORT
10.32
2015-Jan-27
CNX ENERGY SHORT
29.07
2008-Jan-14
CNX FMCG SHORT
9.54
2015-Feb-25
CNX INFRA SHORT
49.37
2008-Jan-09
CNX IT SHORT
87.72
2000-Feb-21
CNX MEDIA SHORT
29.01
2008-Jan-04
CNX METAL SHORT
56.14
2008-Jan-04
CNX MNC SHORT
3.97
2015-Mar-12
CNX NIFTY SHORT
5.97
2015-Mar-03
CNX PHARMA SHORT
8.25
2015-Apr-08
CNX PSE SHORT
26.16
2008-Jan-04
CNX REALTY SHORT
89.23
2008-Jan-14
Pharma and banks seem to be perking up.
And boy-oh-boy! MNCs have more or less covered their draw-down.

Correlation Update 23.05.2015

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.

Practical Momentum – Conclusion

Recap

We began the exploration of a practical way to execute momentum using derivatives. We found that:

  1. A lookback period of one year works best (Part I)
  2. Because of survivorship bias, long-short underperforms long-only (Part II)
  3. Hedging with single-name put options doesn’t work(Part III)
  4. Larger long-only portfolios have smaller drawdowns and better performance than smaller long-only portfolios (Part III)

Conclusion

The way things stand, Momentum is best executed using a broad basket of stocks. There is no mechanical way to maintain a momentum driven derivative portfolio. You can explore long-only equity momentum here.

Practical Momentum Part III – Hedging

Introduction

In Part II of our Practical Momentum series, we saw how adding a volatility adjustment significantly improved portfolio returns. However, we were left with a nagging observation that long-only returns were much higher than long-short returns. The problem with a long-only futures portfolio is that draw-downs can wipe you out. But what if we hedged the portfolio?

You can hedge a portfolio in two ways: (a) buy individual put options, and (b) calculate the beta of the portfolio and short an appropriate multiple of NIFTY futures. The problem with option (b) is that it will not protect you against idiosyncratic risk. For example, say you are long a pharma stock and the USFDA issues an import alert, the stock will tank irrespective of the NIFTY. So for the purposes of this simulation, we will try option (a)

Hedged Long-Only Momentum

With 5 long-futures hedged with long put-options below the purchase price:

black line shows long-only; red shows hedged long-only

hedged.momentum

A portfolio hedged with single-name put options performs poorly:

  • There is always a d between the option payout and the underlying
  • ?-decay eats away more of the option value than the protection it offers

Another way to make draw-downs shallower is to diversify. When we increased the number of stocks in our long-only equity momentum portfolio from 10 to 20, it reduced portfolio volatility and boosted returns. Here’s how a 10-count long-only momentum portfolio compares with the 5 from above:

black line shows a 5-item long-only portfolio returns; red shows 10
five10.momentum

Conclusion

The problem with leveraged momentum is that losses can wipe you out. Hedging it with single-name options doesn’t work. Are we stuck with unlevered momentum? We will explore this in the next post. Stay tuned!