Category: Your Money

Index Update 02.10.2015

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 2015-10-01 png

index momentum best 50 2015-10-01 png

index momentum worst 365 2015-10-01 png

index momentum worst 50 2015-10-01 png

Relative Strength Spread

CNX_500 relative-spread-index 50 2015-10-01 png

Refactored Index Performance

50-day performance, from July 22, 2015 through October 01, 2015:

Trend Model Summary

Index Signal % From Peak Day of Peak
CNX AUTO SHORT
15.03
2015-Jan-27
CNX BANK SHORT
16.57
2015-Jan-27
CNX COMMODITIES LONG
38.24
2008-Jan-04
CNX CONSUMPTION SHORT
7.34
2015-Aug-05
CNX ENERGY LONG
36.33
2008-Jan-14
CNX FMCG LONG
10.30
2015-Feb-25
CNX INFRA LONG
54.62
2008-Jan-09
CNX IT SHORT
87.57
2000-Feb-21
CNX MEDIA SHORT
18.02
2008-Jan-04
CNX METAL LONG
69.95
2008-Jan-04
CNX MNC SHORT
9.50
2015-Aug-10
CNX NIFTY SHORT
11.62
2015-Mar-03
CNX PHARMA SHORT
4.99
2015-Apr-08
CNX PSE LONG
35.62
2008-Jan-04
CNX PSU BANK SHORT
42.81
2010-Nov-05
CNX REALTY SHORT
90.62
2008-Jan-14
CNX SERVICE SHORT
10.92
2015-Mar-03
Dispersion is around its all-time lows – momentum algos will be struggling to find a toe-hold. Besides, the only thing that has worked in the last few months is long-only pharma and IT – both long USD trades.

Correlation Update 02.10.2015

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.

Monthly Recap: Good Investing Hurts

world.2015-08-31.2015-09-30

Equities

Major
DAX(DEU) -5.84%
CAC(FRA) -4.25%
UKX(GBR) -2.98%
NKY(JPN) -5.88%
SPX(USA) -2.58%
MINTs
JCI(IDN) -5.43%
INMEX(MEX) -2.18%
NGSEINDX(NGA) +5.16%
XU030(TUR) -1.22%
BRICS
IBOV(BRA) -3.23%
SHCOMP(CHN) -4.78%
NIFTY(IND) +0.24%
INDEXCF(RUS) -5.20%
TOP40(ZAF) +1.20%

Commodities

Energy
Brent Crude Oil -8.90%
Ethanol +4.85%
Natural Gas -5.45%
RBOB Gasoline -15.74%
WTI Crude Oil -5.77%
Heating Oil -7.15%
Metals
Gold 100oz -1.51%
Platinum -9.61%
Copper +2.15%
Silver 5000oz -0.68%
Palladium +8.89%

Currencies

USDEUR:+0.68% USDJPY:-0.80%

MINTs
USDIDR(IDN) +4.31%
USDMXN(MEX) +1.02%
USDNGN(NGA) +0.17%
USDTRY(TUR) +3.91%
BRICS
USDBRL(BRA) +8.66%
USDCNY(CHN) -0.34%
USDINR(IND) -1.38%
USDRUB(RUS) +2.21%
USDZAR(ZAF) +4.24%
Agricultural
Coffee (Arabica) +0.21%
Wheat +6.04%
Coffee (Robusta) -1.52%
Orange Juice -18.53%
Soybean Meal -4.62%
White Sugar +8.38%
Cattle -13.66%
Lumber -3.66%
Soybeans -0.61%
Cocoa +2.59%
Corn +5.98%
Cotton -7.19%
Feeder Cattle -11.86%
Lean Hogs +7.97%
Sugar #11 +20.58%

Credit Indices

Index Change
Markit CDX EM -2.28%
Markit CDX NA HY -2.05%
Markit CDX NA IG +7.87%
Markit iTraxx Asia ex-Japan IG +2.50%
Markit iTraxx Australia +9.68%
Markit iTraxx Europe +13.38%
Markit iTraxx Europe Crossover +66.06%
Markit iTraxx Japan +5.91%
Markit iTraxx SovX Western Europe -2.27%
Markit LCDX (Loan CDS) +0.00%
Markit MCDX (Municipal CDS) +0.97%
A painful month for the markets finally came to an end with a relief rally. Chinese rebalancing away from an investment driven economy to a consumption driven one is forcing a new economic world order. And just when things seemed to be improving in Europe, the Volkswagen scandal hit and dragged everybody down. Investors seem to have quit pretty much every risk-asset…

International ETFs

This gives you an idea of how widespread the carnage was. India was one of the few markets that managed to end September in the green.
global.etf.performance.2015-08-31.2015-09-30

Gold

US rate hike jitters has pushed precious metals down for most of this year. With 2010’s hyper-inflation fears morphing into 2015’s deflation, gold has seen a massive sell-off…
gold futures usd september

Oil

Saudi’s kept the pump running, hoping to drive US shale operators out of business. But slowing global growth and an appreciating US Dollar might have had a bigger impact on oil prices…
oil wti futures usd september

US Dollar

usd september

Nifty Heatmap

CNX NIFTY.2015-08-31.2015-09-30

Index Returns

index.performance.2015-08-31.2015-09-30

Market Cap Decile Performance

Decile Mkt. Cap. Adv/Decl
1 (micro) -1.65% 68/63
2 -0.57% 71/59
3 -1.01% 61/69
4 +0.97% 64/67
5 +0.84% 68/62
6 -2.22% 60/71
7 -1.06% 63/68
8 +1.48% 62/68
9 +0.03% 67/64
10 (mega) -2.04% 64/67
Large caps bore the brunt of the selloff…

Top Winners and Losers

SRTRANSFIN +13.78%
RPOWER +14.67%
RELCAPITAL +19.59%
MOTHERSUMI -24.10%
BHARATFORG -22.29%
BOSCHLTD -16.47%
Auto stocks got shellacked because nobody knows how deep the Volkswagen scandal runs…

ETF Performance

BANKBEES +0.16%
NIFTYBEES -0.82%
GOLDBEES -1.82%
JUNIORBEES -2.38%
CPSEETF -3.21%
PSUBNKBEES -4.22%
INFRABEES -6.32%
Hopefully, the 50bps rate cut will breathe some life into these…

Yield Curve

yieldCurve.2015-08-31.2015-09-30

Bond Indices

Sub Index Change in YTM Total Return(%)
0 5 -0.28 +1.35%
5 10 -0.23 +1.85%
10 15 -0.15 +1.77%
15 20 -0.21 +2.54%
20 30 -0.20 +2.77%
Bonds rallied on the back of rate cuts. Is the bulk of the move done?

Investment Theme Performance

Equity Mutual Funds

Bond Mutual Funds

Foreign Institutional Investments

fii-investments.2014-01-01.2015-09-30

Domestic Institutional Investments

dii-investments.2014-01-01.2015-09-30

Thought to sum up the month

There are four types of investment returns:

  • Consistently bad.
  • Mostly bad and occasionally good.
  • Mostly decent and occasionally good.
  • Consistently good and fraudulent.

Look at the long-term history of great investors, and you’ll find they occupy the third category.

Source: Good Investing Hurts

The Problem with Dynamic P/E Funds

Executive Summary

Dynamic P/E funds use the market Price-to-Equity ratio to decide on allocation. If the P/E ratio is deemed too high, they allocate more to bonds or arbitrage strategies and if the P/E ratio is low, they allocate more towards equities. This logic sounds good on paper. However,

  1. The market always appears expensive around turnarounds – investors miss out on the recovery trade.
  2. The market always appears cheap during downturns – investors end up being long equities when bonds tend to outperform.
  3. It doesn’t protect against volatility as a pure-play bond fund would (bad fit if you are risk-averse.)
  4. It doesn’t give you the returns of a pure-play equity fund (bad fit if you are risk-seeking.)
  5. Since it dampens volatility, it doesn’t make sense to dollar-cost-average (bad fit if your looking for an SIP.)

It is a solution looking for a problem.

Analysis

We thank Franklin Templeton for running the Dynamic PE Ratio Fund Of Funds to perform our analysis. This is probably the only fund where a true apples-to-apples comparison can be made between a pure-play equity fund, a pure-play bond fund and a dynamic PE fund.

The Dynamic PE fund invests x% in the Franklin India Short Term Income Plan and 100-x% in the Franklin India Bluechip Fund based on the P/E ratio. All we have to do is look at how a buy-and-hold strategy of the components compare to the Dynamic PE fund to gauge the effectiveness of the strategy.

Dynamic PE vs. pure-play Equity

Between 2007-01-02 and 2015-09-23, Franklin India Dynamic PE Ratio Fund of Funds-Growth’s IRR was 10.93% vs. Franklin India Bluechip Fund-Growth’s IRR of 11.53%

Franklin India Dynamic PE Ratio Fund of Funds vs. Franklin India Bluechip Fund

drawdowns dyn pe vs. bluechip

Similar returns. Lesser drawdowns. Lump-sum investors will probably be fine with these returns.

Dynamic PE vs. pure-play Bonds

First, let’s compare the Dynamic PE fund to the Short Term Income Plan.

Between 2007-01-02 and 2015-09-23, Dynamic PE Ratio had an IRR of 10.93% vs. Short-Term Income Plan’s IRR of 9.49%

drawdowns dyn pe vs. liquid fund

For investors worried about drawdowns, just investing in the liquid fund would have given similar returns with a lot less risk. A 35% drawdown is a lot for a fund that gives bond-like returns.

A bond fund like the Birla Sun Life Dynamic Bond Fund, for example, had an IRR of 9.65% over the same time period

Conclusion

Using the P/E ratio for asset allocation is a bad idea. Investors would have experienced similar returns but with smaller drawdowns if they had invested in a regular bond fund instead.

Related: Dynamic PE Funds

Index Update 25.09.2015

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 2015-09-24 png

index momentum best 50 2015-09-24 png

index momentum worst 365 2015-09-24 png

index momentum worst 50 2015-09-24 png

Relative Strength Spread

CNX_500 relative-spread-index 50 2015-09-24 png

Refactored Index Performance

50-day performance, from July 16, 2015 through September 24, 2015:

Trend Model Summary

Index Signal % From Peak Day of Peak
CNX AUTO SHORT
15.15
2015-Jan-27
CNX BANK LONG
16.34
2015-Jan-27
CNX COMMODITIES SHORT
38.78
2008-Jan-04
CNX CONSUMPTION SHORT
9.43
2015-Aug-05
CNX ENERGY SHORT
37.64
2008-Jan-14
CNX FMCG LONG
12.60
2015-Feb-25
CNX INFRA SHORT
55.65
2008-Jan-09
CNX IT LONG
87.48
2000-Feb-21
CNX MEDIA SHORT
18.71
2008-Jan-04
CNX METAL SHORT
69.33
2008-Jan-04
CNX MNC SHORT
10.28
2015-Aug-10
CNX NIFTY SHORT
12.54
2015-Mar-03
CNX PHARMA LONG
7.26
2015-Apr-08
CNX PSE SHORT
36.45
2008-Jan-04
CNX PSU BANK LONG
41.91
2010-Nov-05
CNX REALTY LONG
90.96
2008-Jan-14
CNX SERVICE LONG
11.70
2015-Mar-03
Relative strength spread continues to be in negative momentum territory. Contrarians can use this moment to load up on momentum strategies and ride the bounce…