Author: shyam

When Hot Money Turns Cold

EM Currencies

When capital flows into emerging markets, regulators are faced with a dilemma: They could raise rates and get a foreign credit boom, or cut rates and have a domestic credit boom. They chose door number 2. So emerging markets had big domestic credit parties. That ended last May when Bernanke said the Fed would soon start drawing down QE. Hot money ran for the door, currencies dropped, and the weakness that had been there all along became obvious.

Source: Everything You Need To Know About the Emerging Market Currency Collapse

But the problem really is where the flows go. If they go into new business development, creating jobs and economic activity that eventually is self-sustaining then they are to be welcomed. But if they go into real estate and/or construction (whether housing or infrastructure), or into funding consumer or government spending, then they could be blowing up potentially damaging bubbles. So the challenge is to determine when inward flows are helpful and when they are not. And this is not easy for governments to do.

Source: Capital Controls or Cooperation

The raw facts are that a remarkable amount of money has been pulled out of EM with indecent haste; and that this was the first emerging market sell-off to be conducted mostly through ETFs. They now account for about $300bn of the $1.3tn in emerging market equities. The total pulled out exceeded the sums that exited during the 2008 crisis, even before emergency rate rises in Turkey, India and South Africa. Emerging market ETFs suffered redemptions of $4.4bn (4.8% of their assets) last week. Over the past three months, they have shed 15.8% of their assets.

Source: Emerging markets are badly served by ETFs

Should the US Fed cooperate with the EMs as it goes about tapering? They did not even mention EMs in their latest meeting. And it makes sense.

While more than half of the U.S.’s exports go to countries with developing economies, not all are in the same boat. Of the handful of countries with the worst troubles — large trade imbalances and tumbling currencies — only Brazil and India are significant export destinations. The U.S. sends 2.8% of its exports to Brazil, and 1.4% to India. U.S. companies get about 52% of their international profits from Europe. So overall, a recovery in Europe could outweigh any struggles from Asia or other developing markets.

Source: Emerging-Market Contagion? Think Again, U.S. Trust Says

Investing: Man vs Monkey

A must read article at Priceonomics:

In 2010, a Russian circus monkey named Lusha picked an investment portfolio that “outperformed 94% of the country’s investment funds” to great acclaim. Given 30 blocks, each representing a different company, and asked “Where would you like to invest your money this year?”, the chimp picked out 8 blocks. An editor from a Russian finance magazine commented that Lusha “bought successfully and her portfolio grew almost three times.” He suggested that “financial whizz-kids” be “sent to the circus” instead of rewarded with large bonuses.

 

Can your portfolio beat a blind-folded monkey, when adjusted by risk?

Source: How Well Do Blindfolded Monkeys Play the Stock Market?

To SIP an ETF or Not?

The two holy grails of investing: dollar cost averaging and low-cost investing come together if you systematically invest in an index ETF. We took a look at returns on doing an SIP on JUNIORBEES, an ETF that tracks the Junior Nifty index, that was introduced in 2003.

Summary of Returns

Start Year (Jan) IRR
2004 10.77%
2005 9.48%
2006 8.66%
2007 8.47%
2008 9.81%
2009 8.70%
2010 4.91%
2011 7.40%
2012 8.58%
2013 5.33%

The experiment

The question we set out to answer was: What would typical returns be if you systematically invested in a low-cost index ETF over different periods of time?

So we assume that the investor buys Rs. 5,000 worth of JUNIORBEES at the closing price on the last day of each month. We accumulate the units, the cost basis and the P&L over different periods of time, starting at 2004 and moving forward in one-year increments.

2004 Junior Bees SIP

The dollar cost averaging ensures that you buy more ETF units when the index goes down and less of it when it trades higher. And by tracking the IRR we ensure that we normalize returns for the investment period.

2008 Junior Bees SIP

Conclusion

We expected nominal returns to be higher than what we observed. Between 2004 and 2014, inflation was often running in double digits. So even a 10% IRR would actually be negative real returns. Investors probably would have made better returns if they had kept the money in a bank fixed deposit instead. So from a purely returns perspective, an SIP on an index ETF doesn’t make sense.

Caveat: Just because the real returns were negative with this approach in the past, doesn’t mean that it will be so in the future.

Monthly Recap: The levee breaks

nifty monthly heatmap

The Nifty ended the month -3.40% (-4.30% in USD terms.)

Index Performance

IT was the only place to be long… everything else was just wrong.

monthly index performance

Top Winners and losers

DIVISLAB +7.71%
UBL +7.83%
HCLTECH +15.81%
RANBAXY -28.65%
JPASSOCIAT -26.08%
CANBK -21.65%
Well done HCL Tech, well done. Ranbaxy got tagged by the US FDA and JP Associates is the leading contender for one of the biggest break-downs this year.

ETFs

GOLDBEES +1.77%
NIFTYBEES -3.18%
INFRABEES -4.53%
JUNIORBEES -6.81%
BANKBEES -9.68%
PSUBNKBEES -13.23%
Brutal.

Advancers and Decliners

advance decline chart

Yield Curve

india yield curve

Investment Theme Performance

Sector Performance

monthly sector performance

Thought to sum up the month

Well, we had too much to drink (infrastructure debt binge, etc.) before the GFC and spent the rest of the next 5 years barely recovering (NPAs, capital raises, etc.) from the hangover. But it looks like we are going to get trampled by the herd again.

 

Source: The levee breaks

Weekly Recap: The end of work?

Nifty weekly performance heatmap

The Nifty ended the week -2.83% (-3.29% in USD terms)

Index Performance

The biggest losers were the real estate and bank indices.

weekly index performance

Top Winners and Losers

BPCL +5.70%
GODREJCP +6.90%
GLENMARK +9.57%
BANKINDIA -15.77%
JPASSOCIAT -13.81%
YESBANK -11.61%
Godrej Consumer Products finally reversed its cliff dive and retraced some of its recent losses.

ETFs

GOLDBEES -0.03%
INFRABEES -0.68%
NIFTYBEES -2.74%
JUNIORBEES -3.81%
BANKBEES -6.52%
PSUBNKBEES -7.99%
No place to hide: gold, infra, mid-caps, banks all melted under the taper heat.

Advancers and Decliners

advance decline chart

Yield Curve

Look at the move at the long-end of the curve.

india yield curve

Investment Theme Performance

Our momentum theme barely broke even but the sell-off was pretty broad based.

Sector Performance

A sea of read:

weekly sector performance

Thought for the Weekend

Karl Marx saw England’s impoverished factory workers as evidence that machines were replacing workers, throwing them into unemployment and poverty. For example, the automated power loom took over tasks formerly done by handloom weavers. Over the 19th century, weaver’s tasks were progressively automated.

 

Weaving a yard of cloth at the end of the century took only 2 percent of the human labor it took to do so on a handloom at the start of the century; machines did the rest.

 

Marx observed this automation and predicted that it would result in mass unemployment. But that’s not what happened. In fact, by the end of the century, there were four times as many factory weavers as in 1830. What Marx missed was that the new technology also increased demand. The greater output per weaver reduced the price of cloth. Consumers reacted by buying more cloth. Greater demand for cloth meant more jobs for weavers despite the automation.

 

Source: Will robots steal our jobs?