Category: Investing Insight

Investing insight to make you a better investor.

Investing in Micro-caps

The Size Factor

All things being equal, micro-caps outperform mega-caps in the long-run — investors are compensated for the higher systematic (business cycle) risk that they take when they invest in micro-cap stocks. One way to boost relative performance vs. a market-cap weighted index is to invest in an equal-weighted basket of stocks that are in the index. Alternately, investors can add a basket of micro-cap stocks to their portfolio to juice overall returns.

Market-cap Deciles

We had discussed how we can divide the universe of listed stocks in deciles based on their free-float market cap here. Given our ability to automate systematic investment strategies, we created an auto-rebalanced Theme each for every decile.

Investors can now gain exposure to an equal-weight portfolio of micro caps by investing in the Decile 9 Theme and mega-caps by investing in the Decile 0 Theme. Returns and risk go down as you climb up the market-cap ladder. Our Market Dashboard gives an idea of how returns have been distributed across the deciles:

decile returns

Notice how the drawdowns are deeper with micro-caps:
decile drawdown

Investors who whethered the steeper drawdowns of micro-caps have experienced returns an order of magnitude larger than mega-cap investors. Check out the ‘Size Factor’ in our Investment Themes page for other Market-cap based Themes.

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Systematic Buy-the-Dip

Introduction

We often hear the term “buy-the-dip” whenever the markets are correcting. However, here are some questions that face an investor:

  1. What exactly is a “dip?”
  2. Where does the cash come from?
  3. How much should I buy?

The answers to these questions will determine how much alpha you will generate by employing this strategy.

What is a “dip?”

A dip is a percentage loss from a near-time peak (also called a drawdown.) For example, if the NIFTY posts a 50-day cumulative loss of 5%, then that is a 5% dip over where the NIFTY closed 50-days ago. To get a sense for how these 50-day dips/drawdowns are distributed, we do a density plot.

drawdown.density.NIFTY 50

drawdown.density.NIFTY MID100 FREE

As we can see, most of the NIFTY dips are at around 5%. A more than 10% dip is a “back the truck up” event where we deploy all our cash. For MIDCAPs, it is around 10% and 15%.

The back test

Every day, an investor has Rs. 1 that he needs needs to invest. He can either buy the NIFTY/MIDCAP or he can park it a short-term bond fund/savings account. Additionally, if it is a “back the truck up” dip, he can liquidate the bond fund and buy the NIFTY/MIDCAP. Let’s tag this as DIP.

In a DIP, the investor only buys NIFTY/MIDCAP if it is in a dip. Otherwise, he buys Rs. 1 worth of bonds.

The base case is that the investor buys Rs. 1 worth of NIFTY/MIDCAP every day. Let’s tag this as SIP.

Should you buy the dip?

Yes, buying the dip allows you to build a bigger corpus, if your transaction costs are zero. Here are the NIFTY and NIFTY MIDCAP buy the dip (DIP) vs. daily purchase (SIP) final corpus:

dip-sip

Given how small the alpha is, net of fees/commissions/slippage/taxes, this is a losing proposition. You are better off with a SIP.

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Internal Bar Strength

Definition

Internal Bar Strength (IBS) is based on the position of the day’s close in relation to the day’s range: it takes a value of 0 if the closing price is the lowest price of the day, and 1 if the closing price is the highest price of the day. The IBS effect may be related to intraday over-reactions to news or market movements, which are then “corrected” the next day.

IBS = (Close – Low)/(High – Low)

It is a mean-reversion strategy.

Back test

The paper from Alexander Soffronow Pagonidis claims that low IBS values are associated with high returns, while high IBS values are associated with low returns. Average returns when IBS is below 0.20 are .35% while average returns when IBS is above 0.80 are -0.13%.

We put this to the test on 16 NSE indices. Calculating IBS and trading at the close. To keep things simple, we assumed that we can trade at closing prices. Buy at the close if IBS is below 0.2, and sell at the close if IBS exceeds 0.8, exit the position at the following market close. If a back test on indices proved promising, we figured we would try this out on individual stocks next. However, IBS returns trailed buy-and-hold by a significant margin.

ibs

Using IBS to trade mean reversion, as the author intended, is a losing proposition. What if we do the reverse?

ibs_inverse

It “works” for about half the indices – could be pure luck.

Conclusion

It looks like IBS either doesn’t hold for Indian markets or for the indices we tested.

Source: The IBS Effect: Mean Reversion in Equity ETFs (pdf)

Equity curves: IBS Mean Reversion (pdf)

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Trading turnover throughout the day

Turnover, defined as volume over total number of shares outstanding, is not constant throughout the day. If you plot turnover over a trading day, it typically traces a ‘U’ shaped plot.

turnover.BSL

turnover.MEP

turnover.INFY

Notice how turnover is the highest in the first half-hour and the last-half hour of trading? Turns out, it is a global phenomena. It follows that if you want liquidity, then it is enough if you show up for the last half-hour of trading.

Related:
Trading Day of Month Returns
Equity Returns at the Turn of the Month
Improving VWAP Strategies: A Dynamic Volume Approach

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Trading Day of Month Returns

An analysis of daily returns of the NIFTY 50 index between 1998 and 2015 shows that:

  1. The first few and the last few trading days of a month are the best days to be long.
  2. Middle of the month returns are more volatile and, on an average, negative.
  3. Cumulative returns of a strategy that is long on the first 5 and the last 5 days of the month and short the others is 1,112.154% vs. 636.1821% of a buy and hold strategy.

day-of-month

Further reading: An Anatomy of Calendar Effects (SSRN)

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