Tag: ETF

Sector Momentum

Previously, we had looked at using the momentum of S&P 500 Sector SPDRs for potential rotation strategies. How would the Indian story unfold?

We take 16 sector indices, use a 6-month look-back window and go long the sector with the highest returns, holding it for a month.

You end up with higher returns but lower Sharpe – makes sense given the super-concentrated nature of the portfolio.

The 4 points of out-performance (after costs, pre-tax) over the NIFTY 100 index is not much to write home about. Besides, this strategy trailed the benchmark pre-2020. If this were pitched back then, nobody would’ve deployed it and nobody would’ve been around for the post-2020 out-performance. On a positive note, the availability of index funds and ETFs should make this strategy fairly easy to implement.

The main caveat is that the index construction rules themselves are subject to change. Mid last year, SEBI capped the maximum concentration of a single stock for a sector index at 35% and required them to have at least 10 stocks.

Code and charts are on github.

Here are some other things we tried, so that you don’t have to:

Equal-weight all Sector Indices

Inverse-volatility weight all Sector Indices

Equal-weight Sectors in an Up Trend

Inverse-volatility weight Sectors in an Up Trend

The excess returns of these alternatives do not justify the costs.

Categories Tags , ,

Index Fund/ETF Tracking Difference

Previously, we had pointed out the wide gulf between ETF closing prices and NAVs. While that continues to exist, the underlying funds themselves don’t track their indices correctly. This tracking difference is the absolute difference between the returns of the fund and the underlying index.

In an ideal world, an index fund or ETF returns should only trail its benchmark by its expense ratio. However, that is not always the case. Some indices are tough to replicate in the actual market due to liquidity issues. Sometimes reference bonds get called away. Proxies don’t exactly replicate the underlying, and so on and so forth.

Thankfully, AMFI (tasked by SEBI) publishes these metrics on their website for all to see.

The differences are hard to notice in short-term data…

… but they add up.

Investors should be aware that not all index funds/ETFs and indices are the same and proceed with caution.

Categories Tags

SPDR Sector ETF Average-Momentum Rotation

We’ve been having a bit of fun with the S&P Sector “Spider” ETFs: Intro, Momentum, Anti-Momentum. We saw how strategies that backtested well with pre-2011 data failed later. In this post, we see if buying all ETFs with a positive return over n-months help us beat the S&P 500 index.

Rules of Rotation

For ETFs: XLY, XLP, XLE, XLF, XLV, XLI, XLB, XLK, XLU

  1. Calculate rolling returns over n months. Where n = 1, 3, 6, 12.
  2. For the n+1th month, go long the ETFs that had positive returns in Step 1.

Like before, we split the dataset into Before 2010 and After 2011.

Pick your Fighter

The Before 2010 dataset shows rotation by 6- and 12-month look-back periods to be better than buying-and-holding the S&P 500.

The SPY Rope-a-Dope

MOM6 and MOM12 were too close to call in the training set. If you had “course-corrected” after the first couple of years of under-performance of MOM12 and switched to MOM6, you would’ve out-performed. On the other hand, staying the course would’ve meant losing out to the mighty S&P 500.

Once again, by simply holding onto the ropes, a passive buy-and-hold S&P 500 investor would’ve come out miles ahead of someone who tried to time sectors systematically.

What did we learn?

We tested a few basic allocation strategies that investors typically use to approach the “rotation” problem. Some of them worked well in the training set but their performance failed to carry over. Besides, if you add transaction costs and taxes, we are not sure if it was worth the effort given the post-2011 market regime.

Maybe there are more sophisticated qualitative/fundamental ways to approach this problem that work. However, most media articles about “sector rotation” are written with perfect hindsight and it is near impossible to do it with simple strategies that are accessible to the average investor.

Categories Tags , ,

SPDR Sector ETF Anti-Momentum Rotation

Previously, we saw how buying the best performing sector and holding it for a month didn’t quite pan out. What if, we bought the worst performing sector instead? The “Dogs of Sector Spiders,” if you will.

Rules of Rotation

For ETFs: XLY, XLP, XLE, XLF, XLV, XLI, XLB, XLK, XLU

  1. Calculate rolling returns over n months. Where n = 1, 3, 6, 12.
  2. For the n+1th month, go long the ETF that had the lowest return in Step 1.

Like before, we split the dataset into Before 2010 and After 2011.

Pick your Fighter

The Before 2010 dataset shows rotation by 3- and 6-month look-back periods to be better than buying-and-holding the S&P 500.

The 6-month look-back rotation strategy – MOM6 – would’ve been the strategy to bet on.

The SPY Rope-a-Dope

“Sure-things” don’t exist in finance.

MOM6 spent the last decade getting absolutely decimated by the S&P 500.

Once again, by simply holding onto the ropes, a passive buy-and-hold S&P 500 investor would’ve come out miles ahead of someone who employed this rotation strategy.
Categories Tags , ,

SPDR Sector ETF Momentum Rotation

While introducing S&P 500 sector ETFs, we showed how the cross-correlations between them were unstable. This makes developing simple strategies challenging. One common momentum strategy is to simply go long whatever worked best in the previous period.

Rules of Rotation

For ETFs: XLY, XLP, XLE, XLF, XLV, XLI, XLB, XLK, XLU, and SPY

  1. Calculate rolling returns over n months. Where n = 1, 3, 6, 12.
  2. For the n+1th month, go long the ETF that had the highest return in Step 1.
  3. In Step 2, if the selected ETF has -ve returns, stay in cash and earn zero.

We split the dataset into Before 2010 and After 2011.

Pick your Fighter

The Before 2010 dataset shows rotation by all look-back periods to be better than buying-and-holding the S&P 500.

Probably because of the prolonged dislocation caused by the GFC in 2008 and 2009, all rotation strategies based on the rules above exhibited great stats.

The 6-month look-back rotation strategy – MOM6 – gave an annualized return of 13.04% vs. S&P 500’s 1.19%. Coming out of the crisis, this would have been the fighter to bet on.

The SPY Rope-a-Dope

In boxing parlance, a “Rope-a-Dope” is

When you maintain a defensive posture on the ropes in an attempt to outlast or tire your opponent. It is most recognized and was actually given that name by Muhammad Ali when he employed the technique to defeat George Foreman.

titleboxing.com

The After 2011 dataset is a prime exhibit of why “sure-things” don’t exist in finance.

The S&P 500 spent the next decade demolishing everything.

MOM6, the winner from our first round, went on to underperform the S&P 500 for the next 10 years by ~4%

By simply holding onto the ropes, a passive buy-and-hold S&P 500 investor would’ve come out miles ahead of someone who employed this rotation strategy.

Categories Tags , ,