Author: shyam

Risk Management is Not Free

Now that we are in the middle of a massive virus induced selloff, investors are once again interested in risk management. Similar to how flood insurance is mostly bought after a flood, investors end up paying a hefty premium for fighting the last war. Our experience with offering strategies that try to manage downside risk has been that investors flock to it after a drawdown, only to get disappointed by its returns once the market recovers and getting rid of it right before the next one. Rinse, Repeat.

Risk management is not free

No matter how you hedge your risk (buying options, sell futures, trend-following,) it costs money. There is no system where risk management makes the investor money. So, by definition, hedged investment returns will trail buy-and-hold for long periods of time.

Drawdowns and Returns are sides of the same coin

Equity risk premium exists because of tail-risk that cannot be modeled.

Nothing “normal” about it!

No matter what your time-horizon, there are always periods when you will be deeply in a hole.

Hedging instruments are not perpetual

Equities are perpetual but hedging instruments like futures and options have definite terms. They have their own peculiarities based on risk that is already being priced in vs. true tails.

Simple Moving Averages can help

Being long an index only when it above an SMA is one way to overcome the problems highlighted above. It doesn’t involve hedging instruments, so you don’t have to worry about derivative pricing, expiry, etc. The odds are in your favor in terms of the trend being your friend.

On average, it pays to be long only when the NIFTY is above its 50-day SMA

Most of the large daily moves occur when the index is below the SMA. Higher volatility is not necessarily bad if the drift is higher. But most investors rather sit out the volatility than dive in get their guts punched.

Next-day returns under different SMA “regimes”

What would returns look like if you were long only when the index traded above its SMA? It really depends on your time horizon.

Including the 2008 GFC
Excluding 2008 and subsequent recovery
Annual returns
Get ready to be whip-lashed
Trade-off between lower volatility and higher costs/gross returns.

Problems

  • When it comes to avoiding drawdowns, you win some, you lose some.
  • Transaction costs matter. The above was modeled using an STT of 0.001% and slippage of 0.05% on the sell side. And capital gains taxes have been ignored.
  • Trading this using ETFs would be sub-optimal. So it is not clear how this strategy can be expressed.
  • Outcomes would depend on holding periods. Investors can go a long time under-performing the index and experiencing every bump that comes along.
  • Shorter the SMA period (50-day shown above is not written in stone,) more the transaction costs and slippage.

Different look-back periods

What if you shortened the SMA period to 20 days?

20-days

And what if you increased it to 200 days?

200-days

What about Midcaps?

20-days
50-days
100-days
200-days

Who should hedge?

Most of the time, markets recover. However, the recovery time varies each time and there is no way to time hedging strategies. And each under-lying index behaves differently.

So, the reason to do it is investor’s own psychology and the asset one is long. If you, as a buy-and-hold long-term investor, can stomach the volatility, then there is probably no reason to hedge. Besides, portfolio volatility can be reduced through asset allocation as well (here, here.)

And remember: risk-management, whatever the strategy, involves paying upfront to mitigate risk that may or may-not befall.

Code and more charts on github.

SMA Over Indices

Simple Moving Average (SMA) is one of the oldest and simplest measurements of trend. Arrived at by taking the average of prices over a period of time, it remains a popular tool for timing investments and risk-management. The following series of posts outlines how investors can use SMAs to get superior risk-adjusted returns.

SMA Strategies using ETFs

SMA strategies that use ETFs to create trend-following portfolios.

Reducing Drawdowns in SMA strategies

Shallower drawdowns allow a bit of leverage to be employed. This could be a good starting point for a NIFTY futures trading strategy.

Slopes vs. Cross-overs

A lagged response will result in higher drawdowns. It could, however, lead to lower transaction costs by papering over short-term mean-reverting moves.

Transaction Costs

Transaction cost analysis to backtests give investors an idea of what gross and net returns of different SMA look-backs look like over buy and hold.

Long-term Returns

Strategy outcomes depend on the underlying index and holding-periods. There is, alas, no magic formula.

Asset Allocation and Taxes

Simple portfolio asset allocations should start with a mix of equities and bonds. Typically, a 60/40 or a 70/30 split between them is suggested as a good starting point. The big questions are:

  1. What are the trade-offs between 60/40 and 70/30?
  2. Should you stick to large-caps or use mid-caps for the equity leg?
  3. Should you rebalance every month or is an annual rebalance enough?
  4. Should you invest the legs separately or opt for an equity-oriented balanced fund?

60/40 vs. 70/30 * Large vs. Mid-caps

60/40, monthly rebalance
70/30, monthly rebalance

From a drawdowns point of view, using the large-cap NIFTY 50 index seems to deliver a smoother ride to the investor. However, there is hardly any difference between the drawdown profile of the 60/40 vs. that of the 70/30. From a returns point of view, a 70/30 portfolio has about a point over the 60/40.

So, risk-averse investors should probably go with a large-cap 70/30 mix. And for those who want reach a bit, a mid-cap 70/30 should do the trick.

Monthly vs. Annual Rebalance

The less frequently you rebalance your portfolio, the less you pay out in transaction costs. However, with a lower frequency of rebalances, you run the risk of one piece of your portfolio overshadowing the rest and dictating the overall risk of the portfolio.

70/30, annual rebalance

For a 70/30 portfolio, it appears that an annual rebalance has negligible effect on portfolio returns or drawdowns.

Tax impact – DIY vs. Mutual Fund

If you choose to implement the legs of the portfolio separately, then you create a taxable event every time you rebalance. A mutual fund, on the other hand, has no such drag.

70/30 large-cap, after tax vs. equity-oriented hybrid fund
70/30 mid-cap, after tax vs. equity-oriented hybrid fund

Taxes seem to lop-off about 2% of annualized returns in the DIY portfolio while the mutual fund gets to compound it throughout. In both the large-cap and mid-cap scenarios, an equity-oriented hybrid fund comes out ahead.

If you were set this up as an SIP, then it is possible to avoid selling positions by just buying the asset that has fallen below its target. So taxes predominantly dent lumpsum investment returns.

Conclusion

If you are an SIP investor, then a DIY 70/30 large-cap or mid-cap portfolio (if you are willing to bear a bit more volatility) should do the trick. But lumpsum investors should probably shop around of a decent equity-oriented hybrid fund.

Related: Allocating a Two-Asset Portfolio

Check out the code for this analysis on pluto: 60/40 and 70/30. Questions? Slack me!

Book Review: The Technology Trap

In The Technology Trap: Capital, Labor, and Power in the Age of Automation (Amazon,) Carl Benedikt Frey gives us a brief history of technology’s impact on society and how we can better prepare ourselves for the coming AI revolution.

Historically, new technologies got adopted only when it didn’t threaten the status quo of the elites.

For most of history, the politics of progress were such that the ruling classes had little to gain and much to lose from the introduction of labor-replacing technology. They rightly feared that angry workers might rebel against the government.
One reason economic growth was stagnant for millennia is that the world was caught in a technology trap, in which labor-replacing technology was consistently and vigorously resisted for fear of its destabilizing force.

The Technology Trap

Artisans formed guilds and openly lobbied to prevent guild members and outsiders from producing things in new ways. However, as trade increased, competition between trading blocs eroded the power of protectionists. Areas that became more exposed to outside competition invested more in the invention of new technologies.

New technologies can be either labor saving or labor displacing. The problem with the latter is that displaced works see a rapid erosion in their income. So even though technological innovation boosts aggregate incomes over the long term, it is not cost-less at the individual level.

The simple existence of better technology does not inevitably translate into faster economic growth. For that, widespread adoption is required. If you want society to be open to new technologies, you absolutely must have a social safety net and a plan to make sure the displaced workers have the wherewithal to up-skill themselves.

Recommendation: Skim.

MSCI Country Momentum Index Correlations

In MSCI Country Index Correlations, we looked at country index correlations through time. Here is a quick update that “flattens” out the rolling correlation of the momentum versions of these indices with the MSCI INDIA MOMENTUM Index.

Three-year Rolling Correlations

MSCI Country Momentum Index 3-year Rolling Correlations

Five-year Rolling Correlations

MSCI Country Momentum Index 5-year Rolling Correlations

Take-away

Momentum is a lose proxy for sentiment and the tides of optimism floats all boats. All equity markets are correlated with each other – some strongly (HONG KONG) and some weakly (CANADA.)

The median correlations across both 3- and 5-year rolling periods are greater than +0.70 between INDIA MOMENTUM and EMERGING MARKETS MOMENTUM.

Cumulative Returns of INDIA and EM MOMENTUM (MSCI)

No market is an island. Sentiment is tail that wags the dog.