This “buy high, sell low” market timing strategy surprisingly works!

Published: June 2, 2020 at 11:42 am

In this article, we discuss the results of a buy when high, sell when low market timing strategy that surprisingly works with the best results out of all the timing strategies studied so far.

The strategy is identical to the tactical buying strategy for gold discussed a few days ago and is based on the momentum of the six months moving average relative to the twelve-month moving average.

We shall compare a  systematic approach which is a simple SIP in 50% equity (Sensex TRI) and 50% gilts (I-BEX gilt index) with annual rebalancing versus a tactical approach which involves moving between equity and cash over ten year periods. Taxes and exit loads for both strategies are not included.

Warning and Disclaimer:  The following is to be treated as investment research based on past data, need not be representative of practical implementation and is not investment advice. They do not factor in behavioural/emotional aspects associated with investing. If you do not know how to understand a backtest result, evaluate its disadvantages, then please, please DO NOT play with your money using market timing.

Context: This is an extension of previous work – Timing the market by spotting bullish and bearish trends based on what Jim Otar calls as a hurricane warning chart in his book, “Unveiling the Retirement Myth”. You can use the Nifty Valuation indicator to track the moving averages  (the sheet gives daily moving averages while we shall consider monthly averages)

Shown below is the Sensex TRI and the six and twelve-month moving averages. When the six-month moving average (6MMA) is greater than the 12-month moving average (12MMA), we buy equity, sell all gilts and buy equity. Monthly investments are directed only to equity.

When the six-month moving average (6MMA) is less than the 12-month moving average (12MMA), we sell equity and buy gilts with it. Monthly investments are directed only to gilts.

This is counterintuitive because you are shifting to an asset class that is moving up and selling it when it is going down: buying when high, selling when low. Arguably, this is the same as buying a little after the low and selling a little after the high with highs and lows defined by the 6MMA movement.

Sensex TRI with six and twelve month moving averages along with buy and sell indicator
Sensex TRI with six and twelve-month moving averages along with buy and sell indicator

When the 6>12 indicator (dotted line) = 1, we are 100% into equity. When it is = 0, we are 100% into gilts. This strategy needs to backtested and compared a with a 50% equity and 50% gilt systematic strategy.

We will run a 10-year backtest with the ten-year window rolled over like this. Each row is a 10-year run and we have 155 runs like this.

Start DateEnd Date
04-08-199703-08-2007
03-09-199704-09-2007
03-10-199703-10-2007
05-04-201003-04-2020
03-05-201004-05-2020
03-06-201028-05-2020

The results are shown below. A surprising 150 out of 155 times the tactical strategy won (upper left picture). The price to pay for this outperformance is (1) higher drawdowns (max fall from the peak as shown in upper right frame) (2) higher portfolio volatility (lower left frame) and (3) more no of continuous months when the portfolio was lower than a peak (lower right frame)

momentum market timing with double moving average compared with 50 percent Sensex and 50 percent gilts
momentum market timing with double moving average compared with 50 per cent Sensex and 50 per cent gilts

Those who want a high-risk, high-return strategy should take a closer look at this. We have seen from previous backrests that no method would work all the time and this is true for this too. It has failed only thrice – for  10 year runs ending April -start, May-start and May-end. One such run is shown below.

Worst Sensex doubling moving average timing run
Worst Sensex doubling moving average timing run

It is premature to:

  1. declare victory and assume we have found the holy grail of market timing. We will need to test more (see below)
  2. declare this as a failure just because it did not work during one of the steepest market fall. When you want higher returns, that is a dice you goto roll.

As a first step towards extended testing, we shall switch from Sensex TRI to S&P 500 TRI using Prof. Shiller’s data and switch from I-BEX gilt to US treasury bond (1Y).

Since S&P 500 TRI is available from 1900 (yes, from Excel date = 0!) and bond data only 1962, we shall use the median monthly return of the 1Y bonds = 0.23%. This is clearly an oversimplification but the timing indicator is with respect to the S&P 500 and should reasonably acceptable as a first approximation.

SP 500 TRI with six and twelve month moving averages along with buy and sell indicator
SP 500 TRI with six and twelve-month moving averages along with buy and sell indicator

This gives an incredible 1336 10-year windows. Surprise, surprise, the tactical strategy got more returns 1209 times or 90%. Cleary this strategy deserves our attention.

10Y backtests of momentum market timing with double moving average compared with 50 percent SP500 and 50 percent 1Y treasury bonds
10Y backtests of momentum market timing with double moving average compared with 50 percent SP500 and 50 per cent 1Y treasury bonds

Over 15Y, the win rate is an astounding 99% (1276 runs)

15Y backtests of momentum market timing with double moving average compared with 50 percent SP500 and 50 percent 1Y treasury bonds
15Y backtests of momentum market timing with double moving average compared with 50 per cent SP500 and 50 per cent 1Y treasury bonds

We shall have to do further study with actual US bond rates. Naturally, this is not a foolproof method but even if we include taxes, the win rate is enough to at least sit up and take notice. Kindly do your own due diligence before committing money.

Update:   A tool for tactical buying and selling using moving averages is now available.

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About the Author Pattabiraman editor freefincalM. Pattabiraman(PhD) is the founder, managing editor and primary author of freefincal. He is an associate professor at the Indian Institute of Technology, Madras. since Aug 2006. Connect with him via Twitter or Linkedin Pattabiraman has co-authored two print-books, You can be rich too with goal-based investing (CNBC TV18) and Gamechanger and seven other free e-books on various topics of money management. He is a patron and co-founder of “Fee-only India” an organisation to promote unbiased, commission-free investment advice. He conducts free money management sessions for corporates and associations on the basis of money management. Previous engagements include World Bank, RBI, BHEL, Asian Paints, Cognizant, Madras Atomic Power Station, Honeywell, Tamil Nadu Investors Association. For speaking engagements write to pattu [at] freefincal [dot] com
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