Ten years after the 2008 crash: the 1st market milestone of 2018

Published: December 31, 2017 at 8:39 am

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On 4th January 2008, the Nifty Next 50 index (then Nifty Junior) closed on 13069.35. We now know that was the end of the last great “true” bull run. On Dec 31st, 2008, the index closed at 5443.11. An incredible fall of over 58% in a year. The Sensex/Nifty peaked four days later on 8th Jan 2008, before they too fell. We are now days away from the 10th anniversary of what became the start of the 2008 housing bubble burst. Can this teach us something about risk? Let us find out.

Before we begin: Freefincal.com is among the Top 50 Indian Personal Finance Blogs And Websites For Indians and Top 60 Indian Investment Blogs And Websites For Indian Investors. Thank you, Anuj Agawaral, for the recognition.

So this is what I am referring to as the first market milestone of 2018.

January 4th 2008: 10 years ago

key lessons from the 2008 crash

1) As discussed earlier in What is a high index PEwhen the crash occurred the Sensex PE was relatively low (based on past data then). So in real-time, many were are clueless about what was to follow. What we have is the benefit of hindsight – so easy to forget that!


2) The concept of a “high PE” is constantly changing. Index PE fans fail to recognise this fact.

For example, this is the latest NIfty PE with 10Y PE moving average chart obtained from Nifty Valuation Analysis with PE, PB, Div Yield, ROE, EPS of 21 NSE Indices tool

NIfty PE 10 year moving average

Notice how the average PE and standard deviation bands are moving with each passing day. There is hardly enough proof here that PE based investing will work. Well, it does not: Misconceptions about the Nifty PE

3) The housing bubble was a lesson that markets are coupled across countries. Foreign institutional investors pulled out about one lakh crore INR in 2018 according to traderscockpit.com. The below image is from this site. The fall in Indian markets (due to their gradual pull out) started months before the fall of Lehman Brothers

And by the way, do not believe that nonsense about mutual fund SIP investors “saving” the market. If the FIIs pull out big, the market will drop and many financially literate mutual fund investors will follow suit.

Animation of the 2008 crash

Watch the Nifty Next 50 move up and crash down by 58% in 2008. Notice that as it fell, it moved up twice as though offering some hope of recovery. There is a difference between watching a snapshot of the past and an animation. The latter gives you a sense of how investors would have felt in real time. Also, recognise in 2008 we neither had smartphones nor social media penetration. The lack of information can make one scared. An excess of information can make one scared.

The last few years: Where are the corporate earnings?

Using the Nifty Valuation Analysis tool, here is the EPS 1Y rolling growth rate and the return on equity

When I see the above two graphs, I feel corporate earnings have been at least low (if not absent). Makes you wonder if the market will make us wait for earnings to catch up. How long can the market keep moving up without real growth? Then again, there are those who feel even the last bull run (2002-2008) did not result in real growth –only assets grew, jobs did not.

Have the last few years been an empty bull run based on hope? If so, how different are we from Bitcoin investors who “hodl” in the hope of long-term benefits? I wish I get answers as easily as I get questions!

The trouble is that the benefits of “good governance” will take years to manifest and within this time, governments come and go.This means, we as investors must face sequence of returns risk – that is low or negative returns for years together. That is probably the only guaranteed aspect of the market aside from daily volatility.

Can we predict market crashes with moving averages?

This seems so easy we look at past data. In an earlier post, Moving Average Market Level Indicator, I had discussed Jim Otar’s hurricane warning indicator. The idea is to plot two moving averages:

1) 5-month daily moving average (this is just the average of the daily closing values of the nifty for the last 5 months)

2) 12-month daily moving average

Bearish trend: If the 5-month DMA goes below the12-month DMA when the 12-month DMA is heading south

Bullish trend: If the 5-month DMA goes above the 12-month DMA when the 12-month DMA is heading north

Using the Nifty Valuation Analysis tool, we get this nice graph.

Now you can easily mark the bearish trends and bullish trends.

Try doing the same with this animation. Please do play this a couple of times to understand that it is not easy to predict how much the market will move up or down at any point in time.

Anyone who claims they can foresee and side-step market crashes are assuming that they can walk between raindrops without getting wet.  I am not saying it is impossible to use moving averages (for long-term investing, not trading) in real-time and reduce losses. I am only saying that it is not easy and requires machine-like discipline – certainly more “discipline” than keeping a SIP running.

When we see the market fall so much in such a short time, our mind starts playing tricks. Just look at how the Bitcoin investors are behaving. They see some returns and believe everyone else, even accomplished investors, are idiots. That is the euphoria, the exhilaration showing.

The 2008 crash was a case of anti-euphoria at least for long-term investors who hit the panic button. I am not judging anyone. Who am I to do so. Who knows if 2018 is a repeat of 2008, I might be the first to exit in fear.

The purpose of writing this post is to:

(1) stop and think about what transpired ten years ago.

(2) Recognise that the fantastic equity returns could vaporise in weeks at any time

(3) There are ways to lower losses but it is one thing to assume one can and actually do so when the events unfold in real time.

Note: I have fixed the x- and y-axis scales in the two animations above with the benefit of hindsight. Let us not forget that it is not possible in reality!

Wish to a very happy 2018.


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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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