skip to main content
Close Icon We use cookies to improve your website experience.  To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy.  By continuing to use the website, you consent to our use of cookies.
Global Search Configuration

Global equity sell-off intensifies, US stocks mark biggest % loss in more than 6yrs

The global equity sell-off has intensified significantly, with a hugely bearish move yest.

  • European equities notched steep losses for it's 6th straight day in the red, while US bourses fared much worse.
  • The Dow and S&P500 both posted their biggest % loss on a closing basis in 6-1/2yrs, with the Dow closing -4.6% down and the S&P500 -4.1% lower.
  • On an absolute point basis, the Dow's -1175.2 loss was the biggest on record.
  • This was not even accounting for the fact that US stocks actually pared a chunk of their losses, with a shockingly steep 15/20min sell-off late in the session largely pared on dip-buying from real-money accounts and corporate insiders.

Sell-off accelerated late on by algos/risk control systems and liquidity withdrawal

The initial sell-off was linked to leveraged selling in ETFs (which prompted proportionate adjustments in their underlying holdings) and from mutual fund unwinding.

What transpired in the US afternoon appears to be a spate of selling from algo funds in stock index futures (on the sell signal generated by the break below key tech supports) which begot more algo selling which then manifested into automated risk control systems (of which many are still based around variations/iterations of the flawed VAR model) somewhat indiscriminately cutting positions in a bid to limit portfolio losses.

That ultimately led to an abrupt/sharp withdrawal of liquidity during that 15/20min period, which prompted even more systemic de-risking as prices cratered in what is a self-fulfilling cycle.

Given how most trade books held by funds are generically similar by way of holdings and governed by largely the same risk control parameters, the indiscriminate selling and the abrupt withdrawal of liquidity was in a way the perfect storm of which we have seen previously (equity flash crashes in 06 May 2010, 24 Aug 2015, 23 Apr 2013 was technically a flash crash but it was down to an erroneous/hacked tweet, FX flash crash on 18 Mar 2015).

What happened after the 2010/15 flash crashes

While it's unlikely we will see another sell-off of similar magnitude from here, equity sentiment is invariably cautious/soft with US bourses now having erased their YTD gains.

While global econ data has remained strong which should invoke dip-buying support, we suspect there is still a bigger inclination to de-risk portfolios amidst questions over CB policies/bond market moves and the impact these could have on valuation (NPV would invariably fall on higher interest rates), the equity/bond yield premium (which on Fri narrowed to the smallest in 8yrs for the US) and corporate borrowing costs (and hence earnings).

This postulation also finds some supportive argument when we look back at the past flash crashes.

  • As mentioned above, the 2013 iteration was a mini flash crash, as the Dow plunged around 1% in a few secs on a hacked AP tweet that said then President Obama was injured amidst a White House explosion, before swiftly rebounding as the tweet was refuted and liquidity was restored.
    • As such, this isn't a reference point.
  • The 2010 iteration was a sharp move (that wiped out $1trln in US market value in just slightly more than 30mins, with losses briefly hitting 9% for the Dow) that pretty much unwound all the gains for the preceding 3mths.
    • The catalyst then was a sharp selling of index futures exacerbated by spoofing algos, a sharp withdrawal of liquidity and risk control systems kicking in.
  • The 24 Aug 2015 flash crash also saw a sharp -5% decline within minutes, briefly rebounded before proceeding to turn down again.

Yest's slump was in many ways similar to the ones in May 2010 and in Aug 2015, where selling in prior days culminated in the algo/risk control/liquidity withdrawal storm.

Let's look at the USD flash crash on 18 Mar 2015.

  • The broad USD slumped more than 3% in a few mins before paring most of it's intraday losses by the end of the day. That said, USD sentiment stayed weak in the following mths.

Flash crashes have previously been a reversal point in sentiment

Past performance is never fully indicative of future performance, but what the 2010/2015 flash crashes show is that they were a turning point in previously bullish sentiment and that the sentiment reversal lingered on.

Could this play out again?

Whilst the current econ dynamic is a whole lot better than in 2010 (and only if econ data starts to turn down will the risk of a bear market need to be priced in), sentiment is a fragile thing and there are momentum swings within it.

As such, there may be a case that risk sentiment will stay depressed for a while longer and that this equity/commodity/FX correction may continue. JH

Recommended Articles

  • IGM Credit, IGM FX and Rates

    IGM Launches Daily Quant-Based Trading Ideas with IGM G10 FX Playbook

    21 Jan 2021

    Boston, MA – (January 21, 2021) – IGM, a subsidiary of Informa plc (LSE: INF), a leading provider of solutions for financial services professionals, has launched the IGM G10 FX Playbook, offering financial institutions actionable analysis and talking points for client and in-house currency market trading strategy.

    Topics Industry News

  • IGM FX and Rates

    2020: That was the year that was - U.S. High grade primary markets

    22 Dec 2020

    2020 will be known for the Great Debt Binge when corporate America and a host of foreign companies raised an unprecedented amount of capital via the USD public debt market amidst the worst pandemic crisis in over a century...

    Topics Industry News

  • IGM FX and Rates

    2020 Year in Review

    By Jonathan Cavenagh 22 Dec 2020

    The positive risk bias at the start of 2020 for EM Asia assets didn’t last long. The synchronised global economic upswing quickly unravelled as the COVID pandemic swept through EM Asia economies. The epicentre of the pandemic was in China to begin with and as China went into lockdown Q1 was a write off for economic growth in the region. From a peak in mid-January to late March, the ADXY currency index lost 5%. There were significant divergences within the region though, with the IDR losing close to 15% against the USD, the baht 8.6% and INR 5.5%. IDR and INR are typically current account deficit currencies and sensitive to broader risk appetite, whilst the collapse in tourism inflows weighed heavily on the baht. In contrast, the PHP was basically flat against the USD in Q1, while the TWD only lost 0.67%. The Philippines has fairly limited offshore investor positioning, which served it well, while Taiwan managed the pandemic very well and this was reflected in relative currency outperformance…

    Topics Industry News


Any questions? Speak to a specialist

Would you like to request sample data or analysis from Informa Financial Intelligence? 

See how our tailored solutions can help you gain a competitive advantage: