Weekly Market Update: Mixed economic data contributes to market volatility

Weekly Market Update: Mixed economic data contributes to market volatility

Mon 17 Jan 2022

Market Update

It was a volatile week for global equities as investors were presented with a mixed array of economic data. US and EU stocks fell -0.8% and -1.5% respectively, while heavy exposure to the energy sector continued to favour UK equity markets which gained +0.8%. Emerging market stocks posted a rebound after a prolonged period of underperformance, up +2.0%. Globally, energy stocks saw widespread gains, whilst industrial & consumer discretionary stocks lagged behind. The US 10Y Treasury yield paused its dramatic climb last week; up 2.2bps, finishing the week at 1.784%, while the UK 10Y yield fell slightly; down 2.8bps to 1.150%. In US Dollar terms gold rose by +1.2%, while oil continued its ascent to reach $84.30 per barrel; up 6.2%.

CIO Analysis

Asset Allocation

In 1897, Ivan Petrovic Pavlov made a dog salivate without the presence of food. The Nobel Laureate (1904) arguably changed the twentieth century when he introduced behaviourism and the idea that human behaviour is, by and large, programmable.

In the past twelve years, the Fed certainly paid homage to the idea. When Quantitative Easing was introduced to western markets in 2008-9 it was a novelty. Even though traders and investors realised the potency of the Fed’s bazooka, they remained sceptical. The period from 2009 to 2015 was a long realisation for active fund managers that flows and communication can be more important than perceived fundamentals. They underperformed indices and saw the rise of passive investing before yielding to the Fed’s awesome power. The Fed just had to remind investors on occasion that it can print money at will, to keep everyone in line.

The more pressing the conditioning, the less accepting is the subject to change, however. Inflation at 7% simply precludes the Fed from printing more money and rushes the timetable for ending Quantitative Easing. Talks of Quantitative Tightening immediately after only exacerbate the situation.

But what about those conditioned investors? We are not just talking about humans, but more importantly, about algos. Humans, unlike dogs, are rational. They might adapt, reduce risk, wait for a stock and bond re-rating, look for opportunities and missed sectors etc. But algorithms, which account for over 80% of all trading, have never worked outside a QE regime.

Most of the time, in fact, they search for correlations without much regard to causation. Algorithms don’t like to wait much. In March 2020 they did not just give us one of the steepest drops in history, but also one of the quickest recoveries. Algorithms are the children of the current paradigm. Currently, much like Pavlov’s dogs, they continue to wait for food (QE) to arrive. But what happens when they realise there’s no more of their favourite treat?

Oddly enough, to find an answer, we may have to look back to 1996, when the world chess champion played Deep Blue, a very advanced computer. By the last two games, Kasparov understood that Deep Blue knew all the games ever played, so he changed the paradigm. He made a series of unprecedented moves. The computer had no historical analogy and it was thrown off-balance. Deep Blue surrendered easily.

So how will a paradigm shift affect algos? ‘Smart’ algos may look for opportunity. Whether they will discover real value or not, time will tell. ‘Lazy’ algos, will probably not know how to react. At the very least, volatility will ensue. 2022 has seen one of the most volatile starts to the year across risk assets, and this could very well be the trend, at least until inflation settles. That is not necessarily bad news. Volatility can be an enemy of passive investing, but it can be the bread and butter for good active, well-rounded investors who have stayed in the side-lines for years. In other words, at the very least, a paradigm shift could mean a change in the types of managers that outperform. – David Baker, CIO