Tag: destabilising speculation

Posted on

The precious metals roller coaster

Precious metals, such as gold, silver and platinum, are seen as safe havens by investors in uncertain times. With the on-off nature of Donald Trump’s tariffs, with ongoing wars, such as the war in Ukraine, and with threats of US action in Iran, with inflation slow to fall and pressure by the Trump administration on the Federal Reserve to make precipitant cuts in interest rates, investors have flocked to precious metals.

Precious metals peaked in late January 2026. Compared with just four months earlier, gold was up by 48%, platinum by 76% and silver by a massive 162%. Silver and platinum were also boosted by their industrial uses. Silver has excellent conductive properties and is used for electronics, AI, solar energy (photovoltaic cells), chemical catalysts and medical equipment. Over 50% of its consumption is for industrial purposes. Platinum is used as a catalyst in catalytic converters to reduce exhaust emissions, in medical devices, chemical processing, oil refining, electronics and glass manufacturing.

The rise was fuelled by speculation, which gathered momentum in December and January. But then the prices of all three metals fell dramatically on Friday 30 January and a bit more on 2 February. Despite a moderate bounce back on 3 February, the prices then fell again and by the end of 5 February, gold had fallen by 15%, platinum by 30% and silver by a massive 42% from the peak.

Figure 1 illustrates the effect of speculation on the rise in price of a precious metal, such as silver. Assume that demand rises from D0 to D1 for the reasons given above. Equilibrium moves from point a to point b and the price rises from P1 to P2. Seeing the price rising, holders of the metal wait until the price rises further before selling. Supply shifts from S1 to S2. Potential purchasers of the metal, anticipating a further rise in price, buy now before the price does rise. Demand shifts from D1 to D2. As a result, equilibrium moves from point b to point c and price rises to P3.

Figure 2 illustrates the effect of speculation on the subsequent fall in prices triggered by a belief that price will fall. Speculative selling shifts the supply curve from S2 to S3. Potential demanders hold back and the demand curve shifts from D2 to D3. Equilibrium moves to point d and price falls from P3 to P4. (Click here for a PowerPoint of the two figures.)

But why did prices fall so dramatically? The first reason was that analysts were beginning to argue that the exuberance of investors had led the price of all three metals to overshoot the fundamental balance of supply and demand. Once a tipping point arrived, people sold quickly to lock in the gains they had made over previous weeks. This profit taking caused prices to plummet as speculation of further falls drove prices lower.

So what was the tipping point? This was the appointment by Donald Trump of Kevin Warsh as the new Chair of the Federal Reserve to take over from Jerome Powell when his tenure comes to an end in May this year.

It was expected that Trump would appoint someone much more willing to cut interest rates and this worried investors, who feared that inflation would rise again. This uncertainty drove demand for precious metals, which are seen as a safe haven. But Kevin Walsh is viewed as hawkish on monetary policy and less likely to slash interest rates than other possible choices for Chair. This triggered the fall in precious metal prices.

But the main factors that drove the demand for the metals still exist. There is still uncertainty, still an increased demand from central banks for gold, still a growing demand for silver and platinum for industrial uses. The next day, 3 February, it seemed that the prices of all three metals had over-corrected. Investors started buying again at the lower prices and consequently prices rose again – once more fuelled by speculation. Gold rose by 6.1%, platinum by 7.9% and silver by 11.6%.

Articles

Data

Questions

  1. What has happened to the price of silver since this blog was written? Use a demand and supply diagram to illustrate this.
  2. Identify the factors that affect the demand for and supply of (a) silver; (b) gold.
  3. What determines the elasticity of supply of silver (a) in total; (b) to the market?
  4. Choose another commodity other than the three metals considered in this blog. Find out what has happened to their prices over the past 12 months and explain why these price movements have occurred.
Posted on

AI stock: still under priced or a speculative bubble?

The share prices of various AI-related companies have soared in this past year. Recently, however, they have fallen – in some cases dramatically. Is this a classic case of a bubble that is bursting, or at least deflating?

Take the case of NVIDIA, the world’s most valuable company, with a market capitalisation of around $4.2 trillion (at current share prices). It designs and produces graphics cards and is a major player in AI. From a low of $86.62 April this year, its share price rose to a peak of $212.19 on 29 October. But then began falling as talk grew of an AI bubble. Despite news on 19 November that its 2025 Q3 earnings were up 62% to $57.0bn, beating estimates by 4%, its share price, after a temporary rise, began falling again. By 21 November, it was trading at around $180.

Other AI-related stocks have seen much bigger rises and falls. One of the biggest requirements for an AI revolution is data processing, which uses huge amounts of electricity. Massive data centres are being set up around the world. Several AI-related companies have been building such data centres. Some were initially focused largely on ‘mining’ bitcoin and other cryptocurrencies (see the blog, Trump and the market for crypto). But many are now changing focus to providing processing power for AI.

Take the case of the Canadian company, Bitfarms Ltd. As it says on its site: ‘With access to multiple energy sources and strategic locations, our U.S. data centers support both mining and high-performance computing growth opportunities’. Bitfarms’ share price was around CAD1.78 in early August this year. By 15 October, it had reached CAD9.27 – a 421% increase. It then began falling and by 24 November was CAD3.42 – a decline of over 63%.

Data centres do have huge profit potential as the demand for AI increases. Many analysts are arguing that the current share price of data centres undervalues their potential. But current profits of such companies are still relatively low, or they are currently loss making. This then raises the question of how much the demand for shares, and hence their price, depends on current profits or future potential. And a lot here depends on sentiment.

If people are optimistic, they will buy and this will lead to speculation that drives up the share price. If sentiment then turns and people believe that the share price is overvalued, with future profits too uncertain or less than previously thought, or if they simply believe that the share price has overshot the value that reflects a realistic profit potential, they will sell and this will lead to speculation that drives down the share price

The dot.com bubble of the late 1990s/early 2000s is a case in point. There was a stock market bubble from roughly 1995 to 2001, where speculative investment in internet-based companies caused their stock values to surge, peaking in late 1999/early 2000. There was then a dramatic crash. But then years later, many of these companies’ share prices had risen well above their peak in 2000.

Take the case of Amazon. In June 1997, its share price was $0.08. By mid-December 1999, it had reached $5.65. It then fell, bottoming out at $0.30 in September 2001. The dot-com bubble had burst.

But the potential foreseen in many of these new internet companies was not wrong. After 2001, Amazon’s share price began rising once more. Today, Amazon’s shares are trading at over $200 – the precise value again being driven largely by the company’s performance and potential and by sentiment.

So is the boom in AI-related stock a bubble? Given that the demand for AI is likely to continue growing rapidly, it is likely that the share price of companies providing components and infrastructure for AI is likely to continue growing in the long term. But just how far their share prices will fall in the short term is hard to call. Sentiment is a fickle thing.

Articles

Questions

  1. Using a supply and demand diagram, illustrate how speculation can drive up the share price of a company and then result in it falling.
  2. What is meant by overshooting in a market? What is the role of speculation in this process?
  3. Does a rapid rise in the price of an asset always indicate a bubble? Explain.
  4. What are the arguments for suggesting that markets are/are not experiencing an AI share price bubble? Does it depend of what part of the AI market is being considered?
  5. What is meant by the market capitalisation of a company? Is it a good basis for deciding whether or not a company’s share price is a true reflection of the company’s worth? What other information would you require?
  6. Find out what has been happening to the price of Bitcoin. What factors determine the price of Bitcoin? Do these factors make the price inherently unstable?
Posted on

The surging price of oil: a question of supply and demand

Global oil prices (Brent crude) reached $128 per barrel on 9 March, a level not seen for 10 years and surpassed only in the run up to the financial crisis in 2008. Oil prices are determined by global demand and supply, and the current surge in prices is no exception.

A rise in demand and/or a fall in supply will lead to a rise in the price. Given that both demand and supply are relatively price inelastic, such shifts can cause large rises in oil prices. Similarly, a fall in demand or rise in supply can lead to a large fall in oil prices.

These changes are then amplified by speculation. Traders try to get ahead of price changes. If people anticipate that oil prices will rise, they will buy now, or make a contract to buy more in the future at prices quoted today by buying on the oil futures market. This then pushes up both spot (current) prices and futures prices. If demand or supply conditions change, speculation will amplify the reaction to such a change.

What has happened since 2019?

In 2019, oil was typically trading at around $60 to $70 per barrel. It then fell dramatically in early 2020 as the onset of COVID-19 led to a collapse in demand, for both transport and industry. The price fell below $20 in late April (see charts: click here for a PowerPoint).

Oil prices then rose rapidly as demand recovered somewhat but supply chains, especially shipping, were suffering disruptions. By mid-2021, oil was once more trading at around $60 to $70 per barrel. But then demand grew more strongly as economic recovery from COVID accelerated. But supply could not grow so quickly. By January 2022, Brent crude had risen above $80 per barrel.

Then worries began to grow about Russian intentions over Ukraine as Russia embarked on large-scale military exercises close to the border with Ukraine. People increasingly disbelieved Russia’s declarations that it had no intention to invade. Russia is the world’s second biggest producer of oil and people feared that deliberate disruptions to supply by Russia or other countries banning imports of Russian oil would cause supply shortages. Speculation thus drove up the oil price. By 23 February, the day before the Russian invasion of Ukraine, Brent crude had risen to $95.

With the Russian invasion, moves were made by the EU the USA and other countries to ban or limit the purchase of Russian oil. This increased the demand for non-Russian oil.

On 8 March, the USA announced that it was banning the import of Russian oil with immediate effect. The same day, the UK announced that it would phase out the import of Russian oil and oil products by the end of 2022.

The EU is much more dependent on Russian oil imports, which account for around 27% of EU oil consumption and 2/3 of extra-EU oil imports. Nevertheless, it announced that it would accelerate the move away from Russian oil and gas and towards green alternatives. By 8 March, Brent crude had risen to $128 per barrel.

The question was then whether other sources of supply would help to fill the gap. Initially it seemed that OPEC+ (excluding Russia) would not increase production beyond the quotas previously agreed by the cartel to meet recovery in world demand. But then, on 9 March, the UAE Ambassador to Washington announced that the county favoured production increases and would encourage other OPEC members to follow suit. With the announcement, the oil price fell by 11% to £111. But the next day, it rose again somewhat as the UAE seemed to backtrack, but then fell back slightly as OPEC said there was no shortage of oil.

This is obviously an unfolding story with the suffering of the Ukrainian people at its heart. But the concepts of supply and demand and their price elasticity and the role of speculation are central to understanding what will happen to oil prices in the coming months with all the consequences for poverty and economic hardship.

Articles

Data

Questions

  1. Use a demand and supply diagram to illustrate what has happened to oil prices over the past two years. How has the size of the effects been dependent on the price elasticity of demand for oil and the price elasticity of supply of oil?
  2. Use a demand and supply diagram to show what has been happening to the price of natural gas over the past two years. Are the determinants similar to those in the oil market? How do they differ (if at all)?
  3. What policy options are open to governments to deal with soaring energy prices?
  4. What are the distributional consequences of the rise in energy prices? (see the blog: Rise in the cost of living.)
  5. Under what circumstances are oil prices over the next six months likely (a) fall; (b) continue rising?
Posted on

End of the bull run?

With the onset of the pandemic in early 2020, stock markets around the world fell dramatically, with many indices falling by 30% or more. In the USA, the Dow Jones fell by 37% and the Nasdaq fell by 30%. In the UK, the FTSE 100 fell by 33% and the FTSE 250 by 41%.

But with a combination of large-scale government support for their economies, quantitative easing by central banks and returning confidence of investors, stock markets then made a sustained recovery and have continued to grow strongly since – until recently, that is.


With inflation well above target levels, central banks have ended quantitative easing (QE) or have indicated that they soon will. Interest rates are set to rise, if only slowly. The Bank of England raised Bank Rate from its historic low of 0.1% to 0.25% on 16 December 2021 and ceased QE, having reached its target of £895 billion of asset purchases. On 4 February 2022, it raised Bank Rate to 0.5%. The Fed has announced that it will gradually raise interest rates and will end QE in March 2022, and later in the year could begin selling some of the assets it has purchased (quantitative tightening). The ECB is not ending QE or raising interest rates for the time being, but is likely to do so later in the year.

At the same time economic growth is slowing, leading to fears of stagflation. Governments are likely to dampen growth further by tightening fiscal policy. In the UK, national insurance is set to rise by 1.25 percentage points in April.

The slowdown in growth may discourage central banks from tightening monetary policy more than very slightly. Indeed, in the light of its slowing economy, the Chinese central bank cut interest rates on 20 January 2022. Nevertheless, it is likely that the global trend will be towards tighter monetary policy.

The fears of slowing growth and tighter monetary and fiscal policy have led many stock market investors to predict an end to the rise in stock market prices – an end to the ‘bull run’. This belief was reinforced by growing tensions between Russia and NATO countries and fears (later proved right) that Russia might invade Ukraine with all the turmoil in the global economy that this would entail. Stock market prices have thus fallen.

The key question is what will investors believe. If they believe that share prices will continue to fall they are likely to sell. This has happened since early January, especially in the USA and especially with stocks in the high-tech sector – such stocks being heavily represented in the Nasdaq composite, a broad-based index that includes over 2500 of the equities listed on the Nasdaq stock exchange. From 3 January to 18 February the index fell from 15 833 to 13 548, a fall of 14.4%. But will this fall be seen as enough to reflect the current economic and financial climate. If so, it could fluctuate around this sort of level.

However, some may speculate that the fall has further to go – that indices are still too high to reflect the earning potential of companies – that the price–earnings ratio is still too high for most shares. If this is the majority view, share prices will indeed fall.

Others may feel that 14.4% is an overcorrection and that the economic climate is not as bleak as first thought and that the Omicron coronavirus variant, being relatively mild for most people, especially if ‘triple jabbed’, may do less economic damage than first feared. In this scenario, especially if the tensions over Ukraine are diffused, people are likely to buy shares while they are temporarily low.

But a lot of this is second-guessing what other people will do – known as a Keynesian beauty contest situation. If people believe others will buy, they will too and this will push share prices up. If they think others will sell, they will too and this will push share prices down. They will all desperately wish they had a crystal ball as they speculate how people will interpret what central banks, governments and other investors will do.

Articles

Questions

  1. What changes in real-world factors would drive investors to (a) buy (b) sell shares at the current time?
  2. How does quantitative easing affect share prices?
  3. What is meant by the price-earnings ratio of a share? Is it a good indicator as to the likely movement of that share’s price? Explain.
  4. What is meant by a Keynesian beauty contest? How is it relevant to the stock market?
  5. Distinguish between stabilising and destabilising speculation and illustrate each with a demand and supply diagram. Explain the concept of overshooting in this context.
  6. Which is more volatile, the FTSE 100 or the FTSE 250? Explain.
  7. Read the final article linked above. Were the article’s predictions about the Fed meeting on 26 January borne out? Comment.