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
- What has happened to the price of silver since this blog was written? Use a demand and supply diagram to illustrate this.
- Identify the factors that affect the demand for and supply of (a) silver; (b) gold.
- What determines the elasticity of supply of silver (a) in total; (b) to the market?
- 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.
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
- Using a supply and demand diagram, illustrate how speculation can drive up the share price of a company and then result in it falling.
- What is meant by overshooting in a market? What is the role of speculation in this process?
- Does a rapid rise in the price of an asset always indicate a bubble? Explain.
- 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?
- 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?
- 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?
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
- What changes in real-world factors would drive investors to (a) buy (b) sell shares at the current time?
- How does quantitative easing affect share prices?
- 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.
- What is meant by a Keynesian beauty contest? How is it relevant to the stock market?
- Distinguish between stabilising and destabilising speculation and illustrate each with a demand and supply diagram. Explain the concept of overshooting in this context.
- Which is more volatile, the FTSE 100 or the FTSE 250? Explain.
- Read the final article linked above. Were the article’s predictions about the Fed meeting on 26 January borne out? Comment.
House prices are soaring throughout the world, making them unaffordable for many first-time buyers. In the UK, for example, according to the Nationwide, the annual house price increase was 13.4% in 2021 Q2. In the USA, house prices are rising by over 23% per annum.
The reason for this rampant house price inflation is that demand is rising much faster than supply. What is more, with inelastic supply in the short term, a given percentage rise in demand leads to a larger percentage increase in prices.
Reasons for rapidly rising house prices
But why has demand risen so rapidly? One major reason is that central banks have engaged in massive quantitative easing. This has driven down interest rates to historic lows and has led to huge asset purchases. Mortgage lenders, awash with money, have been able to increase the ratio of lending to income. Borrowing by house purchasers, encouraged by low interest rates and easy access to mortgages, has thus increased rapidly.
Another reason for the increased demand is that economies are beginning to recover from the COVID-induced recessions. This makes people more confident about their future financial positions and more willing to take on increased mortgage debt. Another reason is that, with increased working from home, people are looking for larger houses where rooms can be used as studies. Another is that, with less spending during the lockdowns, people have built up savings, which can be used to buy larger homes.
Some countries have deliberately boosted demand by fiscal measures. In the UK, the government introduced a stamp duty ‘holiday’. Previously a 3% ‘stamp duty’ tax was applied to purchases over £125 000. Under the holiday scheme, the rate would only apply to purchases over £500 000 until 30 June 2021 and then to purchases over £250 000 until 30 September 2021. This massively boosted demand, especially as the deadlines approached. In the USA, there are various schemes at federal and state level to support first-time buyers, including low-interest loans and vouchers. Supporting demand is counterproductive if it merely leads to higher prices and thus does not make it easier for people to buy.
Speculation has played a major part too, with many potential purchasers keen to buy before prices rise further. On the supply side, some vendors have held back hoping to get a higher price by waiting. Gazumping has returned. This is where vendors accept a new higher offer even though they have already accepted a previous lower one.
Effects of higher house prices
Higher house prices have had a knock-on effect on rents, which have also soared. This has encouraged house purchases for rent both by individuals and by property investment companies. The effect of rapidly rising house prices and rents has been to increase the divide in society between property owners and those unable to afford to buy and forced to rent.
Increased housing wealth is likely to lead to greater housing equity withdrawal. This is where people draw on some of their equity in order to finance increased consumer spending, thereby boosting aggregate demand and possibly inflation.
Will the house price boom end soon?
One scenario is that there will be a gradual slowdown in house price increases as quantitative easing is tapered off and as support measures, such as the UK’s stamp duty holiday, are unwound.
There is a real possibility, however, that there will be a more severe correction, with house prices actually falling. This could be triggered by central banks raising interest rates in response to higher inflation caused by the recovery and by higher commodity prices. In the UK, labour shortages brought about by Brexit could make the inflationary problem worse. With high levels of mortgage debt, even a half percentage point rise in mortgage interest rates could have a severe effect on demand. Falling house prices will then be compounded by speculation, with buyers holding off and sellers rushing to sell.
Articles
- “UK Boom the Biggest in 50 years” thanks to House Prices, but Oxford Economics Warn of Risks
PoundSterling Live, Gary Howes (18/6/21)
- US house prices see biggest rise in 30 YEARS and are outstripping Britain’s pandemic-fuelled boom: Is a global housing market bubble emerging?
This is Money, Helen Crane (1/7/21)
- House prices: urban exodus of upsizers shifts property demand
Business Telegraph (18/4/21)
- House prices rise at fastest pace in 17 years
BBC News (30/6/21)
- Runaway house prices: the ‘winners and losers’ from the pandemic
Financial Times, Delphine Strauss and Colby Smith (25/6/21)
- World’s Bubbliest Housing Markets Flash 2008 Style Warnings
Bloomberg, Enda Curran (15/6/21)
- House prices climb to record levels in US and Europe
Financial Times, Martin Arnold, Colby Smith and Matthew Rocco (22/6/21)
- With house prices through the roof, young buyers’ hopes go out the window
The Observer, Phillip Inman (3/7/21)
- Is the UK housing bubble about to burst? These are the best and worst scenarios
The Guardian, Josh Ryan-Collins (2/7/21)
- House prices: the risks of a fall are higher than most people think
The Conversation, Geoff Meen (28/6/21)
Data
Questions
- Use a supply and demand diagram to illustrate what has been happening to house prices. Illustrate the importance of the price elasticity of supply in the process.
- Under what circumstances might tax relief help or not help first-time buyers?
- Use a supply and demand diagram to illustrate the effect of speculation on house prices? Under what circumstances might speculation (a) make the market less stable; (b) help to stabilise the market?
- Explain what is meant by housing equity withdrawal. Using the Bank of England website, find out what has happened to housing equity withdrawal in the UK over the past 15 years. Explain.
- Under what circumstances would a sudden house price correction be more likely?
- Write a critique of housing policy in the light of growing inter-generational inequality of wealth.
Bubbles
Speculation in markets can lead to wild swings in prices as exuberance drives up prices and
pessimism leads to price crashes. When the rise in price exceeds underlying fundamentals, such as profit, the result is a bubble. And bubbles burst.
There have been many examples of bubbles throughout history. One of the most famous is that of tulips in the 17th century. As Box 2.4 in Essential Economics for Business (6th edition) explains:
Between November 1636 and February 1637, there was a 20-fold increase in the price of tulip bulbs, such that a skilled worker’s annual salary would not even cover the price of one bulb. Some were even worth more than a luxury home! But, only three months later, their price had fallen by 99 per cent. Some traders refused to pay the high price and others began to sell their tulips. Prices began falling. This dampened demand (as tulips were seen to be a poor investment) and encouraged more people to sell their tulips. Soon the price was in freefall, with everyone selling. The bubble had burst .
Another example was the South Sea Bubble of 1720. Here, shares in the South Sea Company, given a monopoly by the British government to trade with South America, increased by 900% before collapsing through a lack of trade.
Another, more recent, example is that of Poseidon. This was an Australian nickel mining company which announced in September 1969 that it had discovered a large seam of nickel at Mount Windarra, WA. What followed was a bubble. The share price rose from $0.80 in mid-1969 to a peak of $280 in February 1970 and then crashed to just a few dollars.
Other examples are the Dotcom bubble of the 1990s, the US housing bubble of the mid-2000s and BitCoin, which has seen more than one bubble.
Bubbles always burst eventually. If you buy at a low price and sell at the peak, you can make a lot of money. But many will get their fingers burnt. Those who come late into the market may pay a high price and, if they are slow to sell, can then make a large loss.
GameStop shares – an unlikely candidate for a bubble
The most recent example of a bubble is GameStop. This is a chain of shops in the USA selling games, consoles and other electronic items. During the pandemic it has struggled, as games consumers have turned to online sellers of consoles and online games. It has been forced to close a number of stores. In July 2020, its share price was around $4. With the general recovery in stock markets, this drifted upwards to just under $20 by 12 January 2021.
Then the bubble began.
Hedge fund shorting
Believing that the GameStop shares were now overvalued and likely to fall, many hedge funds started shorting the shares. Shorting (or ‘short selling’) is where investors borrow shares for a fee and immediately sell them on at the current price, agreeing to return them to the lender on a specified day in the near future (the ‘expiration date’). But as the investors have sold the shares they borrowed, they must now buy them at the current price on or before the expiration date so they can return them to the lenders. If the price falls between the two dates, the investors will gain. For example, if you borrow shares and immediately sell them at a current price of £5 and then by the expiration date the price has fallen to $2 and you buy them back at that price to return them to the lender, you make a £3 profit.
But this is a risky strategy. If the price rises between the two dates, investors will lose – as events were to prove.
The swarm of small investors
Enter the ‘armchair investor’. During lockdown, small-scale amateur investing in shares has become a popular activity, with people seeking to make easy gains from the comfort of their own homes. This has been facilitated by online trading platforms such as Robinhood and Trading212. These are easy and cheap, or even free, to use.
What is more, many users of these sites were also collaborating on social media platforms, such as Reddit. They were encouraging each other to buy shares in GameStop and some other companies. In fact, many of these small investors were seeing it as a battle with large-scale institutional investors, such as hedge funds – a David vs. Goliath battle.
With swarms of small investors buying GameStop, its share price surged. From $20 on 12 January, it doubled in price within two days and had reached $77 by 25 January. The frenzy on Reddit then really gathered pace. The share price peaked at $468 early on 28 January. It then fell to $126 less than two hours later, only to rise again to $354 at the beginning of the next day.
Many large investors who had shorted GameStop shares made big losses. Analytics firm Ortex estimated that hedge funds lost a total of $12.5 billion in January. Many small investors, however, who bought early and sold at the peak made huge gains. Other small investors who got the timing wrong made large losses.
And it was not just GameStop. Social media were buzzing with suggestions about buying shares in other poorly performing companies that large-scale institutional investors were shorting. Another target was silver and silver mines. At one point, silver prices rose by more than 10% on 1 February. However, money invested in silver is huge relative to GameStop and hence small investors were unlikely to shift prices by anything like as much as GameStop shares.
Amidst this turmoil, the US Securities and Exchange Commission (SEC) issued a statement on 29 January. It warned that it was working closely with other regulators and the US stock exchange ‘to ensure that regulated entities uphold their obligations to protect investors and to identify and pursue potential wrongdoing’. It remains to be seen, however, what it can do to curb the concerted activities of small investors. Perhaps, only the experience of bubbles bursting and the severe losses that can result will make small investors think twice about backing failing companies. Some Davids may beat Goliath; others will be defeated.
Articles
- GameStop: The competing forces trading blows over lowly gaming retaile
Sky News (30/1/21)
- Tempted to join the GameStop ‘angry mob’? Lessons on bubbles, market abuse and stock picking from the investment experts… including perma-bear Albert Edwards
This is Money, Tanya Jefferies (29/1/21)
- A year ago on Reddit I suggested investing in GameStop. But I never expected this
The Guardian, Desmund Delaney (29/1/21)
- The real lesson of the GameStop story is the power of the swarm
The Guardian, Brett Scott (30/1/21)
- GameStop: What is it and why is it trending?
BBC News, Kirsty Grant (29/1/21)
- GameStop: Global watchdogs sound alarm as shares frenzy grows
BBC News (30/1/21)
- The GameStop affair is like tulip mania on steroids
The Guardian, Dan Davies (29/1/21)
- GameStop news: Short sellers lose $19bn as Omar says billionaires who pressured apps should go to jail
Independent, Andy Gregory, Graig Graziosi and Justin Vallejo (30/1/21)
- Robinhood tightens GameStop trading curbs again as SEC weighs in
Financial Times, Michael Mackenzie, Colby Smith, Kiran Stacey and Miles Kruppa (29/1/21)
- SEC Issues Vague Threats Against Everyone Involved in the GameStop Stock Saga
Gizmodo, Andrew Couts (29/1/21)
- SEC warns it is monitoring trade after GameStop surge
RTE News (29/1/21)
- GameStop short-squeeze losses at $12.5 billion YTD – Ortex data
Reuters (1/2/21)
- GameStop: I’m one of the WallStreetBets ‘degenerates’ – here’s why retail trading craze is just getting started
The Conversation, Mohammad Rajjaque (3/2/21)
- What the GameStop games really mean
Shares Magazine, Russ Mould (4/2/21)
Data
Questions
- Distinguish between stabilising and destabilising speculation.
- Use a demand and supply diagram to illustrate destabilising speculation.
- Explain how short selling contributed to the financial crisis of 2007/8 (see Box 2.7 in Economics (10th edition) or Box 3.4 in Essentials of Economics (8th edition)).
- Why won’t shares such as GameStop go on rising rapidly in price for ever? What limits the rise?
- Find out some other shares that have been trending among small investors. Why were these specific shares targeted?
- How has quantitative easing impacted on stock markets? What might be the effect of a winding down of QE or even the use of quantitative tightening?
