Both the financial and goods markets are heavily influenced by sentiment. And such sentiment tends to be self-reinforcing. If consumers and investors are pessimistic, they will not spend and not invest. The economy declines and this further worsens sentiment and further discourages consumption and investment. Banks become less willing to lend and stock markets fall. The falling stock markets discourage people from buying shares and so share prices fall further. The despondency becomes irrational and greatly exaggerates economic fundamentals.
This same irrationality applies in a boom. Here it becomes irrational exuberance. A boom encourages confidence and stimulates consumer spending and investment. This further stimulates the boom via the multiplier and accelerator and further inspires confidence. Banks are more willing to lend, which further feeds the expansion. Stock markets soar and destabilising speculation further pushes up share prices. There is a stock market bubble.
But bubbles burst. The question is whether the current global stock market boom, with share prices reaching record levels, represents a bubble. One indicator is the price/earnings (PE) ratio of shares. This is the ratio of share prices to earnings per share. Currently the ratio for the US index, S&P 500, is just over 26. This compares with a mean over the past 147 years of 15.64. The current ratio is the third highest after the peaks of the early 2000s and 2008/9.
An alternative measure of the PE ratio is the Shiller PE ratio (see also). This is named after Robert Shiller, who wrote the book Irrational Exuberance. Unlike conventional PE ratios, which only look at average earnings over the past four quarters, the Shiller PE ratio uses average earnings over the past 10 years. “Because this factors in earnings from the previous ten years, it is less prone to wild swings in any one year.”
The current level of the Shiller PE ratio is 29.14, the third highest on record, this time after the period running up to the Wall Street crash of 1929 and the dot-com bubble of the late 1990s. The mean Shiller PE ratio over the past 147 years is 16.72.
So are we in a period of irrational exuberance? And are stock markets experiencing a bubble that sooner or later will burst? The following articles explore these questions.
Articles
2 Clear Instances of Irrational Exuberance Seeking Alpha, Jeffrey Himelson (12/2/17)
Promised land of Trumpflation-inspired global stimulus has been slow off the mark South China Morning Post, David Brown (20/2/17)
A stock market crash is a way off, but this boom will turn to bust The Guardian, Larry Elliott (16/2/17)
The “boring” bubble is close to bursting – the Unilever bid proves it MoneyWeek, John Stepek (20/2/17)
Questions
- Find out what is meant by Minksy’s ‘financial instability hypothesis’ and a ‘Minsky moment’. How might they explain irrational exuberance and the sudden turning point from a boom to a bust?
- Is it really irrational to buy shares with a very high PE ratio if everyone else is doing so?
- Why are people currently exuberant?
- What might cause the current exuberance to end?
- How does irrational exuberance affect the size of the multiplier?
- How might the behaviour of banks and other financial institutions contribute towards a boom fuelled by irrational exuberance?
- Compare the usefulness of a standard PE ratio with the Shiller PE ratio.
- Other than high PE ratios, what else might suggest that stock markets are overvalued?
- Why might a company’s PE ratio differ from its price/dividends ratio (see)? Which is a better measure of whether or not a share is overvalued?
Is too much expected of economists? When economic forecasts turn out to be wrong, as they often are, economists are criticised for having inaccurate or unrealistic models. But is this a fair criticism?
The following article by Richard Whittle from Manchester Metropolitan University looks at what economists can and cannot do. The article highlights two key problems for economic forecasting.
The first concerns human behaviour, which is influenced by a whole range of factors and can change very rapidly in response to changing circumstances. Moods of optimism or pessimism can quickly spread in response to a news item, such as measures announced by Donald Trump or latest data on growth or the housing market.
The second concerns the whole range of possible economic shocks. Such shocks, by their very nature, are hard to predict and can quickly make forecasts wrong. They could be a surprise election result, a surprise government policy change, a natural disaster, a war or a series of terrorist attacks. And these shocks, in turn, affect human behaviour. Consumption and investment may rise or fall as the events affect confidence and herd behaviour.
But is it a fair criticism of economics that it cannot foretell the future? Do economists, as the article says, throw up their hands and curse economics as a futile endeavour? Not surprisingly, the answer given is no! The author gives an analogy with medicine.
A doctor cannot definitely prevent illness, but can offer advice on prevention and hopefully offer a cure if you do get ill. This is the same for the work economists do.
Economists can offer advice on preventing crises or slowdowns but cannot definitively prevent them from happening. Economists can also offer robust advice on restoring growth, although when the advice is that the economy has grown too fast and should slow, it is often not welcomed by policy makers.
Helping understanding the various drivers in an economy and how humans are likely to respond to various incentives is a key part of what economists do. But making predictions with 100% certainty is asking too much of economists.
And just as medical professionals can predict that if you smoke, eat unhealthy food or take no exercise you are likely to be less healthy and die younger, but cannot say precisely when an individual will die, so too economists can predict that certain policy measures are likely to increase or decrease GDP or employment or inflation, but they cannot say precisely how much they will be affected.
As the article says, “the true value of the economist lies not in mystical fortune telling, but in achieving a better understanding of the nature of the economies in which we live and work.”
Article
How to be an economist in 2017 The Conversation, Richard Whittle (24/1/17)
Questions
- For what reasons has economics been ‘in crisis’? What is the solution to this crisis?
- Look at some macroeconomic forecasts for a country of your choice made two years ago for today (see, for example, forecasts made by the IMF, OECD or a central bank). How accurate were they? Explain any inaccuracies.
- To what extent is economic forecasting like weather forecasting?
- What is meant by cumulative causation? Give some examples. Why does cumulative causation make economic forecasting difficult?
- How is the increased usage of contactless card payments likely to affect spending patterns? Explain why.
- Why is it difficult to forecast the effects of Brexit?
- How can economic advisors help governments in designing policy?
- Why do people tend to overweight high probabilities and underweight low ones?
GDP is often used as a measure of wellbeing, even though it is really only a measure of the market value of a nation’s output or an indicator of economic activity. But although higher consumption can improve living standards, it is only one contributor to wellbeing, whether at individual or social level.
There are essentially four types of problems from using GDP as a measure of how society is doing.
The first is that it does not include (as negative figures) many external costs, such as pollution, stress and family breakdown related to work.
The second is that it includes things that are produced to counteract the adverse effects of increased production, such as security, antidepressants, therapy and clean-up activities.
The third is that it ignores things that are produced and do contribute to wellbeing and yet are not traded in the market. Examples include volunteer work, the ‘output’ of clubs and societies, work within the home, production from allotments and various activities taking place in the ‘underground economy’ to avoid taxation.
The fourth is the sustainability of economic growth. If we deplete natural resources, the growth of today may be at the cost of the wellbeing of future generations.
Then there is the question of the distribution of the benefits of production. Although GDP figures can be adjusted for distribution, crude GDP growth figures are not. If a few wealthy get a lot richer and the majority do not, or even get poorer, a growth in GDP will not signify a growth in wellbeing of the majority.
Then there is the question of the diminishing marginal utility of income. If an extra pound to a rich person gives less additional wellbeing than an extra pound to a poor person, then any given growth rate accompanied by an increase in inequality will contribute less to wellbeing than the same growth rate accompanied by a decrease in inequality.
The first article below criticises the use of crude indicators, such as the growth in GDP or stock market prices to signify wellbeing. It also looks at some alternative indicators that can capture some of the contributions to wellbeing missed by GDP figures.
Articles
Want to know how society’s doing? Forget GDP – try these alternatives The Guardian, Mark Rice-Oxley (27/1/17)
The Increasingly Inadequate Measurement Of Productivity The Market Mogul, Chris Woods (20/1/17)
Why GDP fails as a measure of well-being CBS News, Mark Thoma (27/1/16)
Limitations of GDP as Welfare Indicator The Sceptical Economist, zielonygrzyb (31/7/12)
Questions
- Should GDP be abandoned as an indicator?
- How could GDP be refined to capture more of the factors affecting wellbeing?
- Go through each of the indicators discussed in the first article above and consider their suitability as an indicator of wellbeing.
- “Everywhere you look, there are better benchmarks than these tired old financial yardsticks.” Identify three such indicators not considered in the first article and discuss their suitability as measures of economic performance.
- How might the benefit you gain from free apps be captured?
- Consider the suitability of these alternatives to GDP.
Economic forecasting came in for much criticism at the time of the financial crisis and credit crunch. Few economists had predicted the crisis and its consequences. Even Queen Elizabeth II, on a visit to the London School of Economics in November 2008, asked why economists had got it so wrong. Similar criticisms have emerged since the Brexit vote, with economic forecasters being accused of being excessively pessimistic about the outcome.
The accuracy of economic forecasts was one of the topics discussed by Andy Haldane, Chief Economist at the Bank of England. Speaking at the Institute for Government in London, he compared economic forecasting to weather forecasting (see section from 15’20” in the webcast):
“Remember that? Michael Fish getting up: ‘There’s no hurricane coming but it will be very windy in Spain.’ Very similar to the sort of reports central banks – naming no names – issued pre-crisis, ‘There is no hurricane coming but it might be very windy in the sub-prime sector.” (18’40”)
The problem with the standard economic models which were used for forecasting is that they were essentially equilibrium models which work reasonably well in ‘normal’ times. But when there is a large shock to the economic system, they work much less well. First, the shocks themselves are hard to predict. For example, the sub-prime crisis in 2007/8 was not foreseen by most economists.
Then there is the effect of the shocks. Large shocks are much harder to model as they can trigger strong reactions by consumers and firms, and governments too. These reactions are often hugely affected by sentiment. Bouts of pessimism or even panic can grip markets, as happened in late 2008 with the collapse of Lehman Brothers. Markets can tumble way beyond what would be expected by a calm adjustment to a shock.
It can work the other way too. Economists generally predicted that the Brexit vote would lead to a fall in GDP. However, despite a large depreciation of sterling, consumer sentiment held up better than was expected and the economy kept growing.
But is it fair to compare economic forecasting with weather forecasting? Weather forecasting is concerned with natural phenomena and only seeks to forecast with any accuracy a few days ahead. Economic forecasting, if used correctly, highlights the drivers of economic change, such as government policy or the Brexit vote, and their likely consequences, other things being equal. Given that economies are constantly being affected by economic shocks, including government or central bank actions, it is impossible to forecast the state of the macroeconomy with any accuracy.
This does not mean that forecasting is useless, as it can highlight the likely effects of policies and take into account the latest surveys of, say, consumer and business confidence. It can also give the most likely central forecast of the economy and the likely probabilities of variance from this central forecast. This is why many forecasts use ‘fan charts’: see, for example, Bank of England forecasts.
What economic forecasts cannot do is to predict the precise state of the economy in the future. However, they can be refined to take into account more realistic modelling, including the modelling of human behaviour, and more accurate data, including survey data. But, however refined they become, they can only ever give likely values for various economic variables or likely effects of policy measures.
Webcast
Andy Haldane in Conversation Institute for Government (5/1/17)
Articles
‘Michael Fish’ Comments From Andy Haldane Pounced Upon By Brexit Supporters Huffington Post, Chris York (6/1/17)
Crash was economists’ ‘Michael Fish’ moment, says Andy Haldane BBC News (6/1/17)
The Bank’s ‘Michael Fish’ moment BBC News, Kamal Ahmed (6/1/17)
Bank of England’s Haldane admits crisis in economic forecasting Financial Times, Chris Giles (6/1/17)
Chief economist of Bank of England admits errors in Brexit forecasting BBC News, Phillip Inman (5/1/17)
Economists have completely failed us. They’re no better than Mystic Meg The Guardian, Simon Jenkins (6/1/17)
Five things economists can do to regain trust The Guardian, Katie Allen and Phillip Inman (6/1/17)
Andy Haldane: Bank of England has not changed view on negative impact of Brexit Independent, Ben Chu (5/1/17)
Big data could help economists avoid any more embarrassing Michael Fish moments Independent, Hamish McRae (7/1/17)
Questions
- In what ways does economic forecasting differ from weather forecasting?
- How might economic forecasting be improved?
- To what extent were the warnings of the Bank of England made before the Brexit vote justified? Did such warnings take into account actions that the Bank of England was likely to take?
- How is the UK economy likely to perform over the coming months? What assumptions are you making here?
- Brexit hasn’t happened yet. Why is it extremely difficult to forecast today what the effects of actually leaving the EU will be on the UK economy once it has happened?
- If economic forecasting is difficult and often inaccurate, should it be abandoned?
- The Bank of England is forecasting that inflation will rise in the coming months. Discuss reasons why this forecast is likely to prove correct and reasons why it may prove incorrect.
- How could economic forecasters take the possibility of a Trump victory into account when making forecasts six months ago of the state of the global economy a year or two ahead?
- How might the use of big data transform economic forecasting?
The economic climate remains uncertain and, as we enter 2017, we look towards a new President in the USA, challenging negotiations in the EU and continuing troubles for High Street stores. One such example is Next, a High Street retailer that has recently seen a significant fall in share price.
Prices of clothing and footwear increased in December for the first time in two years, according to the British Retail Consortium, and Next is just one company that will suffer from these pressures. This retail chain is well established, with over 500 stores in the UK and Eire. It has embraced the internet, launching its online shopping in 1999 and it trades with customers in over 70 countries. However, despite all of the positive actions, Next has seen its share price fall by nearly 12% and is forecasting profits in 2017 to be hit, with a lack of growth in earnings reducing consumer spending and thus hitting sales.
The sales trends for Next are reminiscent of many other stores, with in-store sales falling and online sales rising. In the days leading up to Christmas, in-store sales fell by 3.5%, while online sales increased by over 5%. However, this is not the only trend that this latest data suggests. It also indicates that consumer spending on clothing and footwear is falling, with consumers instead spending more money on technology and other forms of entertainment. Kirsty McGregor from Drapers magazine said:
“I think what we’re seeing there is an underlying move away from spending so much money on clothing and footwear. People seem to be spending more money on going out and on technology, things like that.”
Furthermore, with price inflation expected to rise in 2017, and possibly above wage inflation, spending power is likely to be hit and it is spending on those more luxury items that will be cut. With Next’s share price falling, the retail sector overall was also hit, with other companies seeing their share prices fall as well, although some, such as B&M, bucked the trend. However, the problems facing Next are similar to those facing other stores.
But for Next there is more bad news. It appears that the retail chain has simply been underperforming for some time. We have seen other stores facing similar issues, such as BHS and Marks & Spencer. Neil Wilson from ETX Capital said:
“The simple problem is that Next is underperforming the market … UK retail sales have held up in the months following the Brexit vote but Next has suffered. It’s been suffering for a while and needs a turnaround plan … The brand is struggling for relevancy, and risks going the way of Marks & Spencer on the clothing front, appealing to an ever-narrower customer base.”
Brand identity and targeting customers are becoming ever more important in a highly competitive High Street that is facing growing competition from online traders. Next is not the first company to suffer from this and will certainly not be the last as we enter what many see as one of the most economically uncertain years since the financial crisis.
Next’s gloomy 2017 forecast drags down fashion retail shares The Guardian, Sarah Butler and Julia Kollewe (4/1/17)
Next shares plummet after ‘difficult’ Christmas trading The Telegraph, Sam Dean (4/1/17)
Next warns 2017 profits could fall up to 14% as costs grow Sky News, James Sillars (4/1/17)
Next warns on outlook as sales fall BBC News (4/1/17)
Next chills clothing sector with cut to profit forecast Reuters, James Davey (4/1/17)
Next shares drop after warning of difficult winter Financial Times, Mark Vandevelde (22/10/15)
Questions
- With Next’s warning of a difficult winter, its share price fell. Using a diagram, explain why this happened.
- Why have shares in other retail companies also been affected following Next’s report on its profit forecast for 2017?
- Which factors have adversely affected Next’s performance over the past year? Are they the same as the factors that have affected Marks & Spencer?
- Next has seen a fall in profits. What is likely to have caused this?
- How competitive is the UK High Street? What type of market structure would you say that it fits into?
- With rising inflation expected, what will this mean for consumer spending? How might this affect economic growth?
- One of the factors affecting Next is higher import prices. Why have import prices increased and what will this mean for consumer spending and sales?
Both the financial and goods markets are heavily influenced by sentiment. And such sentiment tends to be self-reinforcing. If consumers and investors are pessimistic, they will not spend and not invest. The economy declines and this further worsens sentiment and further discourages consumption and investment. Banks become less willing to lend and stock markets fall. The falling stock markets discourage people from buying shares and so share prices fall further. The despondency becomes irrational and greatly exaggerates economic fundamentals.
But bubbles burst. The question is whether the current global stock market boom, with share prices reaching record levels, represents a bubble. One indicator is the price/earnings (PE) ratio of shares. This is the ratio of share prices to earnings per share. Currently the ratio for the US index, S&P 500, is just over 26. This compares with a mean over the past 147 years of 15.64. The current ratio is the third highest after the peaks of the early 2000s and 2008/9.
The current level of the Shiller PE ratio is 29.14, the third highest on record, this time after the period running up to the Wall Street crash of 1929 and the dot-com bubble of the late 1990s. The mean Shiller PE ratio over the past 147 years is 16.72.