Tag: confidence

Consumer and business confidence reflect the sentiment, emotion, or anxiety of consumers and businesses. Confidence surveys therefore try to capture these feelings of optimism or pessimism. They aim to shed light on spending intentions and hence the short-term prospects for private-sector spending. For example, a fall in confidence would be expected to lead to a fall in consumption and investment spending. This is particularly relevant in the UK with the ongoing uncertainty around Brexit. We briefly summarise here current patterns in confidence.

Through the use of surveys attempts are made to measure confidence. One long-standing survey is that conducted for the European Commission. Each month consumers and firms across the European Union are asked a series of questions, the answers to which are used to compile indicators of consumer and business confidence. For instance, consumers are asked about how they expect their financial position to change. They are offered various options such as ‘get a lot better, ‘get a lot worse’ and balances are then calculated on the basis of positive and negative replies.

The chart plots confidence in the UK for consumers and different sectors of business since the mid 1990s. The chart captures the volatility of confidence. This volatility is generally greater amongst businesses than consumers, and especially so in the construction sector. (Click here to download a PowerPoint copy of the chart.)

The chart nicely captures the collapse in confidence during the global financial crisis in the late 2000s. The significant tightening of credit conditions contributed to a significant dampening of aggregate demand which was further propagated (amplified) by the collapse in confidence. Consequently, the economy slid in to recession with national output contracting by 6.3 per cent during the 5 consecutive quarters during which output fell.

To this point, the current weakening of confidence is not of the same magnitude as that of the late 2000s. In January 2009 consumer confidence had fallen to an historic low of -35. Nonetheless, the December 2018 figure for consumer confidence was -9, the lowest figure since July 2016 the month following the EU referendum, and markedly lower than the +8 seen as recently as 2014. The long-term (median) average for the consumer confidence balance is -6.

The weakening in consumer confidence is mirrored by a weakening in confidence in the retail and service sectors. The confidence balances in December 2018 in these two sector both stood at -8 which compares to their longer-term averages of around +5. In contrast, confidence in industry and construction has so far held fairly steady with confidence levels in December 2018 at +8 in industry and at 0 in construction compared to their long-term averages of -4 and -10 respectively.

It will be interesting to see how confidence has been affected by recent events. The glut of stories suggesting that trading conditions were especially difficult for retailers over the Christmas and New Year period is consistent with the weakening confidence already observed amongst consumers and retailers. However, it is unlikely that recent events will have done anything other than to exacerbate the trend for a weakening of confidence of domestic consumers and retailers. Hence, the likelihood is an intensification of caution and prudence.

Articles

Questions

  1. Draw up a series of factors that you think might affect both consumer and business confidence. How similar are both these lists?
  2. Which of the following statements is likely to be more accurate: (a) Confidence drives economic activity or (b) Economic activity drives confidence?
  3. What macroeconomic indicators would those compiling the consumer and business confidence indicators expect each indicator to predict?
  4. What is meant by the concept of ‘prudence’ in the context of spending? What factors might determine the level of prudence
  5. How might prudence be expected to affect spending behaviour?
  6. How might we distinguish between confidence shocks’ and confidence as a ‘propagator’ of shocks?

It is impossible to make both precise and accurate forecasts of a country’s rate of economic growth, even a year ahead. And the same goes for other macroeconomic variables, such as the rate of unemployment or the balance of trade. The reason is that there are so many determinants of these variables, such as political decisions or events, which themselves are unpredictable. Economics examines the effects of human interactions – it is a social science, not a natural science. And human behaviour is hard to forecast.

Leading indicators

Nevertheless, economists do make forecasts. These are best estimates, taking into account a number of determinants that can be currently measured, such as tax or interest rate changes. These determinants, or ‘leading indicators’, have been found to be related to future outcomes. For example, surveys of consumer and business confidence give a good indication of future consumer expenditure and investment – key components of GDP.

Leading indicators do not have to be directly causal. They could, instead, be a symptom of underlying changes that are themselves likely to affect the economy in the future. For example, changes in stock market prices may reflect changes in confidence or changes in liquidity. It is these changes that are likely to have a direct or indirect causal effect on future output, employment, prices, etc.

Macroeconomic models show the relationships between variables. They show how changes in one variable (e.g. increased investment) affect other variables (e.g. real GDP or productivity). So when an indicator changes, such as a rise in interest rates, economists use these models to estimate the likely effect, assuming other things remain constant (ceteris paribus). The problem is that other things don’t remain constant. The economy is buffeted around by a huge range of events that can affect the outcome of the change in the indicator or the variable(s) it reflects.

Forecasting can never therefore be 100% accurate (except by chance). Nevertheless, by carefully studying leading indicators, economists can get a good idea of the likely course of the economy.

Leading indicators of the US economy

At the start of 2019, several leading indicators are suggesting the US economy is likely to slow and might even go into recession. The following are some of the main examples.

Political events. This is the most obvious leading indicator. If decisions are made that are likely to have an adverse effect on growth, a recession may follow. For example, decisions in the UK Parliament over Brexit will directly impact on UK growth.

As far as the USA is concerned, President Trump’s decision to put tariffs on steel and aluminium imports from a range of countries, including China, the EU and Canada, led these countries to retaliate with tariffs on US imports. A tariff war has a negative effect on growth. It is a negative sum game. Of course, there may be a settlement, with countries agreeing to reduce or eliminate these new tariffs, but the danger is that the trade war may continue long enough to do serious damage to global economic growth.

But just how damaging it is likely to be is impossible to predict. That depends on future political decisions, not just those of the recent past. Will there be a global rise in protectionism or will countries pull back from such a destructive scenario? On 29 December, President Trump tweeted, ‘Just had a long and very good call with President Xi of China. Deal is moving along very well. If made, it will be very comprehensive, covering all subjects, areas and points of dispute. Big progress being made!’ China said that it was willing to work with the USA over reaching a consensus on trade.

Rises in interest rates. If these are in response to a situation of excess demand, they can be seen as a means of bringing inflation down to the target level or of closing a positive output gap, where real national income is above its potential level. They would not signify an impending recession. But many commentators have interpreted rises in interest rates in the USA as being different from this.

The Fed is keen to raise interest rates above the historic low rates that were seen as an ’emergency’ response to the financial crisis of 2007–8. It is also keen to reverse the policy of quantitative easing and has begun what might be described as ‘quantitative tightening’: not buying new bonds when existing ones that it purchased during rounds of QE mature. It refers to this interest rate and money supply policy as ‘policy normalization‘. The Fed maintains that such policy is ‘consistent with sustained expansion of economic activity, strong labor market conditions, and inflation near the Committee’s symmetric 2 percent objective over the medium term’.

However, many commentators, including President Trump, have accused the Fed of going too fast in this process and of excessively dampening the economy. It has already raised the Federal Funds Rate nine times by 0.25 percentage points each time since December 2015 (click here for a PowerPoint file of the chart). What is more, announcing that the policy will continue makes such announcements themselves a leading indicator of future rises in interest rates, which are a leading indicator of subsequent effects on aggregate demand. The Fed has stated that it expects to make two more 0.25 percentage point rises during 2019.

Surveys of consumer and business confidence. These are some of the most significant leading indicators as consumer confidence affects consumer spending and business confidence affects investment. According to the Duke CFO Global Business Outlook, an influential survey of Chief Financial Officers, ‘Nearly half (48.6 per cent) of US CFOs believe that the US will be in recession by the end of 2019, and 82 per cent believe that a recession will have begun by the end of 2020’. Such surveys can become self-fulfilling, as a reported decline in confidence can itself undermine confidence as both firms and consumers ‘catch’ the mood of pessimism.

Stock market volatility. When stock markets exhibit large falls and rises, this is often a symptom of uncertainty; and uncertainty can undermine investment. Stock market volatility can thus be a leading indicator of an impending recession. One indicator of such volatility is the VIX index. This is a measure of ’30-day expected volatility of the US stock market, derived from real-time, mid-quote prices of S&P 500® Index (SPXSM) call and put options. On a global basis, it is one of the most recognized measures of volatility – widely reported by financial media and closely followed by a variety of market participants as a daily market indicator.’ The higher the index, the greater the volatility. Since 2004, it has averaged 18.4; from 17 to 28 December 2018, it averaged 28.8. From 13 to 24 December, the DOW Jones Industrial Average share index fell by 11.4 per cent, only to rise by 6.2 per cent by 27 December. On 26 December, the S&P 500 index rallied 5 per cent, its best gain since March 2009.

Not all cases of market volatility, however, signify an impending recession, but high levels of volatility are one more sign of investor nervousness.

Oil prices. When oil prices fall, this can be explained by changes on the demand and/or supply side of the oil market. Oil prices have fallen significantly over the past two months. Until October 2018, oil prices had been rising, with Brent Crude reaching $86 per barrel by early October. By the end of the year the price had fallen to just over $50 per barrel – a fall of 41 per cent. (Click here for a PowerPoint file of the chart.) Part of the explanation is a rise in supply, with shale oil production increasing and also increased output from Russia and Saudi Arabia, despite a commitment by the two countries to reduce supply. But the main reason is a fall in demand. This reflects both a fall in current demand and in anticipated future demand, with fears of oversupply causing oil companies to run down stocks.

Falling oil prices resulting from falling demand are thus an indicator of lack of confidence in the growth of future demand – a leading indicator of a slowing economy.

The yield curve. This depicts the yields on government debt with different lengths to maturity at a given point in time. Generally, the curve slopes upwards, showing higher rates of return on bonds with longer to maturity. This is illustrated by the blue line in the chart. (Click here for a PowerPoint file of the chart.) This is as you would expect, with people requiring a higher rate of return on long-term lending, where there is normally greater uncertainty. But, as the Bloomberg article, ‘Don’t take your eyes off the yield curve‘ states:

Occasionally, the curve flips, with yields on short-term debt exceeding those on longer bonds. That’s normally a sign investors believe economic growth will slow and interest rates will eventually fall. Research by the Federal Reserve Bank of San Francisco has shown that an inversion has preceded every US recession for the past 60 years.
 
The US economy is 37 quarters into what may prove to be its longest expansion on record. Analysts surveyed by Bloomberg expect gross domestic product growth to come in at 2.9 percent this year, up from 2.2 percent last year. Wages are rising as unfilled vacancies hover near all-time highs.
 
With times this good, the biggest betting game on Wall Street is when they’ll go bad. Barclays Plc, Goldman Sachs Group Inc., and other banks are predicting inversion will happen sometime in 2019. The conventional wisdom: Afterward it’s only a matter of time – anywhere from 6 to 24 months – before a recession starts.

As you can see from the chart, the yield curve on 24 December 2018 was still slightly upward sloping (expect between 6-month and 1-year bonds) – but possibly ready to ‘flip’.

However, despite the power of an ‘inverted’ yield in predicting previous recessions, it may be less reliable now. The Fed, as we saw above, has already signalled that it expects to increase short-term rates in 2019, probably at least twice. That alone could make the yield curve flatter or even downward sloping. Nevertheless, it is still generally thought that a downward sloping yield curve would signal belief in a likely slowdown, if not outright recession.

So, is the USA heading for recession?

The trouble with indicators is that they suggest what is likely – not what will definitely happen. Governments and central banks are powerful agents. If they believed that a recession was likely, then fiscal and monetary policy could be adjusted. For example, the Fed could halt its interest rate rises and quantitative tightening, or even reverse them. Also, worries about protectionism may subside if the USA strikes new trade deals with various countries, as it did with Canada and Mexico in USMCA.

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Surveys and Data

Questions

  1. Define the term ‘recession’.
  2. Are periods of above-trend expansion necessarily followed by a recession?
  3. Give some examples of leading indicators other than those given above and discuss their likely reliability in predicting a recession.
  4. Find out what has been happening to confidence levels in the EU over the past 12 months. Does this provide evidence of an impending recession in the EU?
  5. For what reasons may there be lags between a change in an indicator and a change in the variables for which it is an indicator?
  6. Why has the shape of the yield curve previously been a good predictor of the future course of the economy? Is it likely to be at present?
  7. What is the relationship between interest rates, government bond prices (‘Treasuries’ in the USA) and the yield on such bonds?

The latest consumer confidence figures from the European Commission point to consumer confidence in the UK remaining at around its long-term average. Despite this, confidence is markedly weaker than before the outcome of the EU referendum. Yet, the saving ratio, which captures the proportion of disposable income saved by the household sector, is close to its historic low. We consider this apparent puzzle and whether we can expect the saving ratio to rise.

The European Commission’s consumer confidence measure is a composite indicator based on the balance of responses to 4 forward-looking questions relating to the financial situation of households, the general economic situation, unemployment expectations and savings.

Chart 1 shows the consumer confidence indicator for the UK. The long-term average (median) of –6.25 shows that negative responses across the four questions typically outweigh positive responses. In October 2018 the confidence balance stood at –5.2, essentially unchanged from its September value of –5.8. While above the long-term average, recent values mark a weakening in confidence from levels before the EU referendum. At the beginning of 2016 the aggregate confidence score was running at around +4. (Click here to download a PowerPoint of the chart.)

Chart 1 shows two periods where consumer confidence fell markedly. The first was in the early 1990s. In 1990 the UK joined the Exchange Rate Mechanism (ERM). This was a semi-fixed exchange rate system whereby participating EU countries allowed fluctuations against each other’s currencies, but only within agreed bands, while being able to collectively float freely against all other currencies. In attempting to staying in the ERM, the UK was obliged to raise interest rates in order to protect the pound. The hikes to rates contributed to a significant dampening of aggregate demand and the economy slid into recession. Britain crashed out of the ERM in September 1992.

The second period of declining confidence was during the global financial crisis in the late 2000s. The retrenchment among financial institutions meant a significant tightening of credit conditions. This too contributed to a significant dampening of aggregate demand and the economy slid into recession. Whereas the 1992 recession saw the UK national output contract by 2.0 percent, this time national output fell by 6.3 per cent.

The collapses in confidence from 1992 and from 2007/08 are likely to have helped propagate the effects of the fall in aggregate demand that were already underway. The weakening of confidence in 2016 is perhaps a better example of a ‘confidence shock’, i.e. a change in aggregate demand originating from a change in confidence. Nonetheless, a fall in confidence, whether it amplifies existing shocks or is the source of the shock, is often taken as a signal of greater economic uncertainty. If we take this greater uncertainty to reflect a greater range of future income outcomes, including potential income losses, then households may look to insure themselves by increasing current saving.

It is usual to assume that people suffer from diminishing marginal utility of total consumption. This means that while total satisfaction increases as we consume more, the additional utility from consuming more (marginal utility) decreases. An implication of this is that a given loss of consumption reduces utility by more than an equivalent increase in consumption increases utility. This explains why people prefer more consistent consumption levels over time and so engage in consumption smoothing. The utility, for example, from an ‘average’ consumption level across two time periods, is higher, than the expected utility from a ‘low’ level of consumption in period 1 and a ‘high’ level of consumption in period 2. This is because the loss of utility from a ‘low’ level of consumption relative to the ‘average’ level is greater than the additional utility from the ‘high’ level relative to the ‘average’ level.

If greater uncertainty, such as that following the EU referendum, increases the range of possible ‘lower’ consumption values in the future even when matched by an increase in the equivalent range of possible ‘higher’ consumption values, then expected future utility falls. The incentive therefore is for people to build up a larger buffer stock of saving to minimise utility losses if the ‘bad state’ occurs. Hence, saving which acts as a from of self-insurance in the presence of uncertainty is known as buffer-stock saving or precautionary saving.

Chart 2 plots the paths of the UK household-sector saving ratio and consumer confidence. The saving ratio approximates the proportion of disposable income saved by the household sector. What we might expect to see if more uncertainty induces buffer-stock saving is for falls in confidence to lead to a rise in the saving ratio. Conversely, less uncertainty as proxied by a rise in confidence would lead to a fall in the saving ratio. (Click here to download a PowerPoint of the chart.)

The chart provides some evidence that of this. The early 1990s and late 2000s certainly coincided with both waning confidence and a rising saving ratio. The saving ratio rose to as high as 15.2 per cent in 1993 and 12.0 per cent in 2009. Meanwhile the rising confidence seen in the late 1990s coincided with a fall in the saving ratio to 4.7 per cent in 1999.

As Chart 2 shows, the easing of confidence since 2016 has coincided with a period where the saving ratio has been historically low. Across 2017 the saving ratio stood at just 4.5 per cent. In the first half of 201 the ratio averaged just 4.2 per cent. While the release of the official figures for the saving ratio are less timely than those for confidence, the recent very low saving ratio may be seen to raise concerns. Can softer confidence data continue to co-exist with such a low saving ratio?

There are a series of possible explanations for the recent lows in the saving ratio. On one hand, the rate of price inflation has frequently exceeded wage inflation in recent years so eroding the real value of earnings. This has stretched household budgets and limited the amount of discretionary income available for saving. On the other hand, unemployment rates have fallen to historic lows. The rate of unemployment in the three months to August stood at 4 per cent, the lowest since 1975. Unemployment expectations are important in determining levels of buffer stock saving because of the impact of unemployment on household budgets.

Another factor that has fuelled the growth of spending relative to income, has been the growth of consumer credit. In the period since July 2016, the annual rate of growth of consumer credit, net of repayments, has averaged 9.7 per cent. Behavioural economists argue that foregoing spending can be emotionally painful. Hence, spending has the potential to exhibit more stickiness than might otherwise be predicted in a more uncertain environment or in the anticipation of income losses. Therefore, the reluctance or inability to wean ourselves off credit and spending might be a reason for the continuing low saving ratio.

We wait to see whether the saving ratio increases over the coming months. However, for now, the UK household sector appears to be characterised by low saving and fragile confidence. Whether or not this is a puzzle, is open to question. Nonetheless, it does appear to carry obvious risks should weaker income growth materialise.

Articles

Questions

  1. Draw up a series of factors that you think might affect consumer confidence.
  2. Which of the following statements is likely to be more accurate: (a) Consumer confidence drives economic activity or (b) Economic activity drives consumer confidence?
  3. What macroeconomic indicators would those compiling the consumer confidence indicator expect the indicator to predict?
  4. How does the diminishing marginal utility of consumption (or income) help explain why people engage in buffer stock saving (precautionary saving)?
  5. How might uncertainty affect consumer confidence?
  6. How does greater income uncertainty affect expected utility? What affect might this have on buffer stock saving?

Ten years ago, the financial crisis deepened and stock markets around the world plummeted. The trigger was the collapse of Lehman Brothers, the fourth-largest US investment bank. It filed for bankruptcy on September 15, 2008. This was not the first bank failure around that time. In 2007, Northern Rock in the UK (Aug/Sept 2007) had collapsed and so too had Bear Stearns in the USA (Mar 2008).

Initially there was some hope that the US government would bail out Lehmans. But when Congress rejected the Bank Bailout Bill on September 29, the US stock market fell sharply, with the Dow Jones falling by 7% the same day. This was mirrored in other countries: the FTSE 100 fell by 15%.

At the core of the problem was excessive lending by banks with too little capital. What is more, much of the capital was of poor quality. Many of the banks held securitised assets containing ‘sub-prime mortgage debt’. The assets, known as collateralised debt obligations (CDOs), were bundles of other assets, including mortgages. US homeowners had been lent money based on the assumption that their houses would increase in value. When house prices fell, homeowners were left in a position of negative equity – owing more than the value of their house. With many people forced to sell their houses, prices fell further. Mortgage debt held by banks could not be redeemed: it was ‘sub-prime’ or ‘toxic debt’.

Response to the crisis

The outcome of the financial crash was a series of bailouts of banks around the world. Banks cut back on lending and the world headed for a major recession.

Initially, the response of governments and central banks was to stimulate their economies through fiscal and monetary policies. Government spending was increased; taxes were cut; interest rates were cut to near zero. By 2010, the global economy seemed to be pulling out of recession.

However, the expansionary fiscal policy, plus the bailing out of banks, had led to large public-sector deficits and growing public-sector debt. Although a return of economic growth would help to increase revenues, many governments felt that the size of the public-sector deficits was too large to rely on economic growth.

As a result, many governments embarked on a period of austerity – tight fiscal policy, involving cutting government expenditure and raising taxes. Although this might slowly bring the deficit down, it slowed down growth and caused major hardships for people who relied on benefits and who saw their benefits cut. It also led to a cut in public services.

Expanding the economy was left to central banks, which kept monetary policy very loose. Rock-bottom interest rates were then accompanied by quantitative easing. This was the expansion of the money supply by central-bank purchases of assets, largely government bonds. A massive amount of extra liquidity was pumped into economies. But with confidence still low, much of this ended up in other asset purchases, such as stocks and shares, rather than being spent on goods and services. The effect was a limited stimulation of the economy, but a surge in stock market prices.

With wages rising slowly, or even falling in real terms, and with credit easy to obtain at record low interest rates, so consumer debt increased.

Lessons

So have the lessons of the financial crash been learned? Would we ever have a repeat of 2007–9?

On the positive side, financial regulators are more aware of the dangers of under capitalisation. Banks’ capital requirements have increased, overseen by the Bank for International Settlements. Under its Basel II and then Basel III regulations (see link below), banks are required to hold much more capital (‘capital buffers’). Some countries’ regulators (normally the central bank), depending on their specific conditions, exceed these the Basel requirements.

But substantial risks remain and many of the lessons have not been learnt from the financial crisis and its aftermath.

There has been a large expansion of household debt, fuelled by low interest rates. This constrains central banks’ ability to raise interest rates without causing financial distress to people with large debts. It also makes it more likely that there will be a Minsky moment, when a trigger, such as a trade war (e.g. between the USA and China), causes banks to curb lending and consumers to rein in debt. This can then lead to a fall in aggregate demand and a recession.

Total debt of the private and public sectors now amounts to $164 trillion, or 225% of world GDP – 12 percentage points higher than in 2009.

China poses a considerable risk, as well as being a driver of global growth. China has very high levels of consumer debt and many of its banks are undercapitalised. It has already experienced one stock market crash. From mid-June 2015, there was a three-week fall in share prices, knocking about 30% off their value. Previously the Chinese stock market had soared, with many people borrowing to buy shares. But this was a classic bubble, with share prices reflecting exuberance, not economic fundamentals.

Although Chinese government purchases of shares and tighter regulation helped to stabilise the market, it is possible that there may be another crash, especially if the trade war with the USA escalates even further. The Chinese stock market has already lost 20% of its value this year.

Then there is the problem with shadow banking. This is the provision of loans by non-bank financial institutions, such as insurance companies or hedge funds. As the International Business Times article linked below states:

A mind-boggling study from the US last year, for example, found that the market share of shadow banking in residential mortgages had rocketed from 15% in 2007 to 38% in 2015. This also represents a staggering 75% of all loans to low-income borrowers and risky borrowers. China’s shadow banking is another major concern, amounting to US$15 trillion, or about 130% of GDP. Meanwhile, fears are mounting that many shadow banks around the world are relaxing their underwriting standards.

Another issue is whether emerging markets can sustain their continued growth, or whether troubles in the more vulnerable emerging-market economies could trigger contagion across the more exposed parts of the developing world and possibly across the whole global economy. The recent crises in Turkey and Argentina may be a portent of this.

Then there is a risk of a cyber-attack by a rogue government or criminals on key financial insitutions, such as central banks or major international banks. Despite investing large amounts of money in cyber-security, financial institutions worry about their vulnerability to an attack.

Any of these triggers could cause a crisis of confidence, which, in turn, could lead to a fall in stock markets, a fall in aggregate demand and a recession.

Finally there is the question of the deep and prolonged crisis in capitalism itself – a crisis that manifests itself, not in a sudden recession, but in a long-term stagnation of the living standards of the poor and ‘just about managing’. Average real weekly earnings in many countries today are still below those in 2008, before the crash. In Great Britain, real weekly earnings in July 2018 were still some 6% lower than in early 2008.

Articles

Information and data

Questions

  1. Explain the major causes of the financial market crash in 2008.
  2. Would it have been a good idea to have continued with expansionary fiscal policy beyond 2009?
  3. Summarise the Basel III banking regulations.
  4. How could quantitative easing have been differently designed so as to have injected more money into the real sector of the economy?
  5. What are the main threats to the global economy at the current time? Are any of these a ‘hangover’ from the 2007–8 financial crisis?
  6. What is meant by ‘shadow banking’ and how might this be a threat to the future stability of the global economy?
  7. Find data on household debt in two developed countries from 2000 to the present day. Chart the figures. Explain the pattern that emerges and discuss whether there are any dangers for the two economies from the levels of debt.

These are challenging times for business. Economic growth has weakened markedly over the past 18 months with output currently growing at an annual rate of around 1.5 per cent, a percentage point below the long-term average. Spending power continues to be squeezed, with the annual rate of inflation in October reported to be running at 3.1 per cent compared to annual earnings growth of 2.5 per cent (see the squeeze continues). Moreover, consumer confidence remains fragile with households continuing to express particular concerns about the general economy and unemployment.

Here, we update our blog of July 2016 which, following the UK vote to leave the European Union, noted the fears for UK growth as confidence fell sharply. Consumer confidence is frequently identified by macro-economists as an important source of economic volatility. Indeed many macro models use a change in consumer confidence as a means of illustrating how economic shocks affect a range of macro variables, including growth, employment and inflation. Many economists agree that, in the short term at least, falling levels of confidence adversely affect activity because aggregate demand falls as households spend less.

The European Commission’s confidence measure is collated from questions in a monthly survey. In the UK around 2000 individuals are surveyed. Across the EU as a whole over 41 000 people are surveyed. In the survey individuals are asked a series of 12 questions which are designed to provide information on spending and saving intentions. These questions include perceptions of financial well-being, the general economic situation, consumer prices, unemployment, saving and the undertaking of major purchases.

The responses elicit either negative or positive responses. For example, respondents may feel that over the next 12 months the financial situation of their household will improve a little or a lot, stay the same or deteriorate a little or a lot. A weighted balance of positive over negative replies can be calculated. The balance can vary from -100, when all respondents choose the most negative option, to +100, when all respondents choose the most positive option.

The European Commission’s principal consumer confidence indicator is the average of the balances of four of the twelve questions posed: the financial situation of households, the general economic situation, unemployment expectations (with inverted sign) and savings, all over the next 12 months. These forward-looking balances are seasonally adjusted. The aggregate confidence indicator is thought to track developments in households’ spending intentions and, in turn, likely movements in the rate of growth of household consumption.

Chart 1 shows the consumer confidence indicator for the UK. The long-term average of –8.6 shows that negative responses across the four questions typically outweigh positive responses. In November 2017 the confidence balance stood at -5.2 roughly on par with its value in the previous two months, though marginally up on values of close to -7 over the summer. However, as recently as the beginning of 2016 the aggregate confidence score was running at around +4. In this context, current levels do constitute a significant change in consumer sentiment, changes which do ordinarily mark similar turning points in economic activity.(Click here to download a PowerPoint of the chart.)

Chart 2 allows to look behind the European Commission’s headline confidence indicator for the UK by looking at its four component balances. From it, we can see a deterioration in all four components. However, by far the most significant change in the individual confidence balances has been the sharp deterioration in expectations for the general economy. In November the forward-looking general economic situation stood at -25.5, compared to its long-run average of -11.6. (Click here to download a PowerPoint of the chart.)

The fall in UK consumer confidence is even more stark when compared to developments in consumer confidence across the whole of the European Union and in the 19 countries that make up the Euro area. Chart 3 shows how UK consumer confidence recovered relatively more strongly following the financial crisis of the late 2000s. The headline confidence indicator rose strongly from the middle of 2013 and was consistently in positive territory during 2014, 2015 and into 2016. The fall in consumer confidence in the UK has seen the headline confidence measure fall below that for the EU and the euro area. (Click here to download a PowerPoint of the chart.)

Consumer (and business) confidence is closely linked to uncertainty. The circumstances following the UK vote to leave the EU have undoubtedly created the conditions for acute uncertainty. Uncertainty breeds caution. Economists sometimes talk about spending being affected by two conflicting motives: prudence and impatience. While impatience creates a desire for spending now, prudence pushes us towards saving and insuring ourselves against uncertainty and unforeseen events. The worry is that the twin forces of fragile confidence and squeezed real earning are weighting heavily in favour of prudence and patience (a reduction in impatience). Going forward, this could create the conditions for a sustained period of subdued growth which, if it were to impact heavily on firms’ investment plans, could adversely impact on the economy’s productive potential. The hope is that the Brexit negotiations can move apace to reduce uncertainty and limit uncertainty’s adverse impact on economic activity.

Articles

UK consumer confidence slips in December – Thomson Reuters/Ipsos Reuters (14/12/17)
UK consumer confidence drops to lowest level since Brexit result Independent, Ben Chu (30/11/17)
2017 set to be worst year for UK consumer spending since 2012, Visa says Independent, Josie Cox, (11/12/17)
Carpetright boss warns of ‘fragile’ consumer confidence after profits plunge Telegraph, Jack Torrance (12/12/17)
UK consumers face sharpest price rise in services for nearly a decade Guardian, Richard Partington (5/12/17)
UK average wage growth undershoots inflation again squeezing real incomes Independent, Josie Cox (13/12/17)
Bank sees boost from Brexit progress BBC News (14/12/17)

Data

Business and Consumer Surveys European Commission

Questions

  1. Draw up a series of factors that you think might affect consumer confidence.
  2. Explain what you understand by a positive and a negative demand-side shock. How might changes in consumer confidence generate demand shocks?
  3. Analyse the ways in which consumer confidence might affect economic activity.
  4. Which of the following statements is likely to be more accurate: (a) Consumer confidence drives economic activity or (b) Economic activity drives consumer confidence?
  5. What macroeconomic indicators would those compiling the consumer confidence indicator expect the indicator to predict?
  6. Analyse the possible short-term and longer-term economic implications of a fall in consumer confidence.
  7. How might uncertainty affect consumer confidence?
  8. What do the concepts of impatience and prudence mean in the context of consumer spending? When consumer confidence falls which of these might become more significant for consumer spending?