Tag: business confidence

We continue to live through incredibly turbulent times. In the past decade or so we have experienced a global financial crisis, a global health emergency, seen the UK’s departure from the European Union, and witnessed increasing levels of geopolitical tension and conflict. Add to this the effects from the climate emergency and it easy to see why the issue of economic uncertainty is so important when thinking about a country’s economic prospects.

In this blog we consider how we can capture this uncertainty through a World Uncertainty Index and the ways by which economic uncertainty impacts on the macroeconomic environment.

World Uncertainty Index

Hites Ahir, Nicholas Bloom and Davide Furceri have constructed a measure of uncertainty known as the World Uncertainty Index (WUI). This tracks uncertainty around the world using the process of ‘text mining’ the country reports produced by the Economist Intelligence Unit. The words searched for are ‘uncertain’, ‘uncertainty’ and ‘uncertainties’ and a tally is recorded based on the number of times they occur per 1000 words of text. To produce the index this figure is then multiplied up by 100 000. A higher number therefore indicates a greater level of uncertainty. For more information on the construction of the index see the 2022 article by Ahir, Bloom and Furceri linked below.

Figure 1 (click here for a PowerPoint) shows the WUI both globally and in the UK quarterly since 1991. The global index covers 143 countries and is presented as both a simple average and a GDP weighted average. The UK WUI is also shown. This is a three-quarter weighted average, the authors’ preferred measure for individual countries, where increasing weights of 0.1, 0.3 and 0.6 are used for the three most recent quarters.

From Figure 1 we can see how the level of uncertainty has been particularly volatile over the past decade or more. Events such as the sovereign debt crisis in parts of Europe in the early 2010s, the Brexit referendum in 2016, the COVID-pandemic in 2020–21 and the invasion of Ukraine in 2022 all played their part in affecting uncertainty domestically and internationally.

Uncertainty, risk-aversion and aggregate demand

Now the question turns to how uncertainty affects economies. One way of addressing this is to think about ways in which uncertainty affects the choices that people and businesses make. In doing so, we could think about the impact of uncertainty on components of aggregate demand, such as household consumption and investment, or capital expenditures by firms.

As Figure 2 shows (click here for a PowerPoint), investment is particularly volatile, and much more so than household spending. Some of this can be attributed to the ‘lumpiness’ of investment decisions since these expenditures tend to be characterised by indivisibility and irreversibility. This means that they are often relatively costly to finance and are ‘all or nothing’ decisions. In the context of uncertainty, it can make sense therefore for firms to wait for news that makes the future clearer. In this sense, we can think of uncertainty rather like a fog that firms are peering through. The thicker the fog, the more uncertain the future and the more cautious firms are likely to be.

The greater caution that many firms are likely to adopt in more uncertain times is consistent with the property of risk-aversion that we often attribute to a range of economic agents. When applied to household spending decisions, risk-aversion is often used to explain why households are willing to hold a buffer stock of savings to self-insure against unforeseen events and their future financial outcomes being worse than expected. Hence, in more uncertain times households are likely to want to increase this buffer further.

The theory of buffer-stock saving was popularised by Christopher Carroll in 1992 (see link below). It implies that in the presence of uncertainty, people are prepared to consume less today in order to increase levels of saving, pay off existing debts, or borrow less relative to that in the absence of uncertainty. The extent of the buffer of financial wealth that people want to hold will depend on their own appetite for risk, the level of uncertainty, and the moderating effect from their own impatience and, hence, present bias for consuming today.

Risk aversion is consistent with the property of diminishing marginal utility of income or consumption. In other words, as people’s total spending volumes increase, their levels of utility or satisfaction increase but at an increasingly slower rate. It is this which explains why individuals are willing to engage with the financial system to reallocate their expected life-time earnings and have a smoother consumption profile than would otherwise be the case from their fluctuating incomes.

Yet diminishing marginal utility not only explains consumption smoothing, but also why people are willing to engage with the financial system to have financial buffers as self-insurance. It explains why people save more or borrow less today than suggested by our base-line consumption smoothing model. It is the result of people’s greater dislike (and loss of utility) from their financial affairs being worse than expected than their like (and additional utility) from them being better than expected. This tendency is only likely to increase the more uncertain times are. The result is that uncertainty tends to lower household consumption with perhaps ‘big-ticket items’, such as cars, furniture, and expensive electronic goods, being particularly sensitive to uncertainty.

Uncertainty and confidence

Uncertainty does not just affect risk; it also affects confidence. Risk and confidence are often considered together, not least because their effects in generating and transmitting shocks can be difficult to disentangle.

We can think of confidence as capturing our mood or sentiment, particularly with respect to future economic developments. Figure 3 plots the Uncertainty Index for the UK alongside the OECD’s composite consumer and business confidence indicators. Values above 100 for the confidence indicators indicate greater confidence about the future economic situation and near-term business environment, while values below 100 indicate pessimism towards the future economic and business environments.

Figure 3 suggests that the relationship between confidence and uncertainty is rather more complex than perhaps is generally understood (click here for a PowerPoint). Haddow, Hare, Hooley and Shakir (see link below) argue that the evidence tends to point to changes in uncertainty affecting confidence, but with less evidence that changes in confidence affect uncertainty.

To illustrate this, consider the global financial crisis of the late 2000s. The argument can be made that the heightened uncertainty about future prospects for households and businesses helped to erode their confidence in the future. The result was that people and businesses revised down their expectations of the future (pessimism). However, although people were more pessimistic about the future, this was more likely to have been the result of uncertainty rather than the cause of further uncertainty.

Conclusion

For economists and policymakers alike, indicators of uncertainty, such as the Ahir, Bloom and Furceri World Uncertainty Index, are invaluable tools in understanding and forecasting behaviour and the likely economic outcomes that follow. Some uncertainty is inevitable, but the persistence of greater uncertainty since the global financial crisis of the late 2000s compares quite starkly with the relatively lower and more stable levels of uncertainty seen from the mid-1990s up to the crisis. Hence the recent frequency and size of changes in uncertainty show how important it to understand how uncertainty effects transmit through economies.

Academic papers

Articles

Data

Questions

  1. (a) Explain what is meant by the concept of diminishing marginal utility of consumption.
    (b) Explain how this concept helps us to understand both consumption smoothing and the motivation to engage in buffer-stock saving.
  2. Explain the distinction between confidence and uncertainty when analysing macroeconomic shocks.
  3. Discuss which types of expenditures you think are likely to be most susceptible to uncertainty shocks.
  4. Discuss how economic uncertainty might affect productivity and the growth of potential output.
  5. How might the interconnectedness of economies affect the transmission of uncertainty effects through economies?

In recent months there has been growing uncertainty across the global economy as to whether the US economy was going to experience a ‘hard’ or ‘soft landing’ in the current business cycle – the repeated sequences of expansion and contraction in economic activity over time. Announcements of macroeconomic indicators have been keenly anticipated for signals about how quickly the US economy is slowing.

Such heightened uncertainty is a common feature of late-cycle slowing economies, but uncertainty now has been exacerbated because it has been a while since developed economies have experienced a business cycle like the current one. The 21st century has been characterised by low inflation, low interest rates and recessions caused by various types of crises – a stock market crisis (2001), a banking crisis (2008) and a global pandemic (2020). In contrast, the current cycle is a throwback to the 20th century. The high inflation and the ensuing increases in interest rates have produced a business cycle which echoes the 1970s. Therefore, few investors have experience of such economic conditions.

The focus for investors during this stage of the cycle is when the slowing economy will reach the minimum. They will also be concerned with the depth of the slowdown: will there still be some growth in income, albeit low; or will the trough be severe enough to produce a recession, and, if so, how deep? Given uncertainty around the length and magnitude of business cycles, this leads to greater risk aversion among investors. This affects reactions to announcements of leading and lagging macroeconomic indicators.

This blog examines what sort of economic conditions we should expect in a late-cycle economy. It analyses the impact this has had on investor behaviour and the ensuing dynamics observed in financial markets in the USA.

The Business Cycle


The business cycle refers to repeated sequences of expansion and contraction (or slowdown) in economic activity over time. Figure 1 illustrates a typical cycle. Typically, these sequences include four main stages. In each one there are different effects on consumer and business confidence:

  • Expansion: During this stage, the economy experiences growth in GDP, with incomes and consumption spending rising. Business and consumer confidence are high. Unemployment is falling.
  • Peak: This is the point at which the economy reaches its maximum output, but growth has ceased (or slowed). At this stage, inflationary pressures peak as the economy presses against potential output. This tends to result in tighter monetary policy (higher interest rates).
  • Slowdown: The higher interest rates raise the cost of borrowing and reduce consumption and investment spending. Consumption and incomes both slow or fall. (Figure 1 illustrates the severe case of falling GDP (negative growth) in this stage.) Unemployment starts rising.
  • Trough: This is the lowest point of the cycle, where economic activity bottoms out and the economy begins to recover. This can be associated with slow but still rising national income (a soft landing) or national income that has fallen (a hard landing, as shown in Figure 1).

While business cycles are common enough to enable such characterisation of their temporal pattern, their length and magnitude are variable and this produces great uncertainty, particularly when cycles approach peaks and troughs.

As an economy’s cycle approaches a trough, such as US economy’s over the past few months, uncertainty is exacerbated. The high interest rates used to tackle inflation will have increased borrowing costs for businesses and consumers. Access to credit may have become more restricted. Profit margins are reduced, especially for industrial sectors sensitive to the business cycle, reducing expected cash flows.

The combination of these factors can increase the risk of a recession, producing greater volatility in financial markets. This manifests itself in increased risk aversion among investors.

Utility theory suggests that, in general, investors will exhibit loss aversion. This means that they do not like bearing risk, fearing that the return from an investment may be less than expected. In such circumstances, investors need to be compensated for bearing risk. This is normally expressed in terms of expected financial return. To bear more risk, investors require higher levels of return as compensation.

As perceptions of risk change through the business cycle, so this will change the return investors will require from the financial instruments they hold. Perceived higher risk raises the return investors will require as compensation. Conversely, lower perceived risk decreases the return investors expect as compensation.

Investors’ expected rate of return is manifested in the discount rate that they use to value the anticipated cash flows from financial instruments in discounted cash flow (DCF) analysis. Equation 1 is the algebraic expression of the present-value discounted series of cash flows for financial instruments:

 
 
Where:
V = present value
C = anticipated cash flows in each of time periods 1, 2, 3, etc.
r = expected rate of return

For fixed-income debt securities, the cash flow is constant, while for equity securities (shares), expectations regarding cash flows can change.

Slowing economies and risk aversion

In a slowing economy, with great uncertainty about the scale and timing of the bottom of the cycle, investors become more risk averse about the prospects of firms. This this leads to higher risk premia for financial instruments sensitive to a slowdown in economic activity.

This translates into a higher expected return and higher discount rate used in the valuation of these instruments (r in equation 1). This produces decreases in perceived value, decreased demand and decreased prices for these financial instruments. This can be observed in the market dynamics for these instruments.

First, there may be a ‘flight to safety’. Investors attach a higher risk premium to risker financial instruments, such as equities, and seek a ‘safe-haven’ for their wealth. Therefore, we should observe a reorientation from more risky to less risky assets. Demand for equities falls, while demand for safer assets, such as government bonds and gold, rises.

There is some evidence for this behaviour as uncertainty about the US economic outlook has increased. Gold, long seen as a hedge against market decline, is at record highs. US Government bond prices have risen too.

To analyse whether this may be a flight to safety, I analysed the correlation between the daily US government bond price (5-year Treasury Bill) and share prices represented by the two more significant stock market indices in the USA: the S&P 500 and the Nasdaq Composite. I did this for two different time periods. Table 1 shows the results. Panel (a) shows the correlation coefficients for the period between 1 May 2024 and 31 July 2024; Panel (b) shows the correlation coefficients for the period between 1 August 2024 and 9 September 2024.

In the period between May and July 2024, the 5-year Treasury Bill and share price indices had significantly positive correlations. When share prices rose, the Treasury Bill’s price rose; when share prices fell, the bill’s price fell. During that period, expectations about falling interest rates dominated valuations and that effected the valuations of all financial instruments in the same way – lower expected interest rates reduce the opportunity cost of holding instruments and reduces the expected rates of return. Hence, the discount rate applied to cash flows is reduced, and present value rises. The opposite happens when macroeconomic indicators suggest that interest rates will stay high (ceteris paribus).

As the summer proceeded, worries about a ‘hard landing’ began to concern investors. A weak jobs report in early August particularly exercised markets, producing a ‘flight to safety’. Greater risk aversion among investors meant that they expect a higher return from equities. This reduced perceived value, reducing demand and price (ceteris paribus). To insulate themselves from higher risk, investors bought safer assets, like government bonds, thereby pushing up their prices. This behaviour was consistent with the significant negative correlation observed between US government debt prices and the S&P 500 and Nasdaq indices in Panel (b).

Another signal of increased risk aversion among investors is ‘sector rotation’ in their equity portfolios. Increased risk aversion among investors will lead them to divest from ‘cyclical’ companies. Such companies are in industrial sectors which are more sensitive to the changing economic conditions across the business cycle – consumer discretionary and communication services sectors, for example. To reduce their exposure to risk, investors will switch to ‘defensive’ sectors – those less sensitive to the business cycle. Examples include consumer staples and utility sectors.

Cyclical sectors will suffer a greater adverse impact on their cash flows and risk in a slowing economy. Consequently, investors expect higher return as compensation. This reduces the value of those shares. Demand for them falls, depressing their price. In contrast, defensive sectors will be valued more. They will see an increase in demand and price. This sector rotation seems to have happened in August (2024). Figure 2 shows the percentage change between 1 August and 9 September 2024 in the S&P 500 index and four sector indices, comprising companies from the communication services, consumer discretionary, consumer staples and utilities sectors.


Overall, the S&P 500 index was slightly higher, as shown by the first bar in the chart. However, while the cyclical sectors experienced decreases in their share prices, particularly communication services, the defensive companies experienced large price increases – nearly 3% for utilities and over 6% for consumer staples.

Conclusion

Economies experience repeated sequences of expansion and contraction in economic activity over time. At the moment, the US economy is approaching the end of its current slowing phase. Increased uncertainty is a common feature of late-cycle economies and this manifests itself in heightened risk aversion among investors. This produces certain dynamics which have been observable in US debt and equity markets. This includes a ‘flight to safety’, with investors divesting risky financial instruments in favour of safer ones, such as US government debt securities and gold. Also, investors have been reorientating their equity portfolios away from cyclicals and towards defensive securities.

Articles

Data

Questions

  1. What is risk aversion? Sketch an indifference curve for a risk-averse investor, treating expected return and risk as two-characteristics of a financial instrument.
  2. Show what happens to the slope of the indifference curve if the investor becomes more risk averse.
  3. Using demand and supply analysis, illustrate and explain the impact of a flight to safety on the market for (i) company shares and (ii) US government Treasury Bills.
  4. Use economic theory to explain why the consumer discretionary sector may be more sensitive than the consumer staples sector to varying incomes across the economic cycle.
  5. Research the point of the economic cycle that the US economy has reached as you read this blog. What is the relationship between bond and equity prices? Which sectors have performed best in the stock market?

On 10 March, the House of Representatives gave final approval to President Biden’s $1.9tr fiscal stimulus plan (the American Rescue Plan). Worth over 9% of GDP, this represents the third stage of an unparalleled boost to the US economy. In March 2020, President Trump secured congressional agreement for a $2.2tr package (the CARES Act). Then in December 2020, a bipartisan COVID relief bill, worth $902bn, was passed by Congress.

By comparison, the Obama package in 2009 in response to the impending recession following the financial crisis was $831bn (5.7% of GDP).

The American Rescue Plan

The Biden stimulus programme consists of a range of measures, the majority of which provide monetary support to individuals. These include a payment of $1400 per person for single people earning less than $75 000 and couples less than $150 000. These come on top of payments of $1200 in March 2020 and $600 in late December. In addition, the top-up to unemployment benefits of $300 per week agreed in December will now continue until September. Also, annual child tax credit will rise from $2000 annually to as much as $3600 and this benefit will be available in advance.

Other measures include $350bn in grants for local governments depending on their levels of unemployment and other needs; $50bn to improve COVID testing centres and $20bn to develop a national vaccination campaign; $170bn to schools and universities to help them reopen after lockdown; and grants to small businesses and specific grants to hard-hit sectors, such as hospitality, airlines, airports and rail companies.

Despite supporting the two earlier packages, no Republican representative or senator backed this latest package, arguing that it was not sufficiently focused. As a result, reaction to the package has been very much along partisan lines. Nevertheless, it is supported by some 90% of Democrat voters and 50% of Republican voters.

Is the stimulus the right amount?

Although the latest package is worth $1.9tr, aggregate demand will not expand by this amount, which will limit the size of the multiplier effect. The reason is that the benefits multiplier is less than the government expenditure multiplier as some of the extra money people receive will be saved or used to reduce debts.

With $3tr representing some 9% of GDP, this should easily fill the estimated negative output gap of between 2% and 3%, especially when multiplier effects are included. Also, with savings having increased during the recession to put them some 7% above normal, the additional amount saved may be quite small, and wealthier Americans may begin to reduce their savings and spend a larger proportion of their income.

So the problem might be one of excessive stimulus, which in normal times could result in crowding out by driving up interest rates and dampening investment. However, the Fed is still engaged in a programme of quantitative easing. Between mid-March 2020 and the end of March 2021, the Fed’s portfolio of securities held outright grew from $3.9tr to $7.2tr. What is more, many economists predict that inflation is unlikely to rise other than very slightly. If this is so, it should allow the package to be financed easily. Debt should not rise to unsustainable levels.

Other economists argue, however, that inflationary expectations are rising, reflected in bond yields, and this could drive actual inflation and force the Fed into the awkward dilemma of either raising interest rates, which could have a significant dampening effect, or further increasing money supply, potentially leading to greater inflationary problems in the future.

A lot will depend what happens to potential GDP. Will it rise over the medium term so that additional spending can be accommodated? If the rise in spending encourages an increase in investment, this should increase potential GDP. This will depend on business confidence, which may be boosted by the package or may be dampened by worries about inflation.

Additional packages to come

Potential GDP should also be boosted by two further packages that Biden plans to put to Congress.

The first is a $2.2tr infrastructure investment plan, known as the American Jobs Plan. This is a 10-year plan to invest public money in transport infrastructure (such as rebuilding 20 000 miles of road and repairing bridges), public transport, electric vehicles, green housing, schools, water supply, green power generation, modernising the power grid, broadband, R&D in fields such as AI, social care, job training and manufacturing. This will be largely funded through tax increases, such as gradually raising corporation tax from 21% to 28% (it had been cut from 35% to 21% by President Trump) and taxing global profits of US multinationals. However, the spending will generally precede the increased revenues and thus will raise aggregate demand in the initial years. Only after 15 years are revenues expected to exceed costs.

The second is a yet-to-be announced plan to increase spending on childcare, healthcare and education. This should be worth at least $1tr. This will probably be funded by tax increases on income, capital gains and property, aimed largely at wealthy individuals. Again, it is hoped that this will boost potential GDP, in this case by increasing labour productivity.

With earlier packages, the total increase in public spending will be over $8tr. This is discretionary fiscal policy writ large.

Articles

Videos

Questions

  1. Draw a Keynesian cross diagram to show the effect of an increase in benefits when the economy is operating below potential GDP.
  2. What determines the size of the benefits multiplier?
  3. Explain what is meant by the output gap. How might the pandemic and accompanying emergency health measures have affected the size of the output gap?
  4. How are expectations relevant to the effectiveness of the stimulus measures?
  5. What is likely to determine the proportion of the $1400 stimulus cheques that people spend?
  6. Distinguish between resource crowding out and financial crowding out. Is the fiscal stimulus package likely to result in either form of crowding out and, if so, what will determine by how much?
  7. What is the current monetary policy of the Fed? How is it likely to impact on the effectiveness of the fiscal stimulus?

Three international agencies, the IMF, the European Commission and the OECD, all publish six-monthly forecasts for a range of countries. As each agency’s forecasts have been published this year, so the forecasts for economic growth and other macroeconomic indicators, such as unemployment, have got more dire.

The IMF was the first to report. Its World Economic Outlook, published on 14 April, forecast that in the UK real GDP would fall by 6.5% in 2020 and rise by 4% in 2021 (not enough to restore GDP to 2019 levels); in the USA it would fall by 5.9% this year and rise by 4.7% next year; in the eurozone it would fall by 7.5% this year and rise by 4.7% next.

The European Commission was next to report. Its AMECO database was published on 6 May. This forecast that UK real GDP would fall by 8.3% this year and rise by 6% next; in the USA it would fall by 6.5% this year and rise by 4.9% next; in the eurozone it would fall by 7.7% this year and rise by 6.3% next.

The latest to report was the OECD on 10 June. The OECD Economic Outlook was the most gloomy. In fact, it produced two sets of forecasts.

The first, more optimistic one (but still more gloomy than the forecasts of the other two agencies) was based on the assumption that lockdowns would continue to be lifted and that there would be no second outbreak later in the year. This ‘single-hit scenario’ forecast that UK real GDP would fall by 11.5% this year and rise by 9% next (a similar picture to France and Italy); in the USA it would fall by 7.3% this year and rise by 4.1% next; in the eurozone it would fall by 9.1% this year and rise by 6.5% next.

The second set of OECD forecasts was based on the assumption that there would be a second wave of the virus and that lockdowns would have to be reinstated. Under this ‘double-hit scenario’, the UK’s GDP is forecast to fall by 14.0% this year and rise by 5.0 per cent next; in the USA it would fall by 8.5% this year and rise by 1.9% next; in the eurozone it would fall by 11.5% this year and rise by 3.5% next.


The first chart shows the four sets of forecasts (including two from the OECD) for a range of countries. The first four bars for each country are the forecasts for 2020; the other four bars for each country are for 2021. (Click here for a PowerPoint of the chart.)


The second chart shows unemployment rates from 2006. The figures for 2020 and 2021 are OECD forecasts based on the double-hit assumption. You can clearly see the dramatic rise in unemployment in all the countries in 2020. In some cases it is forecast that there will be a further rise in 2021. (Click here for a PowerPoint of the chart.)

As the OECD states:

In both scenarios, the recovery, after an initial, rapid resumption of activity, will take a long time to bring output back to pre-pandemic levels, and the crisis will leave long-lasting scars – a fall in living standards, high unemployment and weak investment. Job losses in the most affected sectors, such as tourism, hospitality and entertainment, will particularly hit low-skilled, young, and informal workers.

But why have the forecasts got gloomier? There are both demand- and supply-side reasons.

Aggregate demand has fallen more dramatically than originally anticipated. Lockdowns have lasted longer in many countries than governments had initially thought, with partial lockdowns, which replace them, taking a long time to lift. With less opportunity for people to go out and spend, consumption has fallen and saving has risen. Businesses that have shut, some permanently, have laid off workers or they have been furloughed on reduced incomes. This too has reduced spending. Even when travel restrictions are lifted, many people are reluctant to take holidays at home and abroad and to use public transport for fear of catching the virus. This reluctance has been higher than originally anticipated. Again, spending is lower than before. Even when restaurants, bars and other public venues are reopened, most operate at less than full capacity to allow for social distancing. Uncertainty about the future has discouraged firms from investing, adding to the fall in demand.


On the supply side, there has been considerable damage to capacity, with firms closing and both new and replacement investment being put on hold. Confidence in many sectors has plummeted as shown in the third chart which looks at business and consumer confidence in the EU. (Click here for a PowerPoint of the above chart.) Lack of confidence directly affects investment with both supply- and demand-side consequences.

Achieving a sustained recovery will require deft political and economic judgements by policymakers. What is more, people are increasingly calling for a different type of economy – one where growth is sustainable with less pollution and degradation of the environment and one where growth is more inclusive, where the benefits are shared more equally. As Angel Gurría, OECD Secretary-General, states in his speech launching the latest OECD Economic Outlook:

The aim should not be to go back to normal – normal was what got us where we are now.

Articles

OECD publications

Questions

  1. Why has the UK economy been particularly badly it by the Covid-19 pandemic?
  2. What will determine the size and timing of the ‘bounce back’?
  3. Why will the pandemic have “dire and long-lasting consequences for people, firms and governments”?
  4. Why have many people on low incomes faced harsher consequences than those on higher incomes?
  5. What are the likely environmental impacts of the pandemic and government measures to mitigate the effects?