Tag: forecasting

The UK left the EU on 31 January 2020 and entered an 11-month transition phase during which previous arrangements largely applied. On 30 December 2020, the UK and the EU signed the Trade and Cooperation Agreement (TCA) (see also), which set out the details of the post-Brexit trading arrangements between the UK and the EU after the ending of the transition period on 31 December 2020. The new arrangements have been implemented in stages so as to minimise disruption.

A major change was implemented on 1 January 2022, when full customs controls came into effect on imports into the UK from the EU. Later in the year a range of safety and security measures will be introduced, such as physical checks on live animals.

Not surprisingly, the anniversary of the TCA has been marked by many articles on Brexit: assessing its effects so far and looking into the future. Most of the articles see Brexit as having imposed net costs on the UK and the EU. They reflect the views of economists generally. As the first FT article linked below states, “The debate among economists on Brexit has rarely been about whether there would be a hit to growth and living standards, but rather how big a hit”.

The trade and GDP costs of Brexit

The Office for Budget Responsibility in October 2021 attempted to measure these costs in terms of the loss in trade and GDP. In October 2021, it stated:

Since our first post-EU referendum Economic and Fiscal Outlook in November 2016, our forecasts have assumed that total UK imports and exports will eventually both be 15 per cent lower than had we stayed in the EU. This reduction in trade intensity drives the 4 per cent reduction in long-run potential productivity we assume will eventually result from our departure from the EU.
 
…the evidence so far suggests that both import and export intensity have been reduced by Brexit, with developments still consistent with our initial assumption of a 15 per cent reduction in each.

This analysis is supported by evidence from John Springford, deputy director of the Centre for European Reform think-tank. He compares the UK’s actual performance with a ‘doppelgänger’ UK, which is an imaginary UK that has not left the EU. The doppelgänger used “is a subset of countries selected from a larger group of 22 advanced economies by an algorithm. The algorithm finds the countries that, when combined, create a doppelgänger UK that has the smallest possible deviation from the real UK data until December 2019, before the pandemic struck.” According to Springford, the shortfall in trade in October 2021 was 15.7 per cent – very much in line with the OBR’s forecasts.

Explanations of the costs

Why, then, have have been and will continue to be net economic costs from Brexit?

The main reason is that the UK has moved from being in the EU Single Market, a system of virtually friction-free trade and factor movements, to a trade agreement (the TCA) which, while being tariff and quota free for goods produced in the UK and the EU, involves considerable frictions. These frictions include greatly increased paperwork, which adds to the cost of trade. This has affected small businesses particularly, for whom the increased administrative costs generally represent a larger proportion of total costs than for large businesses.

Although EU tariffs are not imposed on goods wholly originating in the UK, they are imposed on many goods that are not. Under ‘rules of origin’ regulations, an item can only count as a British good if sufficient value or weight is added. If insufficient value is added, then customs charges are imposed. Similar rules apply from 1 January 2022 on goods imported into the Great Britain from the EU which are only partially made in the EU. The issue of rules of origin was examined in the blog A free-trade deal? Not really. Goods being moved between Great Britain and the EU are checked at ports and can only be released into the market if they have a valid customs declaration and have received customs clearance. This involves considerable paperwork for businesses. As the article below from Internet Retailing states:

UK and EU importers need to be able to state the origin of the goods they trade between the UK and EU. For some goods, exporters need to hold supplier declarations to show where they were made and where materials came from. From January 1, those issuing statements of origin for goods exported to the EU will need to hold the supplier declarations at the time that they export their goods, whereas up till now the those declarations could be supplied later.

Brexit has had considerable effects on the labour market. Many EU citizens returned to their home countries both before and after Brexit, creating labour shortages in many sectors. Also, it has become more difficult for UK citizens to work in the EU, with work permits required in most cases. This has had a major effect on some UK workers. For example, British touring musicians and performers find it difficult to tour, given the lack of an EU-wide visa waiver, ‘cabotage’ rules that ban large UK tour vehicles from making more than two stops before returning to the UK and new paperwork needed to take certain musical instruments into the EU.

Another issue concerns investment. Will greater restrictions in trade between the EU and the UK reduce inward investment to the UK, with international companies preferring to locate factories producing for Europe in the EU rather than the UK as the EU market is bigger than the UK market? So far, fears have not been realised as inward investment has held up well, partly because of the rapid bounce-back from the pandemic and the successful roll-out of the vaccine. Nevertheless, the UK’s dominance as a recipient of inward investment to Europe has been replaced by a three-way dominance of the UK, France and Germany, with France being the biggest recipient of the three in 2019 and 2020. It will be some years before the extent to which Brexit has damaged inward investment to the UK, if at all, becomes clear.

The TCA applies to goods, not services. One of the major concerns has been the implications of Brexit for financial services and the City of London. Before Brexit, financial institutions based in the UK had ‘passporting rights’. These allowed them to offer financial services across EU borders and to set up branches in EU countries easily. With the ending of the transition period in December 2020, these passporting rights have ceased. The EU has granted temporary ‘equivalence’ to such institutions until June 2022, but then it comes to an end and there is no prospect of deal on financial services in the near future. Indeed, the EU is actively trying to encourage more financial activity to move from the UK to the EU. Several financial institutions have already relocated all or part of their business from London to the EU.

The articles below examine these costs and many give examples of specific firms and how Brexit has impacted on them. As you will see, there are quite a lot of articles and you might just want to select a few. Or if this blog is being used for classes, the articles could be assigned to different students and used as the basis for discussion.

The future

Whilst the additional costs in terms of trade restrictions and paperwork are clear, it is too soon to know how well firms will be able to overcome them. Many of those who support Brexit argue that the UK now has freedom to impose lighter UK regulations on firms and that this could encourage economic growth. Other supporters of Brexit, however, argue that Brexit gives the UK government the opportunity to impose tougher environmental, safety and employment protection regulations. Again, it is too soon to know what direction the current and future governments will move.

Then there is the question of trade deals with non-EU countries. How many will there be? When will they be signed? What will their terms be? So far, the deals signed have largely been just a roll-over of the deals the UK previously had with these countries as a member of the EU. The one exception is the deal with Australia. But the gains from that are tiny – an estimated gain of between 0.02 and 0.08 per cent of GDP from 2035 (compared with the estimated 4 per cent loss from leaving the EU’s Single Market). Also there are fears by the UK agricultural sector that cheaper food from Australia, produced under lower standards, could undercut UK farmers, especially after the end of a 15-year transitional period. So far, a trade deal with the USA seems a long way off.

Then there are uncertainties about the Northern Ireland Protocol, under which there is an effective border between Great Britain and the EU down the Irish Sea, with free trade across the Northern Ireland–Republic of Ireland border. Will it be rewritten? Will the UK renege on its treaty commitments to impose checks on goods flowing between Northern Ireland and Great Britain?

Difficulties with the Northern Ireland Protocol, highlight another uncertainty and that is the political relationships between the UK and the EU, which have come under considerable strain with various post-Brexit disputes. Could these difficulties damage trade further and, if so, by how much?

What is clear is that there is considerable uncertainty about the future, a future that for some time is likely to be affected by the pandemic and its aftermath in both the UK and the EU. As the OBR states:

It is too early to reach definitive conclusions because:

  • The terms of the TCA are yet to be implemented in full, meaning trade barriers will rise further as more of the deal comes into force. For example, the introduction of full checks on UK imports has recently been delayed until 2022.
  • The full effect of the referendum outcome and higher trade barriers will probably take several years to come through, with businesses needing considerable time to adjust.
  • The pandemic has delivered a large shock to UK and global trade volumes over the past 18 months, making it difficult to disentangle the separate effect of leaving the EU.
  • Finally, trade data tend to be relatively volatile and are revised frequently, rendering any initial conclusions subject to change as the data are revised.

Analysis

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Survey

Questions

  1. Summarise the reasons why the volume of trade between the UK and the EU is likely to be below the level it would have been if the UK had remained in the Single Market.
  2. How can economists disentangle the effects of Brexit from the effects of Covid? How is the ‘doppelgänger UK’ model used for this purpose?
  3. Are there any economic advantages of the UK’s exit from the EU? If so, what are they and how significant are they?
  4. The OBR forecasts that there will be a long-term reduction of 15 per cent in both UK imports from the EU and UK exports to the EU. What might cause this figure to be (a) greater than 15 per cent; (b) less than 15 per cent?

A general election has been called in the UK for 12 December. Central to the debates between the parties will be their policy on Brexit.

They range from the Liberal Democrats’, Plaid Cymru’s and Sinn Féin’s policy of cancelling Brexit and remaining in the EU, to the Scottish Nationalists’ and Greens’ policy of halting Brexit while a People’s Vote (another referendum) is held, with the parties campaigning to stay in the EU, to the Conservative Party’s policy of supporting the Withdrawal Agreement and Political Declaration negotiated between the Boris Johnson government and the EU, to the DUP which supports Brexit but not a version which creates a border between Great Britain and Northern Ireland, to the Brexit Party and UKIP which support leaving the EU with no deal (what they call a ‘clean break’) and then negotiating individual trade deals on a country-by-country basis.

The Labour Party also supports a People’s Vote, but only after renegotiating the Withdrawal Agreement and Political Declaration, so that if Brexit took place, the UK would have a close relationship with the single market and remain in a customs union. Also, various laws and regulations on environmental protection and workers’ rights would be retained. The referendum would take place within six months of the election and would be a choice between this new deal and remain.

But what are the economic costs and benefits of these various alternatives? Prior to the June 2016 referendum, the Treasury costed various scenarios. After 15 years, a deal would make UK GDP between 3.4% and 7.8% lower than if it remained in the EU, depending on the nature of the deal. No deal would make GDP between 5.4% and 9.5% lower.

Then in November 2018, the Treasury published analysis of the original deal negotiated by Theresa May in July 2018 (the ‘Chequers deal’). It estimated that GDP would be up to 3.9% lower after 15 years than it would have been if the UK had remained in the EU. In the case of a no-deal Brexit, GDP would be up to 9.3% lower after 15 years.

When asked for Treasury forecasts of the effects of Boris Johnson’s deal, the Chancellor, Sajid Javid, said that the Treasury had not been asked to provide forecasts as the deal was “self-evidently in our economic interest“.

Other forecasters, however, have analysed the effects of the Johnson deal. The National Institute for Economic and Social Research (NIESR), the UK’s longest established independent economic research institute, has estimated the costs of various scenarios, including the Johnson deal, the May deal, a no-deal scenario and also a scenario of continuing uncertainty with no agreement over Brexit. The NIESR estimates that, under the Johnson deal, with a successful free-trade agreement with the EU, in 10 years’ time UK GDP will be 3.5% lower than it would be by remaining in the EU. This represents a cost of £70 billion. The costs would arise from less trade with the EU, lower inward investment, slower growth in productivity and labour shortages from lower migration. These would be offset somewhat by savings on budget contributions to the EU.

Under Theresa May’s deal UK GDP would be 3.0% lower (and thus slightly less costly than Boris Johnson’s deal). Continuing in the current situation with chronic uncertainty about whether the UK would leave or remain would leave the UK 2% worse off after 10 years. In other words, uncertainty would be less damaging than leaving. The costs from the various scenarios would be in addition to the costs that have already occurred – the NIESR estimates that GDP is already 2.5% smaller than it would have been as a result of the 2016 Brexit vote.

Another report also costs the various scenarios. In ‘The economic impact of Boris Johnson’s Brexit proposals’, Professors Anand Menon and Jonathan Portes and a team at The UK in a Changing Europe estimate the effects of a decline in trade, migration and productivity from the various scenarios – again, 10 years after new trading arrangements are in place. According to their analysis, UK GDP would be 4.9%, 6.4% and 8.1% lower with the May deal, the Johnson deal and no deal respectively than it would have been from remaining in the EU.

But how much reliance should we put on such forecasts? How realistic are their assumptions? What other factors could they have taken into account? Look at the two reports and at the articles discussing them and then consider the questions below which are concerned with the nature of economic forecasting.

Articles

Reports

Questions

  1. What are the arguments in favour of the assumptions and analysis of the two recent reports considered in this blog?
  2. What are the arguments against the assumptions and analysis of the two reports?
  3. How useful are forecasts like these, given the inevitable uncertainty surrounding (a) the outcome of negotiations post Brexit and (b) the strength of the global economy?
  4. If it could be demonstrated beyond doubt to everyone that each of the Brexit scenarios meant that UK GDP would be lower than if it remained in the EU, would this prove that the UK should remain in the EU? Explain.
  5. If economic forecasts turn out to be inaccurate, does this mean that economists should abandon forecasting?

There have been many analyses of the economic effects of Brexit, both before the referendum and at various times since, including analyses of the effects of the deal negotiated by Theresa May’s government and the EU. But with the prospect of a no-deal Brexit on 31 October under the new Boris Johnson government, attention has turned to the effects of leaving the EU without a deal.

There have been two major analyses recently of the likely effects of a no-deal Brexit – one by the International Monetary Fund (IMF) and one by the Office for Budget Responsibility (OBR).

IMF analysis

The first was in April by the IMF as part of its 6-monthly World Economic Outlook. In Scenario Box 1.1. ‘A No-Deal Brexit’ on page 28 of Chapter 1, the IMF looked at two possible scenarios.

Scenario A assumes no border disruptions and a relatively small increase in UK sovereign and corporate spreads. Scenario B incorporates significant border disruptions that increase import costs for UK firms and households (and to a lesser extent for the European Union) and a more severe tightening in financial conditions.

Under both scenarios, UK exports to the EU and UK imports from the EU revert to WTO rules. As a result, tariffs are imposed by mid-2020 or earlier. Non-tariff barriers rise at first but are gradually reduced over time. Most free-trade arrangements between the EU and other countries are initially unavailable to the UK (see the blog EU strikes major trade deals) but both scenarios assume that ‘new trade agreements are secured after two years, and on terms similar to those currently in place.’

Both scenarios also assume a reduction in net immigration from the EU of 25 000 per year until 2030. Both assume a rise in corporate and government bond rates, reflecting greater uncertainty, with the effect being greater in Scenario B. Both assume a relaxing of monetary and fiscal policy in response to downward pressures on the economy.

The IMF analysis shows a negative impact on UK GDP, with the economy falling into recession in late 2019 and in 2020. This is the result of higher trade costs and reduced business investment caused by a poorer economic outlook and increased uncertainty. By 2021, even under Scenario A, GDP is approximately 3.5% lower than it would have been if the UK had left the EU with the negotiated deal. For the rest of the EU, GDP is around 0.5% lower, although the effect varies considerably from country to country.

The IMF analysis makes optimistic assumptions, such as the UK being able to negotiate new trade deals with non-EU countries to replace those lost by leaving. More pessimistic assumptions would lead to greater costs.

OBR analysis

Building on the analysis of the IMF, the Office for Budget Responsibility considered the effect of a no-deal Brexit on the public finances in its biennial Fiscal risks report, published on 17 July 2019. This argues that, under the relatively benign Scenario A assumptions of the IMF, the lower GDP would result in annual public-sector net borrowing (PSNB) rising. By 2021/22, if the UK had left with the deal negotiated with the EU, PSNB would have been around £18bn. A no-deal Brexit would push this up to around £51bn.


According to the OBR, the contributors to this rise in public-sector net borrowing of around £33bn are:

  • A fall in income tax and national insurance receipts of around £16.5bn per year because of lower incomes.
  • A fall in corporation tax and expenditure taxes, such as VAT, excise duties and stamp duty of around £22.5bn per year because of lower expenditure.
  • A fall in capital taxes, such as inheritance tax and capital gains tax of around £10bn per year because of a fall in asset prices.
  • These are offset to a small degree by a rise in customs duties (around £10bn) because of the imposition of tariffs and by lower debt repayments (of around £6bn) because of the Bank of England having to reduce interest rates.

The rise in PSNB would constrain the government’s ability to use fiscal policy to boost the economy and to engage in the large-scale capital projects advocated by Boris Johnson while making the substantial tax cuts he is proposing. A less optimistic set of assumptions would, of course, lead to a bigger rise in PSNB, which would further constrain fiscal policy.

Articles

Video

Reports

Questions

  1. What are the assumptions of the IMF World Economic Outlook forecasts for the effects of a no-deal Brexit? Do you agree with these assumptions? Explain.
  2. What are the assumptions of the analysis of a no-deal Brexit on the public finances in the OBR’s Fiscal risks report? Do you agree with these assumptions? Explain.
  3. What is the difference between forecasts and analyses of outcomes?
  4. For what reasons might growth over the next few years be higher than in the IMF forecasts under either scenario?
  5. For what reasons might growth over the next few years be lower than in the IMF forecasts under either scenario?
  6. For what reasons might public-sector net borrowing (PSNB) over the next few years be lower than in the OBR forecast?
  7. For what reasons might PSNB over the next few years be higher than in the OBR forecast?

Today’s title is inspired from the British Special Air Service (SAS) famous catchphrase, ‘Who Dares Wins’ – similar variations of which have been adopted by several elite army units around the world. The motto is often credited to the founder of the SAS, Sir David Stirling (although similar phrases can be traced back to ancient Rome – including ‘qui audet adipiscitur’, which is Latin for ‘who dares wins’). The motto was used to inspire and remind soldiers that to successfully accomplish difficult missions, one has to take risks (Geraghty, 1980).

In the world of economics and finance, the concept of risk is endemic to investments and to making decisions in an uncertain world. The ‘no free lunch’ principle in finance, for instance, asserts that it is not possible to achieve exceptional returns over the long term without accepting substantial risk (Schachermayer, 2008).

Undoubtedly, one of the riskiest investment instruments you can currently get your hands on is cryptocurrencies. The most well-known of them is Bitcoin (BTC), and its price has varied spectacularly over the past ten years – more than any other asset I have laid my eyes on in my lifetime.

The first published exchange rate of BTC against the US dollar dates back to 5 October 2009 and it shows $1 to be exchangeable for 1309.03 BTC. On 15 December 2017, 1 BTC was traded for $17,900. But then, a year later the exchange rate was down to just over $1 = $3,500. Now, if this is not volatility I don’t know what is!

In such a market, wouldn’t it be wonderful if you could somehow predict changes in market sentiment and volatility trends? In a hot-off-the press article, Shen et al (2019) assert that it may be possible to predict changes in trading volumes and realised volatility of BTC by using the number of BTC-related tweets as a measure of attention. The authors source Twitter data on Bitcoin from BitInfoCharts.com and tick data from Bitstamp, one of the most popular and liquid BTC exchanges, over the period 4/9/2014 to 31/8/2018.

According to the authors:

This measure of investor attention should be more informed than that of Google Trends and therefore may reflect the attention Bitcoin is receiving from more informed investors. We find that the volume of tweets are significant drivers of realised [price] volatility (RV) and trading volume, which is supported by linear and nonlinear Granger causality tests.

They find that, according to Granger causality tests, for the period from 4/9/2014 to 8/10/2017, past days’ tweeting activity influences (or at least forecasts) trading volume. While from 9/10/2017 to 31/8/2018, previous tweets are significant drivers/forecasters of not only trading volume but also realised price volatility.

And before you reach out for your smartphone, let me clarify that, although previous days’ tweets are found in this paper to be good predictors of realised price volatility and trading volume, they have no significant effect on the returns of Bitcoin.

Article

References

Questions

  1. Explain how the number of tweets can be used to gauge investors’ intentions and how it can be linked to changes in trading volume.
  2. Using Google Scholar, make a list of articles that have used Twitter and Google Trends to predict returns, volatility and trading volume in financial markets. Present and discuss your findings.
  3. Would you invest in Bitcoin? Why yes? Why no?

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.

Articles

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?