Tag: financial crisis

Ten years ago (on 9 August 2007), the French bank BNP Paribas sparked international concern when it admitted that it didn’t know what many of its investments in the US sub-prime property market were worth and froze three of its hedge funds. This kicked off the financial crisis and the beginning of the credit crunch.

In September 2007 there was a run on the Northern Rock bank in the UK, forcing the Bank of England to provide emergency funding. Northern Rock was eventually nationalised in February 2008. In July 2008, the US financial authorities had to provide emergency assistance to America’s two largest mortgage lenders, Fannie Mae and Freddie Mac.

Then in September 2008, the financial crisis really took hold. The US bank, Lehman Brothers, filed for bankruptcy, sending shock waves around the global economy. In the UK, Lloyds TSB announced that it was taking over the UK’s largest mortgage lender, Halifax Bank Of Scotland (HBOS), after a run on HBOS shares.

Later in the month, Fortis, the huge Belgian banking, finance and insurance company, was partly nationalised to prevent its bankruptcy. Also the UK government was forced to take control of mortgage-lender, Bradford & Bingley’s, mortgages and loans, with the rest of the business sold to Santander.

Early in October 2008, trading was suspended in the main Icelandic banks. Later in the month, the UK government announced a £37 billion rescue package for Royal Bank of Scotland (RBS), Lloyds TSB and HBOS. Then in November it partially nationalised RBS by taking a 58% share in the bank. Meanwhile various other rescue packages and emergency loans to the banking sector were taking place in other parts of the world. See here for a timeline of the financial crisis.

So, ten years on from the start of the crisis, have the lessons of the crisis been learnt. Could a similar crisis occur again?

The following articles look at this question and the answers are mixed.

On the positive side, banks are much more highly capitalised than they were ten years ago. Moves by the Basel Committee on Banking Supervision in its Basel III regulatory framework have ensured that banks are much more highly capitalised and operate with higher levels of liquidity. What is more, banks are generally more cautious about investing in highly complex and risky collateralised assets.

On the negative side, increased flexibility in labour markets, although helping to keep unemployment down, has allowed a huge squeeze on real wages as austerity measures have dampened the economy. What is more, household debt is rising to possibly unsustainable levels. Over the past year, unsecured debt (e.g. personal loans and credit card debt) have risen by 10% and yet (nominal) household incomes have risen by only 1.5%. While record low interest rates make such loans relatively affordable, when interest rates do eventually start to rise, this could put a huge strain on household finances. But if households start to rein in their borrowing, this would put downward pressure on aggregate demand and jeopardise economic growth.

Articles

The crisis: 10 years in three chart BBC News, Simon Jack (9/8/17)
Darling: ‘Alarm bells ringing’ for UK economy BBC News (9/8/17)
Alistair Darling warns against ‘complacency’ 10 years on from financial crisis The Telegraph (9/8/17)
A decade after the financial crisis consumers are still worried Independent, Kate Hughes (9/8/17)
Bankers still do not understand complex reasons behind financial crash, senior politician warns Independent, Ashley Cowburn (9/8/17)
We let the 2007 financial crisis go to waste The Guardian, Torsten Bell (9/8/17)
Bank of England warns of complacency over big rise in personal debt The Guardian, Larry Elliott (24/7/17)
On the 10th anniversary of the global financial meltdown, here’s what’s changed USA Today, Kim Hjelmgaard (8/8/17)
Financial crisis: Ten years ago today the tremors started Irish Times (9/8/17)
If We Are Racing to the Pre-Crisis Bubble, Here Are 12 Charts To Watch Bloomberg, Sid Verma (9/8/17)

Videos

The financial crisis ten years ago to the day Euronews (9/8/17)
Ten years later: What really sparked the financial crisis Sky News, Adam Parsons (9/8/17)
Bank of England warns on household debt Channel 4 News, Siobhan Kennedy (25/7/17)

Questions

  1. Explain what are meant by ‘collateralised debt obligations (CDOs)’.
  2. What part did CDOs play in the financial crisis of 2007–8?
  3. In what ways is the current financial situation similar to that in 2007–8?
  4. In what ways is it different?
  5. Explain the Basel III banking regulations.
  6. To what extent has the Bank of England exceeded the minimum Basel III requirements?
  7. Explain what is meant by ‘stress testing’ the banks? Does this ensure that there can never be a repeat of the financial crisis?
  8. Why is it desirable for central banks eventually to raise interest rates to a level of around 2–3%? Why might it be difficult for central banks to do that?

In the last blog post, As UK inflation rises, so real wages begin to fall, we showed how the rise in inflation following the Brexit vote is causing real wages in the UK to fall once more, after a few months of modest rises, which were largely due to very low price inflation. But how does this compare with other OECD countries?

In an article by Rui Costa and Stephen Machin from the LSE, the authors show how, from the start of the financial crisis in 2007 to 2015 (the latest year for which figures are available), real hourly wages fell further in the UK than in all the other 27 OECD countries, except Greece (see the chart below, which is Figure 5 from their article). Indeed, only in Greece, the UK and Portugal were real wages lower in 2015 than in 2007.

The authors examine a number of aspects of real wages in the UK, including the rise in self employment, differences by age and sex, and for different percentiles in the income distribution. They also look at how family incomes have suffered less than real wages, thanks to the tax and benefit system.

The authors also look at what the different political parties have been saying about the issues during their election campaigns and what they plan to do to address the problem of falling, or only slowly rising, real wages.

Articles

Real Wages and Living Standards in the UK LSE – Centre for Economic Performance, Rui Costa and Stephen Machin (May 2017)
The Return of Falling Real Wages LSE – Centre for Economic Performance, David Blanchflower, Rui Costa and Stephen Machin (May 2017)
The chart that shows UK workers have had the worst wage performance in the OECD except Greece Independent, Ben Chu (5/6/17)

Data

Earnings and working hours ONS
OECD.Stat OECD
International comparisons of productivity ONS

Questions

  1. Why have real wages fallen more in the UK than in all OECD countries except Greece?
  2. Which groups have seen the biggest fall in real wages? Explain why.
  3. What policies are proposed by the different parties for raising real wages (a) generally; (b) for the poorest workers?
  4. How has UK productivity growth compared with that in other developed countries? What explanations can you offer?
  5. What is the relationship between productivity growth and the growth in real wages?

According to Christine Lagarde, Managing Director of the IMF, the slow growth in global productivity is acting as a brake on the growth in potential income and is thus holding back the growth in living standards. In a recent speech in Washington she said that:

Over the past decade, there have been sharp slowdowns in measured output per worker and total factor productivity – which can be seen as a measure of innovation. In advanced economies, for example, productivity growth has dropped to 0.3 per cent, down from a pre-crisis average of about 1 per cent. This trend has also affected many emerging and developing countries, including China.

We estimate that, if total factor productivity growth had followed its pre-crisis trend, overall GDP in advanced economies would be about 5 percent higher today. That would be the equivalent of adding another Japan – and more – to the global economy.

So why has productivity growth slowed to well below pre-crisis rates? One reason is an ageing working population, with older workers acquiring new skills less quickly. A second is the slowdown in world trade and, with it, the competitive pressure for firms to invest in the latest technologies.

A third is the continuing effect of the financial crisis, with many highly indebted firms forced to make deep cuts in investment and many others being cautious about innovating. The crisis has dampened risk taking – a key component of innovation.

What is clear, said Lagarde, is that more innovation is needed to restore productivity growth. But markets alone cannot achieve this, as the benefits of invention and innovation are, to some extent, public goods. They have considerable positive externalities.

She thus called on governments to give high priority to stimulating productivity growth and unleashing entrepreneurial energy. There are several things governments can do. These include market-orientated supply-side policies, such as removing unnecessary barriers to competition, driving forward international free trade and cutting red tape. They also include direct intervention through greater investment in education and training, infrastructure and public-sector R&D. They also include giving subsidies and/or tax relief for private-sector R&D.

Banks too have a role in chanelling finance away from low-productivity firms and towards ‘young and vibrant companies’.

It is important to recognise, she concluded, that innovation and structural change can lead to some people losing out, with job losses, low wages and social deprivation. Support should be given to such people through better education, retraining and employment incentives.

Articles

IMF chief warns slowing productivity risks living standards drop Reuters, David Lawder (3/4/17)
Global productivity slowdown risks social turmoil, IMF warns Financial Times, Shawn Donnan (3/4/17)
Global productivity slowdown risks creating instability, warns IMF The Guardian, Katie Allen (3/4/17)
The Guardian view on productivity: Britain must solve the puzzle The Guardian (9/4/17)

Speech
Reinvigorating Productivity Growth IMF Speeches, Christine Lagarde, Managing Director, IMF(3/4/17)

Paper
Gone with the Headwinds: Global Productivity IMF Staff Discussion Note, Gustavo Adler, Romain Duval, Davide Furceri, Sinem Kiliç Çelik, Ksenia Koloskova and Marcos Poplawski-Ribeiro (April 2017)

Questions

  1. What is the relationship between actual and potential economic growth?
  2. Distinguish between labour productivity and total factor productivity.
  3. Why has total factor productivity growth been considerably slower since the financial crisis than before?
  4. Is sustained productivity growth (a) a necessary and/or (b) a sufficient condition for a sustained growth in living standards?
  5. Give some examples of technological developments that could feed through into significant growth in productivity.
  6. What is the relationship between immigration and productivity growth?
  7. What policies would you advocate for increasing productivity? Explain why.

Is too much expected of economists? When economic forecasts turn out to be wrong, as they often are, economists are criticised for having inaccurate or unrealistic models. But is this a fair criticism?

The following article by Richard Whittle from Manchester Metropolitan University looks at what economists can and cannot do. The article highlights two key problems for economic forecasting.

The first concerns human behaviour, which is influenced by a whole range of factors and can change very rapidly in response to changing circumstances. Moods of optimism or pessimism can quickly spread in response to a news item, such as measures announced by Donald Trump or latest data on growth or the housing market.

The second concerns the whole range of possible economic shocks. Such shocks, by their very nature, are hard to predict and can quickly make forecasts wrong. They could be a surprise election result, a surprise government policy change, a natural disaster, a war or a series of terrorist attacks. And these shocks, in turn, affect human behaviour. Consumption and investment may rise or fall as the events affect confidence and herd behaviour.

But is it a fair criticism of economics that it cannot foretell the future? Do economists, as the article says, throw up their hands and curse economics as a futile endeavour? Not surprisingly, the answer given is no! The author gives an analogy with medicine.

A doctor cannot definitely prevent illness, but can offer advice on prevention and hopefully offer a cure if you do get ill. This is the same for the work economists do.

Economists can offer advice on preventing crises or slowdowns but cannot definitively prevent them from happening. Economists can also offer robust advice on restoring growth, although when the advice is that the economy has grown too fast and should slow, it is often not welcomed by policy makers.

Helping understanding the various drivers in an economy and how humans are likely to respond to various incentives is a key part of what economists do. But making predictions with 100% certainty is asking too much of economists.

And just as medical professionals can predict that if you smoke, eat unhealthy food or take no exercise you are likely to be less healthy and die younger, but cannot say precisely when an individual will die, so too economists can predict that certain policy measures are likely to increase or decrease GDP or employment or inflation, but they cannot say precisely how much they will be affected.

As the article says, “the true value of the economist lies not in mystical fortune telling, but in achieving a better understanding of the nature of the economies in which we live and work.”

Article

How to be an economist in 2017 The Conversation, Richard Whittle (24/1/17)

Questions

  1. For what reasons has economics been ‘in crisis’? What is the solution to this crisis?
  2. Look at some macroeconomic forecasts for a country of your choice made two years ago for today (see, for example, forecasts made by the IMF, OECD or a central bank). How accurate were they? Explain any inaccuracies.
  3. To what extent is economic forecasting like weather forecasting?
  4. What is meant by cumulative causation? Give some examples. Why does cumulative causation make economic forecasting difficult?
  5. How is the increased usage of contactless card payments likely to affect spending patterns? Explain why.
  6. Why is it difficult to forecast the effects of Brexit?
  7. How can economic advisors help governments in designing policy?
  8. Why do people tend to overweight high probabilities and underweight low ones?

Economic forecasting came in for much criticism at the time of the financial crisis and credit crunch. Few economists had predicted the crisis and its consequences. Even Queen Elizabeth II, on a visit to the London School of Economics in November 2008, asked why economists had got it so wrong. Similar criticisms have emerged since the Brexit vote, with economic forecasters being accused of being excessively pessimistic about the outcome.

The accuracy of economic forecasts was one of the topics discussed by Andy Haldane, Chief Economist at the Bank of England. Speaking at the Institute for Government in London, he compared economic forecasting to weather forecasting (see section from 15’20” in the webcast):

“Remember that? Michael Fish getting up: ‘There’s no hurricane coming but it will be very windy in Spain.’ Very similar to the sort of reports central banks – naming no names – issued pre-crisis, ‘There is no hurricane coming but it might be very windy in the sub-prime sector.” (18’40”)

The problem with the standard economic models which were used for forecasting is that they were essentially equilibrium models which work reasonably well in ‘normal’ times. But when there is a large shock to the economic system, they work much less well. First, the shocks themselves are hard to predict. For example, the sub-prime crisis in 2007/8 was not foreseen by most economists.

Then there is the effect of the shocks. Large shocks are much harder to model as they can trigger strong reactions by consumers and firms, and governments too. These reactions are often hugely affected by sentiment. Bouts of pessimism or even panic can grip markets, as happened in late 2008 with the collapse of Lehman Brothers. Markets can tumble way beyond what would be expected by a calm adjustment to a shock.

It can work the other way too. Economists generally predicted that the Brexit vote would lead to a fall in GDP. However, despite a large depreciation of sterling, consumer sentiment held up better than was expected and the economy kept growing.

But is it fair to compare economic forecasting with weather forecasting? Weather forecasting is concerned with natural phenomena and only seeks to forecast with any accuracy a few days ahead. Economic forecasting, if used correctly, highlights the drivers of economic change, such as government policy or the Brexit vote, and their likely consequences, other things being equal. Given that economies are constantly being affected by economic shocks, including government or central bank actions, it is impossible to forecast the state of the macroeconomy with any accuracy.

This does not mean that forecasting is useless, as it can highlight the likely effects of policies and take into account the latest surveys of, say, consumer and business confidence. It can also give the most likely central forecast of the economy and the likely probabilities of variance from this central forecast. This is why many forecasts use ‘fan charts’: see, for example, Bank of England forecasts.

What economic forecasts cannot do is to predict the precise state of the economy in the future. However, they can be refined to take into account more realistic modelling, including the modelling of human behaviour, and more accurate data, including survey data. But, however refined they become, they can only ever give likely values for various economic variables or likely effects of policy measures.

Webcast

Andy Haldane in Conversation Institute for Government (5/1/17)

Articles

‘Michael Fish’ Comments From Andy Haldane Pounced Upon By Brexit Supporters Huffington Post, Chris York (6/1/17)
Crash was economists’ ‘Michael Fish’ moment, says Andy Haldane BBC News (6/1/17)
The Bank’s ‘Michael Fish’ moment BBC News, Kamal Ahmed (6/1/17)
Bank of England’s Haldane admits crisis in economic forecasting Financial Times, Chris Giles (6/1/17)
Chief economist of Bank of England admits errors in Brexit forecasting BBC News, Phillip Inman (5/1/17)
Economists have completely failed us. They’re no better than Mystic Meg The Guardian, Simon Jenkins (6/1/17)
Five things economists can do to regain trust The Guardian, Katie Allen and Phillip Inman (6/1/17)
Andy Haldane: Bank of England has not changed view on negative impact of Brexit Independent, Ben Chu (5/1/17)
Big data could help economists avoid any more embarrassing Michael Fish moments Independent, Hamish McRae (7/1/17)

Questions

  1. In what ways does economic forecasting differ from weather forecasting?
  2. How might economic forecasting be improved?
  3. To what extent were the warnings of the Bank of England made before the Brexit vote justified? Did such warnings take into account actions that the Bank of England was likely to take?
  4. How is the UK economy likely to perform over the coming months? What assumptions are you making here?
  5. Brexit hasn’t happened yet. Why is it extremely difficult to forecast today what the effects of actually leaving the EU will be on the UK economy once it has happened?
  6. If economic forecasting is difficult and often inaccurate, should it be abandoned?
  7. The Bank of England is forecasting that inflation will rise in the coming months. Discuss reasons why this forecast is likely to prove correct and reasons why it may prove incorrect.
  8. How could economic forecasters take the possibility of a Trump victory into account when making forecasts six months ago of the state of the global economy a year or two ahead?
  9. How might the use of big data transform economic forecasting?