Tag: Net worth

This is the second of three blogs looking at high inflation and its implications. Here we look at changes in the housing market and its effects on households. Another way of analysing the financial importance of the housing and mortgage markets is through the balance sheets and associated flow accounts of the household sector.

We used the concept of balance sheets in our blog Bank failures and the importance of balance sheets. In the blog we referred to the balance-sheet effects from interest rate hikes on the financial well-being of financial institutions.

The analysis is analogous for households. Again, we can identify two general effects: rising borrowing and debt-servicing costs, and easing asset prices.

The following table shows the summary balance sheet of the UK household sector in 1995 and 2021.

Source: National balance sheet estimates for the UK: 1995 to 2021 (January 2023) and series RPHA, ONS

The total value of the sector’s net wealth (or ‘worth’) is the sum of its net financial wealth and its non-financial assets. The former is affected by the value of the stock of outstanding mortgages, which we can see from row 3 in the table (‘loans secured on dwellings’) has increased from £390 billion in 1995 to £1.56 trillion in 2021. This is equivalent to an increase from 70 to 107 per cent of the sector’s annual disposable income. This increase helps to understand the sensitivity of the sector’s financial position to interest rate increases and the sizeable cash flow effects. These effects then have implications for the sector’s spending.

Housing is also an important asset on household balance sheets. The price of housing reflects both the value of dwellings and the land on which they sit, and these are recorded separately on the balance sheets. Their combined balance sheet value increased from £1.09 trillion (£467.69bn + £621.49bn) in 1995 to £6.38 trillion (£1529.87bn + £4853.16bn) in 2021 or from 128% of GDP to 281%.

The era of low inflation and low interest rates that had characterised the previous two decades or so had helped to boost house price growth and thus the value of non-financial assets on the balance sheets. In turn, this had helped to boost net worth, which increased from £2.78 trillion in 1995 to £12.29 trillion in 2021 or from 319% of GDP to 541%.

Higher interest rates and wealth

The advent of higher interest rates was expected not only to impact on the debt servicing costs of households but the value of assets, including, in the context of this blog, housing. As Chart 3 in the previous blog helped to show, higher interest rates and higher mortgage repayments contributed to an easing of house price growth as housing demand eased. On the other hand, the impact on mortgaged landlords helped fuel the growth of rental prices as they passed on their increased mortgage repayment costs to tenants.

Higher interest rates not only affect the value of housing but financial assets such as corporate and government bonds whose prices are inversely related to interest rates. Research published by the Resolution Foundation in July 2023 estimates that these effects are likely to have contributed to a fall in the household wealth from early 2021 to early 2023 by as much as £2.1 trillion.

The important point here is that further downward pressure on asset prices is expected as they adjust to higher interest rates. This and the impact of higher debt servicing costs will therefore continue to impact adversely on general financial well-being with negative implications for the wider macroeconomic environment.

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Data

Questions

  1. What possible indicators could be used to assess the affordability of residential house prices?
  2. What do you understand by the concept of the monetary policy transmission mechanism? How do the housing and mortgage markets relate to this concept?
  3. What factors might affect the proportion of people taking out fixed-rate mortgages rather than variable-rate mortgages?
  4. What is captured by the concept of net worth? Discuss how the housing and mortgage markets affect the household sector’s net worth.
  5. What are cash-flow effects? How do rising interest rates effect savers and borrowers?
  6. How might wealth effects from rising interest rates impact younger and older people differently?
  7. Discuss the ways by which house price changes could affect household consumption.

March 2023 saw the failure of Silicon Valley Bank (SVB), a regional US bank based in California that focused on financial services for the technology sector. It also saw the forced purchase of global-banking giant, Credit Suisse, by rival Swiss bank, UBS. These events fuelled concerns over the banking sector’s financial well-being, with fears for other financial institutions and the wider economy.

Yet it is not the only sector where concerns abound over financial well-being. The cost-of-living crisis, the hike in interest rates and the economic slowdown continue to have an adverse impact on the finances of households and businesses. Furthermore, many governments face difficult fiscal choices in light of the effects of recent economic shocks, such as COVID and the Russian invasion of Ukraine, on the public finances.

Balance sheets and flow accounts

When thinking about the financial well-being of people, business and governments it is now commonplace for economists to reference balance sheets. This may seem strange to some since it is easy to think of balance sheets as the domain of accountants or those working in finance. Yet balance sheets, and the various accounts that lie behind them, are essential in analysing financial well-being and, therefore, in helping to understand economic behaviour and outcomes. Hence, it is important for economists to embrace them too.

A balance sheet is a record of stocks of assets and liabilities of individuals or organisations. Behind these stocks are accounts capturing flows, including income, expenditure, saving and borrowing. There are three types of flow accounts: income, financial and capital. Together, the balance sheets and flow accounts provide important insights into the overall financial position of individuals or organisations as well as the factors contributing to changes in their financial well-being.

The stock value of a sector’s or country’s non-financial assets and its net financial worth (i.e. the balance of financial assets over liabilities) is referred to as its net worth. Non-financial assets include produced assets, such as dwellings and other buildings, machinery and computer software, and non-produced assets, largely land.

An increase in the net worth of the sectors or the whole country implies greater financial well-being, while a decrease implies greater financial stress. Yet a deeper understanding of financial well-being also requires an analysis of the composition of the balance sheets as well as their potential vulnerabilities from shocks, such as interest rate rises, falling asset prices or borrowing constraints.

UK net worth

The chart shows the UK’s stock of net worth since 1995, alongside its value relative to annual national income (GDP) (click here for a PowerPoint). In 2021, the net worth of the UK was £11.8 trillion, equivalent to 5.2 times the country’s annual GDP. This marked an increase of £1.0 trillion or 9 per cent over 2020. This was driven largely by an increase in land values (non-produced non-financial assets).

In contrast, the stock of net worth fell in both 2008 and 2009 at the height of the financial crisis and the ensuing economic slowdown, which contributed to the country’s net worth falling by over 8 per cent.

The chart shows that net financial assets continue to make a negative contribution to the country’s net worth. In 2021 financial liabilities exceeded financial assets by the equivalent of 19 per cent of annual national income.

Non-financial corporations and the public sector together had financial liabilities in excess of financial assets of £3.4 trillion and £2.5 trillion respectively. However, once non-financial assets are accounted for, non-financial corporations had a positive net worth of £607 billion, although their value was not sufficient to prevent the public sector having a negative net worth of £1.2 trillion. Meanwhile, households had a positive net worth of £11.4 trillion and financial corporations a negative net worth of £4.9 billion.

Vulnerabilities and the balance sheets

The collapse of Silicon Valley Bank (SVB) resulted from balance sheet distress. Some argue that this distress can be attributed to a mismanagement of the bank’s liquidity position, which saw the bank use the surge in funds, on the back of buoyant activity among technology companies, to purchase long-dated bonds while, at the same time, reducing the share of assets held in cash. However, as the growth of the technology sector slowed as pandemic restrictions eased and, crucially, as central banks, including the Federal Reserve, began raising rates, the value of these long-dated bonds fell. This is because there is a negative relationship between interest rates and bond prices. Bonds pay a fixed rate of interest and so as other interest rates rise, bonds become less attractive to savers, pushing down their price. As depositors withdrew funds, Silicon Valley Bank found itself increasingly trying to generate liquidity from assets whose value was falling.

A major problem with balance sheet distress is contagion. This can occur, in part, because of what is known as ‘counterparty risk’. This simply refers to the idea that one party’s well-being is tied directly to that of another. However, the effects on economies from counterparty risks can be amplified by their impact on general credit conditions, confidence and uncertainty. This helps to explain why the US government stepped in quickly to guarantee SVB deposits.

There is, however, a ‘moral hazard’ problem here: if central banks are always prepared to step in, it can signal to banks that they are too big to fail and disincentivise them for adopting appropriate risk management strategies in the first place.

Subsequently, First Citizens Bank acquired the commercial banking business of SVB, while its UK subsidiary was acquired by HSBC for £1.

Interest rates and financial well-being

In light of the failures of SVB and Credit Suisse, the raising of interest rates by inflation-targeting central banks has raised concerns about the liquidity and liabilities positions of banks and non-bank financial institutions, such as hedge funds, insurers and pension funds. As we have seen, higher interest rates push down the value of bonds, which form a major part of banks’ balance sheets. The problem for central banks is that, if this forced them to make large-scale injections of liquidity by buying bonds (quantitative easing), it would make the fight against inflation more difficult. Quantitative easing is the opposite of tightening monetary policy and thus credit conditions, which are seen as necessary to control inflation.

Yet the raising of interest rates has implications for the financial well-being of other sectors too since they also are affected by the effects on asset values and debt-servicing costs. For example, raising interest rates has a severe impact on the cashflow of UK homeowners with large variable-rate mortgages. This can substantially affect their spending. The UK has a high proportion of homeowners on variable-rate mortgages or fairly short-term fixed-rate mortgages. Also for a large number of households their mortgages are high relative to their incomes.

In short, falling asset values and increasing debt-servicing costs from rising interest rates in response to rising inflation tends to dampen spending in the economy. The effects will be larger the more burdened with debt people and businesses are, and the less liquidity they have to access. This has the potential to lead to a financial consolidation in order to restore the well-being of balance sheets. This involves cutting borrowing and spending.

Such a consolidation could be exacerbated if financial institutions become distressed and if it were to result in even larger numbers of people and businesses facing greater restrictions in accessing credit. These balance sheet pressures will continue to weigh on the policy responses of central banks as they attempt to navigate economies out of the current inflationary pressures.

Articles

Questions

  1. What is recorded on a balance sheet? Explain with reference to the household sector.
  2. What is meant by net worth? Does an increase in net worth mean that an individual’s or sector’s financial well-being has increased?
  3. What is meant by ‘liquidity-constrained’ individuals or businesses? What factors might explain how liquidity constraints arise?
  4. It is sometimes argued that there is a predator-prey relationship between income and debt. How could such a relationship arise and what is its importance for the economy?
  5. Why might a deterioration of a country’s balance sheets have both national and international consequences?
  6. Explain the possible trade-offs facing central banks when responding to inflationary pressures.

Confidence figures suggest that sentiment weakened across several sectors in June with significant falls recorded in retail and construction. This is consistent with the monthly GDP estimates from the ONS which suggest that output declined in March and April by 0.1 per cent and 0.4 per cent respectively. The confidence data point to further weakness in growth down the line. Furthermore, it poses the risk of fuelling a snowball effect with low growth being amplified and sustained by low confidence.

Chart 1 shows the confidence balances reported by the European Commission each month since 2007. It highlights the collapse in confidence across all sectors around the time of the financial crisis before a strong and sustained recovery in the 2010s. However, in recent months confidence indicators have eased significantly, undoubtedly reflecting the heightened uncertainty around Brexit. (Click here to download a PowerPoint copy of the chart.)

Between June 2016 and June 2019, the confidence balances have fallen by at least 8 percentage points. In the case of the construction the fall is 14 points while in the important service sector, which contributes about 80 per cent of the economy’s national income, the fall is as much as 15 points.

Changes in confidence are thought, in part, to reflect levels of economic uncertainty. In particular, they may reflect the confidence around future income streams with greater uncertainty pulling confidence down. This is pertinent because of the uncertainty around the UK’s future trading relationships following the 2016 referendum which saw the UK vote to leave the EU. In simple terms, uncertainty reduces the confidence people and businesses have when forming expectations of what they can expect to earn in the future.

Greater uncertainty and, hence, lower confidence tend to make people and businesses more prudent. The caution that comes from prudence counteracts the inherent tendency of many of us to be impatient. This impatience generates an impulse to spend now. On the other hand, prudence encourages us to take actions to increase net worth, i.e. wealth. This may be through reducing our exposure to debt, perhaps by looking to repay debts or choosing to borrow smaller sums than we may have otherwise done. Another option may be to increase levels of saving. In either case, the effect of greater prudence is the postponement of spending. Therefore, in times of high uncertainty, like those of present, people and businesses would be expected to want to have greater financial resilience because they are less confident about what the future holds.

To this point, the saving ratio – the proportion of disposable income saved by households – has remained historically low. In Q1 2019 the saving ratio was 4.4 per cent, well below its 60-year average of 8.5 per cent. This appears to contradict the idea that households respond to uncertainty by increasing saving. However, at least in part, the squeeze seen over many years following the financial crisis on real earnings, i.e. inflation-adjusted earnings, restricted the ability of many to increase saving. With real earnings having risen again over the past year or so, though still below pre-crisis levels, households may have taken this opportunity to use earnings growth to support spending levels rather than, as we shall see shortly, looking to borrow.

Another way in which the desire for greater financial resilience can affect behaviour is through the appetite to borrow. In the case of consumers, it could reduce borrowing for consumption, while in the case of firms it could reduce borrowing for investment, i.e. spending on capital, such as that on buildings and machinery. The reduced appetite for borrowing may also be mirrored by a tightening of credit conditions by financial institutions if they perceive lending to be riskier or want to increase their own financial capacity to absorb future shocks.

Chart 2 shows consumer confidence alongside the annual rate of growth of consumer credit (net of repayments) to individuals by banks and building societies. Consumer credit is borrowing by individuals to finance current expenditure on goods and services and it comprises borrowing through credit cards, overdraft facilities and other loans and advances, for example those financing the purchase of cars or other large ticket items. (Click here to download a PowerPoint copy of the chart.)

The chart allows us to view the confidence-borrowing relationship for the past 25 years or so. It suggests a fairly close association between consumer confidence and consumer credit growth. Whether changes in confidence occur ahead of changes in borrowing is debatable. However, the easing of confidence following the outcome of the EU referendum vote in June 2016 does appear to have led subsequently to an easing in the annual growth of consumer credit. From its peak of 10.9 per cent in the autumn of 2016, the annual growth rate of consumer credit dropped to 5.6 per cent in May 2019.

The easing of credit growth helps put something of a brake on consumer spending. It is, however, unlikely to affect all categories of spending equally. Indeed, the ONS figures for May on retail sales shows a mixed picture for the retail sector. Across the sector as a whole, the 3 month-on-3 month growth rate for the volume of purchases stood at 1.6 per cent, having fallen as low as 0.1 percent in December of last year. However, the 3 month-on-3 month growth rate for spending volumes in department stores, which might be especially vulnerable to a slowdown in credit, fell for the ninth consecutive month.

Going forward, the falls in confidence might be expected to lead to further efforts by the household sector, as well as by businesses, to ensure their financial resilience. The vulnerability of households, despite the slowdown in credit growth, so soon after the financial crisis poses a risk for a hard landing for the sector. After falls in national output in March and April, the next monthly GDP figures to be released on 10 July will be eagerly anticipated.

Articles

Questions

  1. Which of the following statements is likely to be more accurate: (a) Confidence drives economic activity or (b) Economic activity drives confidence?
  2. Explain the difference between confidence as a source of economic volatility as compared to an amplifier of volatility?
  3. Discuss the links between confidence, economic uncertainty and financial resilience.
  4. Discuss the ways in which people and businesses could improve their financial resilience to adverse shocks.
  5. What are the potential dangers to the economy of various sectors being financially distressed or exposed?

The Bank of England’s Money and Credit release on 1 Feb provides us with data up to the end of 2015 on lending by banks and building societies to the rest of the UK private sector. In this post we update our blog of 17 December 2015 – is Minsky right yet again? – to analyse the latest data on lending. The headline numbers show that the flow of lending (net of repayments) by banks and building societies to UK households in 2015 was £40.8 billion up from £29.9 billion in 2014 taking their amount of outstanding lending to households to £1.26 trillion. Was American economist Minsky (1919-1996) right to have argued that cycles in credit are inevitable?

Chart 1 shows the stocks of debt acquired by both households and private non-financial corporations from MFIs (Monetary Financial Institutions), i.e. deposit-taking institutions. The scale of debt accumulation in the late 1980s and again from the mid 1990s up to the financial crisis of the late 2000s is stark. At the start of 1980 the UK household sector had debts to MFIs of around £53 billion. By the start of 2009 this had hit £1.29 trillion. To put these figures into context this corresponds to an increase in indebtedness to MFIs from 25 per cent of GDP to 86 per cent of GDP.

The chart also shows the increase in indebtedness of private non-financial corporations which are effectively every day businesses. They saw their debts to MFIs rise from around £25 billion to over £500 billion which is equivalent to an increase from 12 per cent of GDP to 33 per cent of GDP. (Click here to download a PowerPoint of Chart 1.)

The path of debt at the start of the 2010s is consistent with a story of consolidation. Although the term is readily used in the context of the public sector and measures to reduce public-sector deficits the term is also relevant for the private sector. Financially-distressed households, private non-financial corporations and MFIs took steps to repair their balance sheets following the financial crisis. Indeed the term is synonymous with the idea of a balance sheet recession which some economists argue describe the late 2000s. The result was that the demand for and supply of additional credit waned. Debt accumulation largely ceased and, as we can see from Chart 1, debt numbers fell.

More recently the indebtedness to MFIs of households has started to edge up again, though, as yet, not for private non-financial corporations. From the end of the first quarter of 2013 to the end of 2015 household indebtedness to MFIs has increased by 7 per cent to £1.26 trillion.

Chart 2 focuses on flows rather than stocks. (Click here to download a PowerPoint of Chart 2.) It allows us to see the accumulation of new credit (i.e. less repayments of debt). What is even more apparent from this chart is the evidence of cycles in credit. The growth in new credit during the 2000s is stark as is the subsequent squeeze on credit that followed. Across 2006 net flows of credit from MFIs to households reached £106 billion while the peak for PNFCs was across 2007 when they reached £71 billion. Subsequently, net credit numbers crashed with negative numbers for PNFCs indicating net repayments to MFIs.

The size of the credit flows emanating from MFIs and the magnitude of the resulting credit cycles is even more stark when presented as percentages of GDP. The annual flow of credit to households in the late 1980s reached 9.4 per cent of GDP while that to PNFCs peaked at the end of the decade at 5.2 per cent of GDP. Meanwhile, across 2006 net credit to households reached 7.5 per cent of GDP while the peak of lending to PNFCs was in the 12-month period to the end of 2007 Q1 equivalent to 4.8 per cent of GDP. In 2015, credit from MFIs to households reached 2.2 per cent of GDP while that to PNFCs was a mere 0.2 per cent of GDP.

Of course, the key question now is the path of credit. Clearly flows of credit to households are again on the rise. In part, this is driven by the rebound in the UK housing market. But, significantly there has been a significant rise in flows of consumer credit, i.e. unsecured debt.

Chart 3 shows the flows of consumer credit to individuals (excluding student loans involving the Student Loans Company) from MFIs and other credit providers. Again, we see the marked evidence of cycles. Across 2015 these net consumer credit flows amounted to £14.5 billion, the highest annual figure since 2005. (Click here to download a PowerPoint of the chart.)

To put the current rise in consumer credit into context, the net flow of consumer credit to individuals as percentage of GDP across 2015 as a whole amounts to about 0.8 per cent of GDP. This is the highest figure since the second half of 2006. While it might be a little early to say that credit numbers are a cause for concern, they do need to be seen in the context of a still relatively highly indebted household sector. Policymakers will be keeping a keen eye on credit patterns and assessing whether we have again acquired a real appetite for credit.

Articles

Households put another £4.4 billion on credit cards and personal loans in December as debt rises at fastest pace in a decade ThisisMoney.co.uk, Rachel Rickard Straus (1/2/16)
One in four ‘living for the day’ as 700,000 more expected to default on debt Independent, Simon Read (2/1/16)
Surprise mortgage jump confounds expectations Independent, Russell Lynch (1/2/16)
U.K. consumer credit slows; mortgage approvals up MarketWatch, Jon Sindreu (1/2/16)
Family debt continues to rise – report BBC News (13/1/16)

Data

Bankstats (Monetary and Financial Statistics) – Latest Tables Bank of England
Statistical Interactive Database Bank of England

Questions

  1. How can the financial system affect the economy’s business cycle?
  2. What does it mean if households or firms are financially distressed? What responses might they take to this distress and what might the economic consequences be?
  3. How would you measure the net worth (or wealth) of an individual or a firm? What factors might affect their net worth?
  4. How might uncertainty affect spending and saving by households and businesses?
  5. What does it mean if bank lending is pro-cyclical?
  6. Why might lending be pro-cyclical?
  7. Are there measures that policymakers can take to reduce the likelihood that flows of credit become too excessive?
  8. What do you understand by a consolidation by the private sector? Discuss the possible macroeconomic effects of such a consolidation.
  9. What is meant by a balance sheet recession?
  10. How might the effect of attempts by a large number of individuals to improve their financial well-being differ from those when only a small numbers of individuals do so?

To what extent does history repeat itself? Minsky’s Financial Instability Hypothesis infers that credit cycles are fairly inevitable. We have seem them in the past and we will see them in the future. Human beings are subject to emotion, to irrational exuberance and to a large dose of forgetfulness! To what extent do the latest UK credit numbers suggest that we might be embarking on another credit binge? Are the credit data consistent with evidence of another credit cycle?

Chart 1 shows the stocks of debt acquired by households and private non-financial corporations from MFIs (Monetary Financial Institutions). The scale of debt accumulation in the late 1980s and again from the mid 1990s up to the financial crisis of the late 2000s is stark. At the start of 1985 the UK household sector had debts to MFIs of around £140 billion. By the start of 2009 this had hit £1.29 trillion. Meanwhile, private non-financial corporations saw their debts to MFIs rise from around £45 billion to over £500 billion. (Click here to download a PowerPoint of the chart.)

The path of debt at the start of the 2010s is consistent with a story of consolidation. Financially-distressed households, private non-financial corporations and, of course, MFIs themselves meant that corrective action was needed to repair their balance sheets. The demand for and supply of additional credit waned. Debt accumulation largely ceased and, in fact, debt numbers fell. This trend continues today for private non-financial corporations. But, for households debt accumulation resumed in the middle of 2013. At the end of the third quarter of 2015 the household sector had debt obligations to MFIs of £1.246 trillion.

Chart 2 focuses on flows rather stocks. It allows us to see the accumulation of new credit (i.e. less repayments of debt). What is even more apparent from this chart is the evidence of cycles in credit. The growth in new credit during the 2000s is stark as is the subsequent squeeze on credit that followed.

The question that follows is what path are we now on? Clearly flows of credit to households are again on the rise. In part, this is driven by the rebound in the UK housing market. But, in fact there is a more rapid increase in consumer credit, i.e. unsecured debt. (Click here to download a PowerPoint of the chart.)

Chart 3 shows the flows of consumer credit from MFIs and other credit providers. Again, we see the marked evidence of cycles. In the year to the end of Q1 of 2015 net consumer credit flows amounted to £22.8 billion, the highest figure since the 12-month period up to the end of Q3 of 2005. Click here to download a PowerPoint of the chart.)

While it might be a little early to say that another Minsky cycle is well under way, policymakers will be keeping a keen eye on credit patterns. Is history repeating itself?

Articles

Average UK mortgage debt rises to £85,000 The Guardian, Phillip Inman (15/12/15)
Consumer spending rise troubles Bank of England The Guardian, Heather Stewart (24/11/15)
Recovery ‘too reliant on consumer debt’ as BCC downgrades forecast The Guardian, Heather Stewart (9/12/15)
BCC: UK Growth Too Reliant On Consumer Debt Sky News (9/12/15)
Interest rates will stay low for longer – but household debt is a worry, says BoE The Telegraph, Szu Ping Chan (24/11/15)
IMF: UK’s economic performance ‘very strong’, but risks remain BBC News (11/12/15)

Data

Bankstats (Monetary and Financial Statistics) – Latest Tables Bank of England
Statistical Interactive Database Bank of England

Questions

  1. How can the financial system affect the economy’s business cycle?
  2. What does it mean if households or firms are financially distressed? What responses might they take to this distress and what might the economic consequences be?
  3. How would you measure the net worth (or wealth) of an individual or a firm? What factors might affect their net worth?
  4. How might uncertainty affect spending and saving by households and businesses?
  5. What does it mean if bank lending is pro-cyclical?
  6. Why might lending be pro-cyclical?
  7. Are there measures that policymakers can take to reduce the likelihood that flows of credit become too excessive?