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Oliver Burrows Financial Stability, Bank of England Discussion for session 4 24 February 2014 ESRC Conference on Diversity in Macro.

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Presentation on theme: "Oliver Burrows Financial Stability, Bank of England Discussion for session 4 24 February 2014 ESRC Conference on Diversity in Macro."— Presentation transcript:

1 Oliver Burrows Financial Stability, Bank of England Discussion for session 4 24 February 2014 ESRC Conference on Diversity in Macro

2 Credit by type: purchasing existing assets vs financing activity UK-resident banks’ sterling lending to UK residents, % of GDP

3 Credit by type: purchasing existing assets vs financing activity UK-resident banks’ sterling lending to UK residents, % of GDP

4 The UK financial system (stripped down)

5 The UK financial system, with cross-border inter- bank connections

6 The UK financial system, with cross-border inter- bank connections and derivatives

7 As a per cent of GDP in 1978

8 As a per cent of GDP in 2012

9 Growth of savings vs asset price inflation: insurance companies and pension funds

10 MPC/FPC awayday on credit System-wide network effects / liquidity risk Monetary circuits

11 MPC/FPC awayday on credit System-wide network effects / liquidity risk Monetary circuits

12 MPC/FPC awayday on credit System-wide network effects / liquidity risk Monetary circuits

13 MPC/FPC awayday on credit System-wide network effects / liquidity risk Monetary circuits

14 If demand for household and PNFC deposits grows in line with income, then lending can be accommodated out of deposit growth… MPC/FPC awayday on credit System-wide network effects / liquidity risk Monetary circuits

15 If demand for household and PNFC deposits grows in line with income, then lending can be accommodated out of deposit growth…...but if it grows faster, the financial network can become larger and more fragile MPC/FPC awayday on credit System-wide network effects / liquidity risk

16 The balance sheets (maroon is cash, blue is debt, orange is loans, green is equity, purple is contingent claims and red is other)

17 Leverage

18 Maturity Transformation

19 Network risks: concentration

20 The UK financial system (stripped down)

21 END

22 Side issue 1: the size of the UK banking system UK-resident bank assets are large by international comparison......in part because of the UK’s role as a financial sector.......which means there are lots of foreign-owned banks in the UK......and that UK-owned banks’ global balance sheets are large. Banking sectors by residency Sources: BIS, national central banks

23 Side issue 1: the size of the UK banking system UK-resident bank assets are large by international comparison......in part because of the UK’s role as a financial sector.......which means there are lots of foreign-owned banks in the UK......and that UK-owned banks’ global balance sheets are large. London’s share of selected global markets Sources: BIS, national central banks

24 Side issue 1: the size of the UK banking system UK-resident bank assets are large by international comparison......in part because of the UK’s role as a financial sector.......which means there are lots of foreign-owned banks in the UK......and that UK-owned banks’ global balance sheets are large. Resident banks by ownership Sources: BIS, national central banks

25 Side issue 1: the size of the UK banking system UK-resident bank assets are large by international comparison......in part because of the UK’s role as a financial sector.......which means there are lots of foreign-owned banks in the UK......and that UK-owned banks’ global balance sheets are large. Global balance sheets by country of ownership Sources: BIS, national central banks

26 The UK financial system, with cross-border inter- bank connections

27 UK-resident banks’ derivatives-book breakdown 27

28 UK-resident banks’ derivatives-book breakdown 28

29 UK-resident banks’ derivatives-book breakdown 29

30 Bank A Corporate Hedging example Tailored IR + FX hedge

31 Bank A Corporate Bank B FX risk Tailored IR + FX hedge IR risk Hedging example

32 Bank A Corporate Bank B FX risk IR risk +10 Hedging example Tailored IR + FX hedge

33 Bank A Corporate Bank B FX risk IR risk +10 Bank C IR risk FX risk Hedging example Tailored IR + FX hedge

34 Bank A Corporate Bank B FX risk IR risk +20 +15 Bank C IR risk FX risk +5 Hedging example Tailored IR + FX hedge

35 Bank A Corporate Bank B FX risk IR risk +20 +15 Bank C IR risk FX risk +5 Hedging example Tailored IR + FX hedge

36 Bank A Corporate Bank B FX risk IR risk +20 +15 Bank C IR risk FX risk +5 = Hedging example Tailored IR + FX hedge

37 Bank A Corporate Bank B FX risk IR risk +20 +15 Bank C IR risk FX risk +5 = Gross MV = 6020 Hedging example Tailored IR + FX hedge

38 The UK financial system base case

39 As a per cent of GDP in 2012

40 As a per cent of GDP in 1959

41 As a per cent of GDP in 1978

42 As a per cent of GDP in 2012

43 Flow of funds Access to payment systemsMitigate risksProvision of credit

44 The balance sheets (maroon is cash, blue is debt, orange is loans, green is equity, purple is contingent claims and red is other)

45 Risk metrics

46 Leverage

47 Maturity Transformation

48 Network risks: concentration

49 Network risks: interconnections ?

50 ? Chart 1: Stylised map of UK-resident banks’ £3.1 trillion repo market activity as of end-2011 From Paul Baverstock’s note on Mapping UK- resident banks’ repo activity Chart 8: Contagious links (orange arrows) and exposed banks (red dots) From Tomo Ota’s note on Mapping the UK interbank system – some insights from a new dataset

51 UK-resident deposit-takers 51

52 UK-resident deposit-takers 52

53 UK-resident deposit-takers 53

54 Example of further work on repo Breakdown balance sheets further by underlying collateral- type Use this to assess the impact of - increased hair-cuts - falls in asset prices (e.g. due to a snap-back in yields) on the value of sectors’ repo books and resultant collateral shortfalls (to maintain current levels of funding via repo).

55 Network risks: research agenda Gabaix (2011): The granular origins of aggregate fluctuations – heavy-tailed distributions of firm size invalidate usual assumptions on idiosyncratic shocks to firms not affecting aggregate output Acemoglu et al (2012): The network origins of aggregate fluctuations – network structure of the real economy affects aggregate output => How does the network structure of the financial system propagate real and financial shocks?

56 Disaggregate data

57 UK Private Sector 4,794,105 UK Private Sector 4,794,105 Companies 1,341,115 Companies 1,341,115 Partnerships 448,020 Partnerships 448,020 Sole Proprietors 3,004,970 Sole Proprietors 3,004,970 Large 6,390 Large 6,390 Small and Medium 1,334,725 Small and Medium 1,334,725 Private 1,334,258 Private 1,334,258 Public 467 Public 467 Private 5,705 Private 5,705 Public 685 Public 685 Bond Issuers 36 Bond Issuers 36 Non-Bond Issuers 5669 Non-Bond Issuers 5669 Bond Issuers 175 Bond Issuers 175 Non-Bond Issuers 510 Non-Bond Issuers 510 Breakdown of the UK corporate sector

58 Data issues

59 Back to today - Data quality (green=good ONS data, amber=made-up ONS data, and white=no ONS data)

60 Divisional coverage of the financial system

61 Key takeaways and questions In principle, the maps are very useful for understanding and assessing risk across the system has thrown up some interesting issues – such as differences within the PNFC sector (public/private; PE-owned; property/non-property) has been used in PE and CRE analysis – see QBs if interested is being used in work on cumulative impact of regulation But very serious data issues quality of much of the ONS data is very poor – care needed interpreting PNFC and OFI accounts in particular coverage is too narrow – work ongoing with ONS to improve and very little data on interconnections between sectors (“who-to- whom” data)


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