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Precautionary Hoarding of Liquidity and Inter-Bank Markets: Evidence from the Sub-prime Crisis

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Title: Precautionary Hoarding of Liquidity and Inter-Bank Markets: Evidence from the Sub-prime Crisis


1
Precautionary Hoarding of Liquidity and
Inter-Bank Markets Evidence from the Sub-prime
Crisis
  • Ouarda Merrouche
  • Bank of England
  • (with Viral V. Acharya, London Business School)
  • PRELIMINARY-COMMENTS WELCOME
  • 5 September 2008

FS252347
2
Importance of money markets
  • Money markets lubricate credit flows in the
    economy
  • Well-functioning inter-bank markets ensure that
    liquidity travels to the place where it is needed
    the most
  • Central Banks, through their monetary policy
    operations (reserve requirements, averaging, and
    corridors) can target interest rates
  • Conversely, a freeze in the money markets can
  • Impair or stagnate lending to the real sector
  • Force Central Banks to undertake massive
    liquidity operations, possibly undertaking credit
    risk in the process
  • This paper
  • View of money markets from the lens of
    precautionary liquidity

3
Liquidity hoarding and the freeze
  • FT 12 August 2007 Scramble for cash reflects
    fears for system
  • FT 26 March 2008 Hoarding by banks stokes fear
    over crisis
  • FT 19 May 2008 Loans to banks limited despite
    market thawing
  • It is unclear to what extent hoarding of
    liquidity reflects a genuine need to stem rising
    losses, and to what extent it reflects an
    extremely precautionary behavior driven by high
    uncertainty
  • Marco Annunziata, chief economist at
    UniCredit bank

4
Questions
  • What is the impact of precautionary liquidity
    hoardings of banks on inter-bank markets?
  • The issue of reverse causation
  • Can one establish that liquidity hoardings are
    indeed precautionary in nature?
  • Does the variability in inter-bank rates induced
    by liquidity hoardings matter?
  • What are the policy implications for Central
    Banks?

5
Setting
  • Sterling money markets
  • Overnight and 3-month secured and unsecured
  • Rates as well as volumes
  • Reserve balances of large, settlement banks
  • A good measure of daily liquidity
  • Can add collateral to get a measure of total
    liquidity
  • Payments and settlements activity
  • CHAPS
  • Bank-level distress and funding liquidity stress
  • Bank-level household and corporate lending rates,
    volumes

6
Tiered Structure of the Markets
  • 400 banks active in the UK
  • 15 direct participants in the large-value payment
    system (CHAPS) i.e. settlement banks
  • Tiered structure reflected in money market
    activities
  • Top 4 first-tier clearers intermediate liquidity
  • Horizontal flow at first-tier Vertical flow
    between second-tier and first-tier
  • Limited horizontal flow of liquidity at the
    second tier

7
Monetary Policy Framework
  • No requirement to hold reserves (voluntary) i.e.
    choice of reserves targets (limited by a ceiling)
  • 1 Month maintenance period
  • Remuneration at policy rate
  • Zero percent on average reserves above 101 of
    target. Equivalent penalty for average reserves
    below 99
  • Liquidity provided by weekly OMO (Thursdays)

8
Adjustments during the Crisis
  • September 13th-18th 2007 OMOs 25 of reserves
    target additional liquidity injected in OMO
  • September 19th 3 months actions against wider
    range of collateral
  • October 4th 2007 Widening of bands around target
    from 1 to 30 percent
  • April 21st 2008 Special Liquidity Scheme
  • May 8th 2008 Double reserves Target Ceiling

9
Results - I
  • Regime shift in aggregate bank liquidity levels
  • Reserve targets have risen (August 07, March
    08)
  • Also levels of daily and total liquidity
  • Relationship between aggregate liquidity and
    rates has ALSO undergone a structural shift
  • Pre-crisis Rise in liquidity caused rates to be
    lower
  • Traditional money-market arbitrage argument
  • Post-crisis Rise in liquidity caused rates to
    rise
  • Private benefit of liquidity above the policy
    rate
  • Effect on secured as well as unsecured rates
  • Unlikely due to counterparty risk on transactions

10
Theory of financial constraints
  • Normal times unconstrained banks
  • Reserves set primarily to meet regulatory
    requirements and to some extent settlement
    uncertainty
  • Private benefit of liquidity relatively low
  • If reserves increase, banks release them
    pushing rates down towards the policy rate
  • Crisis times banks are funding-constrained
  • Banks build up reserves for precautionary reasons
  • Other than settlement uncertainty or more
    responsively so
  • Private benefit of liquidity relatively high
  • If reserves increase, banks release them ONLY
    IF return on liquidity exceeds the private
    benefit

11
Revised arbitrage condition
  • Inter-bank rate Policy rate Liquidity premium
  • Implications
  • Should apply to secured as well as unsecured as
    liquidity premium is about opportunity costs, not
    counterparty risk
  • Liquidity premium induces an additional source of
    uncertainty in spread of inter-bank to policy
    rate
  • Unlikely due to differences in collateral
  • Contagion
  • Likely to affect ALL borrowing banks
  • Liquidity hoarding entails withdrawals elsewhere
    (other banks, households, corporations)

12
Results - II
  • Bank-level liquidity hoardings appear indeed to
    be precautionary in nature
  • Larger for banks that had
  • Greater losses
  • Larger equity price decline
  • Greater reliance on wholesale funding
  • There is evidence of contagion
  • Bank-level borrowing rates increase with
    liquidity hoardings of other banks during the
    crisis
  • Bank-level lending rates rise in response to
    individual inter-bank rate of borrowing

13
Liquidity measures
  • Total Liquidity Overnight Liquidity Intraday
    Collateral
  • Overnight Liquidity Reserves Accounts Balance
    at 5 am
  • Intraday Collateral Maximum Collateral posted
    to obtain intraday credit from central bank
  • NOTE In bank-level regressions, we employ these
    measures, scaled by subtracting mean and dividing
    by standard deviation so as to focus on abnormal
    variations

14
Total liquidity
15
Settlement bank Reserves
September 11th 2007
March 13th 2008
16
OMO Bids
17
Policy Rate
18
Bai-Perron tests
Total Liquidity
Overnight Liquidity
19
Regime shift in bank reserves
  • FT 9 April 2008 UK banks seek higher borrowing
    facilities
  • FT 10 April 2008 UK banks seek more BoE
    borrowing
  • UK banks asked to increase sharply the reserves
    they hold on deposit at the Bank this month to
    the highest ever level amid concerns that the
    instability of the banking system could suddenly
    leave them desperate for cash. They fear another
    bank crisis - akin to the collapse of US
    investment bank Bear Stearns - could see the
    market seize up.
  • Banks have asked to keep total reserves of
    23.54bn on deposit that they can borrow to meet
    short-term financing needs if they cannot borrow
    in the inter-bank market. This is up from the
    nearly 20bn they had on deposit until yesterday.
    This is money the banks keep on deposit at the
    Bank, earning interest, but that they can access
    when the cost of borrowing from other banks
    becomes too high.

20
Money market rates
  • Overnight Secured Rate Gilt Repo Rate
  • Overnight Unsecured Rate SONIA Rate
  • 3-Months Secured Gilt Repo Rate
  • 3-Months Unsecured 3-Months Libor
  • 3-Months Unsecured volume CHAPS 3-months
    volume, extracted using Furfine (1998) algorithm

21
Money market rates and volumes
Difference Post August 9th Pre August 9th
22
Spreads to policy rate
23
Liquidity and secured spread
24
Liquidity and 3-month LIBOR-OIS
25
Identification problem
  • Econometric problem
  • Liquidity responds to uncertainty and rate
    expectations
  • Rates may also rise due to uncertainty
  • Effect of liquidity on rates may thus be due to
    endogeneity or omitted variable bias, rather than
    causal
  • Solutions
  • Examine overnight GILT secured rates
  • Correct for correlated shocks through SURE
  • Apply instrumental variable approach to correct
    endogeneity biases
  • We adopt all three

26
Control Variables
  • OMO days
  • Maintenance days fixed effects
  • Adjustments to Monetary Policy Framework (1)
    widening of bands (2) higher reserves ceiling
    liquidity scheme
  • (Uncovered OMO on last week of June 2007)

27
Liquidity and rates
28
Instrument
  • Lagged level of aggregate payment and settlement
    activity (value, volume)
  • Rationale
  • High settlement activity days are accompanied by
    higher liquidity reserves
  • Buffer against greater reserves uncertainty in
    future
  • If liquidity reserves are imperfectly adjusted on
    a day to day basis, there would be residual
    effect in liquidity reserves of past settlement
    activity
  • Ultimately, an empirical question
  • Settlement activity driven by calendar-day
    effects, and thus uncorrelated over time

29
Payment and settlement activity
  • CHAPS payment activity value and volume
  • Net of overnight inter-bank loans, in logarithm
    and in bank-level regressions, scaled by
    subtracting mean and dividing by standard
    deviation
  • High value for same volume Larger transactions,
    greater risk
  • High volume for same value Smaller
    transactions, lower risk

30
CHAPS payment activity value
31
CHAPS Payment activity volume
32
Liquidity and rates (second-stage)
33
Economic significance
  • Liquidity effect
  • Pre-Crisis a 10 per cent increase in overnight
    liquidity causes a 6.6 basis points decline in
    overnight secured spread
  • During Crisis a 1.1 basis points rise in
    overnight secured spread
  • During Crisis a 24 basis points rise in 3-M
    Libor-OIS spread

34
Liquidity and payments (first-stage)
35
Payments and calendar effects
36
Precautionary nature of liquidity
  • Approach 1 Assess contribution to structural
    break in liquidity by Loss Ratio and Retail Ratio
  • Approach 2 Split sample of banks into two groups
    to allow heterogeneous reaction to aggregate
    fluctuations in payment activity
  • Higher and lower than median loss ratio to total
    assets
  • Higher and lower than median retail to inter-bank
    deposit ratio
  • Higher and lower than median bank equity price
    variation from 2006

37
Results I
38
Result II
39
Bank characteristics
  • Losses Disclosed relative to Total Assets
  • Source Bloomberg
  • Period January 2007-June 2008
  • Initial Retail over Inter-bank Deposits Ratio
  • Source Interim reports as of June 2007
  • Period Immediate Pre-Crisis Level

40
Economic significance
  • Precautionary Hoarding
  • During Crisis a 1 percent rise in value of
    payment activity is associated with a 0.26 per
    cent rise in settlement banks overnight
    liquidity buffer
  • Before Crisis no reaction
  • Banks that disclosed a loss ratio of one standard
    deviation above the mean increased their
    overnight liquidity by an additional 25 per cent
    of a standard deviation

41
Data on real-sector lending
  • Fixed and Floating Rate
  • New loans to Households and PNFC
  • Spread to policy rate
  • Growth rate of lending volume to Households and
    PNFC
  • Source Bank of England Statistics Department
    MFSD data

42
Transmission - I
43
Transmission - II
44
Economic significance
  • Transmission
  • Rates
  • During Crisis A 1 basis point increase in
    secured spread causes a 1.3 basis points increase
    in the retail floating rate
  • Before Crisis no effect
  • All times A 1 basis point increase in secured
    spread causes a 1.4 basis points increase in
    corporate loans fixed rate
  • Volumes
  • During Crisis a 1 basis point rise in secured
    spread causes a 0.146 decline in growth rate
    corporate lending
  • Before Crisis no effect

45
Conclusion
  • Evidence of precautionary liquidity hoardings
    during the crisis, with effect on inter-bank
    rates (secured, unsecured)
  • The standard money-market arbitrage requires
    adjustment
  • Why does the effect matter?
  • Contagion from liquidity-strapped banks to others
  • Transmission through rates to households,
    corporations
  • Policy implications
  • There seems at least an ex-post rationale for
    liquidity injections
  • Can serve to eliminate liquidity-induced
    volatility and contagion
  • Future work
  • Examine money-markets bilaterally (market power,
    cornering)
  • Study term-structure effects (substitution), if
    any
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