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Financial Intermediation

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Title: Financial Intermediation


1
Financial Intermediation
  • Lecture 4
  • Bank Behavior Theory and Competition

2
Up to now
  • We discussed (the history of) financial systems,
    corporate governance, and the nature of financial
    intermediation
  • In this lecture we discuss basic banking models
    what does a bank do?
  • We do so under various assumptions monopoly
    power and regulation

3
Are Banks Special?
  • Banks deal with private contracts and securities
  • Banks assets and liabilities differ in nature
  • Banks fulfill a role in the payments system
  • Banks are money creating institutions
  • Banks are faced with systematic risk (bank runs
    and bank panics)

4
Why do banks exist?
  • In an Arrow-Debreu economy we have no banks, FIs
    or money (as such)
  • We need some kind of imperfections to be able to
    explain the existence of banks and/or money see
    the previous lecture for the Diamond delegated
    monitoring model
  • What kind of imperfections? Information problems,
    missing markets, price stickiness (the latter not
    so handy in banking models!), or a lack of
    competition

5
This lecture
  • Simple banking models (1) perfect competition,
    (2) monopolistic bank (the Klein-Monti model, (3)
    Cournot, (4) spatial competition (Salop)
  • Next we discuss one of the core ideas of banking,
    fractional reserve banking, in more detail

6
A model of perfect competition in the banking
sector
  • We have N different banks 1,, N.
  • A bank has a cost function C(D,L) D deposits,
    L loans. The function is convex and twice
    differentiable. In most cases we assume a
    uniform cost function C(D,L)
  • The assets are R reserves, L loans. Deposits
    D are the single liabilities
  • R CR M, CR a D reserves at the central bank
    (no interest), M money market reserves

7
Banks as price takers (1)
  • The loan rate rL, the deposit rate rD and the
    money market interest rate r are given
  • A bank maximizes ? rLL rM rDD - C(D,L)
  • M (1 - a) D - L, so ?(D,L) (rL - r)L
    (r (1 - a) - rD) D - C(D,L). We
    optimize L and D
  • FOC1 (rL - r) CL(D,L)
  • FOC2 (r(1 - a) - rD) CD(D,L)
  • So with cL CL(D,L) and cD CD(D,L) we get
    rL r cL and rD (1-a)r cD

8
Banks as price takers (2)
  • So an increase in rD will decrease the banks
    activity in deposits. An increase in rL will
    increase the supply of loans.
  • The cross-effects (important) depend on CDL(D,L).
    If CDL gt 0 an increase in rL will decrease D
  • Economies of scope CLD lt 0 an increase in L
    decreases the marginal costs of deposits for
    CLD gt 0 we have diseconomies of scope

9
A monopolistic bank the Klein-Monti model
  • Downward-sloping demand for loans L(rL)
  • Upward sloping demand for deposits D(rD)
  • We will use the inverse functions rL(L) and rD(D)
  • Max ?(L,D) rL(L)L rM - rD(D)D - C(D,L) There
    is e.g. an impact of L on rL
  • M (1 - a) D - L, so
    ?(L,D) (rL(L) - r)L (r(1-a)
    - rD(D))D - C(D,L)

10
Klein-Monti (2)
  • Assume the profit function is concave
  • FOC1 rL(L)L rL r - CL(D,L)0
  • FOC2 -rD(D)D r(1 - a) rD - CD(D,L)0
  • Define the following elasticities
    eL -rLL(rL) / L(rL) gt 0 and
    eD rDD(rD) / D(rD) gt 0

11
Klein-Monti (3)
  • We get a famous result a monopolistic bank will
    set its volume of loans and deposits such that
    Lerner indices equal inverse elasticities
  • rL - (r CL) / rL 1/eL(rL)
  • r(1 - a) CD - rD / rD 1/eD(rD)

12
Cournot competition
  • Finite number of competing banks N
  • The first-order conditions change into (no
    proof)
  • rL - (r CL) / rL 1/N eL(rL)
  • r (1-a) CD - rD / rD 1/N eD(rD)
  • For N 1 we get the Klein-Monti and for N
    infinite we get perfect competition!

13
Double Bertrand competition
  • Banks compete using interest rates.
  • Bertrand competition prices are central, but
    with two banks we get perfect competition
  • Idea banks compete on the markets for output
    (loans) and inputs (deposits)
  • Assume constant marginal costs (normalized to
    zero)
  • L(rL) demand for loans, D(rD) supply of deposits

14
Double Bertrand competition (2)
  • Reserve requirements ignored
  • Walrasian equilibrium rL rD rt, where rt is
    simply the solution of L(r) D(r)
  • Suppose now that banks first compete for deposits
    and next to that operate on the loans market.
    Offering a slightly higher rD rt e creates a
    monopoly on the loans market

15
Double Bertrand competition (3)
  • With two banks and a relatively high loan demand
    elasticity we get (see Stahl, 1988)
  • Only one bank is active.The interest margin is
    positive rL gt rD. Both banks have zero profit
    though. The active bank has idle reserves
  • The loan rate rL is the one that maximizes
    (1 rL) L(rL).
  • The deposit rate is determined by
    (1 rD)D(rD) (1 rL) L(rL)
  • There is excess supply of deposits L(rL) lt D(rD)

16
The Salop model (1)
  • The Salop model is a model of spatial
    competition banks all are on a unit circle
  • Depositors have to get to the bank to get a
    high(er) return
  • It is a model of monopolistic competition
    product differentiation is generated by
    transportation costs
  • Is free banking optimal?

17
The Salop Circle
Bank (i1)
1/n - xi
Depositor
xi
Bank i
18
The Salop model (2)
  • n banks 1,.,n located on the circle of length 1
  • Banks get deposits and invest in a riskless
    technology with r return. Depositors cannot
    invest in this technology
  • Depositor deposit in a bank at a cost ax,
    proportional to x, the distance between depositor
    and the bank.
  • There is a D mass of depositors

19
The Salop model (3)
  • Depositors are uniformly distributed
  • With n banks the maximal distance is 1/2n
  • Sum of all depositors transportation costs is 2n
    ?0½n ax D dx aD/4n
  • A setup cost of a bank is F
  • The optimal number of banks minimizes nF
    aD/4n, which is n ½?aD/F

20
The Salop model (4)
  • Free entry n banks settle on the circle and set
    deposit rate ri. How much deposits are in each
    bank?
  • See the Salop circle the marginal depositor,
    indifferent to going to bank i or i 1
  • ri axi ri1- a (1/n - xi). Remember that the
    distance between banks is 1/n
  • So xi 1/2n (ri - ri1)/2a

21
The Salop model (5)
  • Now we integrate over the distance to get the
    total amount of deposits per bank
  • Di D 1/n (2ri - ri-1 - ri1)/2a
  • Profit bank i D(r - ri) 1/n (2ri - ri-1 -
    ri1)/2a
  • Equilibrium if for all i ri maximizes profits
  • r ri a/n (2ri - ri1 - ri-1)/2
  • This leads to r1 rn r - a/n. So profits
    are all aD/n2. With costs F this leads to n
    ?aD/F
  • So free competition leads to too many banks
    there is scope for public intervention

22
Competition on markets macro tests
  • Structure-Conduct-Performance paradigm market
    structure influences performance of banks (more
    concentrated markets facilitate collusive
    agreements, increase market power and so
    profitability)
  • Relative-Efficiency hypothesis efficient firms
    earn relatively high profits and thus increase
    market share concentration of profitable firms

23
Competition on markets Panzar-Rosse test
  • Panzar-Rosse formulate a revenue function per
    bank (firm) as function of input prices. The
    Panzar-Rosse H is the sum of elasticities of
    gross revenue with respect to input prices
  • If H gt 0 any form of imperfect competition is
    rejected

24
Competition test Bresnahan-Lau
  • Conjectural variation method estimate the banks
    anticipated response of its rivals to an output
    change
  • Let qi the output of bank i and Q the aggregate
    output.
  • The conjectural variation elasticity
    ki dQ/Q / dqi/qi
  • ki 0 for perfect competition, perfect collusion
    ki 1. 0 lt ki lt 1 for oligopoly

25
Regulation in a model of Fractional Reserve
Banking
  • Evolution of worthless monies. Use gold to
    (partially) back tradable receipts and use the
    other funds to supply (more profitable) loans.
  • Deposits can be seen as the pool of liquidity
  • Loans are illiquid and lead to possible
    instability of the fractional reserve system
  • This demands regulation deposit insurance

26
A model
  • A depositor earns y, consumes c and saves s
    y-c, which are safer at the FI. ? is the fee that
    the FI charges. Some of the depositors (?)
    deposit for one period, and so get s - ? back.
    The implicit (negative) interest rate is -?/s
    (officially (s - ? - s)/s), the
    other (1 - ?) hold the deposit for two periods
    (see hereafter)
  • There are n depositors in total there is no
    discount rate

27
A model (2)
  • The sequence of events t 0, n depositors
    deposit s each. The bank invests in loans M to
    merchants, which pay back at t 2 at a rate r
  • At t 1 the bank pays out ?n (s - ?) in the
    aggregate
  • At t 2 bank pays out (1 - ?) n (s - ?)
  • A merchant (1) needs M gt s, (2) earns
    K gt M(1 r), but is unreliable in paying
    back and needs to be monitored at cost b. For a
    moment we assume that the earnings K is certain

28
A model (3)
  • A merchant can approach individual depositors (we
    assume he needs more than 1, since M/s gt 1).
    Depositors will charge the monitoring costs, so
    profits are K - (1r) M - bM/s (the merchant
    approaches M/s depositors directly)
  • A merchant can go to the bank and can earn
    K - (1r) M - b. This is more profitable, since
    M/s gt 1. This is the Diamond delegated monitoring
    result

29
A model (4)
  • The bank needs to be sure that it can pay back
    early withdrawals. Merchants pay their
    obligations only at t 2
  • Suppose there are m merchants. ns is the size of
    total deposits, mM is the total loan size, we
    assume that ns gt mM
  • ns - mM must be guarded (mM is with the
    merchants!) at a rate ?/s mM must be monitored
    at a cost b
  • The bank promises to depositors
    ns - (ns - mM) ?/s

30
A model (5)
  • The bank repays depositors ns - (ns - mM)?/s,
    which is higher than without lending, since
    lending is profitable
  • Early withdrawal requires an amount of
    ?ns - (ns - mM)?/s (label this term A), so
    the bank needs to determine m such that it has
    enough funds
  • Funds available at t 1 are ns-mM (available
    funds) - (ns - mM)?/s (security funds) - mb
    (monitoring costs) (label this B). So determine m
    such that A B

31
A model (6)
  • ?ns-(ns-mM)?/s ns-mM-(ns-mM)?/s-mb
  • So m (1-?) ns (s - ?) /M s-(1-?)? bs
  • If the bank has precisely this amount of
    borrowers it will not be a risk that withdrawals
    at t 1 get too big

32
A model (7)
  • Banking business charge monitoring costs to
    borrowers, charge safeguarding costs to
    depositors and keep profits rmM for yourself
  • The deposit rate ns - (ns - mM)?/s exceeds the
    deposit rate where the assets were idle -?/s ,
    but is still negative
  • Suppose that the depositors are also owners of
    the bank, the get a return rmM/ns. If this return
    is high enough, there is a positive deposit rate

33
A model (8)
  • Now the depositor gets
    ns - (ns - mM) ?/s mMr / ns, which
    equalsmMr - (ns - mM) ?/s / ns
  • If r is high enough we get a positive interest
    rate on deposits
  • So banks help in solving the social moral hazard
    model of theft and they are efficient in lending

34
A model (9)
  • Problem in this model is the sure K. If K is
    unsure and liquidation values of merchants are
    low, there is a large probability of early
    withdrawal.
  • Solutions? (1) narrow banking hold as many
    reserves as deposits, or (2) deposit insurance.
  • But deposit insurance leads to risk taking by
    banks (moral hazard)

35
Background literature
  • Greenbaum Thakor, Contemporary Financial
    Intermediation, Chapter 3
  • Freixas Rochet, Microeconomics of Banking,
    Chapter 3
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