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Notes on Financial Frictions Under Asymmetric Information and Costly State Verification

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Incorporating Financial Frictions into a Business Cycle Model General idea: – Standard model assumes borrowers and lenders are the same people..no conflict of interest – Financial friction models suppose borrowers and lenders are different people, with conflicting interests – Financial frictions: features of the relationship between borrowers and lenders adopted to mitigate conflict of interest.

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Discussion of Financial Frictions Simple model to illustrate the basic costly state verification (csv) model. – Original analysis of Townsend (1978), Bernanke- Gertler. Integrating the csv model into a full-blown dsge model. – Follows the lead of Bernanke, Gertler and Gilchrist (1999). – Empirical analysis of Christiano, Motto and Rostagno (2003,2009).

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Simple Model There are entrepreneurs with all different levels of wealth, N. – Entrepreneur have different levels of wealth because they experienced different idiosyncratic shocks in the past. For each value of N, there are many entrepreneurs. In what follows, we will consider the interaction between entrepreneurs with a specific amount of N with competitive banks. Later, will consider the whole population of entrepreneurs, with every possible level of N.

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Simple Model, cont’d Each entrepreneur has access to a project with rate of return, Here, is a unit mean, idiosyncratic shock experienced by the individual entrepreneur after the project has been started, The shock,, is privately observed by the entrepreneur. F is lognormal cumulative distribution function.

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Banks, Households, Entrepreneurs Households Bank entrepreneur Standard debt contract

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Entrepreneur receives a contract from a bank, which specifies a rate of interest, Z, and a loan amount, B. – If entrepreneur cannot make the interest payments, the bank pays a monitoring cost and takes everything. Total assets acquired by the entrepreneur: Entrepreneur who experiences sufficiently bad luck,, loses everything.

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Cutoff, Cutoff higher with: – higher leverage, L – higher

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Cutoff, Cutoff higher with: – higher leverage, L – higher

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Cutoff, Cutoff higher with: – higher leverage, L – higher

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Cutoff, Cutoff higher with: – higher leverage, L – higher

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Cutoff, Cutoff higher with: – higher leverage, L – higher

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Cutoff, Cutoff higher with: – higher leverage, L – higher

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Cutoff, Cutoff higher with: – higher leverage, L – higher

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Expected return to entrepreneur, over opportunity cost of funds: Expected payoff for entrepreneur opportunity cost of funds For lower values of, entrepreneur receives nothing ‘limited liability’.

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Rewriting entrepreneur’s rate of return: Entrepreneur’s return unbounded above – Risk neutral entrepreneur would always want to borrow an infinite amount (infinite leverage).

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Rewriting entrepreneur’s rate of return: Entrepreneur’s return unbounded above – Risk neutral entrepreneur would always want to borrow an infinite amount (infinite leverage).

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Rewriting entrepreneur’s rate of return: Entrepreneur’s return unbounded above – Risk neutral entrepreneur would always want to borrow an infinite amount (infinite leverage).

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Rewriting entrepreneur’s rate of return: Entrepreneur’s return unbounded above – Risk neutral entrepreneur would always want to borrow an infinite amount (infinite leverage). Gets smaller with L Larger with L

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Rewriting entrepreneur’s rate of return: Entrepreneur’s return unbounded above – Risk neutral entrepreneur would always want to borrow an infinite amount (infinite leverage).

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In our baseline parameterization, risk spread = 1.0063, return is monotonically increasing in leverage

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Baseline parameters More leverage locally reduces expected return with high risk spread. High leverage always preferred eventually linearly increasing

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If given a fixed interest rate, entrepreneur with risk neutral preferences would borrow an unbounded amount. In equilibrium, bank can’t lend an infinite amount. This is why a loan contract must specify both an interest rate, Z, and a loan amount, B. Need to represent preferences of entrepreneurs over Z and B. – Problem, possibility of local decrease in utility with more leverage makes entrepreneur indifference curves ‘strange’..

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Indifference Curves Over Z and B Problematic Utility increasing Downward-sloping indifference curves reflect local fall in net worth with rise in leverage when risk premium is high.

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Solution to Technical Problem Posed by Result in Previous Slide Think of the loan contract in terms of the loan amount (or, leverage, (N+B)/N) and the cutoff, Utility increasing

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Solution to Technical Problem Posed by Result in Previous Slide Think of the loan contract in terms of the loan amount (or, leverage, (N+B)/N) and the cutoff, Utility increasing

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Banks Source of funds from households, at fixed rate, R Bank borrows B units of currency, lends proceeds to entrepreneurs. Provides entrepreneurs with standard debt contract, (Z,B)

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Banks, cont’d Monitoring cost for bankrupt entrepreneur with Bank zero profit condition Bankruptcy cost parameter

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Banks, cont’d Monitoring cost for bankrupt entrepreneur with Bank zero profit condition Bankruptcy cost parameter

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Banks, cont’d Simplifying zero profit condition: Expressed naturally in terms of

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Banks, cont’d Simplifying zero profit condition: Expressed naturally in terms of

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Free entry of banks ensures zero profits zero profit curve represents a ‘menu’ of contracts,, that can be offered in equilibrium. Only the upward-sloped portion of the curve is relevant, because entrepreneurs would never select a high value of if a lower one was available at the same leverage.

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Free entry of banks ensures zero profits zero profit curve represents a ‘menu’ of contracts,, that can be offered in equilibrium. Only the upward-sloped portion of the curve is relevant, because entrepreneurs would never select a high value of if a lower one was available at the same leverage.

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Free entry of banks ensures zero profits zero profit curve represents a ‘menu’ of contracts,, that can be offered in equilibrium. Only the upward-sloped portion of the curve is relevant, because entrepreneurs would never select a high value of if a lower one was available at the same leverage.

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Free entry of banks ensures zero profits zero profit curve represents a ‘menu’ of contracts,, that can be offered in equilibrium. Only the upward-sloped portion of the curve is relevant, because entrepreneurs would never select a high value of if a lower one was available at the same leverage.

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Some Notation and Results Let Results:

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Moving Towards Equilibrium Contract Entrepreneurial utility:

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Moving Towards Equilibrium Contract, cn’t Bank profits:

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Equilibrium Contract Entrepreneur selects the contract is optimal, given the available menu of contracts. The solution to the entrepreneur problem is the that solves:

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Equilibrium Contracting Problem Not Globally Concave, But Has Unique Solution Characterized by First Order Condition Close up of the objective, in neighborhood of optimum. Locally concave. Non-concave part

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Equilibrium Contracting Problem Not Globally Concave, But Has Unique Solution Characterized by First Order Condition Close up of the objective, in neighborhood of optimum Non-concave part

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Computing the Equilibrium Contract Solve first order optimality condition uniquely for the cutoff, : Given the cutoff, solve for leverage: Given leverage and cutoff, solve for risk spread:

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Result Leverage, L, and entrepreneurial rate of interest, Z, not a function of net worth, N. Quantity of loans proportional to net worth: To compute L, Z/(1+R), must make assumptions about F and parameters.

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The Distribution, F

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Results for log-normal Need: Can get these from the pdf and the cdf of the standard normal distribution. These are available in most computational software, like MATLAB. Also, they have simple analytic representations.

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Results for log-normal Need: cdf for standard normal

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Results for log-normal Need: cdf for standard normal

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Results for log-normal Need: cdf for standard normal

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Results for log-normal Need: cdf for standard normal

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Results for log-normal Need: cdf for standard normal

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Results for log-normal, cnt’d The log-normal cumulative density: Differentiating (using Leibniz’s rule):

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‘Test’ of the Model Obtain the following for each firm from a micro dataset: Using definition of F, risk spread, first order condition associated with optimal contract and zero profit condition of banks, can compute: Test the model: do the results look sensible?

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Levin, Natalucci, Zakrajsek, ‘The Magnitude and Cyclical Behavior of Financial Market Frictions’, Finance and Economics Discussion Series, Federal Reserve Board, 2004-70.

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A jump in spreads occurred here, interpreted by the model as a jump (in part) of bankruptcy costs.

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Changes in idiosyncratic volatility not very important

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High values consistent with high bankruptcy costs.

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Effect of Increase in Risk, Keep But, double standard deviation of Normal underlying F. Doubled standard deviation Increasing standard deviation raises density in the tails.

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Risk spread= 2.67 Leverage = 1.12 Risk spread=2.52 Leverage = 1.13 Risk spread =, Leverage = (B+N)/N Entrepreneur Indifference curve Zero profit curve

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Issues With the Model Strictly speaking, applies only to ‘mom and pop grocery stores’: entities run by entrepreneurs who are bank dependent for outside finance. – Not clear how to apply this to actual firms with access to equity markets. Assume no long-run connections with banks. Entrepreneurial returns independent of scale. Overly simple representation of entrepreneurial utility function. Ignores alternative sources of risk spread (risk aversion, liquidity) Seems not to allow for bankruptcies in banks.

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Incorporating BGG Financial Friction into Neoclassical Model

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Model with Financial Frictions Firms household Entrepreneurs Labor market Capital Producers L C I K

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Model with Financial Frictions Firms household Entrepreneurs Labor market banks Capital Producers Loans K’

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Equations of the Model Aggregate resource constraint: Households: Capital producers:

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Equations, ctn’d Entrepreneurs: – First order condition associated with optimization problem. – Zero profit condition of banks. – Law of motion of aggregate net worth.

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Conclusion We’ve reviewed one interesting model of financial frictions. Needs a lot more work!

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