A Multi-Agent Model of Financial Stability and Credit Risk Transfers of Banks

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A Multi-Agent Model of Financial Stability and Credit Risk Transfers of Banks Presentation for Bank of Italy Workshop on ABM in Banking and Finance: Turin Feb 9-11 Sheri Markose,, Yang Dong, Bewaji Oluwasegun and COMISEF Researchers M. Gatowski,, A. Takayama and Ali Rais Shaghagi CCFEA (Centre For Computational Finance and Economic Agents) and Economics Dept. 1

MOTIVATION Systemic risk from securitization (MBS, ABS) CCFEA research started 5 years ago recognized that ABS & MBS will have systemic risk implications Anticipated crisis of subprime defaults Multi-agent model needed for: fine grained data base for agents with spatial and dynamic features; non-linear feedbacks; multi period modelling

Origins of Crisis and Why We Are Mired in it? Weapons of mass destruction (Warren Buffet): Residential Mortgage Backed Securities (RMBS) on Sub Prime Mortgages, Collateralized Mortgage/Debt Obligations (CM/DOs) and Credit Default Swaps (CDS) Little or no regulatory scrutiny Multiples of debt/leverage ( shadow banking sector est. at $62 tn vs. deposit based banking at $39 tn and M0 at $ 3.9 tn Source: Guardian 29Feb 09) with little contribution to returns from investment in the real economy (Global GDP $55 tn). Systemic Ponzi scheme collapsed, (Aug 07Bear Sterns Northern Rock Sept 08 Lehman etc), then Freddie Mac and Fanny Mae in Sept 08, severe mark downs on the market value of retail banks Interbank and short term markets for liquidity seized up resulting in the credit crunch. Liquidity trap even at low interest rates of 1% or under, a loss of investor and consumer confidence Little traction in interest rate policy, reflation by printing money, euphemistically called quantitative easing. Limited success to date of tax payer bail-out of the banking system :Why? Radical options:a toxic / Recovery bank or full nationalization of banks Massive public sector spending on capital projects to prevent a slide into another Great Depression 3

Financial Contagion Prime Market Subprime Market Borrowers Real estate Mortgage (RMBS) Whole Sale and interbank money market Short-term CP Long-term CP Stock Market; Equity Investment MBS CDOs Equity Valuation Deposit Banks Cash Asset Securitize via SPV AAA AA BBB Investment Securities LAPF Hedge Fund Insurance Originate and distribute Structuring : Investment Banks; Ratings Agencies Investment Banks 4

Figure 1.5: Increase in Subprime Delinquency 2005 to 2006 Map Source: First American LoanPerformance; Census Bureau, and Wall Street Journal Online 5

Two Sector ABM for Credit Risk Transfer A dynamic multi-period model of securitization with a A/L framework was missing (Simon Wolfe ABS model (2000) : lucid but static) Banks profit maximisation should be constrained by insolvency risk Regulations are set to mitigate the systemic risk implications: capital adequacy requirement What banks did? Securitization and credit risk transfer play a key role in enabling them to reduce their regulatory capital amount and increasing loan portfolio growth

Where it Began : Securitization of Bank Loans Regulatory Arbitrage Basel I required 8% of equity capital against bank assets ie. the loan side of the balance sheet Consider 1 bn Mortage Loans Equity Capital needed 80 million If.5 bn securitized and moved off balance sheet ie.50% of securitization Bank now needs only 40 million of Equity Capital ; further 40 million can be lent out ; securitize again and again.. MONEY PUMP 7

Sub-prime Market MBS on Loan on Real Estate:Source FDIC WASHINGTON Mutual NEW CENTURY 2001.3 0.497971656 0.255255547 2001.6 0.427332242 0.236253407 2001.9 0.393723897 0.205321179 2001.12 0.302951192 0.180109436 2002.3 0.232911549 0.17544783 2002.6 0.198129305 0.218473105 2002.9 0.170938075 0.192971619 2002.12 0.155603184 0.157524953 2003.3 0.110635337 0.130638446 2003.6 0.071946644 0.109395568 2003.9 0.076294759 0.126652608 2003.12 0.052989651 0.122883974 2004.3 0.037408302 0.112385321 2004.6 2004.9 0.038606 0.035673732 0.127830593 0.134108553 8

Was there excessive securitization? The question is how were banks able to willy nilly pass on the subprime loans? In other words what needs explaining is how so much bad stuff got passed on. The popular answer: Default risk on these loans and hence costs to the bank for securitization in coupon payments and credit enhancement were under estimated. Ratings companies helped pass off sub prime with high ratings. Basel II in 2004 requiring equity against MBS came too late 9

With linear costs note that as a higher and higher % of assets are securitized, a bank can keep improving its capital accumulation : The Money Pump model of Securitization 10

Collateralized Debt Obligation,CDO Weapon of mass destruction (Warren Buffet) Fig. 1. Tranche structure at time t 0 ; at time t 1, pool s losses (shaded in black) absorbed by Equity tranche; Mezzanine Jr., Mezzanine, Senior and Super-Senior tranches are not yet affected by pool losses. 11

Credit Default Swap Structure(CDS) and Bear Raids A LENDS to Reference Entity Default Protection from CDS Buyer, B Reference Entity A (Bond Issuer) or CDOs Premium in bps Payment in case of Default of X = 100 (1-R) Default Protection Seller, C INSURER (AIG) Recovery rate, R, is the ratio of the value of the bond issued by reference entity immediately after default to the face value of the bond B sells CDS to D Now 3 rd party D receives insurance when A defaults; B still owns A s Bonds! 12

Credit Crunch Mainly From ZERO Growth in ABS vs Troubled Assets Relief Program (TARP) 13

2008 Value of SubPrime 14

ABX: Mark to Market Value of SubPrime Losses $1.6 as ABX implies 20 cents to Dollar First American Loan Performance estimated a default rate of 15%, this would translate to $300 billion of non-collectable principal and interest. 15

Section 1: Multi-period: Dynamic Model for Securitization in Banks Definitions N banks with initial liabilities given by, where r L is the interest rate on liabilities Banks have a basic asset accumulation process such that is the survival rate on assets and r A is the return on assets Bank equity capital is given by is the minimum capital required to be held on the balance sheet in the capital account, where denotes the capital adequacy requirement ratio which is 8%

Insolvency analysis Bank is solvent Bank is solvent, capital injection required Bank is bankrupt 17

..Bank Model Securitizing (illiquid assets tradable tradable securities) Condition for capital injection/accumulation: α: : proportion of securitized assets if M > 0 capital injection is needed if M < 0 capital accumulation Asset accumulation process with securitization:, where C(α)A t denotes the

Optimal securitization ratio (minimising capital injections/ maximising capital accumulation): 19

Costs of MBS is Coupon Rate on MBS. Citibank Report 2007

Sub-prime Market MBS over Loan on Real Estate WASHINGTON NEW CENTURY 2001.3 2001.6 2001.9 2001.12 2002.3 2002.6 2002.9 2002.12 2003.3 2003.6 2003.9 2003.12 2004.3 2004.6 2004.9 0.497971656 0.427332242 0.393723897 0.302951192 0.232911549 0.198129305 0.170938075 0.155603184 0.110635337 0.071946644 0.076294759 0.052989651 0.037408302 0.038606 0.035673732 0.255255547 0.236253407 0.205321179 0.180109436 0.17544783 0.218473105 0.192971619 0.157524953 0.130638446 0.109395568 0.126652608 0.122883974 0.112385321 0.127830593 0.134108553

Sub-prime: Exploding ARM

Dynamic Model Applied to Sub-prime The Asset accumulation process: Where For the capital replenish in 5 years horizon

Capital Accumulation ra = 15% and rd = 3% (for BB-) ; ra= 11%; rd=3% (BB) ; ra= 7.5%, rd= 3% (BBB); ra = 5% rd = 3% (AA)

Insurance Model The economic problem facing LAPFs How to value their assets and liabilities when the assets are liquid and subject to market value while liabilities are not Must be able to ensure there are always sufficient cash flow from the assets to meet the promised liability payment Should be capable of delivering these pensions at the lowest economic cost to the sponsor Assumptions A liability driven discrete time model There are legal protections for fund members The optimal asset allocation problem is solving backwards (the solvency determination process is treated purely in terms of liabilities)

Section 2 :Insurance Model The basic ALM solvency analysis model Initial endowment of assets (A LAPF ) to meet liabilities: A LAPF LAPF C + k where C: and k: Initial assets can be re-expressed as: A LAPF LAPF (1 (1+ρ) C, where ρ = k/c solvency margin If actual assets > A LAPF closes Life insurance schemes The expected market of the liabilities The provision for adverse deviations provided as risk capital or equity Pension schemes The expected value of claim payments under the scheme rules The margin added to the expected value of future claim payments by the actuary in establishing the scheme sponsor s s contribution to the fund we have an initial surplus otherwise the fund is solvent and

.Insurance Model..The basic ALM solvency analysis model End of period solvency condition (traditional assets/credit assets), where : traditional assets, : credit assets, L t : liabilities, and : the cost of any particular investment strategy assuming S t =0, where Impact of solvency analysis on fund capital reserves Assuming a legal protection for scheme sponsors in the event of insolvency, an initial capital reserve K such that k K is defined by K t = (1+ r global )* max(0, K t-1 + St) r global represents the risk free rate

Market clearing Solving for x given a quadratic cost function, where is constant, the optimal demand for credit assets by LAPFs is obtained by: Market clearing condition for credit asset cash flow in the calibrated model with both banking and LAPF sectors:,if If Fire sale on Credit Asset,

Influences on the optimal asset allocation of LAPFs: The spread between returns on credit assets and traditional assets As securitization rate in the banking sector increases, returns on credit assets increase and so does demand for such assets by LAPFs More stringent regulatory pressures on LAPFs through an increase in ρ will ultimately reduce the demand for credit assets 29

LAPF Portfolio & Equity with Credit Assets Gamma=90% Asset Liability Optimal x r Credit r E Surplus Year 0 100 92 Year 1 100.596 94.76 0.3925-0.2369-0.2448-26.178 Year 2 98.9839 97.6028 0.3862 0.1439 0.1362 14.82203 Year 3 93.0362 100.5309 0 0 0.0754 8.255988 Year 4 78.6531 103.5468 0 0 0.1671-21.0867 Year 5 47.9359 106.6532 0 0 0.1045-27.8249 Gamma=93% Asset Liability Optimal x r Credit r E Surplus Year 0 100 92 Year 1 104.5692 94.76 0.6023-0.2327-0.2448-28.7152 Year 2 110.7908 97.6028 0.6381 0.1489 0.1362 15.0111 Year 3 120.1779 100.5309 0.6922 0.0892 0.0754 8.6255 Year 4 135.7018 103.5468 0.7816 0.1827 0.1671 18.6449 Year 5 163.2011 106.6532 0.94 0.1233 0.1045 12.2005 Rho=17%, ra=10%,a0=100,l0=92

Solvency Analysis For LAPFs Note: High Dutch Insurance Supervisory Board Solvency Margin (rho=30%) does not help.

Concluding Remarks Subprime lender with default rates in excess of 10% will be insolvent by year 4.5. Default on MBS resulting in insolvency of originator can result in huge loss of value. Entire portfolio of these can becomes worthless. Institutions with large portfolios up to X=38% of sub-prime credit assets ( with gamma=90% and above) will be insolvent by year 2. High Dutch Insurance Supervisory Board Solvency Margin (rho=30%) does not help. Future research to fully incorporate CDO structure Bear Raids Mark to market accounting The short money market Central Banks