franklin.marshall.econ.dept. talk 3.27.09
TRANSCRIPT
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Accounting Control Fraud Reverses Pareto Efficiency
William K. Black
Associate Professor of Economics and Law
University of Missouri – Kansas City
Franklin & Marshall College
Economics Department: March 27, 2009
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Criminologists are the Experts in Dysfunctional
MarketsFour key criminology concepts:
• Criminogenic environment
• Control fraud
• Systems capacity
• Neutralization
If it’s bad criminology, it’s bad economics. If it’s good criminology it’s good econ.
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Control Frauds as Financial Super-predators
Person (typically CEO) that controls a seemingly legitimate firm/agency uses it as a “weapon” to defraud
Causes greater $ losses than all other forms of property crime combined
Some forms maim & kill (infant formula)
Produce, extend & hyperinflate bubbles
Deceit erodes trust & closes markets
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Economics & Criminogenic Environments for Control
Frauds Criminogenic environments create
perverse incentive structures
Control fraud epidemics & bubbles
Not random; not “black swans”
Conventional economics praxis optimizes criminogenic environment
Result: recurrent, intensifying crises
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Pareto Efficiency
Ex ante: we expect voluntary exchanges to make both parties better off
Even ex post we expect learning effects to rectify mistakes
Positive sum transactions should be the norm
Very limited role for government
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Reverse Pareto Efficiency
Both parties are made worse off
Nonprime lenders & borrowers
Financial bubbles
The paradox of falling spreads
The “predatory” loan paradox
Unfaithful agents gain
Immense wealth destruction
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Akerlof: Lemon’s Markets
Every example he uses is an anti-consumer control fraud
Deception: quality/quantity
Seemingly legitimate fraudsters
Gresham’s dynamic: frauds can drive honest from the market
Partially dynamic: discusses only honest counter strategies
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Market Flaw Becomes Triumph
Akerlof never used “F” word
Literature triumphal – reputation trumps lemons & conflicts
Ignored endemic control fraud
“a rule against fraud is not an essential or even necessarily an important ingredient of securities markets” (Easterbrook & Fischel 1991)
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Signaling Diogenes
Three signals only honest can use
Hire top tier audit firm
Have CEO own stock in firm
Extreme leverage
Fischel wrote this after he knew it was false: Lincoln & Centrust
Each “signal” aids control fraud
Mimic. Suborn controls into allies.
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Economic Praxis Criminogenic
Deregulation: good
Non-enforcement: good
Bad accounting: irrelevant
Extreme leverage: good
Extreme growth: good
Conflicts of interest: good
Reliance on auditors/rating: good
Huge performance pay: good
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Optimizing accounting fraud
Invest in nominal high yields
Extreme leverage
Grow rapidly – Ponzi
Gut controls & underwriting
Suborn controls: allies
Comp. based on short-term “Y”
Hide losses; tiny loss reserves
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Produces Paradoxes
Making the worst loans, in the worst manner produces record profits during expansion (“sure thing”)
Econometric studies praise the worst control frauds’ practices
Huge losses certain
Competing for growth lowers spread while credit risk skyrockets
Bubbles delay loss recognition
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Gresham’s Dismal Dynamic
Control frauds that create competitive advantages: infant formula
Accounting control fraud doesn’t
Modern compensation has created a Gresham’s dynamic
Short-term tenures of CFOs
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Why Lenders Lose Deliberately making bad loans
Perverse incentives to loan officers
NINJA = adverse selection = fraud
No controls/underwriting exposes lender to unintended frauds
Frauds inflate appraisals
Lending increases as bubble grows
Competing for growth lowers yields
Paying excessive compensation
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Why Borrowers Lose
Buy homes near peak of bubble
Borrow at rates/amounts = default
Harm their credit ratings
Strips wealth from working class, particularly minorities
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Who Wins?
Loan officers on commission
Appraisers, auditor & rating agency
Lender’s executives
Shareholders that sell for a gain
Borrowers that engage in “equity stripping” or sell for a profit
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Fraud Causes Inefficiency
Mispriced asset values
Sends false price signals
Bubble expansion & collapse inefficient
Poor care of houses = lost value
Neighborhood effects of vacancies
Systemic risk: failures & deceit erodes trust – mkt. failures
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Praxis: The S&L Debacle“Autopsies” v. econometrics
Recognized that “optimization” created patterns: triage
Control frauds were Ponzi scheme
Hit their Achilles’ heel: growth
Dealt with “systems incapacity”
Proving fraud neutralized neutralization
Avoid criminogenic environments