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Preface

 

In this book I investigate the impact of an adversarial, exploitative, and predatory business environment on the survivability of sound but funding-limited small firms. My emphasis is on bank-induced risks. My analysis makes use of an expert system with Monte Carlo simulation capabilities.1 I use two kinds of input evidences: firm-related (e.g., the firm is sound, funding-limited, unable to secure funding on short notice, etc.) and environment-related (e.g., financial and commercial powers are concentrated in a few banks, loans are misdirected, judicial procedures favor Big Banks over small business owners, etc.). And I calculate the subjective probabilities of three possible conclusions as a function of the strength of the evidences:

  1. The bank suddenly freezes, reduces, or calls the firm's loan.
  2. The firm is destabilized.
  3. The firm is destroyed or cannibalized by economic predators.

I use Monte Carlo simulation for three reasons:

  1. Subjectivity. The truth of all evidences (e.g., the truth of the proposition "loans are misdirected at banks") cannot be certified absolutely. However, a subjective range of probabilities for evidences can be corroborated from empirical data. For example, there is substantial corroborative evidence of past speculative overinvestments by financial institutions in commercial real estatein the United States, in Canada, in Germany, in Japan, etc. The oversupply of commercial buildings in the United States and Canada over the 1980s and the link between the resulting "glut" and the recession in 1990 has received wide coverage.2 Overinvestments have resulted in a "credit crunch" at many banks and in a general credit slowdown.3 The occurrence of the credit crunch is easily substantiated with historical data from annual reports of banks and trust companies. Past bank debt exposure has included syndicated loans to Less Developed Countries, leveraged buyouts, and loans to the energy sector.4 Credit exposure has also included exposure from derivatives. The potential for catastrophic market risks from sudden declines (unexpected or expected) in equity prices cannot be ignored. But money is not the only concern. There is considerable empirical data indicating that the judicial systems in the United States, Canada, and England have been manipulated to give, apparently, not slight, but substantial "net advantages" to Big Business and Big Government over citizens and small business owners.5-12

Judicial Bias. The empirical evidence from U.S. and Canadian courts corroborates substantial judicial biases.

In a study of the performance of U.S. State Supreme Courts, covering the period 1870-1970, Stanton Wheeler et al., found as follows: the "net advantage" of Government (City and State) was +11.8%, and that of Business Organizations was +3.1% (larger businesses include railroads, banks, manufacturers, and insurance companies); by contrast, the "net advantage" of Business Proprietors was -5.4%, and that of Individuals was -1.5%.6 The "net advantage" of Business Organizations over Business Proprietors was +16.3%.7 As percent difference, the success of "Haves" over "Have Nots" was 9.3%. The success rate of Landlords over Tenants was 19.2%, and that of Creditors over Debtors was 9.4%.8

In a study of Canadian Provincial Appeal Court Decisions, covering 1920-1990, Peter McCormick found as follows: the "net advantage" of Big Business (banks, insurance companies, and major corporations) was +21.1%; by contrast, the "net advantage" of Other Businesses (including small and medium enterprises) was -4.8%, and that of Individuals was -7.2%.9

According to McCormick, "[t]he reported decisions of the Supreme Court of Canada since 1949, and of the provincial courts of appeal over an even longer period, show patterns of advantage so strong and so internally consistent that we can statistically 'predict' the probability of appellate success from a knowledge of the relative status of the two parties" [my emphasis].10

  1. Uncertainty. Scientists have known for a long time that correlation is no proof of causality. In politics and economics, the relationships between "causes" and "effects" are often indirect, concealed, dissimulated, or veiled. Whose policies should we blame for the vicissitudes of the Business Cycle? Central banker policies for increasing the money stock? Banker policies for favoring highly collateralized commercial real estate loans? Or borrower policies for engaging in speculative investments?

Overinvestments at Banks and the National Economy.13   Many banks increased substantially their commercial real estate loan portfolio during 1986-1991. Canada's largest bank, for example, increased its domestic commercial real estate loans from $1,781 million in 1985 to $7,098 million in 199114or, as a percentage of the bank's total domestic loans, from 3.95% to 9.04%. These increases were followed by substantial increases in domestic non-accrual business loans. Net of allowance for credit losses, domestic non-accrual business loans at Canada's largest bank swelled from $361 million in 1989 to $2,465 million in 1992. Other categories of net domestic non-accrual loans also swelled: consumer installment and other personal loansfrom $40 million in 1989 to $153 million in 1992; and residential mortgagesfrom $15 million in 1987 to $225 million in 1993. But Canada's money stock also increased. The year-over-year change in (M2-M1), for example, increased from $6,480 million in 1983 to $31,480 million in 1989, the largest increases occurring in 1986 and in 1989.15 Industry-wide increases in commercial real estate loans were followed by increases in:

  1. The number of business bankruptciesfrom 7,659 in 1987 to 14,317 in 1992.
  2. The number of consumer bankruptciesfrom 19,752 in 1985 to 62,277 in 1991.16
  3. The unemployment ratefrom 7.5% in 1989 to 11.3% in 1992.17
  4. The debt outstanding of persons and unincorporated business, as percent of personal disposable income,from 71% in 1984 to 100.9% in 1994.18
  5. Government deficitsfrom $32,499 million in fiscal 1988/89 to about $66,137 million in fiscal 1992/93 (all government levels).
  6. Government net debtfrom $388,359 million in 1988 to about $692,825 million in 1994 (all government levels).19
  7. The total Canadian criminal code ratefrom 8,356 in 1984 to 10,309 in 1991, on a per 100,000 population basis (traffic infractions excluded), etc., etc.20

While direct economic causality cannot be ascertained, correlations and linkages can be demonstrated or unconcealed.21 The validity of expert system rules connecting "causes" (e.g., banks and trust companies have misdirected loans or have overinvested in commercial real estate) and "effects" (e.g., the debt outstanding of persons and unincorporated business climbed out of control, the economy was destabilized, and the number of business and consumer bankruptcies reached record highs) cannot be certified, but the sensitivity and the specificity of hypothesized rules can be quantified and analyzed. In other words, the sensitivity of the probability of the conclusions can be calculated as a function of the subjective validity of the rules.

  1. Complexity. By their very nature, real economic systems are complex. Causal chains can involve many "causes," and these are not necessarily independent. For example, powerful economic players can manipulate the Rule of Law to gain financial, commercial, and judicial "net advantages." The advantages can then be used to further increase the power of dominant players. Dependencies in input evidences increase the complexity of the analysisbut are not beyond the capabilities of Monte Carlo simulations.

I have augmented the Monte Carlo simulation study with a variety of Notes. These deal with complex and highly controversial subjects: Usury, Darwinistic Manipulations of the Rule of Law, Madness in Capitalism, and Aggression in Banking. One important matter I cover is the unhealthy economic soul that seems to characterize well Capitalism in so-called liberal democracies. I have drawn on Hegel's philosophy in my attempt to develop A Theory of Economic Madness in Capitalism. I included this theory together with a Model of the Unhealthy Economic Soul as an intellectual assault on many of the current assumptions of Capitalist ideology. I have also provided Supplementary Notes on the Overturning of Capitalism.22 The inspiration for these is Heidegger's The Metaphysical Foundations of Logic. In these I clarify and summarize general philosophical ideas on five complex and difficult topics: (1) the characterization of Capitalism; (2) the basic problematic of Capitalism; (3) the foundations and principles of Capitalism; (4) the priesthood of Capitalism; and (5) the overturning and dismantling of Capitalism.

I expect criticism from the Capitalist priesthood especially, the rapacious kind. But it would be foolish for itjust as it was for the Ptolemaic Churchnot to heed the forces of Reason.

EDWARD E. AYOUB

TORONTO, ONTARIO
JUNE 20, 1998

 


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1 The combined use of expert systems for "codifying risk estimates," and of Monte Carlo simulation for dealing with uncertainty, was suggested by James N. Siddall in Expert Systems for Engineers, 1990, at 143-186.

2 See, for example, Economic Report of the President, transmitted to the Congress February 1994, at 61-62 (Oversupply of Commercial Buildings), and 63 (Credit Crunch).

3 See Richard Cantor and John Wenninger, Perspective on the Credit Slowdown, Federal Reserve Bank of New York Quarterly Review, Spring 1993, Vol. 18, No. 1, at 3-36.

4 See, for example, Duncan McDowall, Quick to the Frontier: Canada's Royal Bank, 1993, at 415-417, 424, and 431.

5 S. Wheeler et al., Do the 'Haves' Come Out Ahead? Winning and Losing in State Supreme Courts, 1870-1970, Law and Society Review, 21 (3), 1987, at 403-445.

6 Ibid., at 418 (Table 2: Success Rates by Nature of Party, 1870-1970).

7 Ibid., at 420 (Table 3: Net Advantage for Different Combinations of Parties, 1870-1970).

8 Ibid., at 428 (Table 7: Success Rates of "Haves" versus "Have Nots" in Specific Legal Roles, 1870-1970).

9 P. McCormick, Party Capability Theory and Appellate Success in the Supreme Court of Canada, 1949-1992, Canadian Journal of Political Science, 26 (3), September 1993, at 523-540 (Table 1: Reversal Rate, as Appellant and Respondent, by Type of Litigant: Supreme Court Decisions, 1949-1992, at 532).

10 P. McCormick, Canada's Courts, 1994, at 166-167 (Conclusion: Toward a Better Understanding of Appeal Courts).

11 D.R. Songer and R.S. Sheehan, Who Wins on Appeal? Upperdogs and Underdogs in the United States Courts of Appeals, Journal of Political Science, 36, 1992, at 239 and 243-246 (U.S. Court of Appeals decisions, 1986).

12 B.M. Atkins, Party Capability Theory as an Explanation for Intervention Behavior in the English Court of Appeal, American Journal of Political Science, 35, 1991, at 881 (English Court of Appeal decisions).

13 This section is expanded from my World War III Against the Money Trust?, 1997 (Book II, at 6-7).

14 See Royal Bank annual reports (loans by industry, as at September 30; non-accrual loans, net of allowance for credit losses, as at October 31).

15 Statistics Canada, Canadian Economic Observer, Historical Statistical Supplement, 1994/95, Catalogue 11-210, June 1995 (Table 34: Money Supply and Credit, at 88).

16 Consumer and Corporate Affairs Canada, Bankruptcy Branch (number of business and consumer bankruptcies in Canada, 1966-1996).

17 Economic Report of the President, Together with The Annual Report of the Council of Economic Advisers, transmitted to the Congress, February 1997 (Table B-107: Civilian Unemployment Rate, 1970-86, at 421).

18 Statistics Canada, Canadian Economic Observer, Historical Statistical Supplement, 1994/95, Catalogue 11-210, July 1995 (Table 2: Personal Income�Sources and Disposition�and Spending, at 10-11); Statistics Canada National Balance Sheet Accounts, Annual Estimates 1984-1993, System of National Accounts, Catalogue 13-214, March 1995 (Table 2: Credit Market Summary Table, at 4-5); and Robert Smith, private communication, November 24, 1995 (debt outstanding of persons and unincorporated business, 1970-1994).

19 Statistics Canada, Public Sector Finance 1995-1996, Financial Management System, Catalogue 68-212-XPB, March 1996 (Table 1.0: Federal, Provincial, Territorial and Local Government Net Debt, as at March 31, at 1; Table 1.5: Federal, Provincial, Territorial and Local Government Deficits, at 5.)

20 Dianne Hendrick, Canadian Crime Statistics, 1994, Juristat, 15 (12), August 1995, Catalogue 85-002, at 1-37 (Table 1: Rates of Criminal Code Incidents, Canada, 1984-1994, at 5; cited source: Uniform Crime Reporting Survey, Canadian Centre for Justice Statistics); Statistics Canada, Crime Trends in Canada, 1962-1990, Juristat, 12 (7), March 1992, Catalogue 85-002, at 1-15 (Table 2: National and Regional Crime Rates per 100,000 Population, at 15; cited source: Uniform Crime Reporting Survey, Canadian Centre for Justice Statistics); and Rebecca Kong, CCJS, private communication, rev. crime statistics, 1980-1987.

21 See Edward E. Ayoub, World War III Against the Money Trust?, 1997, especially, Book II: The Dark Side of the Business Cycle.

22 The Notes are not against Money, as value in exchange, or against the Accumulation of Capital -- real, tangible, or intellectual; they are against Money as value in subjugation and coercion.

 

 











 

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Bank-Induced Risks
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Copyright © 1998-2008 by Edward E. Ayoub. All Rights Reserved.
Copyright © 1998-2008 by Macroknow Inc. All Rights Reserved.

Digital Art Copyright © 1998-2008 by Edward Thomas Matthew Ayoub. All Rights Reserved.

Macroknow™, Macroknow BookView™, Macroknow i-Books™, Macroknow i-Services™, Macroknow WorldHood™, and the Macroknow logos are trademarks of Macroknow Inc.

Other product, service, or company names mentioned in this Web may be the trademarks of their respective owners.

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