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CHAPTER 3

Expert System

 

Objective

The objective of the expert system is to quantify the potential "effects" of an increasingly Darwinistic business environment on sound but funding-limited small firms. "Effects" are quantified as changes in the subjective probability of conclusions, such as, the bank suddenly freezes, reduces, or calls the firm's loan and sound funding-limited firms are destabilized. "Causes" are quantified as increases in the subjective probabilities of input evidences, such as, bank loans are misdirected and the concentration of financial and commercial powers is excessive.

Expert System Rules

The expert system consists of input evidences, rules, and conclusions.1 Rules connect evidences and conclusions and are expressed in the form of if-then logic statements. Five rules are considered:

Rule 1:
IF [the bank misdirects loans and indulges in speculative overinvestments] AND [financial and commercial powers are concentrated] AND ["conscious parallelism" or "tacit collusion" in the financial sector spreads the misdirection of loans] THEN [the economy is destabilized and the bank's cash resources fall substantially]

Rule 2:
IF [the firm is funding limited] AND [the firm's payoff is not immediate] AND [the value of the firm's collateral falls below the bank's "tolerance" level (say about 1 to 3 times the value of the firm's loan)] THEN [the bank judges the firm to be "high-risk"]

Rule 3:
IF [the economy is destabilized and the bank's cash resources fall substantially] OR [the bank's loan policies and risk assessment procedures for the firm's business sector are flawed or inadequate] OR [the bank judges the firm to be "risky"] THEN [the bank suddenly freezes, reduces, or calls the firm's loan]

Rule 4:
IF [the bank suddenly freezes, reduces, or calls the firm's loan] AND [other creditors tighten the firm's credit] AND [the firm is unable to secure an alternative source of funding on short notice] THEN [the firm is destabilized]

Rule 5:
IF [the firm is destabilized] AND [the value of the firm's assets exceeds the value of the assets the bank can legally move to control or possess] AND [the legislation and the judiciary favor lenders over borrowers] AND [the bank, creditors, or their agents use predatory practices] THEN [the firm is functionally destroyed or cannibalized]

The rules governing the expert system are displayed in Plate 3-1.

Input Evidences

The input evidences can be organized around four distinct categories:

Category 1. Distribution of Bank Loans and Concentration of Power:
E1: Evidence of loan misdirection at banks.
E2: Evidence of excessive concentration of financial and commercial powers.
E3: Evidence of "conscious parallelism" or "tacit collusion" in the financial sector.

Category 2. State of the Firm:
E4: Evidence that the firm is sound and funding limited.
E5: Evidence that the firm's payoff is not immediate.
E6: Evidence that the value of the secured collateral held by the bank has fallen below the bank's "tolerance" level (say about no less than one to three times the value of the loan).
E9: Evidence that the firm is unable to secure an alternative source of funding on short notice.
E10: Evidence that the value of the firm's assets (real, tangible, or intangible assets, including patents, copyrights, trade marks, R&D tax credits, etc.) exceeds significantly the value of the secured collateral.

Category 3. Bank Policies and Signaling:
E7: Evidence of inadequate bank policies and procedures regarding the firm's business sector.
E8: Evidence that when the bank tightens a company's credit, it signals a decrease in the creditworthiness of that firm.

Category 4. Legislative and Judicial Bias and Bank Practices:
E11: Evidence that legislation and the judiciary favor lenders over borrowers.
E12: Evidence that the bank, creditors, or their agents use adversarial and predatory practices.

The categories can be consolidated into two groups:

Group 1. Firm-Related Inputs:
Firm-related inputs include all Category 2 evidences. The truth of each firm-related evidence is assigned a subjective probability. Firm-related probabilities are assumed to be characteristic of a sound but funding-limited firm. The subjective probability that the firm is funding-limited is set at 100%. The probability that the firm's payoff is not immediate is set at a subjective 80%, etc. Firm-related probabilities are held constant.

Group 2. Environment-Related Inputs:
Environment-related inputs include all evidences in Categories 1, 3, and 4. The truth of each environment-related evidence is assigned a range of subjective probabilities
--from 0% to some maximum subjective value. Together, the ranges codify the degree to which the business environment is exploitative, adversarial, or predatory.
To simulate an increasingly "Darwinistic" environment, these probabilities are varied simultaneously from 0% to their respective subjective maximum values. Clearly, the higher the maximum values, the greater is the truth that the environment is exploitative, adversarial, or predatory. For example, the subjective probability that bank loans are misdirected is varied from 0% (no evidence of misdirection) to 100%. The subjective probability that bank practices are predatory is varied from 0% (no evidence of predation) to a maximum of 80%, etc.

To increase in one fell swoop all environment-related probabilities, a parameter called strength of evidence is used. By increasing this parameter from 0% to 100%, all environment-related probabilities are increased simultaneously from 0% to their respective maximum values. The ranges of the subjective probabilities for all the input evidences used in the Monte Carlo simulation are given in Table 3-1.

Conclusions

The expert system has five conclusions, four intermediate (C1-C4) and one final (C5):

Intermediate Conclusions:
C1: Cash resources at banks fall substantially; several business sectors or the whole economy are destabilized.
C2: The bank judges the firm to be in the "high-risk" category; it initiates a review of the firm's line of credit.
C3: The bank suddenly and deliberately freezes, reduces, or calls the firm's loan.
C4: The firm is destabilized.

Final Conclusion:
C5: The firm is functionally destroyed or cannibalized by economic predators.

The dependence of the subjective probabilities of conclusions C3, C4, and C5 on the strength of the input evidences is shown in Plate 3-2. The Plate illustrates very clearly that the subjective probability that a sound funding-limited firm is destroyed increases substantially as the business environment becomes increasingly Darwinistic.

 





1 According to Sidall, a subjective probability is "a subjective judgement by an individual of the likelihood of an event occurring." See James N. Siddall, Expert Systems for Engineers, 1990, at 145-154 (Probability Concepts).   

 

EXPERT SYSTEM LOGIC DIAGRAM
INPUT EVIDENCES AND CONCLUSIONS

 

Plate 3-1
  
Plate 3-1    Expert System Logic Diagram: Input Evidences and Conclusions

The conclusions and the associated input evidences are logically connected via rules. The expert system has five rules, 12 input evidences (E1-E12), and five conclusions (C1-C5). The firm-related input evidences are E4-E6 and E9-E10. These are consistent with those of a small sound but funding-limited firm. The environment-related input evidences are E1-E3, E7-E8, and E11-E12. Input evidences E2, E3, and E11 depend on Government rules and regulations and on legislation; but these can be influenced, even manipulated, by powerful institutions. In the Monte Carlo simulations, the subjective probabilities of firm-related evidences are held constant, and those of environment-related evidences are varied simultaneously from 0% to their respective maximum values.

[Copyright -- 1998 by MACROKNOW INC. All rights reserved.]

  

 

SUBJECTIVE PROBABILITIES
THAT THE INPUT EVIDENCES ARE TRUE

 

GROUP-
CATEGORY
NO. EVIDENCE

SUBJECTIVE
PROBABILITY

1-2 E4 The firm is sound and funding limited

100%

E5 The firm's payoff is not immediate

80%

E6 The value of the secured collateral has fallen below the bank's "tolerance level"

80%

E9 The firm is unable to secure an alternative source of funding on short notice 100%
E10 The value of the firm's assets exceeds the amounts owed to the bank 100%
2-1 E1 Bank loans are misdirected

0%-100%

E2 The concentration of financial and commercial powers is excessive

0%-90%

E3 Per-branch revenue and cost data reveal "conscious parallelism" or "tacit collusion" at banks

0%-80%

2-3 E7 The bank's policies and risk assessment procedures for the firm's business sector are inadequate

0%-90%

E8 Other creditors tighten the firm's credit 0%-80%
2-4 E11 The law favors lenders over borrowers 0%-90%
E12 The firm's bank, creditors, or their agents use predatory practices

0%-80%

  
Table 3-1      Subjective Probabilities that the Input Evidences Are True: Fixed Firm-Related Evidences and Variable Environment-Related Evidences

Firm-related evidences are consistent with those of a sound but funding-limited firm. In Monte Carlo simulations: the subjective probabilities for all firm-related evidences are held constant; those for environment-related evidences are varied simultaneously from 0% to their respective maximum values. For corroborative support for input evidences E1-E3, and E11, for Canada, see my World War III Against The Money Trust?, 1997 (especially Appendix B in Book II).

[Copyright -- 1998 by MACROKNOW INC. All rights reserved.]

 

IMPACT OF A DARWINISTIC BUSINESS ENVIRONMENT
ON SOUND FUNDING-LIMITED SMALL FIRMS

 

Plate 3-2
  
Plate 3-2     Effects of an Increasingly Darwinistic Business Environment on Sound Funding-Limited Firms: Probability that the Firm is Destabilized and Destroyed after the Bank Reduces, Freezes, or Calls its Loan vs. The Strength of the Evidences

The logic of the expert system is specified in Chart 1. The subjective probability ranges for the input evidences are listed in Table 1. The subjective probabilities P(C3), P(C4), and P(C5) are computed as a function of the strength of the input evidences (E1, E2, and E3 ; E7 and E8; and E11 and E12). Monte-Carlo simulations are used. The assumptions are summarized as follows:

  1. The subjective probabilities of firm-related (Group 1) evidences are fixed:
    P(E4)=100%, P(E5)=80%, P(E6)=80%, P(E9)=100%, and P(E10)=100%.
  2. The ranges for the subjective probabilities of environment-related (Group 2) evidences are:
    P(E1)=0%-100%, P(E2)=0%-90%, and P(E3)=0%-80%
    P(E7)=0%-90% and P(E8)=0%-80%
    P(E11)=0%-90% and P(E12)=0%-80%.
  3. The expert system rules are valid. Both the sensitivity and the specificity of the rules are fixed at 100%.

 

PROBABILITY OF THE CONCLUSIONS C3, C4, C5
P(C|E)=100% AND P(-C|-E)=100%
[IN PERCENT]

P(C)

STRENGTH OF THE EVIDENCES

0

50

90

100
P(C3) = Probability that the firm's credit is tightened
P(C4) = Probability that the firm is destabilized
P(C5) = Probability that the firm is destroyed

64.7
0
0

82.5
34.6
5.5

96.7
69.5
41.7

99.0
78.3
57.3

 

PERNICIOUS DARWINISTICISM

The Monte Carlo simulations show the dramatic effect of an increasingly Darwinistic business environment:

"NET ADVANTAGES" FOR LENDERS AT THE EXPENSE OF BORROWERS, HIGH CONCENTRATION OF FINANCIAL AND COMMERCIAL POWERS, PREDATORY PRACTICES, AND BANK-INDUCED RISKS CAN INCREASE SUBSTANTIALLY THE PROBABILITY OF DEFAULT OF SOUND FUNDING-LIMITED FIRMS--WITH POTENTIALLY DEVASTATING IMPACTS ON THE ECONOMY.

This important result explains why the generally less adversarial business environment in Japan has benefitted the Japanese and their economy.

 

[Copyright -- 1998 by MACROKNOW INC. All rights reserved.]

  

 











 

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