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FORECAST CAUSAL RISK MODEL

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Maryam Hidayatallah CPFA,MIPA,MA,CICA

This document presents a forecast causal risk model that uses a quadratic equation (y = -0.0314x^2 + 4.2857x - 61.143) to model the relationship between an economic value index on the x-axis and a risk threshold on the y-axis, with an R2 value of 1 indicating a perfect fit to the data points provided.

FORECAST CAUSAL RISK MODEL
60
30
70
y = -0.0314x2 + 4.2857x - 61.143
R² = 1
0
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0 20 40 60 80 100 120 140
ECONOMICVALUEINDEX
THRESHOLD CORRELATED PREDICTORS
©PurpleShutterbug

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FORECAST CAUSAL RISK MODEL

1. FORECAST CAUSAL RISK MODEL 60 30 70 y = -0.0314x2 + 4.2857x - 61.143 R² = 1 0 10 20 30 40 50 60 70 80 90 100 0 20 40 60 80 100 120 140 ECONOMICVALUEINDEX THRESHOLD CORRELATED PREDICTORS ©PurpleShutterbug