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Creating Effective Revenue Forecast Models for CCAR
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Creating Effective Revenue Forecast Models for CCAR Michael Woods, Principal Data Scientist
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To see this content presented, view the webinar at: https://youtu.be/8pnpdrSis7w
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Complexity is the Challenge
# of possible insights in the Dataset is exponential in size
c
Dataset 3
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# of possible insights in the Dataset next year after it grows another 40%
Inadequate Response to Complexity Quants
Conventional Analytical Approaches
Overfitting y
x
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Clean Slate Requirements
Speed
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Accuracy
Defensibility
A Man-Machine Workflow
Data
Algorithms + Compute
Variable Identification Machines
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Group of Variables
Business Input
Variable Selection
Statistical Tests
Models
Model Identification
Business Validation
Model Selection
Machine Intelligence Scalable Compute
Machine Learning, Geometric + Statistical Algorithms
+
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+
Topological Data Analysis
Transforming Data to Insight
Fed Macro Variables ~300
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Transforms ~900
Lagged ~2700
Distillable Model
Correlate Variables with Business Performance
Correlation with Revenue High
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Low
EurozoneUnemployment 20-Bond GO Index_Lag_1
UKGB10Yr
Corr AbsCorr 0.78 0.78 0.71 0.71 0.67 0.67 -0.66 0.66 0.62 0.62 0.51 0.51
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A
Group B
Eurozone Interest Rates Eurozonei1MLibor UKi1MLibor Eurozonei5YrSwap
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Corr AbsCorr 0.85 0.85 0.76 0.76 0.67 0.67 -0.34 0.34
Group C
D Group D
Funding Stress TED LIBOR less OIS LIBOR_Less_FED Eurozonei1MLibor_delta
Macro Growth EurozoneGDP_Index UKGDP_Index USUnemployment UKHousing_Lag_2
Corr AbsCorr 0.66 0.66 0.59 0.59 -0.57 0.57 0.47 0.47
C
E
Group E
Group A
Identify Statistically Significant Variables
Emerging Risk ASIAHangseng MexicoFxrate EMEAMXEMEA_Lag_2
UKFxrate
Credit Spreads USCDS_US10YR_BBB_pctChange USCDXnonIG_pctChange USCDS_US10YR_A_pctChange USCDS_US25YR_BBB_pctChange USCDXIG_pctChange
Corr AbsCorr -0.67 0.67 -0.51 0.51 0.49 0.49 -0.48 0.48 Corr AbsCorr 0.70 0.70 0.70 0.70 0.68 0.68 0.65 0.65 0.58 0.58
EurozoneUnemployment 20-Bond GO Index_Lag_1
UKGB10Yr
Corr AbsCorr 0.78 0.78 0.71 0.71 0.67 0.67 -0.66 0.66 0.62 0.62 0.51 0.51
B
Group B
Eurozone Interest Rates Eurozonei1MLibor UKi1MLibor Eurozonei5YrSwap
Macro Growth EurozoneGDP_Index UKGDP_Index USUnemployment UKHousing_Lag_2
Corr AbsCorr 0.66 0.66 0.59 0.59 -0.57 0.57 0.47 0.47
A
E
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Funding Stress TED LIBOR less OIS LIBOR_Less_FED Eurozonei1MLibor_delta
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Corr AbsCorr 0.85 0.85 0.76 0.76 0.67 0.67 -0.34 0.34
D Group D
Group E
Group A
Identify Statistically Significant Variables
Credit Spreads USCDS_US10YR_BBB_pctChange USCDXnonIG_pctChange USCDS_US10YR_A_pctChange USCDS_US25YR_BBB_pctChange USCDXIG_pctChange
Corr AbsCorr 0.70 0.70 0.70 0.70 0.68 0.68 0.65 0.65 0.58 0.58
Generate Permutation Set of Models
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Select for Empirical Validity
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Identify the Champion Model
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A Man-Machine Workflow
Data
Algorithms + Compute
Variable Identification Machines
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Group of Variables
Business Input
Variable Selection
Statistical Tests
Models
Model Identification
Business Validation
Model Selection
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