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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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

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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

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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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