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Abstract
This study investigates how integrating finance-based measures of
systematic and idiosyncratic risk into customer valuation deepens the
understanding of client heterogeneity in private banking and enhances the
managerial interpretation of financial performance. We hypothesize that
decomposing and jointly analyzing both risk dimensions reveals interaction
effects that materially influence Customer Lifetime Value (CLV) and aggregate
Customer Equity (CE), providing a stronger analytical basis for service differentiation,
pricing, and advisory efforts. Using a proprietary and rare longitudinal
dataset of high-net-worth clients from a major Brazilian private bank, we
reconstruct monthly margins, estimate volatility and beta relative to a
benchmark, and project cash flows through deterministic and nonparametric
methods. The results show that incorporating combined client-specific risk
measures significantly alters CLV and CE relative to uniform discounting,
improving balance and highlighting the managerial relevance of risk-based
segmentation. The framework connects asset-pricing logic with service
management, enabling more tailored, transparent, and financially grounded
customer strategies.
JEL classification numbers: G21, L84, G12, C63.
Keywords:
Financial Services, Private Banking, Customer
Valuation, Risk-Adjusted Discounting, Systematic Risk, Idiosyncratic Risk,
Customer Relationship Management.