Internal multi-portfolio rebalancing processes: Linking resource allocation models and biproportional matrix techniques to portfolio management

TL;DR

This paper introduces a market-invariant internal rebalancing process for multi-portfolio management, linking resource allocation models with biproportional matrix techniques, and demonstrates its advantages over traditional methods through theoretical analysis and empirical results.

Contribution

It presents a novel market-invariant rebalancing process that improves fairness and efficiency, connecting portfolio management with biproportional matrix algorithms like RAS.

Findings

The banker process disadvantages portfolios in volatile markets.

The linear process can advantage or disadvantage portfolios.

The market-invariant process is more equitable and has been adopted in industry.

Abstract

This paper describes multi-portfolio `internal' rebalancing processes used in the finance industry. Instead of trading with the market to `externally' rebalance, these internal processes detail how portfolio managers buy and sell between their portfolios to rebalance. We give an overview of currently used internal rebalancing processes, including one known as the `banker' process and another known as the `linear' process. We prove the banker process disadvantages the nominated banker portfolio in volatile markets, while the linear process may advantage or disadvantage portfolios. We describe an alternative process that uses the concept of `market-invariance'. We give analytic solutions for small cases, while in general show that the $n$-portfolio solution and its corresponding `market-invariant' algorithm solve a system of nonlinear polynomial equations. It turns out this algorithm is a rediscovery of the RAS algorithm (also called the `iterative proportional fitting procedure') for biproportional matrices. We show that this process is more equitable than the banker and linear processes, and demonstrate this with empirical results. The market-invariant process has already been implemented by industry due to the significance of these results.