Quantifying dimensional change in stochastic portfolio theory

Erhan Bayraktar, Donghan Kim and Abhishek Tilva

Mathematical Finance, 2024, vol. 34, issue 3, 977-1021

Abstract: In this paper, we develop the theory of functional generation of portfolios in an equity market with changing dimension. By introducing dimensional jumps in the market, as well as jumps in stock capitalization between the dimensional jumps, we construct different types of self‐financing stock portfolios (additive, multiplicative, and rank‐based) in a very general setting. Our study explains how a dimensional change caused by a listing or delisting event of a stock, and unexpected shocks in the market, affect portfolio return. We also provide empirical analyses of some classical portfolios, quantifying the impact of dimensional change in portfolio performance relative to the market.

Date: 2024
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https://doi.org/10.1111/mafi.12425

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Working Paper: Quantifying dimensional change in stochastic portfolio theory (2023)
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