Tokenized Gold in Crypto Markets: Tracking Accuracy and Portfolio Performance

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Authors: Muhammad Ashfaq, Maximilian Pfeifer, Tan Gürpinar, Mehmet Akif Gulum
Cited by: 3
References: 15

Abstract

This paper examines the relationship between traditional gold (XAU) and its tokenized counterparts (PAXG and XAUT), providing an empirical assessment of how digital representations of real-world assets align with their underlying benchmarks. Using multi-year time series data, the study evaluates price deviations, tracking accuracy, correlations, and volatility across both weekday-only and 24/7 trading datasets, incorporating weekend effects and crypto-market microstructure. Results show that both tokenized assets exhibit strong long-term alignment with XAU, while short-term divergences arise from continuous crypto trading, liquidity fragmentation, and issuer-specific design features, with XAUT consistently tracking spot gold more closely than PAXG. Building on this analysis, the paper examines the role of tokenized gold within dynamic, smart contract-driven crypto portfolios that also include BTC, ETH, and cash. Portfolio simulations demonstrate that adaptive rebalancing strategies materially improve risk-adjusted performance, with XAUT serving as a stabilizing anchor and cash enabling rapid, automated repositioning during volatility spikes. The findings offer a dual contribution: they clarify the fidelity and market behavior of tokenized gold and provide evidence of its practical utility within automated, on-chain portfolio management, highlighting both its strengths and structural limitations in emerging digital financial systems.

Fields of Study & Subjects

Blockchain Technology Applications and Security Market Dynamics and Volatility Stock Market Forecasting Methods

Publication details

Journal / source
FinTech
Publisher
MDPI AG
Volume
5
Issue
1
Pages
19–19
Publication date
2 March 2026
Language
EN