The Generalisation of the DMCA Coefficient to Serve Distinguishing Between Hedge and Safe Haven Capabilities of the Gold
Mohamed Arbi Madani, Zied Ftiti

TL;DR
This study introduces a fractal-based correlation measure to analyze gold's role as a hedge and safe haven against oil and currency fluctuations, revealing its effectiveness varies with market conditions and investment horizons.
Contribution
It develops a new time-varying, scale-sensitive correlation measure and provides empirical evidence on gold's hedging and safe-haven capabilities across different market states.
Findings
Gold shows negative dependence with USD exchange rates, supporting its role as a hedge and safe haven.
Gold has weak hedge but limited safe-haven properties against oil during extreme market events.
Gold's hedging benefits are confirmed across various investment horizons, aiding risk management.
Abstract
This paper aims to investigate the role of gold as a hedge and/or safe haven against oil price and currency market movements for medium (calm period) and large (extreme movement) fluctuations. In revisiting the role of gold, our study proposes new insights into the literature. First, our empirical design relaxes the assumption of homogeneous investors in favour of agents with different horizons. Second, we develop a new measure of correlation based on the fractal approach, called the q-detrending moving average cross-correlation coefficient. This allows us to measure the dependence for calm and extreme movements. The proposed measure is both time-varying and time-scale varying, taking into account the complex pattern of commodities and financial time series (chaotic, non-stationary, etc.). Using intraday data from May 2017 to March 2019, including 35608 observations for each variable,…
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Taxonomy
TopicsMarket Dynamics and Volatility · Complex Systems and Time Series Analysis · Financial Risk and Volatility Modeling
