Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/38717
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Title: | Information flow between asset classes during extreme events |
Authors: | Almeida, Dora Dionísio, Andreia Ferreira, Paulo Aslam, Faheem Quintino, Derick |
Keywords: | Transfer entropy Cryptocurrencies asset classes Financial networks Covid 19 Russia–Ukraine war |
Issue Date: | 2025 |
Publisher: | Elsevier |
Abstract: | The interconnectedness between asset classes becomes particularly relevant during extreme
events, as market stress amplifies risk spillovers and impacts asset relationships, influencing risk
transmission and financial market stability. While existing studies often examine financial interdependencies,
including extended periods, they frequently focus on specific markets or asset
classes, limiting the understanding of cross-asset contagion effects. Thus, it is crucial to grasp the
interconnectedness among asset classes and how they communicate information under different
economic conditions. This research bridges the gap by applying the transfer entropy approach to
analyze the evolving connections among various asset classes from April 2017 to September 2024,
spanning the COVID-19 pandemic and the Russia–Ukraine war. The findings reveal that stocks
and cryptocurrencies consistently are net information transmitters to the system. Currency
benchmarks and gold tend to receive information from the system during increased tension,
reflecting their role in absorbing risk-driven capital flows. This study challenges the idea that
cryptocurrencies are separate from traditional financial markets and shows how they are
becoming more integrated. By employing net transfer entropy within a financial network analysis
framework, this study uncovers time-varying shifts in market interdependencies and, thus, an
enhanced description of financial contagion dynamics. The dynamic nature of such relationships
highlights the need for adaptive portfolio strategies and enhanced risk assessment models. Our
results have direct implications for portfolio management and risk assessment. Investors can use
this study’s findings to recognize assets that are sources of systemic risk or safe haven assets,
facilitating adaptative changes in their portfolios. Policymakers and regulators can use these
findings to forecast systemic vulnerabilities and implement strategies aiming to reduce financial
instability in times of crisis. |
URI: | http://hdl.handle.net/10174/38717 |
Type: | article |
Appears in Collections: | CEFAGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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