📈 economics

When Safe Havens Fail: Regime-Dependent Spillover Connectedness Among African Stock Markets, Precious Metals, and Cryptocurrencies

This study employs a combined TVP-VAR and QVAR framework to demonstrate that spillover connectedness among African stock markets, precious metals, and cryptocurrencies is highly regime-dependent, revealing that cryptocurrencies act as major shock transmitters, African equities as net receivers, and precious metals as unreliable safe havens during periods of market stress.

Original authors: David Korsah

Published 2026-08-03

📖 5 min read🧠 Deep dive

CC BY 4.0

Original authors: David Korsah

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine the world of money as a giant, bustling ocean where different types of boats sail together. Some are sturdy, old-fashioned ships like stock markets (places where people buy pieces of companies), while others are shiny, new speedboats like cryptocurrencies (digital money that lives on computers). Then there are the heavy, ancient anchors called precious metals (like gold and silver), which sailors have trusted for centuries to stay steady when the waves get rough.

For a long time, people believed these boats mostly sailed in their own lanes. They thought that when the ocean got stormy, the heavy anchors would hold the line, keeping the other boats safe. But recently, scientists have started wondering: What if the boats are actually tied together with invisible ropes? What if, when one boat gets tossed by a wave, it yanks the others along with it? This field of study is called financial connectedness. It's like trying to figure out how a sneeze in one part of the world can make someone in another part catch a cold. The big question is: When the market gets scary, do these assets help each other stay calm, or do they all panic and crash together?

When Safe Havens Fail: The Great Financial Tug-of-War

In this study, a researcher named David Korsah decided to dive deep into the waters of seven major African stock markets, mixing them with three precious metals (Gold, Silver, and Palladium) and three popular cryptocurrencies (Bitcoin, Ethereum, and BNB). He looked at daily data from July 2007 to July 2023 to see how these assets danced together.

To understand the dance, he used two special tools. The first tool, TVP-VAR, is like a slow-motion camera that watches how the relationships between these assets change over time. The second tool, QVAR, is like a microscope that zooms in on the extreme moments—looking specifically at what happens when the market is super happy (bullish), super sad (bearish), or just having a normal day.

The Big Surprise: The "Safe" Anchors Are Actually Tugboats

The most exciting (and slightly scary) finding is that the old rules don't always apply. For years, people thought Gold was the ultimate "safe haven"—a place to hide when things went wrong. But this study suggests that in African markets, Gold isn't always a quiet anchor.

In calm weather: Gold acts like a sponge, soaking up shocks and staying steady.
In a storm: The paper finds that Gold's role changes, but it doesn't become the main engine of chaos. Instead, Silver emerges as the major tugboat, aggressively transmitting shocks to the rest of the market. Gold does flip from a receiver to a transmitter during extreme stress, but it does so only as a marginal force compared to Silver's dominant role. It becomes part of the tug-of-war, but it's not the one pulling the hardest.

The Digital Speedboats Are Leading the Chaos

Another major discovery involves cryptocurrencies. Many people hoped these digital coins would be independent, floating freely away from the traditional stock market. However, the data shows they are increasingly acting as transmitters of shocks.

Think of cryptocurrencies as the rowdy kids in the back of the boat. When the market gets nervous, these digital assets don't just sit there; they start shouting and pushing, sending waves of volatility toward the African stock markets. The study shows that during bad times, Bitcoin and other coins often lead the charge, pushing the stock markets down, rather than protecting them.

The African Markets: Mostly the Receivers

The African stock markets studied (like those in Ghana, Nigeria, South Africa, and Egypt) mostly act as net receivers. Imagine them as the smaller boats in the middle of the ocean. When a big wave hits from the metals or the crypto side, these stock markets get splashed. They don't usually start the wave; they catch it.

However, the study notes that this isn't always the same. In normal times, some smaller markets might act as transmitters, but as soon as the market turns bearish (sad) or bullish (super happy), the roles flip. The connections get much stronger and more intense.

The Storms Made the Ropes Tighter

The paper also looked at how these connections changed over time. It found that after 2020 (during the pandemic and the war in Ukraine), the invisible ropes tying these assets together got tighter. The total "connectedness" jumped from about 59% in normal times to over 90% during extreme market conditions.

This means that when the market is in a frenzy—whether it's a panic or a party—everything moves together much more strongly than before. The study suggests that the world of African finance has become more integrated, but also more vulnerable to being dragged down by whatever happens to Gold, Silver, or Bitcoin.

What This Means for You

So, what's the takeaway for a curious teenager or an investor?

Don't trust the "Safe Haven" label blindly: Just because Gold is supposed to be safe doesn't mean it will protect you during a crisis in these specific markets. Sometimes, it might actually make things worse, though it's Silver that usually leads the charge in transmitting volatility.
Crypto is a double-edged sword: Digital assets are no longer just a side show; they are actively influencing the stock market, often amplifying the swings.
The weather matters: You can't use the same strategy for a sunny day as you do for a hurricane. The way these assets behave changes completely depending on whether the market is calm, crashing, or soaring.

In short, the paper suggests that the financial ocean is more connected than we thought. The ropes are there, and when the storm hits, everything moves as one giant, tangled mess. The "safe" anchors might just be part of the tug-of-war after all.

Technical Summary: When Safe Havens Fail: Regime-Dependent Spillover Connectedness Among African Stock Markets, Precious Metals, and Cryptocurrencies

Problem Statement
While global financial markets have become increasingly interconnected, empirical evidence regarding cross-asset spillovers within African equity markets remains fragmented. Existing literature often relies on linear, time-invariant models that fail to capture tail-risk dependence and regime heterogeneity, which are critical for frontier markets characterized by structural vulnerabilities. Furthermore, the roles of traditional safe havens (precious metals) and emerging digital assets (cryptocurrencies) in African financial systems are poorly understood, particularly regarding whether they act as stabilizers or amplifiers of systemic risk during extreme market conditions. This study addresses the gap by examining the dynamic and quantile-dependent spillover connectedness among seven major African stock markets, three precious metals, and three cryptocurrencies.

Methodology
The study utilizes daily data from July 2007 to July 2023, covering seven African stock exchanges (representing North, South, East, and West Africa), three precious metals (Gold, Silver, Palladium), and three cryptocurrencies (Bitcoin, Ethereum, Binance Coin). To capture both time-varying and tail-dependent spillovers, the author employs a unified framework combining two advanced econometric techniques:

Quantile Vector Autoregression (QVAR): This approach decomposes forecast error variance across different quantiles of the return distribution (specifically $\tau = 0.05$ for bearish, $\tau = 0.50$ for normal, and $\tau = 0.95$ for bullish conditions). It allows for the analysis of how connectedness changes under extreme market states compared to tranquil periods.
Time-Varying Parameter Vector Autoregression (TVP-VAR): This model captures the mean relationships and time-varying effects of the variables over the entire sample period, providing a long-term structural perspective on connectedness.

The analysis is supplemented by extensive robustness checks, including wavelet coherence (time-frequency decomposition), minimum-spanning-tree (MST) network analysis, quantile-on-quantile (QQ) estimation, chronological sub-sample analysis (isolating the Russia–Ukraine war), and asymmetric volatility connectedness (good vs. bad semivariance).

Key Results
The empirical findings reveal pronounced regime dependence and nonlinearity in cross-asset linkages:

Regime-Dependent Connectedness: Total connectedness intensifies significantly during extreme market states. The Total Connectedness Index (TCI) rises from approximately 59.76% under normal conditions to over 90% during both bearish and bullish regimes. This confirms that spillovers are state-dependent, intensifying during crises and booms.
Role of African Equities: African stock markets predominantly function as net receivers of shocks across most regimes. However, smaller frontier markets (e.g., Ghana and Dar es Salaam) act as net transmitters during normal conditions but revert to net receivers during crises, while larger markets like Johannesburg (JSE) shift from receivers to transmitters during bearish periods.
Failure of Traditional Safe Havens: The study challenges the universal safe-haven status of precious metals. While Gold acts as a net receiver under normal conditions, it becomes a net transmitter during bearish markets. Silver and Palladium consistently act as net transmitters, suggesting they amplify rather than absorb volatility. This indicates that the safe-haven role is regime-dependent rather than structural.
Cryptocurrencies as Shock Transmitters: Cryptocurrencies emerge as increasingly important transmitters of shocks. Bitcoin, Binance Coin, and Ethereum exhibit time-varying roles, but overall, they function as structural conduits of volatility, particularly during extreme market conditions. The network topology analysis shows that cryptocurrencies occupy central positions in the connectedness network during tail events, linking other assets indirectly.
Structural Shift Post-2020: Robustness checks indicate a structural increase in baseline interconnectedness following 2020. The Russia–Ukraine war occurred within an already-elevated connectedness regime rather than initiating a new spike, suggesting that prior developments (e.g., the 2021 crypto cycle) had already deepened market integration.

Key Contributions

Methodological Integration: This is the first study to jointly model African equities, precious metals, and cryptocurrencies within a dynamic, regime-sensitive framework that integrates TVP-VAR and QVAR. This approach captures both time variation and tail-risk dynamics, overcoming the limitations of linear, constant-parameter models.
Empirical Evidence on Safe Havens: The paper provides evidence that the safe-haven properties of precious metals in African markets are not universal but are contingent on market regimes. It demonstrates that metals frequently transmit shocks during stress, contradicting the notion of them as passive stabilizers in this context.
Network Dynamics: By employing MST and wavelet coherence, the study reveals that the structure of connectedness reorganizes under stress, with cryptocurrencies becoming central hubs that link the broader financial system, rather than acting as isolated speculative assets.

Significance and Implications
The study contributes to the literature on emerging market financial integration by highlighting the nonlinear and state-dependent nature of risk transmission in frontier markets. The findings suggest that:

Portfolio Diversification: Static diversification strategies based on historical correlations are insufficient. Investors must adopt dynamic strategies that account for regime shifts, as asset relationships change markedly during stress.
Risk Management: The "safe haven" narrative for precious metals in Africa requires nuance; their protective role weakens or reverses during extreme conditions.
Regulatory Oversight: Given the role of cryptocurrencies as active transmitters of shocks, financial regulators in African economies should incorporate digital assets into systemic risk surveillance frameworks to mitigate contagion risks to traditional financial markets.
Financial Stability: The evidence of intensified cross-market linkages underscores the need for integrated financial stability frameworks capable of monitoring interconnected risks across equity, commodity, and digital asset markets.