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Acta Oeconomicaarrow_drop_down
Acta Oeconomica
Article . 2026 . Peer-reviewed
Data sources: Crossref
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From the Diebold-Yilmaz approach to portfolio strategies: Diversification benefits of the Macedonian stock exchange index across SEE, Global, and alternative markets

Authors: Goran Hristovski; Gjorgji Gockov;

From the Diebold-Yilmaz approach to portfolio strategies: Diversification benefits of the Macedonian stock exchange index across SEE, Global, and alternative markets

Abstract

Abstract This study examines spillovers between Southeast European (SEE) equities and global and alternative assets and embeds these dynamics into portfolio allocation. Using the Diebold-Yilmaz framework within a TVP-VAR, we trace return spillovers across thirteen markets: SEE indices; developed benchmarks (S&P 500, Euro Stoxx 50); commodities (oil, gold); listed alternatives (private equity, real estate); and Bitcoin. Three results emerge. First, SEE markets, commodities, and crypto are predominantly net receivers, whereas developed benchmarks and listed alternatives are persistent transmitters. Second, connectedness is moderate in tranquil periods (25–40%) but surges to ∼80% during systemic stress (COVID-19). Third, North Macedonia's MBI10 is a net receiver, mainly from CROBEX and SBITOP, with persistent net transmission only to BELEX15. Building on this, we evaluate the Minimum Variance Portfolio (MVP), the Minimum Correlation Portfolio (MCP), and a novel Minimum Connectedness Portfolio (MCoP). MVP attains the highest Sharpe ratio; MCP delivers the strongest cumulative returns; and MCoP lowers volatility and improves hedging effectiveness relative to MCP while delivering higher average returns than MVP. Including MBI10 improves returns, reduces volatility, and raises risk-adjusted performance across all strategies, largest under MCoP, highlighting the diversification role of frontier markets and the value of connectedness-aware portfolio design.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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