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Inverse DEA for Portfolio Volatility Targeting: Industry Evidence from Taiwan Stock Exchange

This work develops an inverse data envelopment analysis (Inverse DEA) framework for portfolio optimization, treating return as a desirable output and volatility as an undesirable output. Using 20 industry-level portfolios from the Taiwan Stock Exchange (1365 stocks; FY-2020), we first evaluate effic...

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Bibliografische gegevens
Hoofdauteurs: Temitope Olubanjo Kehinde, Sai-Ho Chung, Oludolapo Akanni Olanrewaju
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2025-10-01
Reeks:International Journal of Financial Studies
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Online toegang:https://www.mdpi.com/2227-7072/13/4/192
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