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Robust Portfolio Optimization : Construction and analysis of a robust mixed-integer linear program for use in portfolio optimization

When making an investment, it is desirable to maximize the profits while minimizingthe risk. The theory of portfolio optimization is the mathematical approach to choosingwhat assets to invest in, and distributing the capital accordingly. Usually, the objectiveof the optimization is to maximize the return or minimize the risk. This report aims toconstruct and analyze a robust optimization model with MILP in order to determine ifthat model is more suitable for portfolio optimization than earlier models. This is doneby creating a robust MILP model, altering its parameters, and comparing the resultingportfolios with portfolios from older models. Our conclusion is that the constructed modelis appropriate to use for portfolio optimization. In particular, a robust approach is wellsuited for portfolio optimization, and the added MILP-part allows users of the model tospecialize the portfolio to their own preferences.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-348802
Date January 2024
CreatorsBjurström, Tobias, Gabrielsson Baas, Sebastian
PublisherKTH, Skolan för teknikvetenskap (SCI)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationTRITA-SCI-GRU ; 2024:261

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