Exact and heuristic approaches for the index tracking problem with UCITS constraints

被引:0
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作者
Andrea Scozzari
Fabio Tardella
Sandra Paterlini
Thiemo Krink
机构
[1] Università degli Studi “Niccolò Cusano”,Dept. of Economics, RECent & CEFIN
[2] Sapienza University of Rome,Department of Finance, Accounting and Real Estate
[3] University of Modena and Reggio E.,undefined
[4] European Business School (EBS),undefined
[5] Allianz Global Investors Europe GmbH,undefined
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关键词
Index tracking; Mixed integer quadratic programming; Stochastic search heuristics; Differential evolution; Cardinality constraints;
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摘要
Index tracking aims at determining an optimal portfolio that replicates the performance of an index or benchmark by investing in a smaller number of constituents or assets. The tracking portfolio should be cheap to maintain and update, i.e., invest in a smaller number of constituents than the index, have low turnover and low transaction costs, and should avoid large positions in few assets, as required by the European Union Directive UCITS (Undertaking for Collective Investments in Transferable Securities) rules. The UCITS rules make the problem hard to be satisfactorily modeled and solved to optimality: no exact methods but only heuristics have been proposed so far.
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页码:235 / 250
页数:15
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