Multi-period mean–variance portfolio optimization with management fees

Due to limited capital and limited information from stock market, some individual investors prefer to construct a portfolio of funds instead of stocks. But, there will be management fees paid to the fund managers during the investment, which are in general proportional to the net asset value of the...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Operational research 2021-06, Vol.21 (2), p.1333-1354
Hauptverfasser: Cui, Xiangyu, Gao, Jianjun, Shi, Yun
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1354
container_issue 2
container_start_page 1333
container_title Operational research
container_volume 21
creator Cui, Xiangyu
Gao, Jianjun
Shi, Yun
description Due to limited capital and limited information from stock market, some individual investors prefer to construct a portfolio of funds instead of stocks. But, there will be management fees paid to the fund managers during the investment, which are in general proportional to the net asset value of the funds. Motivated by this phenomena, this paper considers multi-period mean–variance portfolio optimization problem with proportional management fees. Using stochastic dynamic programming, we derive the semi-analytical optimal portfolio policy. Our result helps clarify the benefit and cost of adopting such dynamic portfolio policy with management fees.
doi_str_mv 10.1007/s12351-019-00482-4
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2530257698</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2530257698</sourcerecordid><originalsourceid>FETCH-LOGICAL-c404t-355129d324c17b2597aefa3a56605bb981ba88cbd6659e8e4eec51f64b6ae1453</originalsourceid><addsrcrecordid>eNp9kM9Kw0AQxoMoKLUv4CngeXVn_2VzFFErVLzoedmkk7qlycbdraIn38E39ElMjdBbB4YZmO_7Bn5Zdgb0AigtLiMwLoFQKAmlQjMiDrIT0EoRkFQeDjvQkjAt9XE2jXFFh-Ks0EKfZLOHzTo50mNwfpG3aLufr-83G5ztasx7H1Lj187nvk-udZ82Od_l7y695K3t7BJb7FLeIMbT7Kix64jT_znJnm9vnq5nZP54d399NSe1oCIRLiWwcsGZqKGomCwLi43lVipFZVWVGiqrdV0tlJIlahSItYRGiUpZBCH5JDsfc_vgXzcYk1n5TeiGl4ZJTpksVKn3qhjIYmi5VbFRVQcfY8DG9MG1NnwYoGaL1oxozYDW_KE1YjDlowlr37m4sxSKiRI0bHP5KInDsVti2H3fE_wLVqGGUw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2215721558</pqid></control><display><type>article</type><title>Multi-period mean–variance portfolio optimization with management fees</title><source>SpringerLink Journals</source><creator>Cui, Xiangyu ; Gao, Jianjun ; Shi, Yun</creator><creatorcontrib>Cui, Xiangyu ; Gao, Jianjun ; Shi, Yun</creatorcontrib><description>Due to limited capital and limited information from stock market, some individual investors prefer to construct a portfolio of funds instead of stocks. But, there will be management fees paid to the fund managers during the investment, which are in general proportional to the net asset value of the funds. Motivated by this phenomena, this paper considers multi-period mean–variance portfolio optimization problem with proportional management fees. Using stochastic dynamic programming, we derive the semi-analytical optimal portfolio policy. Our result helps clarify the benefit and cost of adopting such dynamic portfolio policy with management fees.</description><identifier>ISSN: 1109-2858</identifier><identifier>EISSN: 1866-1505</identifier><identifier>DOI: 10.1007/s12351-019-00482-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Bank accounts ; Business and Management ; Computational Intelligence ; Costs ; Dynamic programming ; Fees &amp; charges ; International finance ; Investment ; Investment advisors ; Management ; Management Science ; Mutual funds ; Operations Research ; Operations Research/Decision Theory ; Optimization ; Original Paper ; Portfolio management ; Rates of return ; Securities markets ; Stock exchanges</subject><ispartof>Operational research, 2021-06, Vol.21 (2), p.1333-1354</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Operational Research is a copyright of Springer, (2019). All Rights Reserved.</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-355129d324c17b2597aefa3a56605bb981ba88cbd6659e8e4eec51f64b6ae1453</citedby><cites>FETCH-LOGICAL-c404t-355129d324c17b2597aefa3a56605bb981ba88cbd6659e8e4eec51f64b6ae1453</cites><orcidid>0000-0002-4746-2312</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12351-019-00482-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12351-019-00482-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Cui, Xiangyu</creatorcontrib><creatorcontrib>Gao, Jianjun</creatorcontrib><creatorcontrib>Shi, Yun</creatorcontrib><title>Multi-period mean–variance portfolio optimization with management fees</title><title>Operational research</title><addtitle>Oper Res Int J</addtitle><description>Due to limited capital and limited information from stock market, some individual investors prefer to construct a portfolio of funds instead of stocks. But, there will be management fees paid to the fund managers during the investment, which are in general proportional to the net asset value of the funds. Motivated by this phenomena, this paper considers multi-period mean–variance portfolio optimization problem with proportional management fees. Using stochastic dynamic programming, we derive the semi-analytical optimal portfolio policy. Our result helps clarify the benefit and cost of adopting such dynamic portfolio policy with management fees.</description><subject>Bank accounts</subject><subject>Business and Management</subject><subject>Computational Intelligence</subject><subject>Costs</subject><subject>Dynamic programming</subject><subject>Fees &amp; charges</subject><subject>International finance</subject><subject>Investment</subject><subject>Investment advisors</subject><subject>Management</subject><subject>Management Science</subject><subject>Mutual funds</subject><subject>Operations Research</subject><subject>Operations Research/Decision Theory</subject><subject>Optimization</subject><subject>Original Paper</subject><subject>Portfolio management</subject><subject>Rates of return</subject><subject>Securities markets</subject><subject>Stock exchanges</subject><issn>1109-2858</issn><issn>1866-1505</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kM9Kw0AQxoMoKLUv4CngeXVn_2VzFFErVLzoedmkk7qlycbdraIn38E39ElMjdBbB4YZmO_7Bn5Zdgb0AigtLiMwLoFQKAmlQjMiDrIT0EoRkFQeDjvQkjAt9XE2jXFFh-Ks0EKfZLOHzTo50mNwfpG3aLufr-83G5ztasx7H1Lj187nvk-udZ82Od_l7y695K3t7BJb7FLeIMbT7Kix64jT_znJnm9vnq5nZP54d399NSe1oCIRLiWwcsGZqKGomCwLi43lVipFZVWVGiqrdV0tlJIlahSItYRGiUpZBCH5JDsfc_vgXzcYk1n5TeiGl4ZJTpksVKn3qhjIYmi5VbFRVQcfY8DG9MG1NnwYoGaL1oxozYDW_KE1YjDlowlr37m4sxSKiRI0bHP5KInDsVti2H3fE_wLVqGGUw</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Cui, Xiangyu</creator><creator>Gao, Jianjun</creator><creator>Shi, Yun</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K8~</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M7S</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-4746-2312</orcidid></search><sort><creationdate>20210601</creationdate><title>Multi-period mean–variance portfolio optimization with management fees</title><author>Cui, Xiangyu ; Gao, Jianjun ; Shi, Yun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-355129d324c17b2597aefa3a56605bb981ba88cbd6659e8e4eec51f64b6ae1453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bank accounts</topic><topic>Business and Management</topic><topic>Computational Intelligence</topic><topic>Costs</topic><topic>Dynamic programming</topic><topic>Fees &amp; charges</topic><topic>International finance</topic><topic>Investment</topic><topic>Investment advisors</topic><topic>Management</topic><topic>Management Science</topic><topic>Mutual funds</topic><topic>Operations Research</topic><topic>Operations Research/Decision Theory</topic><topic>Optimization</topic><topic>Original Paper</topic><topic>Portfolio management</topic><topic>Rates of return</topic><topic>Securities markets</topic><topic>Stock exchanges</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cui, Xiangyu</creatorcontrib><creatorcontrib>Gao, Jianjun</creatorcontrib><creatorcontrib>Shi, Yun</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Engineering Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Operational research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cui, Xiangyu</au><au>Gao, Jianjun</au><au>Shi, Yun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-period mean–variance portfolio optimization with management fees</atitle><jtitle>Operational research</jtitle><stitle>Oper Res Int J</stitle><date>2021-06-01</date><risdate>2021</risdate><volume>21</volume><issue>2</issue><spage>1333</spage><epage>1354</epage><pages>1333-1354</pages><issn>1109-2858</issn><eissn>1866-1505</eissn><abstract>Due to limited capital and limited information from stock market, some individual investors prefer to construct a portfolio of funds instead of stocks. But, there will be management fees paid to the fund managers during the investment, which are in general proportional to the net asset value of the funds. Motivated by this phenomena, this paper considers multi-period mean–variance portfolio optimization problem with proportional management fees. Using stochastic dynamic programming, we derive the semi-analytical optimal portfolio policy. Our result helps clarify the benefit and cost of adopting such dynamic portfolio policy with management fees.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12351-019-00482-4</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0002-4746-2312</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1109-2858
ispartof Operational research, 2021-06, Vol.21 (2), p.1333-1354
issn 1109-2858
1866-1505
language eng
recordid cdi_proquest_journals_2530257698
source SpringerLink Journals
subjects Bank accounts
Business and Management
Computational Intelligence
Costs
Dynamic programming
Fees & charges
International finance
Investment
Investment advisors
Management
Management Science
Mutual funds
Operations Research
Operations Research/Decision Theory
Optimization
Original Paper
Portfolio management
Rates of return
Securities markets
Stock exchanges
title Multi-period mean–variance portfolio optimization with management fees
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T06%3A30%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multi-period%20mean%E2%80%93variance%20portfolio%20optimization%20with%20management%20fees&rft.jtitle=Operational%20research&rft.au=Cui,%20Xiangyu&rft.date=2021-06-01&rft.volume=21&rft.issue=2&rft.spage=1333&rft.epage=1354&rft.pages=1333-1354&rft.issn=1109-2858&rft.eissn=1866-1505&rft_id=info:doi/10.1007/s12351-019-00482-4&rft_dat=%3Cproquest_cross%3E2530257698%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2215721558&rft_id=info:pmid/&rfr_iscdi=true