Loading…

Value at risk in the black litterman portfolio with stock selection through cluster analysis

The aim of this paper is to support the new strategy in the previous research where Black Litterman procedure is assisted by clustering for the process of given views. We provide the empirical result and focus on how to compute the Value at Risk (VaR) to illustrate the risk measure on Black Litterma...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2019-10, Vol.1320 (1), p.12004
Main Authors: Subekti, R, Ratna Sari, E, Kusumawati, R, Pintari, H O, Renggani, P
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c3284-e82e6f069dbf02c5585354145ee679870350a0c8daf5958b6b8d54ca5c4efc313
cites cdi_FETCH-LOGICAL-c3284-e82e6f069dbf02c5585354145ee679870350a0c8daf5958b6b8d54ca5c4efc313
container_end_page
container_issue 1
container_start_page 12004
container_title Journal of physics. Conference series
container_volume 1320
creator Subekti, R
Ratna Sari, E
Kusumawati, R
Pintari, H O
Renggani, P
description The aim of this paper is to support the new strategy in the previous research where Black Litterman procedure is assisted by clustering for the process of given views. We provide the empirical result and focus on how to compute the Value at Risk (VaR) to illustrate the risk measure on Black Litterman as a reference portfolio.
doi_str_mv 10.1088/1742-6596/1320/1/012004
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2567983857</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2567983857</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3284-e82e6f069dbf02c5585354145ee679870350a0c8daf5958b6b8d54ca5c4efc313</originalsourceid><addsrcrecordid>eNqFkFtLwzAYhoMoOKe_wYB3Qm3SNG16KcMjAwUPV0JI08Rly5aapMj-vS2ViSCYmwS-532_8ABwitEFRoyluMyzpKBVkWKSoRSnCGcI5Xtgspvs796MHYKjEJYIkf6UE_D2KmynoIjQm7CCZgPjQsHaCrmC1sSo_FpsYOt81M4aBz9NXMAQXT8OyioZjRsi3nXvCyhtF_oEFBtht8GEY3CghQ3q5Puegpfrq-fZbTJ_uLmbXc4TSTKWJ4plqtCoqJpao0xSyiihOc6pUkVZsRIRigSSrBGaVpTVRc0amktBZa60JJhMwdnY23r30akQ-dJ1vv9E4BkdKgijZU-VIyW9C8ErzVtv1sJvOUZ8UMkHSXwQxgeVHPNRZZ88H5PGtT_V94-zp98gbxvdw-QP-L8VX24Tg7k</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2567983857</pqid></control><display><type>article</type><title>Value at risk in the black litterman portfolio with stock selection through cluster analysis</title><source>Publicly Available Content Database</source><source>Free Full-Text Journals in Chemistry</source><creator>Subekti, R ; Ratna Sari, E ; Kusumawati, R ; Pintari, H O ; Renggani, P</creator><creatorcontrib>Subekti, R ; Ratna Sari, E ; Kusumawati, R ; Pintari, H O ; Renggani, P</creatorcontrib><description>The aim of this paper is to support the new strategy in the previous research where Black Litterman procedure is assisted by clustering for the process of given views. We provide the empirical result and focus on how to compute the Value at Risk (VaR) to illustrate the risk measure on Black Litterman as a reference portfolio.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/1320/1/012004</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Cluster analysis ; Clustering ; Empirical analysis ; Physics ; Risk</subject><ispartof>Journal of physics. Conference series, 2019-10, Vol.1320 (1), p.12004</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3284-e82e6f069dbf02c5585354145ee679870350a0c8daf5958b6b8d54ca5c4efc313</citedby><cites>FETCH-LOGICAL-c3284-e82e6f069dbf02c5585354145ee679870350a0c8daf5958b6b8d54ca5c4efc313</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2567983857?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590</link.rule.ids></links><search><creatorcontrib>Subekti, R</creatorcontrib><creatorcontrib>Ratna Sari, E</creatorcontrib><creatorcontrib>Kusumawati, R</creatorcontrib><creatorcontrib>Pintari, H O</creatorcontrib><creatorcontrib>Renggani, P</creatorcontrib><title>Value at risk in the black litterman portfolio with stock selection through cluster analysis</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>The aim of this paper is to support the new strategy in the previous research where Black Litterman procedure is assisted by clustering for the process of given views. We provide the empirical result and focus on how to compute the Value at Risk (VaR) to illustrate the risk measure on Black Litterman as a reference portfolio.</description><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Empirical analysis</subject><subject>Physics</subject><subject>Risk</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqFkFtLwzAYhoMoOKe_wYB3Qm3SNG16KcMjAwUPV0JI08Rly5aapMj-vS2ViSCYmwS-532_8ABwitEFRoyluMyzpKBVkWKSoRSnCGcI5Xtgspvs796MHYKjEJYIkf6UE_D2KmynoIjQm7CCZgPjQsHaCrmC1sSo_FpsYOt81M4aBz9NXMAQXT8OyioZjRsi3nXvCyhtF_oEFBtht8GEY3CghQ3q5Puegpfrq-fZbTJ_uLmbXc4TSTKWJ4plqtCoqJpao0xSyiihOc6pUkVZsRIRigSSrBGaVpTVRc0amktBZa60JJhMwdnY23r30akQ-dJ1vv9E4BkdKgijZU-VIyW9C8ErzVtv1sJvOUZ8UMkHSXwQxgeVHPNRZZ88H5PGtT_V94-zp98gbxvdw-QP-L8VX24Tg7k</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Subekti, R</creator><creator>Ratna Sari, E</creator><creator>Kusumawati, R</creator><creator>Pintari, H O</creator><creator>Renggani, P</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20191001</creationdate><title>Value at risk in the black litterman portfolio with stock selection through cluster analysis</title><author>Subekti, R ; Ratna Sari, E ; Kusumawati, R ; Pintari, H O ; Renggani, P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3284-e82e6f069dbf02c5585354145ee679870350a0c8daf5958b6b8d54ca5c4efc313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Empirical analysis</topic><topic>Physics</topic><topic>Risk</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Subekti, R</creatorcontrib><creatorcontrib>Ratna Sari, E</creatorcontrib><creatorcontrib>Kusumawati, R</creatorcontrib><creatorcontrib>Pintari, H O</creatorcontrib><creatorcontrib>Renggani, P</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Database‎ (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Subekti, R</au><au>Ratna Sari, E</au><au>Kusumawati, R</au><au>Pintari, H O</au><au>Renggani, P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Value at risk in the black litterman portfolio with stock selection through cluster analysis</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2019-10-01</date><risdate>2019</risdate><volume>1320</volume><issue>1</issue><spage>12004</spage><pages>12004-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>The aim of this paper is to support the new strategy in the previous research where Black Litterman procedure is assisted by clustering for the process of given views. We provide the empirical result and focus on how to compute the Value at Risk (VaR) to illustrate the risk measure on Black Litterman as a reference portfolio.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/1320/1/012004</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1742-6588
ispartof Journal of physics. Conference series, 2019-10, Vol.1320 (1), p.12004
issn 1742-6588
1742-6596
language eng
recordid cdi_proquest_journals_2567983857
source Publicly Available Content Database; Free Full-Text Journals in Chemistry
subjects Cluster analysis
Clustering
Empirical analysis
Physics
Risk
title Value at risk in the black litterman portfolio with stock selection through cluster analysis
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T23%3A45%3A55IST&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=Value%20at%20risk%20in%20the%20black%20litterman%20portfolio%20with%20stock%20selection%20through%20cluster%20analysis&rft.jtitle=Journal%20of%20physics.%20Conference%20series&rft.au=Subekti,%20R&rft.date=2019-10-01&rft.volume=1320&rft.issue=1&rft.spage=12004&rft.pages=12004-&rft.issn=1742-6588&rft.eissn=1742-6596&rft_id=info:doi/10.1088/1742-6596/1320/1/012004&rft_dat=%3Cproquest_cross%3E2567983857%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3284-e82e6f069dbf02c5585354145ee679870350a0c8daf5958b6b8d54ca5c4efc313%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2567983857&rft_id=info:pmid/&rfr_iscdi=true