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Stochastic dominance: investment decision making under uncertainty

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Bibliographische Detailangaben
Beteilige Person:	Levy, Haim 1939- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham ; Heidelberg ; New York ; Dordrecht ; London Springer 2016
Ausgabe:	Third edition
Schlagwörter:	Finance Operations research Decision making Microeconomics Finance, general Operation Research/Decision Theory Entscheidungstheorie Stochastische Dominanz Investitionsentscheidung Finanzanalyse Entscheidung bei Unsicherheit Stochastischer Prozess
Links:	https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 https://doi.org/10.1007/978-3-319-21708-6 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634218&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634218&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	1 Online Ressource (XXII, 505 Seiten Illustrationen)
ISBN:	9783319217086
DOI:	10.1007/978-3-319-21708-6

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Datensatz im Suchindex

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adam_text	STOCHASTIC DOMINANCE / LEVY, HAIM : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS RISK: IS THERE A UNIQUE OBJECTIVE MEASURE? EXPECTED UTILITY THEORY STOCHASTIC DOMINANCE DECISION RULES STOCHASTIC DOMINANCE: THE QUANTILE APPROACH ALGORITHMS FOR STOCHASTIC DOMINANCE STOCHASTIC DOMINANCE WITH SPECIFIC DISTRIBUTIONS ALMOST STOCHASTIC DOMINANCE (ASD) STOCHASTIC DOMINANCE AND RISK MEASURES STOCHASTIC DOMINANCE AND DIVERSIFICATION THE CAPM AND STOCHASTIC DOMINANCE THE EMPIRICAL STUDIES: DOMINANCE AND SIGNIFICANCE TESTS APPLICATIONS OF STOCHASTIC DOMINANCE RULES MEAN-VARIANCE, STOCHASTIC DOMINANCE AND THE INVESTMENT HORIZON STOCK VERSUS BONDS: A STOCHASTIC DOMINANCE APPROACH NON-EXPECTED UTILITY AND STOCHASTIC DOMINANCE STOCHASTIC DOMINANCE AND PROSPECT THEORY MULTIVARIATE UTILITY FUNCTIONS FUTURE RESEARCH DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. STOCHASTIC DOMINANCE / LEVY, HAIM : 2016 ABSTRACT / INHALTSTEXT THIS UPDATED 3RD EDITION IS DEVOTED TO THE ANALYSIS OF VARIOUS STOCHASTIC DOMINANCE (SD) DECISION RULES. IT DISCUSSES THE PROS AND CONS OF EACH OF THE ALTERNATE SD RULES, THE APPLICATION OF THESE RULES TO VARIOUS RESEARCH AREAS LIKE STATISTICS, AGRICULTURE, MEDICINE, MEASURING INCOME INEQUALITY AND THE POVERTY LEVEL IN VARIOUS COUNTRIES, AND OF COURSE, TO INVESTMENT DECISION-MAKING UNDER UNCERTAINTY. THE BOOK FEATURES CHANGES AND ADDITIONS TO THE CHAPTERS, AND ALSO INCLUDES TWO COMPLETELY NEW CHAPTERS. ONE DEALS WITH ASYMPTOTIC SD AND THE RELATION BETWEEN FSD AND THE MAXIMUM GEOMETRIC MEAN (MGM) RULE (OR THE MAXIMUM GROWTH PORTFOLIO). THE OTHER NEW CHAPTER DISCUSSES BIVARIATE SD RULES WHERE THE INDIVIDUAL’S UTILITY IS DETERMINED NOT ONLY BY HIS OWN WEALTH, BUT ALSO BY HIS STANDING RELATIVE TO HIS PEER GROUP. THE BOOK COVERS THE FOLLOWING BASIC ISSUES: THE SD APPROACH, ASYMPTOTIC SD RULES, THE MEAN-VARIANCE (MV) APPROACH, AS WELL AS THE NON-EXPECTED UTILITY APPROACH.THE NON-EXPECTED UTILITY APPROACH FOCUSES ON REGRET THEORY (RT) AND MAINLY ON PROSPECT THEORY (PT) AND ITS MODIFIED VERSION, CUMULATIVE PROSPECT THEORY (CPT) WHICH ASSUMES S-SHAPE PREFERENCES. IN ADDITION TO THESE ISSUES THE BOOK SUGGESTS A NEW STOCHASTIC DOMINANCE RULE CALLED THE MARKOWITZ STOCHASTIC DOMINANCE (MSD) RULE CORRESPONDING TO ALL REVERSE-S-SHAPE PREFERENCES. IT ALSO DISCUSSES THE CONCEPT OF THE MULTIVARIATE EXPECTED UTILITY AND ANALYZED IN MORE DETAIL THE BIVARIATE EXPECTED UTILITY CASE. “IN THIS BOOK, PROF. LEVY PRESENTS HIS IN-DEPTH INSIGHTS ON A WIDE RANGE OF SD-RELATED TOPICS SUCH AS THE MV APPROACH, ALMOST MV RULE, CAPM STATISTICS, THE BIVARIATE AND MULTIVARIATE EXPECTED UTILITY, AND DIVERSIFICATION. HE ALSO FORMULATES THE SD RULES IN TERMS OF DISTRIBUTION QUANTILES SO THAT HE CAN EXTEND THE SD THEORIES TO ANALYZE RISKLESS ASSETS, DISCUSS SOME OPEN PROBLEMS IN SD, AND ILLUSTRATE THE APPLICATIONS OF SD IN DIFFERENT AREAS.AS SUCH, RESEARCHERS WHO WOULD LIKE TO UNDERSTAND THE SD THEORIES SYSTEMATICALLY WILL FIND THIS BOOK A VALUABLE REFERENCE WHILE PRACTITIONERS WILL LEARN A LOT ON HOW SD THEORIES CAN BE APPLIED IN REAL LIFE PROBLEMS.” -WONG WING KEUNG, HONG KONG BAPTIST UNIVERSITY “THIS BOOK IS A STANDARD REFERENCE FOR SCHOLARS AND PRACTITIONERS IN FINANCE AND ECONOMICS. RECENT YEARS HAVE WITNESSED IMPORTANT PROGRESS IN THEORY AND METHODS FOR APPLYING HAIM LEVY’S BRAIN CHILD TO PORTFOLIO MANAGEMENT AND ASSET PRICING. I AM THRILLED BY THE BRILLIANT SYNTHESIS AND PERSPECTIVES OFFERED IN THIS BOOK. STANDING ON HAIM’S SHOULDERS, THE READER WILL DISCOVER A WEALTH OF NEW ACADEMIC AND COMMERCIAL APPLICATIONS. A MUST-READ.” -THIERRY POST, KOC UNIVERSITY DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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id	DE-604.BV043211076
illustrated	Illustrated
indexdate	2024-12-20T17:31:16Z
institution	BVB
isbn	9783319217086
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-028634218
oclc_num	941872251
open_access_boolean
owner	DE-523 DE-2070s DE-1043 DE-Aug4 DE-573 DE-1049 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-92 DE-824 DE-739 DE-83 DE-634 DE-898 DE-BY-UBR DE-M347 DE-861 DE-706
owner_facet	DE-523 DE-2070s DE-1043 DE-Aug4 DE-573 DE-1049 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-92 DE-824 DE-739 DE-83 DE-634 DE-898 DE-BY-UBR DE-M347 DE-861 DE-706
physical	1 Online Ressource (XXII, 505 Seiten Illustrationen)
psigel	ZDB-2-ECF ZDB-2-ECF_2016
publishDate	2016
publishDateSearch	2016
publishDateSort	2016
publisher	Springer
record_format	marc
spellingShingle	Levy, Haim 1939- Stochastic dominance investment decision making under uncertainty Finance Operations research Decision making Microeconomics Finance, general Operation Research/Decision Theory Entscheidungstheorie (DE-588)4138606-1 gnd Stochastische Dominanz (DE-588)4219516-0 gnd Investitionsentscheidung (DE-588)4162244-3 gnd Finanzanalyse (DE-588)4133000-6 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd Stochastischer Prozess (DE-588)4057630-9 gnd
subject_GND	(DE-588)4138606-1 (DE-588)4219516-0 (DE-588)4162244-3 (DE-588)4133000-6 (DE-588)4070864-0 (DE-588)4057630-9
title	Stochastic dominance investment decision making under uncertainty
title_auth	Stochastic dominance investment decision making under uncertainty
title_exact_search	Stochastic dominance investment decision making under uncertainty
title_full	Stochastic dominance investment decision making under uncertainty Haim Levy
title_fullStr	Stochastic dominance investment decision making under uncertainty Haim Levy
title_full_unstemmed	Stochastic dominance investment decision making under uncertainty Haim Levy
title_short	Stochastic dominance
title_sort	stochastic dominance investment decision making under uncertainty
title_sub	investment decision making under uncertainty
topic	Finance Operations research Decision making Microeconomics Finance, general Operation Research/Decision Theory Entscheidungstheorie (DE-588)4138606-1 gnd Stochastische Dominanz (DE-588)4219516-0 gnd Investitionsentscheidung (DE-588)4162244-3 gnd Finanzanalyse (DE-588)4133000-6 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd Stochastischer Prozess (DE-588)4057630-9 gnd
topic_facet	Finance Operations research Decision making Microeconomics Finance, general Operation Research/Decision Theory Entscheidungstheorie Stochastische Dominanz Investitionsentscheidung Finanzanalyse Entscheidung bei Unsicherheit Stochastischer Prozess
url	https://doi.org/10.1007/978-3-319-21708-6 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634218&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634218&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT levyhaim stochasticdominanceinvestmentdecisionmakingunderuncertainty

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