Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/368836
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dc.coverage.spatialBusiness Finance
dc.date.accessioned2022-03-17T05:57:17Z-
dc.date.available2022-03-17T05:57:17Z-
dc.identifier.urihttp://hdl.handle.net/10603/368836-
dc.description.abstractThe study examines the temporal periodicity and sensitivity of the Indian stock market returns. The variance analysis and GARCH analysis of the Indian stock market shows that does the Indian stock market returns do not follow a random walk nor is it insensitive to market movement. Further, by employing the ARDL model, a comparative analysis of the pre- and post-financial crisis period highlights the impact of significant macroeconomic variable (crude oil, interest rate and inflation) on the stock market returns. The interpretation of the temporal periodicity and macroeconomic analysis, led to the formation of optimal portfolio based on the Black-Litterman model, which was compared with CVaR values. The secondary analysis highlights the importance of inclusion of investor s opinion for portfolio optimization. In this regard, the primary analysis on professional biases shows that even the investment advisors are affected by behavioural biases, which in turn impacts the investment decision made by them. newline
dc.format.extentxii, 416p.
dc.languageEnglish
dc.relation-
dc.rightsuniversity
dc.titlePortfolio optimisation risk management and professional bias an empirical analysis of the Indian stock market
dc.title.alternative
dc.creator.researcherChopra, Nikita
dc.subject.keywordBehavioural finance
dc.subject.keywordFinance
dc.subject.keywordPortfolio optimisation
dc.subject.keywordRisk management
dc.subject.keywordStock market
dc.description.noteBibliography 350-416p.
dc.contributor.guideGill, Suveera
dc.publisher.placeChandigarh
dc.publisher.universityPanjab University
dc.publisher.institutionUniversity Business School
dc.date.registered2016
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions-
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:University Business School

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01_title.pdfAttached File8.39 kBAdobe PDFView/Open
02_correction certificate.pdf350 kBAdobe PDFView/Open
03_acknowledgement.pdf35.28 kBAdobe PDFView/Open
04_contents.pdf171.47 kBAdobe PDFView/Open
05_list of tables.pdf102.91 kBAdobe PDFView/Open
06_list of figures.pdf32.07 kBAdobe PDFView/Open
07_acronyms.pdf61.73 kBAdobe PDFView/Open
08_executive summary.pdf109.88 kBAdobe PDFView/Open
09_chapter 1.pdf220.78 kBAdobe PDFView/Open
10_chapter 2.pdf443.52 kBAdobe PDFView/Open
11_chapter 3.pdf583.94 kBAdobe PDFView/Open
12_chapter 4.pdf672.52 kBAdobe PDFView/Open
13_chapter 5.pdf625.38 kBAdobe PDFView/Open
14_chapter 6.pdf596.36 kBAdobe PDFView/Open
15_chapter 7.pdf781.52 kBAdobe PDFView/Open
16_chapter 8.pdf542.1 kBAdobe PDFView/Open
17_summary.pdf314.08 kBAdobe PDFView/Open
18_bibliography.pdf481.86 kBAdobe PDFView/Open
19_appendix.pdf654.55 kBAdobe PDFView/Open
80_recommendation.pdf305.63 kBAdobe PDFView/Open


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