Kernel Smoothing for Nested Estimation with Application to Portfolio Risk Measurement.
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| Title: | Kernel Smoothing for Nested Estimation with Application to Portfolio Risk Measurement. |
|---|---|
| Authors: | Hong, L. Jeff1 jeffhong@cityu.edu.hk, Juneja, Sandeep2 juneja@tifr.res.in, Guangwu Liu3 msgw.liu@cityu.edu.hk |
| Source: | Operations Research. May-Jun2017, Vol. 65 Issue 3, p657-673. 17p. |
| Database: | Business Source Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Kernel Smoothing for Nested Estimation with Application to Portfolio Risk Measurement. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hong%2C+L%2E+Jeff%22">Hong, L. Jeff</searchLink><relatesTo>1</relatesTo><i> jeffhong@cityu.edu.hk</i><br /><searchLink fieldCode="AR" term="%22Juneja%2C+Sandeep%22">Juneja, Sandeep</searchLink><relatesTo>2</relatesTo><i> juneja@tifr.res.in</i><br /><searchLink fieldCode="AR" term="%22Guangwu+Liu%22">Guangwu Liu</searchLink><relatesTo>3</relatesTo><i> msgw.liu@cityu.edu.hk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Operations+Research%22">Operations Research</searchLink>. May-Jun2017, Vol. 65 Issue 3, p657-673. 17p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=127895670 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1287/opre.2017.1591 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 657 Titles: – TitleFull: Kernel Smoothing for Nested Estimation with Application to Portfolio Risk Measurement. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hong, L. Jeff – PersonEntity: Name: NameFull: Juneja, Sandeep – PersonEntity: Name: NameFull: Guangwu Liu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May-Jun2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 0030364X Numbering: – Type: volume Value: 65 – Type: issue Value: 3 Titles: – TitleFull: Operations Research Type: main |
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