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Massachusetts Institute of Technology

Creating custom ETFs and exploring performance versus peers and the iBoxx index

Abstract

dc:description.abstract

The global financial crisis and following bond buyback actions and quantitative easing announcements by the ECB have led to strong demand for fixed income investments, particularly in Europe. This has increased demand for both active and passive fixed income funds. In this thesis, I review the Markit EUR Corporate Index, iShares (a passive index tracker fund) and several actively managed European investment grade-focused commercial bond funds. I propose new custom bond funds based on quantitative strategies using the bond constituents of Markit iBoxx index. I then compare the performance of these custom bond funds with the benchmark Markit EUR Corporate index, the passive tracker fund and the active bond funds. I highlight the strength of simple strategies which often perform at least as well as the index and the active bond funds.

Degree

thesis:*
Department dc:contributor.department
Sloan School of Management.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Khattar, Vineet
Advisor dc:contributor.advisor
  • Deborah Lucas.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/104521
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/104521

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Khattar, Vineet. Creating custom ETFs and exploring performance versus peers and the iBoxx index. Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104521