2026-09-18T21:59:08Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/420372026-06-06T01:05:40Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David Geltner.
Chirathivat, Juthatham Bo
Massachusetts Institute of Technology. Dept. of Architecture.
Massachusetts Institute of Technology. Department of Architecture
2008-09-02T17:52:47Z
2008-09-02T17:52:47Z
2007
2007
http://hdl.handle.net/1721.1/42037
228657056
Thesis (S.M. in Real Estate Development)--Massachusetts Institute of Technology, Dept. of Architecture, 2007.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 75-76).
By isolating credit as a distinct asset class, credit derivatives provide new vehicles for synthetically trading and transferring credit exposure of commercial real estate without buying or selling the physical assets. Recent developments of CMBS index-based synthetics, namely the CMBX, have allowed systematic market exposure to a basket of CMBS credit default swaps. The creation of these credit derivatives indices has enabled market participants to trade rating-specific risk, hedge against market-wide credit risk, and express a macro view within the CMBS sector. This thesis identifies the key underlying source of credit default risk as the commercial real estate market itself, and explores the concept of a CMBS default risk synthetic that is based on transaction-based commercial property price index movements. Such indices would allow investors to more precisely target and hedge the particular risk in their CMBS portfolios that is exposed to specific commercial real estate markets tracked by the indices. The thesis proposes a methodology for the new synthetic product to approximately replicate the credit loss behavior of specific rated tranches of a CMBS. This thesis utilizes Monte Carlo simulation to test the hedging performance of the proposed property price index-based synthetic, considering both cash flow correlation and hedge ratio analyses. The results reveal that the effectiveness of the hedge varies depending on the investor's horizon or degree of temporal precision the investor seeks in the hedge, as well as the target tranche rating. The hedge ratio is very dynamic throughout the life of the synthetic, suggesting that the investor buying the synthetic for hedging purposes would need to rebalance his position accordingly.
(cont.) The author believe that the possibility of utilizing commercial property price indices to structure equity index-based credit derivatives, as demonstrated by methodologies in this thesis, will enhance investment and risk management strategies for CMBS investors, facilitating access to the breadth and depth of existing real estate equity indices. Further pioneering efforts in the development of credit derivatives will be a catalyst for a tremendous growth in the CMBS market.
by Juthatham Bo Chirathivat.
S.M. in Real Estate Development
76 p.
eng
Massachusetts Institute of Technology
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
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http://dspace.mit.edu/handle/1721.1/7582
Architecture.
Developing a new CMBS hedging tool : a property price index-based synthetic
Developing a new Commercial Mortgage-Backed Securities hedging tool : a property price index-based synthetic
Thesis
application/pdf
Publication
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<Abstract>By isolating credit as a distinct asset class, credit derivatives provide new vehicles for synthetically trading and transferring credit exposure of commercial real estate without buying or selling the physical assets. Recent developments of CMBS index-based synthetics, namely the CMBX, have allowed systematic market exposure to a basket of CMBS credit default swaps. The creation of these credit derivatives indices has enabled market participants to trade rating-specific risk, hedge against market-wide credit risk, and express a macro view within the CMBS sector. This thesis identifies the key underlying source of credit default risk as the commercial real estate market itself, and explores the concept of a CMBS default risk synthetic that is based on transaction-based commercial property price index movements. Such indices would allow investors to more precisely target and hedge the particular risk in their CMBS portfolios that is exposed to specific commercial real estate markets tracked by the indices. The thesis proposes a methodology for the new synthetic product to approximately replicate the credit loss behavior of specific rated tranches of a CMBS. This thesis utilizes Monte Carlo simulation to test the hedging performance of the proposed property price index-based synthetic, considering both cash flow correlation and hedge ratio analyses. The results reveal that the effectiveness of the hedge varies depending on the investor's horizon or degree of temporal precision the investor seeks in the hedge, as well as the target tranche rating. The hedge ratio is very dynamic throughout the life of the synthetic, suggesting that the investor buying the synthetic for hedging purposes would need to rebalance his position accordingly.</Abstract>
<Abstract>(cont.) The author believe that the possibility of utilizing commercial property price indices to structure equity index-based credit derivatives, as demonstrated by methodologies in this thesis, will enhance investment and risk management strategies for CMBS investors, facilitating access to the breadth and depth of existing real estate equity indices. Further pioneering efforts in the development of credit derivatives will be a catalyst for a tremendous growth in the CMBS market.</Abstract>
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