The Pricing of GNMA Mortgage-backed Securities and Futures Contracts

The Pricing of GNMA Mortgage-backed Securities and Futures Contracts PDF Author: Fung-Shine Pan
Publisher:
ISBN:
Category :
Languages : en
Pages :

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The Pricing of GNMA Mortgage-backed Securities and Futures Contracts

The Pricing of GNMA Mortgage-backed Securities and Futures Contracts PDF Author: Fung-Shine Pan
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Mortgage-backed Securities

Mortgage-backed Securities PDF Author: Frank J. Fabozzi
Publisher: Irwin Professional Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 506

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Government National Mortgage Association GNMA I

Government National Mortgage Association GNMA I PDF Author: United States. Department of Housing and Urban Development
Publisher:
ISBN:
Category : Mortgages
Languages : en
Pages : 736

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Mortgage-backed Futures & Options

Mortgage-backed Futures & Options PDF Author:
Publisher:
ISBN:
Category : Mortgage-backed securities
Languages : en
Pages : 146

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Hedging Gnma Mortgage-Backed Securities with T-Note Futures

Hedging Gnma Mortgage-Backed Securities with T-Note Futures PDF Author: Gregory Koutmos
Publisher:
ISBN:
Category :
Languages : en
Pages :

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This article proposes a dynamic hedging model for Government National Association Mortgage-Backed Securities (GNMA MBSs) that is free of the drawbacks associated with the static hedging strategies currently used. The simultaneity bias of the regression approach is dealt with by modeling the joint distribution of price changes of GNMA MBSs and 10-year Treasury-note futures. Error correction (EC) terms from cointegrating relationships are included in the conditional mean equations to preserve the long-term equilibrium relationship of the two markets. The time-varying variance-covariance structure of the two markets is modeled via a version of the bivariate generalized autoregressive conditionally heteroskedastic model (bivariante GARCH), which assures that the time-varying variance-covariance matrix is positive semidefinite for all time periods. This dynamic error-correction GARCH model is estimated using daily data on six different coupon GNMA MBSs. Dynamic cross-hedge ratios are obtained from the time-varying variance-covariance matrix using the 10-year Treasury-note futures contract as the hedging instrument. These ratios are evaluated in terms of both overall risk reduction and expected utility maximization. There is overwhelming evidence that dynamic hedge ratios are superior to static ones even when transaction costs are incorporated into the analysis. This conclusion holds for all six different coupon GNMA MBSs under investigation.

The Pricing of GNMA Mortgage-backed Securities and Futures Contracts

The Pricing of GNMA Mortgage-backed Securities and Futures Contracts PDF Author: Fung-Shine Pan
Publisher:
ISBN:
Category : Mortgage banks
Languages : en
Pages : 294

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The GNMA-guaranteed Passthrough Security

The GNMA-guaranteed Passthrough Security PDF Author: David F. Seiders
Publisher:
ISBN:
Category : Banks and banking
Languages : en
Pages : 72

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Ginnie Mae Platinum Securities

Ginnie Mae Platinum Securities PDF Author:
Publisher:
ISBN:
Category : Government securities
Languages : en
Pages : 28

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Government National Mortgage Association Mortgage-backed Securities Guide

Government National Mortgage Association Mortgage-backed Securities Guide PDF Author: United States. Department of Housing and Urban Development
Publisher:
ISBN:
Category : Mortgages
Languages : en
Pages : 420

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A Comparison of Alternative Models for Pricing GNMA Mortgage-backed Securities

A Comparison of Alternative Models for Pricing GNMA Mortgage-backed Securities PDF Author: Kenneth B. Dunn
Publisher:
ISBN:
Category :
Languages : en
Pages : 14

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