Author: Fung-Shine Pan
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
The Pricing of GNMA Mortgage-backed Securities and Futures Contracts
Author: Fung-Shine Pan
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Mortgage-backed Securities
Author: Frank J. Fabozzi
Publisher: Irwin Professional Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 506
Book Description
Publisher: Irwin Professional Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 506
Book Description
Government National Mortgage Association GNMA I
Author: United States. Department of Housing and Urban Development
Publisher:
ISBN:
Category : Mortgages
Languages : en
Pages : 736
Book Description
Publisher:
ISBN:
Category : Mortgages
Languages : en
Pages : 736
Book Description
Mortgage-backed Futures & Options
Author:
Publisher:
ISBN:
Category : Mortgage-backed securities
Languages : en
Pages : 146
Book Description
Publisher:
ISBN:
Category : Mortgage-backed securities
Languages : en
Pages : 146
Book Description
Hedging Gnma Mortgage-Backed Securities with T-Note Futures
Author: Gregory Koutmos
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
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.
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
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
Author: Fung-Shine Pan
Publisher:
ISBN:
Category : Mortgage banks
Languages : en
Pages : 294
Book Description
Publisher:
ISBN:
Category : Mortgage banks
Languages : en
Pages : 294
Book Description
The GNMA-guaranteed Passthrough Security
Author: David F. Seiders
Publisher:
ISBN:
Category : Banks and banking
Languages : en
Pages : 72
Book Description
Publisher:
ISBN:
Category : Banks and banking
Languages : en
Pages : 72
Book Description
Ginnie Mae Platinum Securities
Author:
Publisher:
ISBN:
Category : Government securities
Languages : en
Pages : 28
Book Description
Publisher:
ISBN:
Category : Government securities
Languages : en
Pages : 28
Book Description
Government National Mortgage Association Mortgage-backed Securities Guide
Author: United States. Department of Housing and Urban Development
Publisher:
ISBN:
Category : Mortgages
Languages : en
Pages : 420
Book Description
Publisher:
ISBN:
Category : Mortgages
Languages : en
Pages : 420
Book Description
A Comparison of Alternative Models for Pricing GNMA Mortgage-backed Securities
Author: Kenneth B. Dunn
Publisher:
ISBN:
Category :
Languages : en
Pages : 14
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 14
Book Description