IDEAS home Printed from https://ideas.repec.org/a/bpj/sndecm/v27y2023i2p237-264n1.html
   My bibliography  Save this article

Conservatorship, quantitative easing, and mortgage spreads: a new multi-equation score-driven model of policy actions

Author

Listed:
  • Blazsek Szabolcs

    (School of Business, Universidad Francisco Marroquín, Guatemala City, 01010, Guatemala)

  • Blazsek Virag

    (School of Law, University of Leeds, Leeds, LS2 9JT, UK)

  • Kobor Adam

    (Investment Office, New York University, New York NY, 10012, USA)

Abstract

In this paper, the effects of United States (US) policy actions on mortgage-backed security and mortgage loan spreads are measured, by using data before, during, and after the US subprime mortgage crisis. We study the effects of the following policy actions: (i) the placement of Fannie Mae and Freddie Mac into US Government conservatorship; (ii) the US Federal Reserve quantitative easing (QE) programs. We provide the following contributions to the literature: (i) for a robust measurement of policy effects, a new multi-equation score-driven t-QVARMA (quasi-vector autoregressive moving average) model is used. (ii) In addition to the measurement of the effects of QE, the effects of government conservatorship are also measured in this paper. (iii) Furthermore, the data period of the relevant literature is extended to the period of June 1998 to March 2020.

Suggested Citation

  • Blazsek Szabolcs & Blazsek Virag & Kobor Adam, 2023. "Conservatorship, quantitative easing, and mortgage spreads: a new multi-equation score-driven model of policy actions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(2), pages 237-264, April.
    • Handle: RePEc:bpj:sndecm:v:27:y:2023:i:2:p:237-264:n:1
    DOI: 10.1515/snde-2021-0066
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/snde-2021-0066
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/snde-2021-0066?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    dynamic conditional score (DCS); generalized autoregressive score (GAS); government conservatorship; government-sponsored enterprises (GSEs); mortgage-backed securities (MBSs); quantitative easing (QE) programs;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:sndecm:v:27:y:2023:i:2:p:237-264:n:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.