IDEAS home Printed from https://ideas.repec.org/p/onb/oenbwp/233.html
   My bibliography  Save this paper

A View from Outside: Sovereign CDS Volatility as an Indicator of Economic Uncertainty (Maximilian Böck, Martin Feldkircher, Burkhard Raunig)

Author

Listed:

Abstract

No abstract is available for this item.

Suggested Citation

  • Maximilian Böck & Martin Feldkircher & Burkhard Raunig, 2021. "A View from Outside: Sovereign CDS Volatility as an Indicator of Economic Uncertainty (Maximilian Böck, Martin Feldkircher, Burkhard Raunig)," Working Papers 233, Oesterreichische Nationalbank (Austrian Central Bank).
    • Handle: RePEc:onb:oenbwp:233
    as

    Download full text from publisher

    File URL: https://www.oenb.at/dam/jcr:94e0afb8-aeec-4b34-acce-710f7be00399/Working_Paper_233.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vogel, Heinz-Dieter & Bannier, Christina E. & Heidorn, Thomas, 2013. "Functions and characteristics of corporate and sovereign CDS," Frankfurt School - Working Paper Series 203, Frankfurt School of Finance and Management.
    2. Dieppe, Alistair & van Roye, Björn & Legrand, Romain, 2016. "The BEAR toolbox," Working Paper Series 1934, European Central Bank.
    3. Florian Huber & Martin Feldkircher, 2019. "Adaptive Shrinkage in Bayesian Vector Autoregressive Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 27-39, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian Vector Autoregressions," The Warwick Economics Research Paper Series (TWERPS) 1159, University of Warwick, Department of Economics.
    2. Dimitrios P. Louzis, 2019. "Steady‐state modeling and macroeconomic forecasting quality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 285-314, March.
    3. Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
    4. repec:hal:spmain:info:hdl:2441/27od5pb99881folvtfs8s3k16l is not listed on IDEAS
    5. Angelica Gianfreda & Francesco Ravazzolo & Luca Rossini, 2023. "Large Time‐Varying Volatility Models for Hourly Electricity Prices," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 545-573, June.
    6. Niko Hauzenberger & Florian Huber & Massimiliano Marcellino & Nico Petz, 2021. "Gaussian Process Vector Autoregressions and Macroeconomic Uncertainty," Papers 2112.01995, arXiv.org, revised Nov 2022.
    7. Deborah Gefang & Gary Koop & Aubrey Poon, 2019. "Variational Bayesian Inference in Large Vector Autoregressions with Hierarchical Shrinkage," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-07, Economic Statistics Centre of Excellence (ESCoE).
    8. Manfred M. Fischer & Florian Huber & Michael Pfarrhofer & Petra Staufer‐Steinnocher, 2021. "The Dynamic Impact of Monetary Policy on Regional Housing Prices in the United States," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1039-1068, December.
    9. Grzegorz Wesołowski, 2021. "Monetary Policy and House Price Volatility," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(4), pages 359-379, December.
    10. Maximilian Böck & Martin Feldkircher & Florian Huber, 2020. "BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R," Globalization Institute Working Papers 395, Federal Reserve Bank of Dallas.
    11. Andrejs Zlobins, 2020. "Country-level effects of the ECB’s expanded asset purchase programme," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 20(2), pages 187-217.
    12. Luca Onorante & Matija Lozej & Ansgar Rannenberg, 2017. "Countercyclical capital regulation in a small open economy DSGE model," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data needs and Statistics compilation for macroprudential analysis, volume 46, Bank for International Settlements.
    13. Santiago Camara, 2021. "Spillovers of US Interest Rates: Monetary Policy & Information Effects," Papers 2111.08631, arXiv.org, revised Feb 2023.
    14. Georgiadis, Georgios & Schumann, Ben, 2021. "Dominant-currency pricing and the global output spillovers from US dollar appreciation," Journal of International Economics, Elsevier, vol. 133(C).
    15. Kastner, Gregor, 2019. "Sparse Bayesian time-varying covariance estimation in many dimensions," Journal of Econometrics, Elsevier, vol. 210(1), pages 98-115.
    16. Christoph Kaufmann, 2023. "Investment Funds, Monetary Policy, and the Global Financial Cycle," Journal of the European Economic Association, European Economic Association, vol. 21(2), pages 593-636.
    17. Angelica Gianfreda & Francesco Ravazzolo & Luca Rossini, 2020. "Large Time-Varying Volatility Models for Electricity Prices," Working Papers No 05/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    18. Samuel F. Onipede & Nafiu A. Bashir & Jamaladeen Abubakar, 2023. "Small open economies and external shocks: an application of Bayesian global vector autoregression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1673-1699, April.
    19. Martin Feldkircher & Nico Hauzenberger, 2019. "How useful are time-varying parameter models for forecasting economic growth in CESEE?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/19, pages 29-48.
    20. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    21. Gregor Kastner & Florian Huber, 2020. "Sparse Bayesian vector autoregressions in huge dimensions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1142-1165, November.

    More about this item

    Keywords

    Credit default swap; Directional forecasts; Economic policy uncertainty; Financial market volatility;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • E66 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General Outlook and Conditions
    • G18 - Financial Economics - - General Financial Markets - - - 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:onb:oenbwp:233. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Markus Knell (email available below). General contact details of provider: https://edirc.repec.org/data/oenbbat.html .

    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.