IDEAS home Printed from https://ideas.repec.org/p/mar/magkse/201928.html
   My bibliography  Save this paper

Risk, Asset Pricing and Monetary Policy Transmission in Europe: Evidence from a Threshold-VAR approach

Author

Listed:
  • Joerg Schmidt

    (Justus-Liebig-University Giessen)

Abstract

This paper investigates in how far monetary policy shocks impact European asset markets, conditional on different risk states. It focuses on four different asset classes: equity of industrial firms, equity of banks, high-grade corporate bonds, and high-yielding corporate bonds. We distinguish between macroeconomic risk, political risk, and financial risk. In a first step, we separately extract three factors via principal component analysis from a set of candidate variables that are assumed to be driven by these latent types of risk. Next, these factors augment a threshold-VAR model that contains assets and a short-rate. Our model is estimated with Bayesian techniques and identified recursively. We illustrate that during periods of severe crisis, different risk regimes coincide. This impedes a clear delimitation among these three types of risk. Further on, impulse responses show that we indeed see state-dependency in the reaction of asset prices to monetary policy shocks. AA-rated corporate bond yields only show minor state-dependency if we distinguish between states of high and macroeconomic or financial risk, but show very pronounced state-dependency for political risk. Their sensitivity to monetary policy shocks is highest if political risk is . Non-investment-grade corporate bond yields as well as equity of industrial firms face the strongest state-dependency when we differentiate between macroeconomic or financial risk. If these risks are high, junk bond yields are very sensitive to monetary policy shocks while the opposite holds for equity of industrial corporations. Surprisingly, financial equity in general reacts positively or insignificant to hikes in short-rates. The positive reaction is most pronounced for states of high financial risk. As a consequence, monetary policy transmission via distinct asset markets highly depends on the degree of these different kinds of risk inherent in European asset markets. This also has strong implications for investors: they have to be aware of this varying degree of sensitivity of asset prices to changes in policy rates as they highly depend on the respective prevailing risk-regime.

Suggested Citation

  • Joerg Schmidt, 2019. "Risk, Asset Pricing and Monetary Policy Transmission in Europe: Evidence from a Threshold-VAR approach," MAGKS Papers on Economics 201928, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  • Handle: RePEc:mar:magkse:201928
    as

    Download full text from publisher

    File URL: http://www.uni-marburg.de/fb02/makro/forschung/magkspapers/paper_2019/28-2019_schmidt.pdf
    File Function: First 201928
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alan J. Auerbach & Yuriy Gorodnichenko, 2012. "Measuring the Output Responses to Fiscal Policy," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 1-27, May.
    2. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "Time‐Varying Risk Premium in Large Cross‐Sectional Equity Data Sets," Econometrica, Econometric Society, vol. 84, pages 985-1046, May.
    3. Claessens, Stijn & Coleman, Nicholas & Donnelly, Michael, 2018. "“Low-For-Long” interest rates and banks’ interest margins and profitability: Cross-country evidence," Journal of Financial Intermediation, Elsevier, vol. 35(PA), pages 1-16.
    4. Silvana Tenreyro & Gregory Thwaites, 2016. "Pushing on a String: US Monetary Policy Is Less Powerful in Recessions," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(4), pages 43-74, October.
    5. Koop, Gary & Korobilis, Dimitris, 2014. "A new index of financial conditions," European Economic Review, Elsevier, vol. 71(C), pages 101-116.
    6. Garcia-de-Andoain, Carlos & Kremer, Manfred, 2017. "Beyond spreads: Measuring sovereign market stress in the euro area," Economics Letters, Elsevier, vol. 159(C), pages 153-156.
    7. Lars Peter Hansen, 2013. "Challenges in Identifying and Measuring Systemic Risk," NBER Chapters, in: Risk Topography: Systemic Risk and Macro Modeling, pages 15-30, National Bureau of Economic Research, Inc.
    8. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    9. Shiu‐Sheng Chen, 2007. "Does Monetary Policy Have Asymmetric Effects on Stock Returns?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 667-688, March.
    10. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    11. Beirne, John, 2012. "The EONIA spread before and during the crisis of 2007–2009: The role of liquidity and credit risk," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 534-551.
    12. Ampudia, Miguel & Heuvel, Skander Van den, 2018. "Monetary policy and bank equity values in a time of low interest rates," Working Paper Series 2199, European Central Bank.
    13. Aizenman, Joshua & Hutchison, Michael & Jinjarak, Yothin, 2013. "What is the risk of European sovereign debt defaults? Fiscal space, CDS spreads and market pricing of risk," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 37-59.
    14. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575, October.
    15. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    16. Lars Peter Hansen, 2013. "Challenges in Identifying and Measuring Systemic Risk," NBER Chapters, in: Risk Topography: Systemic Risk and Macro Modeling, pages 15-30, National Bureau of Economic Research, Inc.
    17. Jansen, Dennis W. & Tsai, Chun-Li, 2010. "Monetary policy and stock returns: Financing constraints and asymmetries in bull and bear markets," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 981-990, December.
    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. Schmidt, Jörg, 2020. "Risk, asset pricing and monetary policy transmission in Europe: Evidence from a threshold-VAR approach," Journal of International Money and Finance, Elsevier, vol. 109(C).
    2. Nadav Ben Zeev, 2019. "Is There A Single Shock That Drives The Majority Of Business Cycle Fluctuations?," Working Papers 1906, Ben-Gurion University of the Negev, Department of Economics.
    3. Ana Beatriz Galvão & Michael T. Owyang, 2018. "Financial Stress Regimes and the Macroeconomy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1479-1505, October.
    4. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2014. "Uncertainty and Monetary Policy in Good and Bad Times," "Marco Fanno" Working Papers 0188, Dipartimento di Scienze Economiche "Marco Fanno".
    5. Velasco, Sofia, 2024. "Asymmetries in the transmission of monetary policy shocks over the business cycle: a Bayesian Quantile Factor Augmented VAR," Working Paper Series 2983, European Central Bank.
    6. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    7. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2023. "Monetary policy, external instruments, and heteroskedasticity," Quantitative Economics, Econometric Society, vol. 14(1), pages 161-200, January.
    8. Zidong An & Salem Abo‐Zaid & Xuguang Simon Sheng, 2023. "Inattention and the impact of monetary policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 623-643, June.
    9. Karin Klieber, 2023. "Non-linear dimension reduction in factor-augmented vector autoregressions," Papers 2309.04821, arXiv.org.
    10. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2018. "Factor-Driven Two-Regime Regression," Papers 1810.11109, arXiv.org, revised Sep 2020.
    11. Hauzenberger, Niko & Pfarrhofer, Michael & Stelzer, Anna, 2021. "On the effectiveness of the European Central Bank’s conventional and unconventional policies under uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 822-845.
    12. Martin Bruns & Michele Piffer, 2021. "Monetary policy shocks over the business cycle: Extending the Smooth Transition framework," University of East Anglia School of Economics Working Paper Series 2021-07, School of Economics, University of East Anglia, Norwich, UK..
    13. Herwartz, Helmut & Rohloff, Hannes, 2018. "Less bang for the buck? Assessing the role of inflation uncertainty for U.S. monetary policy transmission in a data rich environment," University of Göttingen Working Papers in Economics 358, University of Goettingen, Department of Economics.
    14. De Santis, Roberto A. & Tornese, Tommaso, 2024. "US monetary policy is more powerful in low economic growth regimes," Working Paper Series 2919, European Central Bank.
    15. Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    16. Salzmann, Leonard, 2020. "The Impact of Uncertainty and Financial Shocks in Recessions and Booms," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224588, Verein für Socialpolitik / German Economic Association.
    17. Metiu, Norbert, 2021. "Anticipation effects of protectionist U.S. trade policies," Journal of International Economics, Elsevier, vol. 133(C).
    18. Geert Bekaert & Eric C. Engstrom & Nancy R. Xu, 2022. "The Time Variation in Risk Appetite and Uncertainty," Management Science, INFORMS, vol. 68(6), pages 3975-4004, June.
    19. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    20. Miyazaki, Tomomi & Hiraga, Kazuki & Kozuka, Masafumi, 2024. "Stock market response to public investment under the zero lower bound: Cross-industry evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 71(C).

    More about this item

    Keywords

    state-dependency; asset pricing; monetary policy;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:mar:magkse:201928. 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: Bernd Hayo (email available below). General contact details of provider: https://edirc.repec.org/data/vamarde.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.