IDEAS home Printed from https://ideas.repec.org/a/ces/ifosdt/v72y2019i06p26-28.html
   My bibliography  Save this article

Zeitreihenanalyse zu den Target-Forderungen der Deutschen Bundesbank und mögliche Zusammenhänge mit der expansiven Geldpolitik der EZB

Author

Listed:
  • Nicole Storp
  • Tobias Kordsmeyer

Abstract

Nicole Storp und Tobias Kordsmeyer, Universität Göttingen, beschäftigen sich mit der dynamischen Entwicklung von Target-Salden der Deutschen Bundesbank. Im Zeitraum vom 1. Januar 1999 bis 31. Dezember 2018 stellen die Autoren drei starke Anstiege in den Target-Forderungen der Deutschen Bundesbank fest. Ihre Analyse zeigt, dass vermutlich die Turbulenzen auf dem europäischen Interbankenmarkt den ersten Anstieg verursacht haben, während die zwei weiterfolgenden Steigerungen durch die expansive Geldpolitik der Europäischen Zentralbank mitbegründet wurden.

Suggested Citation

  • Nicole Storp & Tobias Kordsmeyer, 2019. "Zeitreihenanalyse zu den Target-Forderungen der Deutschen Bundesbank und mögliche Zusammenhänge mit der expansiven Geldpolitik der EZB," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(06), pages 26-28, March.
  • Handle: RePEc:ces:ifosdt:v:72:y:2019:i:06:p:26-28
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/sd-2019-06-storp-zeitreihenanalyse-target-2019-03-21.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2014. "Specification Sensitivity in Right-Tailed Unit Root Testing for Explosive Behaviour," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 315-333, June.
    2. Niklas Potrafke & Markus Reischmann, 2014. "Die Target-Forderungen der Deutschen Bundesbank: Eine Zeitreihenanalyse," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(14), pages 31-34, July.
    3. Hans-Werner Sinn, 2018. "Fast 1 000 Milliarden Target-Forderungen der Bundesbank: Was steckt dahinter?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(14), pages 26-37, July.
    4. Niklas Potrafke & Markus Reischmann, 2013. "Explosive Target Balances," CESifo Working Paper Series 4297, CESifo.
    5. Peter C. B. Phillips & Shu-Ping Shi & Jun Yu, 2011. "Specification Sensitivity in Right-Tailed Unit Root Testing for Explosive Behavior," Working Papers 15-2011, Singapore Management University, School of Economics.
    6. Potrafke, Niklas & Reischmann, Markus, 2014. "Explosive Target balances of the German Bundesbank," Economic Modelling, Elsevier, vol. 42(C), pages 439-444.
    7. Caspi, Itamar, 2013. "Rtadf: Testing for Bubbles with EViews," MPRA Paper 58791, University Library of Munich, Germany, revised 06 Sep 2014.
    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. Verena Monschang & Bernd Wilfling, 2021. "Sup-ADF-style bubble-detection methods under test," Empirical Economics, Springer, vol. 61(1), pages 145-172, July.
    2. Markus Reischmann, 2016. "Empirical Studies on Public Debt and Fiscal Transfers," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 63, April.
    3. Kruse, Robinson & Kaufmann, Hendrik & Wegener, Christoph, 2018. "Bias-corrected estimation for speculative bubbles in stock prices," Economic Modelling, Elsevier, vol. 73(C), pages 354-364.
    4. Steenkamp, Daan, 2018. "Explosiveness in G11 currencies," Economic Modelling, Elsevier, vol. 68(C), pages 388-408.
    5. Christie Smith & Aaron Kumar, 2018. "Crypto‐Currencies – An Introduction To Not‐So‐Funny Moneys," Journal of Economic Surveys, Wiley Blackwell, vol. 32(5), pages 1531-1559, December.
    6. KIRKPINAR, Aysegul & ERER, Elif & ERER, Deniz, 2019. "Is There A Rational Bubble In Bist 100 And Sector Indices?," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 23(3), pages 21-33, September.
    7. Lui, Yiu Lim & Phillips, Peter C.B. & Yu, Jun, 2024. "Robust testing for explosive behavior with strongly dependent errors," Journal of Econometrics, Elsevier, vol. 238(2).
    8. Peter C. B. Phillips & Shuping Shi, 2019. "Detecting Financial Collapse and Ballooning Sovereign Risk," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(6), pages 1336-1361, December.
    9. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1043-1078, November.
    10. Xi-Xi Zhang & Lu Liu & Chi-Wei Su & Ran Tao & Oana-Ramona Lobonţ & Nicoleta-Claudia Moldovan, 2019. "Bubbles in Agricultural Commodity Markets of China," Complexity, Hindawi, vol. 2019, pages 1-7, December.
    11. Funke, Michael & Tsang, Andrew & Zhu, Linxu, 2018. "Not all cities are alike: House price heterogeneity and the design of macro-prudential policies in China," BOFIT Discussion Papers 18/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    12. Su-Ling TSAI & Hsien-Hung KUNG & Kai-yin Allison HAGA, 2015. "Testing for Multiple Bubbles in the 35 Large and Medium Cities of Real Estate Price in China," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(605), W), pages 275-290, Winter.
    13. Sinn Hans-Werner, 2019. "Der Streit um die Targetsalden : Kommentar zu Martin Hellwigs Artikel „Target-Falle oder Empörungsfalle?“," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 20(3), pages 170-217, September.
    14. Zhao, Yanping & Chang, Hsu-Ling & Su, Chi-Wei & Nian, Rui, 2015. "Gold bubbles: When are they most likely to occur?," Japan and the World Economy, Elsevier, vol. 34, pages 17-23.
    15. Gomis-Porqueras, Pedro & Shi, Shuping & Tan, David, 2022. "Gold as a financial instrument," Journal of Commodity Markets, Elsevier, vol. 27(C).
    16. Adam Goliński & Peter Spencer, 2021. "Modeling the Covid‐19 epidemic using time series econometrics," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2808-2828, November.
    17. Peter C.B. Phillips & Ye Chen, "undated". "Restricted Likelihood Ratio Tests in Predictive Regression," Cowles Foundation Discussion Papers 1968, Cowles Foundation for Research in Economics, Yale University.
    18. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1079-1134, November.
    19. Potrafke, Niklas & Reischmann, Markus, 2014. "Explosive Target balances of the German Bundesbank," Economic Modelling, Elsevier, vol. 42(C), pages 439-444.
    20. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2016. "Non-linearities in financial bubbles: Theory and Bayesian evidence from S&P500," Journal of Financial Stability, Elsevier, vol. 24(C), pages 61-70.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • 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

    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:ces:ifosdt:v:72:y:2019:i:06:p:26-28. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/ifooode.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.