IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

The Original Operation Twist: The War Finance Corporation's War Bond Purchase, 1918-1920

Listed author(s):
  • James L. Butkiewicz

    ()

    (Department of Economics, University of Delaware)

  • Mihaela Solcan

    ()

    (Department of Economics, University of Delaware)

In 1918 the United States Treasury delegated to the War Finance Corporation, a newly-created off-budget federal agency, the task of buying Liberty and later victory bonds in an effort to stabilize prices. Bayesian vector autoregression analysis of the bond purchase indicate that the WFC purchase provided significant price support, and lowered bond yields while the program operated. Once WFC purchase ended, war bond yields increased substantially. However, since the war bond purchases were financed by the sale of short-term debt certificates, the bond purchases increased short rates while reducing long rates. The WFC’s bond purchases twisted the yield curve.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://graduate.lerner.udel.edu/sites/default/files/ECON/PDFs/RePEc/dlw/WorkingPapers/2012/UDWF-2012-13.pdf
Download Restriction: no

Paper provided by University of Delaware, Department of Economics in its series Working Papers with number 12-13.

as
in new window

Length: 44 pages
Date of creation: 2012
Handle: RePEc:dlw:wpaper:12-13.
Contact details of provider: Postal:
Purnell Hall, Newark, Delaware 19716

Phone: (302) 831-2565
Fax: (302) 831-6968
Web page: http://lerner.udel.edu/departments/economics/department-economics/

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Stefania D’Amico & William English & David López‐Salido & Edward Nelson, 2012. "The Federal Reserve's Large‐scale Asset Purchase Programmes: Rationale and Effects," Economic Journal, Royal Economic Society, vol. 122(564), pages 415-446, November.
  2. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  3. repec:ucp:bkecon:9780226519999 is not listed on IDEAS
  4. Dimitri Vayanos & Jean-Luc Vila, 2009. "A preferred-habitat model of the term structure of interest rates," LSE Research Online Documents on Economics 29308, London School of Economics and Political Science, LSE Library.
  5. Eric T. Swanson, 2011. "Let's Twist Again: A High-Frequency Event-study Analysis of Operation Twist and Its Implications for QE2," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(1 (Spring), pages 151-207.
  6. Waggoner, Daniel F. & Zha, Tao, 2003. "A Gibbs sampler for structural vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 349-366, November.
  7. Christopher A. Sims & Tao Zha, 1999. "Error Bands for Impulse Responses," Econometrica, Econometric Society, vol. 67(5), pages 1113-1156, September.
  8. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
  9. Sung Won Kang & Hugh Rockoff, 2006. "Capitalizing Patriotism: The Liberty Loans of World War I," NBER Working Papers 11919, National Bureau of Economic Research, Inc.
  10. Brandt, Patrick T. & Freeman, John R., 2009. "Modeling Macro-Political Dynamics," Political Analysis, Cambridge University Press, vol. 17(02), pages 113-142, March.
  11. Franco Modigliani & Richard Sutch, 1967. "Debt Management and the Term Structure of Interest Rates: An Empirical Analysis of Recent Experience," Journal of Political Economy, University of Chicago Press, vol. 75, pages 569-569.
  12. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
  13. Kang, Sung Won & Rockoff, Hugh, 2015. "Capitalizing patriotism: the Liberty loans of World War I," Financial History Review, Cambridge University Press, vol. 22(01), pages 45-78, April.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:dlw:wpaper:12-13.. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Saul Hoffman)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.