Skip to main content

The Impact of the Hungarian Retail Debt Program

An Estimation of the Past and Future Effects of the Retail Sector on Hungarian Public Debt

  • Conference paper
  • First Online:
Theory and Applications of Time Series Analysis and Forecasting (ITISE 2021)

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

Included in the following conference series:

  • 487 Accesses

Abstract

This paper presents an analysis of both the past and future of the Hungarian retail debt program from a cost-risk standpoint. A quarter of the Hungarian central government debt is held through retail securities. From purely a nominal coupon point of view and analyzed in isolation, retail debt seems to be a comparatively more expensive form of funding. The paper has two goals. First, to estimate the historical cost of the retail debt program compared to alternative domestic sources of funding, taking portfolio effects and risks into account. Second, to simulate the future effects of retail debt based on security-level transaction data and a Vector Error Correction macroeconomic model in order to utilize quantitative tools for the perspective rethink of the retail debt strategy once the current strategic objectives are achieved in the near future.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Due to the success of MÁP+ in mid-2019, ÁKK modified its financing plan. The bids of primary dealers may have been higher without this modification, which is not reflected in the model. Furthermore, the November 2019 spike in IE is due to a large extra (simulated) issuance of 2016 maturing. In reality, a different maturity profile could have been constructed with a slightly longer maturity bond.

References

  1. Fuller, W.A.: Introduction to Statistical Time Series. Wiley (2009)

    Google Scholar 

  2. Akaike, H.: A new look at the statistical model identification. IEEE Trans. Autom. Control. 19, 716–723 (1974)

    Article  MathSciNet  MATH  Google Scholar 

  3. Schwarz, G., et al.: Estimating the dimension of a model. Ann. Stat. 6, 461–464 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  4. Juselius, K.: The Cointegrated VAR Model: Methodology and Applications. Oxford University Press (2006)

    MATH  Google Scholar 

  5. Phillips, P.C., Perron, P.: Testing for a unit root in time series regression. Biometrika. 75, 335–346 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  6. Johansen, S.: Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. Oxford University Press on Demand (1995)

    Book  MATH  Google Scholar 

  7. Box, G.E., Tiao, G.C.: Intervention analysis with applications to economic and environmental problems. J. Am. Stat. Assoc. 70, 70–79 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  8. Bebes, A., Tran, D., Bebesi, L.: Yield Curve Modeling with Macro Factors: An Implementation of the Kim Filter in a Two-Economy Markov Regime Switching State-Space Model. University of Granada (2018)

    Google Scholar 

  9. Bebes, A., Tran, D., Bebesi, L.: Optimizing the Hungarian Government Debt Portfolio. International Institute of Social and Economic Sciences (2018)

    Book  Google Scholar 

  10. Tran, D., Bebes, A.: How Should Public Debt Management Institutions Develop Medium-term Issuance Strategies? PDM Network (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to András Bebes .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Államadósság Kezelo Központ Zrt. (“ÁKK”)

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Biró, B., Tran, D., Stark, A., Bebes, A. (2023). The Impact of the Hungarian Retail Debt Program. In: Valenzuela, O., Rojas, F., Herrera, L.J., Pomares, H., Rojas, I. (eds) Theory and Applications of Time Series Analysis and Forecasting. ITISE 2021. Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-14197-3_12

Download citation

Publish with us

Policies and ethics