Skip to main content

Interaction Between the VaR of Cash Flow and the Interest Rate Using the ALM

  • Conference paper
  • First Online:
Innovations in Smart Cities and Applications (SCAMS 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 37))

Included in the following conference series:

  • 2050 Accesses

Abstract

In this paper, we propose an approach to study the impact of the interest rate on the risk of variation in cash flows measured by the value at risk (VaR) using stochastic processes and ALM technics.

This approach provides a decision-making tool for manage asset, liability funds to bankers insurers and all companies operating in the financial sector.

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Adam, A.: Handbook of Asset and Liability Management: From Models to Optimal Return Strategies. Wiley, Hoboken (2007)

    Google Scholar 

  2. Chang, H.: Dynamic mean-variance portfolio selection with liability and stochastic interest rate. Econ. Model. 51, 172–182 (2015)

    Article  Google Scholar 

  3. Zenios, S.A., Ziemba, W.: Handbook of Asset Liability Management, vol. 1, 1st edn, pp. 1689–1699. North Holland, Amsterdam (2015)

    Google Scholar 

  4. Dempster, M.A.H., Germano, M., Medova, E.A., Villaverde, M.: Global Asset Liability Management (2002)

    Google Scholar 

  5. Elhachloufi, M., Guennoun, Z., Hamza, F.: Stocks portfolio optimization using classification and genetic algorithms. Appl. Math. Sci. 6(94), 4673–4684 (2012)

    MATH  Google Scholar 

  6. Elhachloufi, M., Guennoun, Z., Hamza, F.: Minimizing risk measure semi-variance using neural networks and genetic algorithms. J. Comput. Optim. Econ. Financ. 4 (2012)

    Google Scholar 

  7. Elhachloufi, M., Guennoun, Z., Hamza, F.: Optimization of stocks portfolio using genetic algorithms and value at risk. Int. J. Math. Comput. 20(3) (2012)

    Google Scholar 

  8. Elhachloufi, M., Guennoun, Z., Hamza, F.: Optimization stock portfolio optimization using neural network and genetic algorithm. Int. Res. J. Financ. Econ. (104) (2013)

    Google Scholar 

  9. Jorion, P.: Value at Risk the New Benchmark for Managing Financial Risk, 3rd edn. McGraw-Hill Education, New York City (2007)

    Google Scholar 

  10. Blomvall, J.: Measurement of interest rates using a convex optimization model. Eur. J. Oper. Res. 256, 308–316 (2017)

    Article  MathSciNet  Google Scholar 

  11. Zhang, Y., Chen, Z., Li, Y.: Bayesian testing for short term interest rate models. Financ. Res. Lett. (2016)

    Google Scholar 

  12. Wang, X., Xie, D., Jiang, J., Wu, X., He, J.: Value-at-risk estimation with stochastic interest rate models for option-bond portfolios. Financ. Res. Lett. (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Mostafa El Hachloufi , Driss Ezouine or Mohammed El Haddad .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

El Hachloufi, M., Ezouine, D., El Haddad, M. (2018). Interaction Between the VaR of Cash Flow and the Interest Rate Using the ALM. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_81

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-74500-8_81

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74499-5

  • Online ISBN: 978-3-319-74500-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics