Skip to main content
SpringerLink
Log in

Bi-temporal Database Model for Legal Merger Transactions and Late-Arriving Information Problem: The Case of Polish Merger Market

  • Chapter
  • First Online:
Advanced Topics in Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 710))

Included in the following conference series:

  • 1239 Accesses

Abstract

Most economical and financial software applications should take into consideration the temporal aspect of these processes. Bi-temporal databases guarantees that the results may be always reproduced exactly as they were at some previous point in time. The concept of bi-temporal data is reviewed when designing model of the merger transaction database. Special attention is paid to the problem of late-arriving information. The Polish merger market is presented as an example.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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.

    National Court Register (pol. Krajowy Rejestr Sądowy—KRS).

  2. 2.

    There are four main aggregated statistics of merger and acquisition market: announced, completed, withdrawn and backlog volumes. Their definitions can be found in Buczek [5].

References

  1. Act of 15 September 2000: The Code of Commercial Partnerships and Companies (in Polish)

    Google Scholar 

  2. Act of 22 December 1995 on issuing the Journal of the Ministry of Justice (in Polish)

    Google Scholar 

  3. Abelló, A., Carme, M.: A Bitemporal Storage Structure for a Corporate Data Warehouse. In: Kambayashi, Y., Mohania, M., Wöß, W. (eds.) DaWak 2003. LNCS, vol. 2737, pp. 109–118. Springer, Heidelberg (2003)

    Google Scholar 

  4. Bondesson, L.: On the Lévy measure of the lognormal and logcauchy distributions. Methodol. Comput. Appl. Probab. 4, 243–256 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  5. Buczek, A.: Aggregate size measures of merger market: empirical evidence from Poland, 2002–2013. Wroclaw School Bank. Res. J. 16(3), 73–90 (2016)

    Google Scholar 

  6. Buczek, A., Mercik, J.: On conformance of legal merger duration with Burr type III and XII distribution. Wroclaw School Bank. Res. J. 15(5), 597–608 (2015)

    Google Scholar 

  7. Doucet, R.: A strategy for storing bitemporal data in the dimensional model. Bus. Intell. J. 17(2), 41–55 (2012)

    Google Scholar 

  8. Jensen, C.S., Snodgrass, R.T.: Temporal data management. IEEE Trans. Knowl. Data Eng. 11(1), 36–44 (1999)

    Article  Google Scholar 

  9. Kumar, A., Tsotras, V.J., Faloutsos, C.: Designing access methods for bitemporal data-bases. IEEE Trans. Knowl. Data Eng. 10(1), 1–20 (1998)

    Article  Google Scholar 

  10. Rozmus, S.: Database design with full history of data changes—the bitemporal database model and write operations. Biuletyn WAT 65(1), 89–109 (2016) (in Polish)

    Google Scholar 

  11. Ross, S.M.: Simulation. Elsevier, Academic Press, San Diego (2006)

    MATH  Google Scholar 

  12. SAS Institute Inc.: SAS/ETS 9.3 User’s Guide. SAS Institute Inc., Cary (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Wroclaw University of Science and Technology, Wroclaw, Poland

    Aleksander Buczek

  2. WSB University in Wroclaw, Wroclaw, Poland

    Jacek Mercik

Authors
  1. Aleksander Buczek
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jacek Mercik
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Aleksander Buczek .

Editor information

Editors and Affiliations

  1. Faculty of Computer Sci. and Management, Wroclaw Univ. of Science and Technology Faculty of Computer Sci. and Management, Wroclaw, Poland

    Dariusz Król

  2. Faculty of Computer Sci. and Management, Wroclaw Univ of Science and Technology Faculty of Computer Sci. and Management, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. School of Advanced Sci. and Technology, Japan Advanced Inst. of Sci. and Tech School of Advanced Sci. and Technology, Ishikawa, Japan

    Kiyoaki Shirai

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Buczek, A., Mercik, J. (2017). Bi-temporal Database Model for Legal Merger Transactions and Late-Arriving Information Problem: The Case of Polish Merger Market. In: Król, D., Nguyen, N., Shirai, K. (eds) Advanced Topics in Intelligent Information and Database Systems. ACIIDS 2017. Studies in Computational Intelligence, vol 710. Springer, Cham. https://doi.org/10.1007/978-3-319-56660-3_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-56660-3_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56659-7

  • Online ISBN: 978-3-319-56660-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation