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Assessment of Black Litterman portfolio optimization on Bulgarian Stock Exchange

Published: 21 June 2019 Publication History

Abstract

Information technology implements its outcomes in development information services, which are available in virtual environments. The increase of usage of information services insists on the functionalities, offering by the information systems to provide complex treatment of the data. Thus, additional and new business relations are identified and can be taken in consideration in managing and decision making in complex systems. This research makes formalization to provide portfolio optimization of financial resources as information service. Part of the Modern portfolio theory for the case of Black-Litterman model is decomposed to sequential algorithm, which can be implemented by software in an information service. Due to its complex nature, the Black-Litterman model has been illustrated by application using real data of Bulgarian Stock Exchange. The paper's benefit concerns the definition of appropriate algorithm of portfolio optimization, considering its implementation in information service for taking decision in resource allocation and investments.

References

[1]
H.Markovitz, 1952. Portfolio selection. Journal of finance, vol 7 issue 1, pp 77--91.
[2]
W. Sharpe, 2010. Adaptive asset allocation policies.- J. Financial Analysts. Vol. 66, issue 5, pp. 45--49.
[3]
P. Kolm, P. Tutuncu, F. Fabozzi, 2014. 60 Years of Portfolio optimization:Practical challenge and current trends. European Journal of Operation Research 234, pp 356--371.
[4]
. T. Black, R. Litterman, 1991. Asset equilibrium: Combining investor views with market equilibrium. Journal of fixed income, vol.1, No3, pp 7--18.
[5]
G. He, R. Litterman. The intuition behind Black-Litterman model portfolios. Techn. Report, Fixed Income.
[6]
http://infostock.bg

Cited By

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  • (2020)Information Technology Support for Portfolio Optimization2020 XI National Conference with International Participation (ELECTRONICA)10.1109/ELECTRONICA50406.2020.9305109(1-4)Online publication date: 23-Jul-2020

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cover image ACM Other conferences
CompSysTech '19: Proceedings of the 20th International Conference on Computer Systems and Technologies
June 2019
365 pages
ISBN:9781450371490
DOI:10.1145/3345252
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • UORB: University of Ruse, Bulgaria

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2019

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Author Tags

  1. Black-Litterman portfolio optimization
  2. Virtual information systems
  3. business information
  4. complex systems
  5. decision making
  6. financial investments
  7. portfolio optimization

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  • Research-article
  • Research
  • Refereed limited

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CompSysTech '19

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Overall Acceptance Rate 241 of 492 submissions, 49%

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Cited By

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  • (2020)Information Technology Support for Portfolio Optimization2020 XI National Conference with International Participation (ELECTRONICA)10.1109/ELECTRONICA50406.2020.9305109(1-4)Online publication date: 23-Jul-2020

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