Complexity of Option Pricing

Victor Olkhov
Victor Olkhov

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Complexity of Option Pricing

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Abstract

This paper discusses internal complexity of assets and option pricing. We review the Black-Scholes-Merton equation within economic space point of view. We argue reasons for economic space definition and discuss it’s application for options pricing. Our approach allows revise classical Black-Sholes-Merton model and discovers hidden complication for truthful pricing of assets and options. We derive Black-Sholes-Merton equation on n-dimensional economic space and argue tough problems that should be solved to make option pricing more accurate.

References

14 Cites in Article
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  2. J Cochrane (2001). Assets Pricing.
  3. H Dyke,S Jenning (2015). Global Structured Finance Rating Criteria.
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  10. V Olkhov (2016). Finance, Risk and Economic space.
  11. Victor Olkhov (2016). New Look on Macro-Finance Modeling.
  12. F Perroux (1950). Economic Space: Theory and Applications.
  13. L Tesfatsion,K Judd (2005). Handbook of Computational Economics 2: Agent-Based Computational Economics (Tesfatsion, L. and Judd, K.L., Eds.) [Book Review].
  14. Victor Olkhov (2016). On Economic Space notion.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Victor Olkhov. 2016. \u201cComplexity of Option Pricing\u201d. Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 16 (GJMBR Volume 16 Issue C8).

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Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Keywords
Classification
GJMBR-C Classification JEL Code: C500
C520
C530
C600
G110
G130
Version of record

v1.2

Issue date
December 10, 2016

Language
en
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Complexity of Option Pricing

Victor Olkhov
Victor Olkhov

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