JOURNAL ARTICLE

Stochastic method of dynamic hedging applied to the high liquid asset markets.

  • Published In: International Journal of Financial Engineering, 2023, v. 10, n. 4. P. 1 1 of 3

  • Database: Mathematics Source 2 of 3

  • Authored By: Romanov, Maksim Y.; Vavilov, Sergey A. 3 of 3

Abstract

In this study, the problem of hedging the risk of price slumping for a given volume of high-liquid assets is considered. One such possible hedging strategy may be the management of a portfolio constituted by the futures contracts holding a short position with respect to the basic asset. Besides that, the amount of having been sold futures is to satisfy the restrictions on the admissible minimal and maximum volume at each instant of time. The goal of such portfolio management is the increase of the weighted average price of futures sales through the speculative transactions realized in the real-time regime. Moreover, as feedback in the process of such management realization, one may use the prices of being executed market bargains only. The efficiency of the proposed hedging scheme is demonstrated by its comparison with the financial results achieved by the static hedging in the process of their both practical realizations based on the historical market prices. In this paper by the "dynamic hedging" concept, one means the execution of speculative transactions with futures taking a short position to provide the additional value of basic asset taking a long position. This notion is introduced in counterweight to the "static hedging" concept when the futures quantity does not vary in time and which goal is to preserve the basic asset value only. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Financial Engineering. 2023/12, Vol. 10, Issue 4, p1
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2023
  • ISSN:2424-7863
  • DOI:10.1142/S2424786323500366
  • Accession Number:174345005
  • Copyright Statement:Copyright of International Journal of Financial Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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