IDEAS home Printed from https://ideas.repec.org/a/scn/009530/14508972.html
   My bibliography  Save this article

Повышение Эффективности Валютного Хеджирования На Основе Результатов Нейроструктурного Прогнозирования

Author

Listed:
  • Сараев Павел Викторович

    (Липецкий государственный технический университет)

  • Сяглова Юлия Евгеньевна

    (ООО «НЛМК – информационные технологии»)

Abstract

Дан анализ эффективности применения результатов нейроструктурного прогнозирования временных рядов (курсов валют) в процессе хеджирования валютных рисков с применением производных финансовых инструментов. Описан разработанный программный продукт. Рассмотрена методика расчетов по исследованию эффективности применения нейроструктурных прогнозов. Приведены результаты вычислительных экспериментов.The paper gives the analysis of effectiveness of using results of time series neurostructural prediction (exchange rates) in hedging of currency risks using derivative financial instruments. Description of the developed software is given. The technique of computation of effectiveness of use of neurostructural predictions is considered. Results of computational experiments are provided.

Suggested Citation

  • Сараев Павел Викторович & Сяглова Юлия Евгеньевна, 2013. "Повышение Эффективности Валютного Хеджирования На Основе Результатов Нейроструктурного Прогнозирования," Проблемы управления, CyberLeninka;Общество с ограниченной ответственностью "СенСиДат-Контрол", issue 6, pages 48-52.
  • Handle: RePEc:scn:009530:14508972
    as

    Download full text from publisher

    File URL: http://cyberleninka.ru/article/n/povyshenie-effektivnosti-valyutnogo-hedzhirovaniya-na-osnove-rezultatov-neyrostrukturnogo-prognozirovaniya
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:scn:009530:14508972. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CyberLeninka (email available below). General contact details of provider: http://cyberleninka.ru/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.