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Alexander Kulkov

Personal Details

First Name:Alexander
Middle Name:
Last Name:Kulkov
Suffix:
RePEc Short-ID:pku736

Affiliation

Faculty of Management and Applied Mathematics
Moscow Institute of Physics and Technology

Dolgoprudny, Russia
http://dcam.mipt.ru/
RePEc:edi:fpmedru (more details at EDIRC)

Research output

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Jump to: Articles Chapters

Articles

  1. Polbin, Andrey & Shumilov, Andrei & Bedin, Andrei & Kulikov, Alexander, 2019. "Modeling real exchange rate of the Russian ruble using Markov regime switching approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 32-50.

Chapters

  1. Alexander V. Kulikov & Pavel P. Gusyatnikov, 2016. "Stopping Times for Fractional Brownian Motion," Lecture Notes in Economics and Mathematical Systems, in: Raquel J. Fonseca & Gerhard-Wilhelm Weber & João Telhada (ed.), Computational Management Science, edition 1, pages 195-200, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Polbin, Andrey & Shumilov, Andrei & Bedin, Andrei & Kulikov, Alexander, 2019. "Modeling real exchange rate of the Russian ruble using Markov regime switching approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 32-50.

    Cited by:

    1. Andrey Feliksovich Bedin & Alexander Vladimirovich Kulikov & Andrey Vladimirovich Polbin, 2021. "A Markov Switching VECM Model for Russian Real GDP, Real Exchange Rate and Oil Prices," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 402-412.
    2. Andrey Bedin & Alexander Kulikov & Andrey Polbin, 2023. "Copula-Based Modelling of Relationship Between Dollar/Rouble Exchange Rate and Oil Prices," Russian Journal of Money and Finance, Bank of Russia, vol. 82(3), pages 87-109, September.
    3. Polbin, Andrey & Skrobotov, Anton, 2022. "On decrease in oil price elasticity of GDP and investment in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 5-24.
    4. D. A. Menshikh, 2021. "Estimation of fiscal rule impact on Russian ruble equilibrium exchange rate," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 2.
    5. Bozhechkova, Alexandra (Божечкова, Александра) & Ivanov, Evgeny (Иванов, Евгений) & Orekhov, Mikhail (Орехов, Михаил) & Trunin, Pavel (Трунин, Павел) & Chembulatova, Maria (Чембулатова, Мария) & Yakov, 2021. "Analysis of the Behavior of Banks and Companies in the Conditions of Exchange Volatility in Russia [Анализ Поведения Банков И Компаний В Условиях Курсовой Волатильности В России]," Working Papers w20220176, Russian Presidential Academy of National Economy and Public Administration.
    6. A. V. Bozhechkova & S. G. Sinelnikov-Murylev & P. V. Trunin, 2020. "Factors of the Russian ruble exchange rate dynamics in the 2000s and 2010s," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 8.
    7. Aleksandr Eliseev & Anna Novak & Andrey Shulgin, 2023. "Long-Term Exchange Rate Pass-Through to Prices," Russian Journal of Money and Finance, Bank of Russia, vol. 82(2), pages 21-51, June.
    8. Shumilov, Andrei, 2019. "Модели Зависимости Реального Курса Рубля От Цены И Стоимости Экспорта Нефти: Сравнительный Анализ [Oil prices versus oil export revenues as fundamental factors of the real Russian ruble exchange ra," MPRA Paper 96400, University Library of Munich, Germany.
    9. Polbin, Andrey & Shumilov, Andrei, 2020. "Модель Зависимости Обменного Курса Рубля От Цен На Нефть С Марковскими Переключениями Режимов [Modeling the relationship between the Russian ruble exchange rate and oil prices: A Markov regime swit," MPRA Paper 102450, University Library of Munich, Germany.

Chapters

  1. Alexander V. Kulikov & Pavel P. Gusyatnikov, 2016. "Stopping Times for Fractional Brownian Motion," Lecture Notes in Economics and Mathematical Systems, in: Raquel J. Fonseca & Gerhard-Wilhelm Weber & João Telhada (ed.), Computational Management Science, edition 1, pages 195-200, Springer.

    Cited by:

    1. Sebastian Becker & Patrick Cheridito & Arnulf Jentzen & Timo Welti, 2019. "Solving high-dimensional optimal stopping problems using deep learning," Papers 1908.01602, arXiv.org, revised Aug 2021.

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