IDEAS home Printed from https://ideas.repec.org/a/scn/financ/y2018i3p52-63.html
   My bibliography  Save this article

Доходность Стратегии Carry Trade // The Yield Of The Carry Trade Strategy

Author

Listed:
  • A. Mikhailov Yu.

    (Financial University)

  • А. Михайлов Ю.

    (Финансовый университет)

Abstract

The article analyzes the carry trade strategy in which, according to common definition, traders borrow a currency that has a low-interest rate and use the funds to buy a different currency that is paying a higher interest rate. The aim of this work is to form the optimal strategies and carry trade portfolio. The task of our study was to study the interdependence between the yield of the carry trade strategy and the USA stock market on the basis of a mathematical approach and offer a portfolio of currencies with the highest historical yield over the past five years. The author used the model of relative risk aversion. We analyzed data on exchange rates, forward premium and real exchange rates for the Eurozone, as well as for countries of the Organization for Economic Cooperation and Development (OECD) such as Australia, Brazil, China, Japan, New Zealand, Russia, Switzerland, the United Kingdom and the United States of America. Carry trade’s yield is not tied to standard risk factors. Popular funding currency — the yen has experienced a strong jump of volatility as a result of the 2008–2009 crisis. A possible explanation for this reversal is investors’ appetite for risk. The author concluded that the most common carry trade strategies in the period from 2009 to 2014 were formed on the basis of two financing currencies (Japanese yen and the US dollar) and three investment currencies (Australian dollar, New Zealand dollar and Chinese yuan). After 2014, the US dollar ceases to be the funding currency, giving way to the Euro. The optimal carry trade strategy is borrowing in the currencies of developed countries (EUR, JPY) and investing in the currencies of energy producing countries (RUB, BRL). There is a negative relationship between the volume of transactions based on the carry trade strategy and the yield of shares in the financing country. There is also a significant link between the yield of the carry trade strategy and the profitability of the USA stock market. В статье анализируется стратегия carry trade, которая предполагает заимствование денег с низкой процентной ставкой, инвестирование в стране с высокими процентными ставками и может генерировать высокий коэффициент на развитых и развивающихся рынках.Целью данной работы является формирование оптимальных стратегий и портфеля carry trade.Задачи исследования: изучение взаимосвязи между доходностью торговой стратегии carry и фондового рынка США на основе математического подхода и предложение портфеля валют с наибольшей исторической доходностью за последние пять лет.В статье используется модель относительного неприятия риска. Анализируются данные о валютных курсах, форвардной премии и реальном обменном курсе Еврозоны, а также таких стран Организации экономического сотрудничества и развития (ОЭСР), как Австралия, Бразилия, Китай, Япония, Новая Зеландия, Россия, Швейцария, Великобритания и Соединенные Штаты Америки.Доходность carry trade не связана со стандартными факторами риска. Популярная валюта фондирования — иена — испытала сильные скачки волатильности в результате кризиса 2008–2009 гг. Возможное объяснение этого разворота — аппетит инвесторов к риску.Выводы: самые распространенные стратегии carry trade в период с 2009 по 2014 г. сформированы на базе двух валют финансирования (японской иены и доллара США) и трех инвестиционных валют (австралийского доллара, новозеландского доллара и китайского юаня.) После 2014 г. доллар США перестает быть валютой фондирования, уступая место евро. Оптимальная стратегия carry trade представляет собой заимствования в валютах развитых стран (EUR, JPY) и инвестирование в валюты энергетических стран (RUB, BRL).Существует негативная связь между объемом сделок по стратегии carry trade и доходностью акций страны финансирования. Также проявляется значимая взаимозависимость между доходностью стратегии carry trade и рентабельностью фондового рынка США.

Suggested Citation

  • A. Mikhailov Yu. & А. Михайлов Ю., 2018. "Доходность Стратегии Carry Trade // The Yield Of The Carry Trade Strategy," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 22(3), pages 52-63.
  • Handle: RePEc:scn:financ:y:2018:i:3:p:52-63
    as

    Download full text from publisher

    File URL: https://financetp.fa.ru/jour/article/viewFile/658/491.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gabaix, Xavier & Verdelhan, Adrien & Rancière, Romain & Farhi, Emmanuel & Fraiberger, Samuel P., 2009. "Crash Risk in Currency Markets," CEPR Discussion Papers 7322, C.E.P.R. Discussion Papers.
    2. Alexey Yurievich Mikhaylov, 2018. "Pricing in Oil Market and Using Probit Model for Analysis of Stock Market Effects," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 69-73.
    3. Shin, Hyun Song & Plantin, Guillaume, 2011. "Carry Trades, Monetary Policy and Speculative Dynamics," CEPR Discussion Papers 8224, C.E.P.R. Discussion Papers.
    4. Sarno, Lucio & Schneider, Paul & Wagner, Christian, 2012. "Properties of foreign exchange risk premiums," Journal of Financial Economics, Elsevier, vol. 105(2), pages 279-310.
    5. Barroso, Pedro & Santa-Clara, Pedro, 2015. "Beyond the Carry Trade: Optimal Currency Portfolios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(5), pages 1037-1056, October.
    6. Alexey Yurievich Mikhaylov, 2018. "Volatility Spillover Effect between Stock and Exchange Rate in Oil Exporting Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 321-326.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chernov, Mikhail & Graveline, Jeremy & Zviadadze, Irina, 2018. "Crash Risk in Currency Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(1), pages 137-170, February.
    2. Chernov, Mikhail & Graveline, Jeremy & Zviadadze, Irina, 2012. "Sources of Risk in Currency Returns," CEPR Discussion Papers 8745, C.E.P.R. Discussion Papers.
    3. Yamani, Ehab, 2019. "Diversification role of currency momentum for carry trade: Evidence from financial crises," Journal of Multinational Financial Management, Elsevier, vol. 49(C), pages 1-19.
    4. Yung, Julieta, 2021. "Can interest rate factors explain exchange rate fluctuations?," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 34-56.
    5. Anella Munro, 2014. "Exchange rates, expected returns and risk," Reserve Bank of New Zealand Discussion Paper Series DP2014/01, Reserve Bank of New Zealand.
    6. Fabian Ackermann & Walt Pohl & Karl Schmedders, 2017. "Optimal and Naive Diversification in Currency Markets," Management Science, INFORMS, vol. 63(10), pages 3347-3360, October.
    7. A. Mikhailov Yu. & D. Burakov B. & V. Didenko Yu. & А. Михайлов Ю. & Д. Бураков В. & В. Диденко Ю., 2019. "Взаимосвязь цен на нефть и макроэкономических показателей в России // Relationship between Oil Price and Macroeconomic Indicators in Russia," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 23(2), pages 105-116.
    8. Lukas Kremens & Ian Martin, 2019. "The Quanto Theory of Exchange Rates," American Economic Review, American Economic Association, vol. 109(3), pages 810-843, March.
    9. Ferdinand Dreher & Johannes Gräb & Thomas Kostka, 2020. "From carry trades to curvy trades," The World Economy, Wiley Blackwell, vol. 43(3), pages 758-780, March.
    10. Mikhail Bondarev, 2020. "Energy Consumption of Bitcoin Mining," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 525-529.
    11. Pasquale Della Corte & Lucio Sarno & Maik Schmeling & Christian Wagner, 2022. "Exchange Rates and Sovereign Risk," Management Science, INFORMS, vol. 68(8), pages 5591-5617, August.
    12. Choi, Jin Ho & Suh, Sangwon, 2021. "A filtered currency carry trade," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    13. Sebnem Kalemli-Ozcan & Liliana Varela, 2019. "Exchange Rate and Interest Rate Disconnect: The Role of Capital Flows, Currency Risk and Default Risk," 2019 Meeting Papers 351, Society for Economic Dynamics.
    14. Artur Meynkhard, 2020. "Priorities of Russian Energy Policy in Russian-Chinese Relations," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 65-71.
    15. Fe Amor Parel Gudmundsson & Sergey Prosekov & Natalia Sokolinskaya & Sergey Tarakanov & Evgeniy Lopatin, 2020. "Factors of the Formation of Modern Energetic Reality in North Western Europe," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 539-544.
    16. Pasquale Della Corte & Steven J. Riddiough & Lucio Sarno, 2016. "Currency Premia and Global Imbalances," The Review of Financial Studies, Society for Financial Studies, vol. 29(8), pages 2161-2193.
    17. Jo o Marcos Mott Pavanelli & Alexandre Toshiro Igari, 2019. "Institutional Reproduction and Change: An Analytical Framework for Brazilian Electricity Generation Choices," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 252-263.
    18. Dahlquist, Magnus & Hasseltoft, Henrik, 2020. "Economic momentum and currency returns," Journal of Financial Economics, Elsevier, vol. 136(1), pages 152-167.
    19. Wagner, Christian, 2012. "Risk-premia, carry-trade dynamics, and economic value of currency speculation," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1195-1219.
    20. Ziyun Zhang & Sen Guo, 2021. "What Factors Affect the RMB Carry Trade Return for Sustainability? An Empirical Analysis by Using an ARDL Model," Sustainability, MDPI, vol. 13(24), pages 1-19, December.

    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:financ:y:2018:i:3:p:52-63. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Алексей Скалабан (email available below). General contact details of provider: http://financetp.fa.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.