IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v38y2016icp430-438.html
   My bibliography  Save this article

Are US-Dollar-Hedged-ETF investors aggressive on exchange rates? A panel VAR approach

Author

Listed:
  • Shank, Corey A.
  • Vianna, Andre C.

Abstract

Exchange traded funds (ETFs) are a multi-trillion dollar market that epitomizes financialization due to its recent growth. This study examines the behavior of U.S. listed currency hedged ETF investors towards changes in the underlying benchmark and foreign exchange rate from July 2011 to November 2015 using a panel VAR approach. We find that investors are able to anticipate changes in future exchange rates and invest in currency hedged ETFs prior to changes. Granger-causality tests confirm that these investors proactively trade before large real exchange rate movements. These results suggest that the use of financial instruments such as ETFs to hedge against exchange rate volatility may have itself become a source of volatility, which have implications for the further financialization of the ETF industry.

Suggested Citation

  • Shank, Corey A. & Vianna, Andre C., 2016. "Are US-Dollar-Hedged-ETF investors aggressive on exchange rates? A panel VAR approach," Research in International Business and Finance, Elsevier, vol. 38(C), pages 430-438.
  • Handle: RePEc:eee:riibaf:v:38:y:2016:i:c:p:430-438
    DOI: 10.1016/j.ribaf.2016.05.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531916300873
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Boehmer, Beatrice & Boehmer, Ekkehart, 2003. "Trading your neighbor's ETFs: Competition or fragmentation?," Journal of Banking & Finance, Elsevier, vol. 27(9), pages 1667-1703, September.
    2. Robin K. Chou & Huimin Chung, 2006. "Decimalization, trading costs, and information transmission between ETFs and index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(2), pages 131-151, February.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Aboura, Sofiane & Chevallier, Julien, 2015. "Volatility returns with vengeance: Financial markets vs. commodities," Research in International Business and Finance, Elsevier, vol. 33(C), pages 334-354.
    5. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2013. "Liquidity commonality in commodities," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 11-20.
    6. Grossmann, Axel & Love, Inessa & Orlov, Alexei G., 2014. "The dynamics of exchange rate volatility: A panel VAR approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 1-27.
    7. Vanthuan Nguyen & Bonnie F. Van Ness & Robert A. Van Ness, 2007. "Short- and Long-Term Effects of Multimarket Trading," The Financial Review, Eastern Finance Association, vol. 42(3), pages 349-372, August.
    8. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    9. Huchet, Nicolas & Fam, Papa Gueye, 2016. "The role of speculation in international futures markets on commodity prices," Research in International Business and Finance, Elsevier, vol. 37(C), pages 49-65.
    10. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    11. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    12. Edwin J. Elton, 2002. "Spiders: Where Are the Bugs?," The Journal of Business, University of Chicago Press, vol. 75(3), pages 453-472, July.
    13. James M. Poterba & John B. Shoven, 2002. "Exchange-Traded Funds: A New Investment Option for Taxable Investors," American Economic Review, American Economic Association, vol. 92(2), pages 422-427, May.
    14. Agapova, Anna, 2011. "Conventional mutual index funds versus exchange-traded funds," Journal of Financial Markets, Elsevier, vol. 14(2), pages 323-343, May.
    15. Srichander Ramaswamy, 2011. "Market structures and systemic risks of exchange-traded funds," BIS Working Papers 343, Bank for International Settlements.
    16. Lee, Bong-Soo & Rui, Oliver M., 2002. "The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 51-78, January.
    17. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    18. Itzhak Ben-David & Francesco Franzoni & Rabih Moussawi, 2014. "Do ETFs Increase Volatility?," NBER Working Papers 20071, National Bureau of Economic Research, Inc.
    19. Narat Charupat & Peter Miu, 2013. "Recent developments in exchange-traded fund literature: Pricing efficiency, tracking ability, and effects on underlying securities," Managerial Finance, Emerald Group Publishing, vol. 39(5), pages 427-443, April.
    20. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    21. repec:dau:papers:123456789/13359 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Khalifa, Ahmed A. & Alsarhan, Abdulwahab A. & Bertuccelli, Pietro, 2017. "Causes and consequences of energy price shocks on petroleum-based stock market using the spillover asymmetric multiplicative error model," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 307-314.
    2. repec:eee:riibaf:v:45:y:2018:i:c:p:243-256 is not listed on IDEAS

    More about this item

    Keywords

    ETFs; Financialization; Trading volume; Exchange rates; Investor behavior;

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    Statistics

    Access and download statistics

    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:eee:riibaf:v:38:y:2016:i:c:p:430-438. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.