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Testing Price Pressure, Information, Feedback Trading, and Smoothing Effects for Energy Exchange Traded Funds

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  • Chang, Chia-Lin
  • Ke, Yu-Pei

Abstract

This paper examines the relationships between flows and returns for five Exchange Traded Funds (ETF) in the U.S. energy sector. Four alternative hypotheses are tested, including the price pressure hypothesis, information (or price release) hypothesis, feedback trading hypothesis, and smoothing hypothesis. The five ETF are the Energy Select Sector SPDR Fund (XLE), iShares U.S. Energy ETF (IYE), iShares Global Energy ETF (IXC), Vanguard Energy ETF (VDE), and PowerShares Dynamic Energy Exploration & Production Portfolio (PXE). A Vector Autoregressive (VAR) model is used to analyze the relationships between energy flows and returns. The empirical results show that energy returns and subsequent energy ETF flows have a negative relationship, thereby supporting the smoothing hypothesis. Moreover, the smoothing effect exists for XLE and IYE during the global financial crisis. Regardless of whether the whole sample period or the sub-samples before, during and after the global financial crisis are used, no evidence is found in support of the price pressure hypothesis, information hypothesis, or feedback trading hypothesis.

Suggested Citation

  • Chang, Chia-Lin & Ke, Yu-Pei, 2014. "Testing Price Pressure, Information, Feedback Trading, and Smoothing Effects for Energy Exchange Traded Funds," MPRA Paper 57625, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:57625
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    References listed on IDEAS

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    1. Chang, Chia-Lin & de Bruijn, Bert & Franses, Philip Hans & McAleer, Michael, 2013. "Analyzing fixed-event forecast revisions," International Journal of Forecasting, Elsevier, vol. 29(4), pages 622-627.
    2. Oh, Natalie Y. & Parwada, Jerry T., 2007. "Relations between mutual fund flows and stock market returns in Korea," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(2), pages 140-151, April.
    3. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2013. "Conditional correlations and volatility spillovers between crude oil and stock index returns," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 116-138.
    4. Lutz Kilian & Cheolbeom Park, 2009. "The Impact Of Oil Price Shocks On The U.S. Stock Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1267-1287, November.
    5. Boyer, Brian & Zheng, Lu, 2009. "Investor flows and stock market returns," Journal of Empirical Finance, Elsevier, vol. 16(1), pages 87-100, January.
    6. Cunado, Juncal & Perez de Gracia, Fernando, 2014. "Oil price shocks and stock market returns: Evidence for some European countries," Energy Economics, Elsevier, vol. 42(C), pages 365-377.
    7. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    8. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October.
    9. Harris, Lawrence E & Gurel, Eitan, 1986. " Price and Volume Effects Associated with Changes in the S&P 500 List: New Evidence for the Existence of Price Pressures," Journal of Finance, American Finance Association, vol. 41(4), pages 815-829, September.
    10. Saif Ghouri, Salman, 2006. "Assessment of the relationship between oil prices and US oil stocks," Energy Policy, Elsevier, vol. 34(17), pages 3327-3333, November.
    11. Jank, Stephan, 2012. "Mutual fund flows, expected returns, and the real economy," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3060-3070.
    12. Arouri, Mohamed El Hedi, 2011. "Does crude oil move stock markets in Europe? A sector investigation," Economic Modelling, Elsevier, vol. 28(4), pages 1716-1725, July.
    13. Ülkü, Numan & Weber, Enzo, 2013. "Identifying the interaction between stock market returns and trading flows of investor types: Looking into the day using daily data," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2733-2749.
    14. Rakowski, David & Wang, Xiaoxin, 2009. "The dynamics of short-term mutual fund flows and returns: A time-series and cross-sectional investigation," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2102-2109, November.
    15. Naifar, Nader & Al Dohaiman, Mohammed Saleh, 2013. "Nonlinear analysis among crude oil prices, stock markets' return and macroeconomic variables," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 416-431.
    16. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    17. Jinjarak, Yothin & Wongswan, Jon & Zheng, Huanhuan, 2011. "International fund investment and local market returns," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 572-587, March.
    18. Watson, John & Wickramanayake, J., 2012. "The relationship between aggregate managed fund flows and share market returns in Australia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 451-472.
    19. Ben-Rephael, Azi & Kandel, Shmuel & Wohl, Avi, 2011. "The Price Pressure of Aggregate Mutual Fund Flows," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(02), pages 585-603, April.
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    1. repec:wsi:afexxx:v:09:y:2014:i:02:n:s2010495214020023 is not listed on IDEAS
    2. Chia-Lin Chang & Michael McAleer & Chien-Hsun Wang, 2017. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 6(1), pages 1-24, December.
    3. Jędrzej Białkowski & Huong Dieu Dang & Xiaopeng Wei, 2017. "Does the Tail Wag the Dog? Evidence from Fund Flow to VIX ETFs and ETNs," Working Papers in Economics 17/17, University of Canterbury, Department of Economics and Finance.
    4. Chang, Chia-Lin & McAleer, Michael & Wang, Yanghuiting, 2018. "Testing Co-Volatility spillovers for natural gas spot, futures and ETF spot using dynamic conditional covariances," Energy, Elsevier, vol. 151(C), pages 984-997.
    5. Chia-Lin Chang & Shing-Yang Hu & Shih-Ti Yu, 2014. "Recent Developments In Quantitative Finance: An Overview," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 1-7.

    More about this item

    Keywords

    Energy Exchange Traded Funds (ETF); Price pressure hypothesis; Information hypothesis; Feedback trading hypothesis; Smoothing hypothesis.;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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