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The Impact of Universal Stock Futures on Feedback Trading and Volatility Dynamics

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  • Frankie Chau
  • Phil Holmes
  • Krishna Paudyal

Abstract

This paper investigates the impact of the introduction of Universal Stock Futures (USFs) on underlying market dynamics (volatility and the level of feedback trading). Analysis of USFs provides a number of advantages compared to investigation of index futures, leading to reliable and wider ranging insights into the impact of derivatives. Specifically: (i) any impact of derivatives is more likely to be evident in the behaviour of individual stocks; (ii) with USFs it is possible to directly trade the underlying; (iii) USFs have multiple introduction dates within a given market; (iv) differential country/industry effects can be identified; and (v) the endogeneity issue can be addressed using control stocks. Findings suggest limited feedback trading in USF stocks, but listing has reduced this further. While news has less impact and persistence and asymmetry effects are more evident post‐futures, control stock results suggest these changes are not futures induced. Differences are evident across industries. The need for analysis of an appropriate (industry based) control sample is highlighted if reliable policy conclusions are to be reached.

Suggested Citation

  • Frankie Chau & Phil Holmes & Krishna Paudyal, 2008. "The Impact of Universal Stock Futures on Feedback Trading and Volatility Dynamics," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(1‐2), pages 227-249, January.
    • Handle: RePEc:bla:jbfnac:v:35:y:2008:i:1-2:p:227-249
    DOI: 10.1111/j.1468-5957.2007.02067.x
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    2. Ülkü, Numan & Prodan, Eugeniu, 2013. "Drivers of technical trend-following rules' profitability in world stock markets," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 214-229.
    3. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    4. Imran Riaz MALIK* & Attaullah SHAH*, 2014. "Market Varying Conditional Risk-Return Relationship," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 24(2), pages 121-142.
    5. Andrikopoulos, Panagiotis & Cui, Yueting & Gad, Samar & Kallinterakis, Vasileios, 2020. "Feedback trading and the ramadan effect in frontier markets," Research in International Business and Finance, Elsevier, vol. 51(C).
    6. Chau, Frankie & Deesomsak, Rataporn & Lau, Marco C.K., 2011. "Investor sentiment and feedback trading: Evidence from the exchange-traded fund markets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 292-305.
    7. Kallinterakis, Vasileios & Liu, Fei & Pantelous, Athanasios A. & Shao, Jia, 2020. "Pricing inefficiencies and feedback trading: Evidence from country ETFs," International Review of Financial Analysis, Elsevier, vol. 70(C).
    8. Suparna Nandy (Pal) & Arup Kr. Chattopadhyay, 2014. "Impact of Introducing Different Financial Derivative Instruments in India on Its Stock Market Volatility," Paradigm, , vol. 18(2), pages 135-153, December.
    9. Imran Riaz Malik, Attaullah Shah, 2019. "Impact of Single Stock Futures on Feedback Trading, Trading Volume and Volatility: A Modified Approach," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 4(2), pages 15-29, October.
    10. Antonios Antoniou & Gregory Koutmos & Gioia Pescetto, 2011. "Testing for Long Memory in the Feedback Mechanism in the Futures Markets," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 3(2), pages 78-90, September.
    11. Bhattacharyya, Surajit & Saxena, Arunima, 2008. "Stock Futures Introduction & Its Impact on Indian Spot Market," MPRA Paper 15250, University Library of Munich, Germany.
    12. Charteris, Ailie & Kallinterakis, Vasileios, 2021. "Feedback trading in retail-dominated assets: Evidence from the gold bullion coin market," International Review of Financial Analysis, Elsevier, vol. 75(C).
    13. Badreddine, Sina & Galariotis, Emilios C. & Holmes, Phil, 2012. "The relevance of information and trading costs in explaining momentum profits: Evidence from optioned and non-optioned stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 589-608.
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    16. Elisabeta Pana & Sascha Vitzthum & David Willis, 2015. "The impact of internet-based services on credit unions: a propensity score matching approach," Review of Quantitative Finance and Accounting, Springer, vol. 44(2), pages 329-352, February.

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