2019
DOI: 10.1016/j.iref.2018.10.011
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An analysis of the arbitrage efficiency of the Chinese SSE 50ETF options market

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Cited by 14 publications
(5 citation statements)
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“…Evaluations of the resistance raised by the options market to offset adverse trends in the stock market are based on the theory that a market is efficient when it does not allow the participants to gain abnormal and excess earnings from it (Fama, 1970), and the initial examinations were on the predictability of the options prices using various theoretical models (Evnine & Rudd, 1984). Other empirical methods for scrutinizing the ability of the options market to perform its fundamental function are assessments of internal market efficiency as well as cross market efficiency, where the former is measured in terms of no-arbitrage association prevailing within the options market (Aggarwal & Gupta, 2009;Zhang & Watada, 2019) and the latter is assessed with regard to the arbitrage free affiliations among the options and other markets (Kamara & Miller, 1995;Vipul, 2008;Mutum & Das, 2019). But these methods seldom validate the prime purpose of the options, as they fail to account for instantaneous simultaneity among the options market and its underlying spot market in reflecting substantial information (Chan, Chung, & Johnson, 1993), which leads to arbitrage earnings (Hentze & Seiler, 2000).…”
Section: Review Of Literaturementioning
confidence: 99%
“…Evaluations of the resistance raised by the options market to offset adverse trends in the stock market are based on the theory that a market is efficient when it does not allow the participants to gain abnormal and excess earnings from it (Fama, 1970), and the initial examinations were on the predictability of the options prices using various theoretical models (Evnine & Rudd, 1984). Other empirical methods for scrutinizing the ability of the options market to perform its fundamental function are assessments of internal market efficiency as well as cross market efficiency, where the former is measured in terms of no-arbitrage association prevailing within the options market (Aggarwal & Gupta, 2009;Zhang & Watada, 2019) and the latter is assessed with regard to the arbitrage free affiliations among the options and other markets (Kamara & Miller, 1995;Vipul, 2008;Mutum & Das, 2019). But these methods seldom validate the prime purpose of the options, as they fail to account for instantaneous simultaneity among the options market and its underlying spot market in reflecting substantial information (Chan, Chung, & Johnson, 1993), which leads to arbitrage earnings (Hentze & Seiler, 2000).…”
Section: Review Of Literaturementioning
confidence: 99%
“…The prediction of the actual options premium using theoretical pricing models was the early method of testing the efficiency of the options market (Evnine & Rudd, 1984). Later this efficiency was tested by exploring the no-arbitrage association among different options segments or between the options market and its underlying market such as put-call parity, monotonicity property and no-arbitrage boundaries (Kamara & Miller, 1995;Kumar & Raman, 2017;Mittnik & Rieken, 2000;Mutum & Das, 2019;Vipul, 2008) and further by testing no-arbitrage relationship existing within the options market itself including put and call spread, box spread and butterfly spread (Ackert & Tian, 2001;Aggarwal & Gupta, 2009;Mohanti & Priyan, 2014;Zhang & Watada, 2019). But mere efficiency hardly ever warrants risk mitigation by the options market when it fails to confirm instantaneity with the underlying market in absorption and reflection of information (Chan et al, 1993).…”
Section: Relative Informational Efficiency Of the Options And Stocksmentioning
confidence: 99%
“…For the purpose of exploring the PDF of the asset price and interval option pricing when the constraint satisfactory degree is 0 and 1, respectively, we selected the China SSE 50 ETF call option [ 27 , 28 ]. This includes the highest and lowest prices, with the maturity date of 22 June and 28 September as established at 20 April 2016.…”
Section: Empirical Analysesmentioning
confidence: 99%