Abstract:This study investigates the trading activity in options and stock markets around informed events with extreme daily stock price movements. We find that informed agents are more likely to trade options prior to negative news and stocks ahead of positive news. We also show that optioned stocks overreact to the arrival of negative news, but react efficiently to positive news. However, the overreaction patterns are unique to the subsample of stocks with the lowest pre‐event abnormal option/stock volume ratio (O/S)… Show more
“…So I expect the announcements of credit rating downgrades to be more informational. In addition, options trading activity is different before positive and negative news, and informed traders are more likely to trade options before negative news (Black, ; Kang & Park, ; Mazouz et al, ). So I expect that options trading before downgrade announcements is more informational.…”
Section: Resultsmentioning
confidence: 99%
“…Expecting negative market reactions, more informed traders may choose to trade in the options market before announcements with negative market reactions, making options trading more informational. Kang and Park (2014) and Mazouz, Wu, and Yin (2015) find that informed agents are more likely to trade options before negative news and stocks ahead of positive news. Therefore, options trading is expected to be more informational before downgrade than upgrade announcements.…”
Using a sample of proactive credit rating changes, this study examines the information content of options trading before news events. Pre‐event informed options trading predicts cumulative abnormal returns around credit rating change announcements. The predictability of options trading is more pronounced before announcements of more severe and surprising rating changes. Moreover, the information content of pre‐event options trading is greater when the pre‐event underlying stock market is less informational, when the options market is more liquid, and in the post–regulation fair disclosure period. Overall results are consistent with informed options trading before credit rating change announcements.
“…So I expect the announcements of credit rating downgrades to be more informational. In addition, options trading activity is different before positive and negative news, and informed traders are more likely to trade options before negative news (Black, ; Kang & Park, ; Mazouz et al, ). So I expect that options trading before downgrade announcements is more informational.…”
Section: Resultsmentioning
confidence: 99%
“…Expecting negative market reactions, more informed traders may choose to trade in the options market before announcements with negative market reactions, making options trading more informational. Kang and Park (2014) and Mazouz, Wu, and Yin (2015) find that informed agents are more likely to trade options before negative news and stocks ahead of positive news. Therefore, options trading is expected to be more informational before downgrade than upgrade announcements.…”
Using a sample of proactive credit rating changes, this study examines the information content of options trading before news events. Pre‐event informed options trading predicts cumulative abnormal returns around credit rating change announcements. The predictability of options trading is more pronounced before announcements of more severe and surprising rating changes. Moreover, the information content of pre‐event options trading is greater when the pre‐event underlying stock market is less informational, when the options market is more liquid, and in the post–regulation fair disclosure period. Overall results are consistent with informed options trading before credit rating change announcements.
“…Past studies have documented the behavior of options volume around events like mergers and acquisitions, insider trading, bankruptcy, etc. (for instance, Mazouz, Wu, & Yin, 2015;Spyrou, Tsekrekos, & Siougle, 2011;Wang, Yan, Zhang, & Gao, 2018). This study focuses on option volumes around quarterly EA only.…”
Recent literature reports higher single stock options (SSO) volume before earnings announcements (EA). There are no studies that explore single stock futures (SSF) in this context because of illiquid SSF markets in developed countries. Similar to SSO, SSF provide embedded leverage and facilitate short selling although at a lower cost, but do not provide downside‐risk protection. India’s liquid SSO and SSF provide a unique setting to study the preference of informed traders. We observe an increase in both SSO and SSF volume before EA. Further, SSF dominate SSO possibly due to SSO becoming expensive before EA and higher information leakage in India.
“…But both stock and option quote revisions had a predictive capacity for subsequent quote revisions, and the options trades contain less information than stock trades. Conover and Peterson (1999) and Mazouz, Wu, and Yin (2015) found out that the stock market led the options market in case of positive news. But during the post-regulation period, no lead-lag structure was identified.…”
Investments are essential as the growth of the stock market denoted through increased investments results in the growth of the economy. But they are always subject to various risks in the market. These risks are to be mitigated for the development of an efficient economic system by the market itself. Apart from the stock segment, the Indian financial market is a home for futures and options segments that facilitate the hedging of risks involved in the investments. For considering any derivative market as a hedging tool, one of the prerequisites is the presence of integration between such derivative market and its underlying market. The present study focuses on testing the relationship between Indian stock market and the options market, represented by NSE Nifty 50 index and index options on it respectively, to know whether the options segment is suitable for hedging the risks implicit with investments in the stock market, with substantial consideration to payoff structure of the market denoted by different moneyness groups viz.
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