2016
DOI: 10.1108/jamr-09-2015-0062
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Behaviour and determinants of implied volatility in Indian market

Abstract: Purpose The purpose of this paper is to understand the patterns of the implied volatility (IV) of the Indian index option market and its relationship with moneyness (called the volatility smile). Its goal is also to ascertain the determinants of IV. Design/methodology/approach For this purpose, IVs were computed from the daily call and put data of CNX Nifty index options from April 2004 to March 2014. The patterns of IVs were analysed using univariate parametric tests. Multivariate regression analyses were c… Show more

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Cited by 6 publications
(3 citation statements)
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“…Shaikh and Padhi () study Nifty index options from January 2012 to December 2012 and find a classical U‐shaped volatility smile. Narain and Nigam () use Nifty index options prices from 2004 to 2014 and observe that IV of call options with lower strike prices is higher than IV of call options with the higher strike price. Sehgal and Vijayakumar () use daily Nifty index options data of 2004 and 2005, and find the existence of an asymmetric volatility smile.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Shaikh and Padhi () study Nifty index options from January 2012 to December 2012 and find a classical U‐shaped volatility smile. Narain and Nigam () use Nifty index options prices from 2004 to 2014 and observe that IV of call options with lower strike prices is higher than IV of call options with the higher strike price. Sehgal and Vijayakumar () use daily Nifty index options data of 2004 and 2005, and find the existence of an asymmetric volatility smile.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Misra et al (2006), Sehgal and Vijayakumar (2008), Deo et al (2008), Shaikh and Padhi (2014), Shaikh and Padhi (2016) and Narain et al (2016) examined implied volatility functions of stock and index options in the Indian context. Kumar (2012) and Bagchi (2012) studied the relationship between India VIX, an index based on implied volatility of Nifty options, and its relationship with Indian stock market.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Several factors have been found to influence financial decision-making, according to research. When it comes to making investment judgements, investors are not always unbiased because of socioeconomic demographic factors like their personality type, age, gender, income or education among other things (Kumar and Goyal, 2016; Nigam and Pandey, 2016). Investment behaviour explores the link between contrasting demographic attributes, personal awareness and perceived risk attitudes in defining stock market investment behaviour of each and every individual investor (Sarkar and Sahoo, 2018).…”
Section: Theoretical Framework and Literature Reviewmentioning
confidence: 99%