Determinants of Implied Volatility Smiles - An Empirical Analysis Using Intraday DAX Equity Options

Rathgeber, Andreas W.; Stadler, Johannes; Ulze, Markus

doi:10.2139/ssrn.3071629

Cited by 1 publication

(1 citation statement)

References 48 publications

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“…Guo et al (2014) examined the effectiveness of the Nelson-Siegel model in forecasting the term structure of implied volatilities. Rathgeber et al (2017) study of DAX equity options from high-frequency trading data confirmed results from earlier studies based on low-frequency data.…”

Section: Literature Reviewsupporting

confidence: 84%

The economic determinants of the implied volatility function for currency options

Bhat¹

2018

IJOEM

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Purpose The purpose of this paper is to ascertain the pattern of the implied volatility function for currency options traded on the National Stock Exchange of India (NSE), identify its potential determinants and to investigate any seasonality in the pattern. Design/methodology/approach The paper examines four different specifications for the implied volatility smile of exchange-traded dollar-rupee options. These specifications are tested by running Ordinary Least Squares (OLS) regressions on a daily basis for all options over the entire sample period. Seven potential determinants for the shape of the volatility function are identified. Contemporaneous and lead-lag relationships between these determinants and the shape of the volatility function are examined using OLS and multivariate VAR. Impulse response functions are employed to test the strength and persistence of the lead-lag relations. Seasonality of the smile pattern is tested using OLS. Findings The study shows that the implied volatility function for dollar-rupee options is asymmetric and varies with the time to maturity of the option. Historical volatility, momentum and jumps in the exchange rate, time to maturity, traded volume of options and volatility in the stock market appear to Granger-cause the shape of the volatility smile. Feedback causality is observed from the shape of the smile to the volatility, momentum and jumps in the exchange rate and trading volume of currency options. A weak day-of-the-week effect is observed in the pattern of the volatility smile. Practical implications The study sheds light on the potential determinants of the smile and highlights the predictive power of the smile which findings can be useful to market practitioners for pricing and hedging of dollar-rupee options. The study has strong practical implications during a period of increased volatility in the dollar-rupee pair. Originality/value Most of the existing literature regarding implied volatility smiles has focused either on the volatility smile of US equity index options or that of major liquid currencies. There is a need for such studies in the context of options on emerging market currencies such as the Indian rupee which are characterized by thin trading and frequent central bank intervention and signaling. To the best of the author’s knowledge this study is the first to focus on the volatility smile of exchange-traded options on the US dollar–Indian rupee.

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Section: Literature Reviewsupporting

confidence: 84%

The economic determinants of the implied volatility function for currency options

Bhat¹

2018

IJOEM

View full text Add to dashboard Cite

show abstract

Determinants of Implied Volatility Smiles - An Empirical Analysis Using Intraday DAX Equity Options

Cited by 1 publication

References 48 publications

The economic determinants of the implied volatility function for currency options

The economic determinants of the implied volatility function for currency options

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