EconPapers    
Economics at your fingertips  
 

A sharp approximation for ATM-forward option prices and implied volatilites

Dan Stefanica () and Radoš Radoičić ()
Additional contact information
Dan Stefanica: Baruch College, City University of New York, USA
Radoš Radoičić: Baruch College, City University of New York, USA

International Journal of Financial Engineering (IJFE), 2016, vol. 03, issue 01, 1-24

Abstract: In this paper, we provide an approximation formula for at-the-money forward options based on a Pólya approximation of the cumulative density function of the standard normal distribution, and prove that the relative error of this approximation is uniformly bounded for options with arbitrarily large (or small) maturities and implied volatilities. This approximation is viable in practice: for options with implied volatility less than 95% and maturity less than three years, which includes the large majority of traded options, the values given by the approximation formula fall within the tightest typical implied vol bid–ask spreads. The relative errors of the corresponding approximate option values are also uniformly bounded for all maturities and implied volatilities. The error bounds established here are the first results in the literature holding for all integrated volatilities, and are vastly superior to those of two other approximation formulas analyzed in this paper, including the Brenner–Subrahmanyam formula.

Keywords: Implied volatility; ATM-forward options; Black–Scholes formula; approximation error bounds (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S242478631650002X
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijfexx:v:03:y:2016:i:01:n:s242478631650002x

Ordering information: This journal article can be ordered from

DOI: 10.1142/S242478631650002X

Access Statistics for this article

International Journal of Financial Engineering (IJFE) is currently edited by George Yuan

More articles in International Journal of Financial Engineering (IJFE) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:ijfexx:v:03:y:2016:i:01:n:s242478631650002x