EconPapers    
Economics at your fingertips  
 

Numerical Approximation of the Implied Volatility Under Arithmetic Brownian Motion

Jaehyuk Choi, Kwangmoon Kim and Minsuk Kwak

Applied Mathematical Finance, 2009, vol. 16, issue 3, 261-268

Abstract: We provide an accurate approximation method for inverting an option price to the implied volatility under arithmetic Brownian motion, which is widely quoted in Fixed Income markets. The maximum error in the volatility is in the order of 10-10 of the given option price and much smaller for the near-the-money options. Thus our approximation can be used as an exact solution without further refinements of iterative methods.

Keywords: Normal implied volatility; basis point volatility; arithmetic Brownian motion; rational approximation; closed form approximation (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/13504860802583436 (text/html)
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:taf:apmtfi:v:16:y:2009:i:3:p:261-268

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAMF20

DOI: 10.1080/13504860802583436

Access Statistics for this article

Applied Mathematical Finance is currently edited by Professor Ben Hambly and Christoph Reisinger

More articles in Applied Mathematical Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:apmtfi:v:16:y:2009:i:3:p:261-268