Binomial bias in pricing and early exercising American put options. (2nd August 2010)
- Record Type:
- Journal Article
- Title:
- Binomial bias in pricing and early exercising American put options. (2nd August 2010)
- Main Title:
- Binomial bias in pricing and early exercising American put options
- Authors:
- Goldenberg, David H.
- Abstract:
- The binomial algorithm (Cox and Rubinstein, 1985) is an accepted theoretically justifiable standard for measuring the accuracy of American put option pricing algorithms. An important question is whether it also generates accurate estimates of the early exercise boundary (Lamberton, 1993). I show that, in addition to the non-linearity and distribution errors recognised in the literature, the algorithm systematically misprices the early exercise boundary. While convergence to the true boundary ultimately occurs, the convergence rate is slow. An analytic integral equation (Carr et al., 1992) is solved sequentially for the true boundary and is a better benchmark for American put option pricing algorithms.
- Is Part Of:
- International journal of financial markets and derivatives. Volume 1:Number 3(2010)
- Journal:
- International journal of financial markets and derivatives
- Issue:
- Volume 1:Number 3(2010)
- Issue Display:
- Volume 1, Issue 3 (2010)
- Year:
- 2010
- Volume:
- 1
- Issue:
- 3
- Issue Sort Value:
- 2010-0001-0003-0000
- Page Start:
- 274
- Page End:
- 306
- Publication Date:
- 2010-08-02
- Subjects:
- American put options -- binomial algorithm accuracy -- binomial bias -- early exercise boundary -- put option pricing
Derivative securities -- Mathematical models -- Periodicals
Capital market -- Periodicals
332.605 - Journal URLs:
- http://www.inderscience.com/browse/index.php?journalID=307 ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1756-7130
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8673.xml