A Recursive Integration Method for Options Pricing

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This Demonstration shows a recursive integral method from [2] for pricing American options. A European financial option is an instrument that allows its holder the right to buy or sell an equity at a future maturity date for a fixed price called the "strike price". An American option allows its holder to exercise the contract at any time up to the maturity date, and because of this, it is worth more than the European option by an amount called the "early exercise premium". For the holder of an American put, the early exercise becomes optimal when the underlying asset price falls below a critical boundary , where the intrinsic value of the option becomes greater than its holding value.
Contributed by: Michail Bozoudis (November 2016)
Open content licensed under CC BY-NC-SA
Snapshots
Details
In this detailed description, the symbols have the following meanings:
is the current time
is the maturity date
is the stock price at time
is the strike price
is the stock dividend yield
is the risk-free interest rate
is the stock volatility
is the cumulative distribution function of the standard normal distribution
is the moving free boundary
is the critical boundary
Let
,
,
and be a non-negative continuous function of time. Consider a contract whose value at time
is given by:
,
where denotes the value at time
of a European put option on
with strike price
and maturity
. The critical boundary
for the American put option is obtained by solving the "value matching condition":
, for
for all
.
The value of the American put option is then given by
.
Subject to the value matching condition, the method in [1] proposes to numerically approximate the critical asset price at time by a recursive procedure. This method requires solving
integral equations, where
is the number of time steps. The method in [2] proposes to evaluate analytically the integrals, assuming that the
remains constant within each time subinterval, instead of employing a numerical technique (e.g. the composite Simpson's rule) to approximate the integrals. The method in [3] further expands this idea by assuming that
is an exponential function within each time subinterval. In this Demonstration, the method in [2] derives as a special case of the method in [3], where the exponential function's exponent is set to zero.
Following the regularized incomplete beta function, the temporal point of the nonuniform time mesh is obtained by
, where
,
and
.
References
[1] I. J. Kim, "The Analytic Valuation of American Options," The Review of Financial Studies, 3(4), 1990 pp. 547–572. www.jstor.org/stable/2962115.
[2] J. Huang, M. G. Subrahmanyam and G. G. Yu, "Pricing and Hedging American Options: A Recursive Integration Method," The Review of Financial Studies, 9(1), 1996 pp. 277–300. www.jstor.org/stable/2962372.
[3] N. Ju, "Pricing an American Option by Approximating Its Early Exercise Boundary as a Multipiece Exponential Function," The Review of Financial Studies, 11(3), 1998 pp. 627–646. www.jstor.org/stable/2646012.
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