void	s30sac (Nag_OrderType order, Nag_CallPut option, Integer m, Integer n, const double x[], double s, const double t[], double sigma, double r, double b, double p[], NagError *fail)

The function may be called by the names: s30sac, nag_specfun_opt_asian_geom_price or nag_asian_geom_price.

3 Description

s30sac computes the price of an Asian geometric continuous average-rate option for constant volatility,

σ

, risk-free rate,

r

, and cost of carry,

b

(see Kemna and Vorst (1990)). For a given strike price,

X

, the price of a call option with underlying price,

S

, and time to expiry,

T

, is

P_{call} = S e^{(\bar{b} - r) T} Φ ({\bar{d}}_{1}) - X e^{- r T} Φ ({\bar{d}}_{2}),

and the corresponding put option price is

P_{put} = X e^{- r T} Φ (- {\bar{d}}_{2}) - S e^{(\bar{b} - r) T} Φ (- {\bar{d}}_{1}),

where

{\bar{d}}_{1} = \frac{\ln (S / X) + (\bar{b} + {\bar{σ}}^{2} / 2) T}{\bar{σ} \sqrt{T}}

and

{\bar{d}}_{2} = {\bar{d}}_{1} - \bar{σ} \sqrt{T},

with

\bar{σ} = \frac{σ}{\sqrt{3}}, \bar{b} = \frac{1}{2} (r - \frac{σ^{2}}{6}) .

Φ

is the cumulative Normal distribution function,

Φ (x) = \frac{1}{\sqrt{2 π}} \int_{- \infty}^{x} \exp (- y^{2} / 2) d y .

The option price

P_{i j} = P (X = X_{i}, T = T_{j})

is computed for each strike price in a set

X_{i}

i = 1, 2, \dots, m

, and for each expiry time in a set

T_{j}

j = 1, 2, \dots, n

4 References

Kemna A and Vorst A (1990) A pricing method for options based on average asset values Journal of Banking and Finance 14 113–129

5 Arguments

1: $order$ – Nag_OrderType Input

On entry: the order argument specifies the two-dimensional storage scheme being used, i.e., row-major ordering or column-major ordering. C language defined storage is specified by

order = Nag_RowMajor

. See Section 3.1.3 in the Introduction to the NAG Library CL Interface for a more detailed explanation of the use of this argument.

Constraint:

order = Nag_RowMajor

Nag_ColMajor

2: $option$ – Nag_CallPut Input

On entry: determines whether the option is a call or a put.

$option = Nag_Call$: A call; the holder has a right to buy.
$option = Nag_Put$: A put; the holder has a right to sell.

Constraint:

option = Nag_Call

Nag_Put

3: $m$ – Integer Input

On entry: the number of strike prices to be used.

Constraint:

m \geq 1

4: $n$ – Integer Input

On entry: the number of times to expiry to be used.

Constraint:

n \geq 1

5: $x [m]$ – const double Input

On entry:

x [i - 1]

must contain

X_{i}

, the

i

th strike price, for

i = 1, 2, \dots, m

Constraint:

x [i - 1] \geq z ​ and ​ x [i - 1] \leq 1 / z

, where

z = nag_real_safe_small_number

, the safe range parameter, for

i = 1, 2, \dots, m

6: $s$ – double Input

On entry:

S

, the price of the underlying asset.

Constraint:

s \geq z ​ and ​ s \leq 1.0 / z

, where

z = nag_real_safe_small_number

, the safe range parameter.

7: $t [n]$ – const double Input

On entry:

t [i - 1]

must contain

T_{i}

, the

i

th time, in years, to expiry, for

i = 1, 2, \dots, n

Constraint:

t [i - 1] \geq z

, where

z = nag_real_safe_small_number

, the safe range parameter, for

i = 1, 2, \dots, n

8: $sigma$ – double Input

On entry:

σ

, the volatility of the underlying asset. Note that a rate of 15% should be entered as

0.15

Constraint:

sigma > 0.0

9: $r$ – double Input

On entry:

r

, the annual risk-free interest rate, continuously compounded. Note that a rate of 5% should be entered as

0.05

Constraint:

r \geq 0.0

10: $b$ – double Input

On entry:

b

, the annual cost of carry rate. Note that a rate of 8% should be entered as

0.08

11: $p [m \times n]$ – double Output

Note: where

P (i, j)

appears in this document, it refers to the array element

$p [(j - 1) \times m + i - 1]$ when $order = Nag_ColMajor$ ;
$p [(i - 1) \times n + j - 1]$ when $order = Nag_RowMajor$ .

On exit:

P (i, j)

contains

P_{i j}

, the option price evaluated for the strike price

x_{i}

at expiry

t_{j}

for

i = 1, 2, \dots, m

and

j = 1, 2, \dots, n

12: $fail$ – NagError * Input/Output

The NAG error argument (see Section 7 in the Introduction to the NAG Library CL Interface).

6 Error Indicators and Warnings

NE_ALLOC_FAIL: Dynamic memory allocation failed.
See Section 3.1.2 in the Introduction to the NAG Library CL Interface for further information.
NE_BAD_PARAM: On entry, argument $⟨ value ⟩$ had an illegal value.
NE_INT: On entry, $m = ⟨ value ⟩$ .
Constraint: $m \geq 1$ .

On entry, $n = ⟨ value ⟩$ .
Constraint: $n \geq 1$ .
NE_INTERNAL_ERROR: An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact NAG for assistance.
See Section 7.5 in the Introduction to the NAG Library CL Interface for further information.
NE_NO_LICENCE: Your licence key may have expired or may not have been installed correctly.
See Section 8 in the Introduction to the NAG Library CL Interface for further information.
NE_REAL: On entry, $r = ⟨ value ⟩$ .
Constraint: $r \geq 0.0$ .

On entry, $s = ⟨ value ⟩$ .
Constraint: $s \geq ⟨ value ⟩$ and $s \leq ⟨ value ⟩$ .

On entry, $sigma = ⟨ value ⟩$ .
Constraint: $sigma > 0.0$ .
NE_REAL_ARRAY: On entry, $t [⟨ value ⟩] = ⟨ value ⟩$ .
Constraint: $t [i] \geq ⟨ value ⟩$ .

On entry, $x [⟨ value ⟩] = ⟨ value ⟩$ .
Constraint: $x [i] \geq ⟨ value ⟩$ and $x [i] \leq ⟨ value ⟩$ .

7 Accuracy

The accuracy of the output is dependent on the accuracy of the cumulative Normal distribution function,

Φ

. This is evaluated using a rational Chebyshev expansion, chosen so that the maximum relative error in the expansion is of the order of the machine precision (see s15abc and s15adc). An accuracy close to machine precision can generally be expected.

8 Parallelism and Performance

Background information to multithreading can be found in the Multithreading documentation.

s30sac is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.

Please consult the X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this function. Please also consult the Users' Note for your implementation for any additional implementation-specific information.

9 Further Comments

None.

10 Example

This example computes the price of an Asian geometric continuous average-rate put with a time to expiry of

3

months, a stock price of

80

and a strike price of

85

. The risk-free interest rate is

5 %

per year, the cost of carry is

8 %

and the volatility is

20 %

per year.

s30sa: FL CL CPP AD PY MB

NAG CL Interfaces30sac (opt_​asian_​geom_​price)

▸▿ Contents

1 Purpose

2 Specification

3 Description

4 References

5 Arguments

6 Error Indicators and Warnings

7 Accuracy

8 Parallelism and Performance

9 Further Comments

10 Example

10.1 Program Text

10.2 Program Data

10.3 Program Results

NAG CL Interface
s30sac (opt_asian_geom_price)