The payoff for an average price (Asian) option is the
difference between the strike price and the average price of the underlying
instrument over a certain time period.
In essence, these options allow the buyer to purchase (or sell) the
underlying asset at the average price instead of the spot price. These options have become prevalent in
commodity and foreign exchange markets where a party may have regular and
ongoing transactions in a particular instrument and a desire to hedge itself
against price fluctuations. Also,
average price options are used in situations where the purchaser wants to cover
many spot transactions using only one hedging instrument or in situations where
it is prudent to reduce the dependence of an option on the spot price of the
underlying on only one date. In general
(but not always), average price options are less expensive than their European
counterparts. Intuitively this makes
sense, as the volatility of the average price is less than the volatility of
the spot price.
As an example, consider a regular consumer of crude oil
whose price of supply is not fixed, but is set weekly from a particular
benchmark. He/she is concerned that
there may be a spike in oil prices over the next few months and wants to hedge
himself/herself using options. He/she
requires that the payoff of the hedge reflects the weekly purchases made over a
specified time period. An average price
option can be tailored to meet these requirements by including the use of
weekly price settings over the applicable period. This option captures changes in the commodity
over the averaging period and is significantly less expensive than the
alternative of purchasing a basket of European options each maturing on a given
fixing date.
Most average price options use an arithmetic average and
sample at discrete regular time intervals such as daily, weekly or monthly
closing prices. However, it is possible
that transactions are made with irregular sampling periods. FINCAD provides functions for valuing
European, Bermudan and American style Asian options in all of these situations.
The Asian option payoff function is:
where:
is the average at
the expiry date
is the strike
is 1 for
a call, -1 for a put
Suppose an underlying satisfies the same assumptions as
those in the Black-Scholes model. In
particular, the underlying is assumed to follow a geometric diffusion process
with a constant volatility.
Unfortunately, the value of an arithmetic average Asian option cannot be
written as a compact, easily solvable, analytical formula like the value of a
call or put option in the Black -Scholes model.
The value of the option must be solved for using iterative techniques
(like
The function aaAsian uses an
analytical approximation for the value of the option based on an Edgeworth
expansion (see [3]) of the probability distribution of the undetermined
component of the average. This is a fast
and reliable technique and can be considered accurate for volatilities up to
30%. As the volatility increases, the
approximation becomes less accurate and users may prefer to use other valuation
techniques like
For details about the calculation of Greeks, see the Greeks of Options on
non-Interest Rate Instruments FINCAD Math Reference document.
aaAsian
(price_u, ex, average, freq, d_exp, d_v, d_aver, vlt, rate_ann, cost_hldg,
option_type, stat)
This function returns fair value and a full slate of risk
statistics (delta, gamma, vega and rho) for a European style Asian option. It uses an approximating expansion (see [3]) to value the option and hence is very
computationally efficient and in most situations (European style with regular
sampling periods), it provides very good results. However, as the volatility increases, the
quality of the approximation deteriorates.
As well, the approximation is only valid for regular sampling periods.
aaAsian_MC
(price_u, ex, d_v, d_exp, d_aver, average, vlt, rate_ann, cost_hldg,
option_type, freq, num_rnd, stat)
aaAsian_fs_MC
(price_u, ex, d_v, d_exp, d_aver, average, vlt, rate_ann, cost_hldg, option_type,
sam_seq, num_rnd, stat)
These functions return, by
aaGeo_Asian
(price_u, ex, d_v, d_exp, d_aver, average, vlt, rate_ann, cost_hldg, sam_freq,
option_type, stat)
aaGeo_Asian_fs
(price_u, ex, d_v, d_exp, d_aver, average, vlt, rate_ann, cost_hldg, sam_freq,
option_type, stat)
These functions return the fair value and delta for a
European style geometric average price option
with periodic (aaGeo_Asian)
or user-defined sampling points (aaGeo_Asian_fs).
A statistical measure of the accuracy of the approximations is also provided.
Geometric vs. arithmetic price averaging - Consider a
stock whose price has been sampled at several dates. The Arithmetic average is the sum of the
stock values divided by the number of sampling points. The Geometric average is the nth root of the
product of the n sample points. Geometric Asian options, though not used in
practice, are useful because of they offer nice analytic properties and they
often form the basis of a good initial guess for the price of an arithmetic
Asian option. This property is used, in FINCAD
functions, to improve the
aaAsian_fs_am_MC (price_u,
ex, d_v, d_exp, d_aver, average ,vlt, d_berm_list, r_or_df_crv, intrp, cost_hldg,
option_type, option_style, sam_seq, time_steps, MC_para, stat)
aaAsian_am_MC (price_u,
ex, d_v, d_exp, d_aver, average, vlt, d_exer_list, r_or_df_crv, intrp, cost_hldg,
option_type, option_style, sam_freq, hl, time_steps, MC_para, stat)
These functions return, by
There are also functions that value European style options
on the average spread, options on the average of a basket and options on the
best of a basket of Asian options on multiple assets.
There are several other types of Asian option functions
available.
For European style options:
Spread Options aaAsian_spread_MC(), aaAsian_spread_fs_MC()
Basket Options aaAsian_basket_MC(), aaAsian_basket_fs_MC()
Quanto aaQuanto_Asian(), aaQuanto_Geo_Asian(), aaQuanto_Geo_Asian_fs()
Quanto Basket aaQuanto_asian_basket_MC(), aaQuanto_asian_basket_fs_MC()
Multi-Asset aaMulti_Asian_MC(), aaMulti_Asian_fs_MC()
FX SpecificaaFX_Asian()
For Bermudan and American style options:
These functions can value basket Asian options
and can also handle time-dependent strike prices.
Calculate the fair value of an average price call option
on an underlying with spot price of $18.00 and strike price of $18.27. Today’s date is February 1, 1996 and the
option expires on
April 1, 1996. The payoff at expiration
is based on the average daily closing prices starting January 2, 1996. Currently, the average is $18.27. The riskless rate is 5.0 %, while the
underlying provides no yield. Annual
volatility is 20%.
aaAsian
Argument |
Description |
Example Data |
Switch |
price_u |
spot price of underlying instrument |
18 |
|
ex |
exercise (strike) price |
17.5 |
|
average |
If averaging has already begun, enter the current value of
the average. If averaging starts in the future, enter zero. |
18.27 |
|
freq |
sampling frequency of the average |
6 |
daily |
d_exp |
option expiry date (and date when averaging ends) |
1-Apr-1996 |
|
d_v |
value date |
1-Feb-1996 |
|
d_aver |
date when averaging (sampling) begins. |
1-Jan-1996 |
|
vlt |
annualized volatility of the spot price of the underlying
instrument |
0.2 |
|
rate_ann |
risk free discount rate for the period from the value date
to the expiry date |
0.05 |
|
cost_hldg |
cost of holding the option rather than the underlying
instrument |
0 |
|
option_type |
call or put |
1 |
call |
stat |
stat list |
1, 2 |
|
Results
Statistic |
Description |
Value |
1 |
fair value of the option. |
0.66831479 |
2 |
delta: sensitivity
of the option price to small changes in the spot price. |
0.57532008 |
[1]
Haug, E.G., (1998) The
Complete Guide to Option Pricing Formulas, McGraw-Hill.
[2]
[3]
Kemna and
[4]
Levy, E. and Turnbull, S. (1992) ‘Average
Intelligence, From Black Scholes to Black Holes’, London England, Risk Magazine
Ltd.
[6]
Rubinstein, M. (1991) ‘Asian Options’,
[7]
Turnbull S. and Wakeman, L.M., (September 1991)
‘A Quick Algorithm for Pricing European Average Options’, Journal of Financial
and Quantitative Analysis, 26.
[8]
Wilmott P., (1998) Derivatives,
NY, John Wiley & Sons, Inc.
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