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NAG Toolbox: nag_specfun_opt_lookback_fls_price (s30ba)
Purpose
nag_specfun_opt_lookback_fls_price (s30ba) computes the price of a floating-strike lookback option.
Syntax
[
p,
ifail] = s30ba(
calput,
sm,
s,
t,
sigma,
r,
q, 'm',
m, 'n',
n)
[
p,
ifail] = nag_specfun_opt_lookback_fls_price(
calput,
sm,
s,
t,
sigma,
r,
q, 'm',
m, 'n',
n)
Description
nag_specfun_opt_lookback_fls_price (s30ba) computes the price of a floating-strike lookback call or put option. A call option of this type confers the right to buy the underlying asset at the lowest price, , observed during the lifetime of the contract. A put option gives the holder the right to sell the underlying asset at the maximum price, , observed during the lifetime of the contract. Thus, at expiry, the payoff for a call option is , and for a put, .
For a given minimum value the price of a floating-strike lookback call with underlying asset price,
, and time to expiry,
, is
where
. The volatility,
, risk-free interest rate,
, and annualised dividend yield,
, are constants. When
, the option price is given by
The corresponding put price is (for
),
In the above,
denotes the cumulative Normal distribution function,
where
denotes the standard Normal probability density function
and
where
is taken to be the minimum price attained by the underlying asset,
, for a call and the maximum price,
, for a put.
The option price is computed for each minimum or maximum observed price in a set or , , and for each expiry time in a set , .
References
Goldman B M, Sosin H B and Gatto M A (1979) Path dependent options: buy at the low, sell at the high Journal of Finance 34 1111–1127
Parameters
Compulsory Input Parameters
- 1:
– string (length ≥ 1)
-
Determines whether the option is a call or a put.
- A call; the holder has a right to buy.
- A put; the holder has a right to sell.
Constraint:
or .
- 2:
– double array
-
must contain
, the th minimum observed price of the underlying asset when , or , the maximum observed price when , for .
Constraints:
- , where , the safe range parameter, for ;
- if , , for ;
- if , , for .
- 3:
– double scalar
-
, the price of the underlying asset.
Constraint:
, where , the safe range parameter.
- 4:
– double array
-
must contain
, the th time, in years, to expiry, for .
Constraint:
, where , the safe range parameter, for .
- 5:
– double scalar
-
, the volatility of the underlying asset. Note that a rate of 15% should be entered as 0.15.
Constraint:
.
- 6:
– double scalar
-
, the annual risk-free interest rate, continuously compounded. Note that a rate of 5% should be entered as 0.05.
Constraint:
.
- 7:
– double scalar
-
, the annual continuous yield rate. Note that a rate of 8% should be entered as 0.08.
Constraint:
.
Optional Input Parameters
- 1:
– int64int32nag_int scalar
-
Default:
the dimension of the array
sm.
The number of minimum or maximum prices to be used.
Constraint:
.
- 2:
– int64int32nag_int scalar
-
Default:
the dimension of the array
t.
The number of times to expiry to be used.
Constraint:
.
Output Parameters
- 1:
– double array
-
.
contains , the option price evaluated for the minimum or maximum observed price or at expiry for and .
- 2:
– int64int32nag_int scalar
unless the function detects an error (see
Error Indicators and Warnings).
Error Indicators and Warnings
Errors or warnings detected by the function:
-
-
On entry, was an illegal value.
-
-
Constraint: .
-
-
Constraint: .
-
-
Constraint: for all .
-
-
Constraint: and .
-
-
Constraint: for all .
-
-
Constraint: .
-
-
Constraint: .
-
-
Constraint: .
-
-
Constraint: .
-
An unexpected error has been triggered by this routine. Please
contact
NAG.
-
Your licence key may have expired or may not have been installed correctly.
-
Dynamic memory allocation failed.
Accuracy
The accuracy of the output is dependent on the accuracy of the cumulative Normal distribution function,
. 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
nag_specfun_cdf_normal (s15ab) and
nag_specfun_erfc_real (s15ad)). An accuracy close to
machine precision can generally be expected.
Further Comments
None.
Example
This example computes the price of a floating-strike lookback call with a time to expiry of months and a stock price of . The minimum price observed so far is . The risk-free interest rate is per year and the volatility is per year with an annual dividend return of .
Open in the MATLAB editor:
s30ba_example
function s30ba_example
fprintf('s30ba example results\n\n');
put = 'c';
s = 120;
sigma = 0.3;
r = 0.1;
q = 0.06;
sm = [100.0];
t = [0.5];
[p, ifail] = s30ba( ...
put, sm , s, t, sigma, r, q);
fprintf('\nFloating-strike Lookback\n European Call :\n');
fprintf(' Spot = %9.4f\n', s);
fprintf(' Volatility = %9.4f\n', sigma);
fprintf(' Rate = %9.4f\n', r);
fprintf(' Dividend = %9.4f\n\n', q);
fprintf(' Strike Expiry Option Price\n');
for i=1:1
for j=1:1
fprintf('%9.4f %9.4f %9.4f\n', sm(i), t(j), p(i,j));
end
end
s30ba example results
Floating-strike Lookback
European Call :
Spot = 120.0000
Volatility = 0.3000
Rate = 0.1000
Dividend = 0.0600
Strike Expiry Option Price
100.0000 0.5000 25.3534
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