minassetsensbystulz
Determine European rainbow option prices or sensitivities on minimum of two risky assets using Stulz option pricing model
Syntax
Description
computes option prices using the Stulz option
pricing model.PriceSens
= minassetsensbystulz(RateSpec
,StockSpec1
,StockSpec2
,Settle
,Maturity
,OptSpec
,Strike
,Corr
)
specifies options using one or more optional
name-value pair arguments in addition to the input
arguments in the previous syntax.PriceSens
= minassetsensbystulz(___,Name,Value
)
Examples
Compute Rainbow Option Prices and Sensitivities Using the Stulz Option Pricing Model
Consider a European rainbow put option that gives the holder the right to sell either stock A or stock B at a strike of 50.25, whichever has the lower value on the expiration date May 15, 2009. On November 15, 2008, stock A is trading at 49.75 with a continuous annual dividend yield of 4.5% and has a return volatility of 11%. Stock B is trading at 51 with a continuous dividend yield of 5% and has a return volatility of 16%. The risk-free rate is 4.5%. Using this data, if the correlation between the rates of return is -0.5, 0, and 0.5, calculate the price and sensitivity of the minimum of two assets that are European rainbow put options. First, create the RateSpec
:
Settle = datetime(2000,11,15); Maturity = datetime(2009,5,15); Rates = 0.045; Basis = 1; RateSpec = intenvset('ValuationDate', Settle, 'StartDates', Settle,... 'EndDates', Maturity, 'Rates', Rates, 'Compounding', -1, 'Basis', Basis)
RateSpec = struct with fields:
FinObj: 'RateSpec'
Compounding: -1
Disc: 0.6822
Rates: 0.0450
EndTimes: 8.5000
StartTimes: 0
EndDates: 733908
StartDates: 730805
ValuationDate: 730805
Basis: 1
EndMonthRule: 1
Create the two StockSpec
definitions.
AssetPriceA = 49.75;
AssetPriceB = 51;
SigmaA = 0.11;
SigmaB = 0.16;
DivA = 0.045;
DivB = 0.05;
StockSpecA = stockspec(SigmaA, AssetPriceA, 'continuous', DivA)
StockSpecA = struct with fields:
FinObj: 'StockSpec'
Sigma: 0.1100
AssetPrice: 49.7500
DividendType: {'continuous'}
DividendAmounts: 0.0450
ExDividendDates: []
StockSpecB = stockspec(SigmaB, AssetPriceB, 'continuous', DivB)
StockSpecB = struct with fields:
FinObj: 'StockSpec'
Sigma: 0.1600
AssetPrice: 51
DividendType: {'continuous'}
DividendAmounts: 0.0500
ExDividendDates: []
Calculate price and delta for different correlation levels.
Strike = 50.25; Corr = [-0.5;0;0.5]; OptSpec = 'put'; OutSpec = {'Price'; 'delta'}; [P, D] = minassetsensbystulz(RateSpec, StockSpecA, StockSpecB,... Settle, Maturity, OptSpec, Strike, Corr, 'OutSpec', OutSpec)
P = 3×1
10.0002
9.1433
8.1622
D = 3×2
-0.2037 -0.2192
-0.1774 -0.2101
-0.1452 -0.2075
The output Delta
has two columns: the first column represents the Delta
with respect to the stock A (asset 1), and the second column represents the Delta
with respect to the stock B (asset 2). The value 0.4183 represents Delta
with respect to the stock A for a correlation level of -0.5. The Delta
with respect to stock B, for a correlation of zero is -0.3189.
Input Arguments
RateSpec
— Annualized, continuously compounded rate term structure
structure
Annualized, continuously compounded rate
term structure, specified using intenvset
.
Data Types: structure
StockSpec1
— Stock specification for asset 1
structure
Stock specification for asset 1, specified
using stockspec
.
Data Types: structure
StockSpec2
— Stock specification for asset 2
structure
Stock specification for asset 2, specified
using stockspec
.
Data Types: structure
Settle
— Settlement or trade dates
datetime array | string array | date character vector
Settlement or trade dates, specified as an
NINST
-by-1
vector using a datetime array, string array, or
date character vectors.
To support existing code, minassetsensbystulz
also
accepts serial date numbers as inputs, but they are not recommended.
Maturity
— Maturity dates
datetime array | string array | date character vector
Maturity dates, specified as an
NINST
-by-1
vector using a datetime array, string array, or
date character vectors.
To support existing code, minassetsensbystulz
also
accepts serial date numbers as inputs, but they are not recommended.
OptSpec
— Option type
cell array of character vectors with a value of 'call'
or 'put'
Option type, specified as an
NINST
-by-1
cell array of character vectors with a value of
'call'
or
'put'
.
Data Types: cell
Strike
— Strike prices
vector
Strike prices, specified as an
NINST
-by-1
vector.
Data Types: double
Corr
— Correlation between the underlying asset prices
vector
Correlation between the underlying asset
prices, specified as an
NINST
-by-1
vector.
Data Types: double
Name-Value Arguments
Specify optional pairs of arguments as
Name1=Value1,...,NameN=ValueN
, where Name
is
the argument name and Value
is the corresponding value.
Name-value arguments must appear after other arguments, but the order of the
pairs does not matter.
Before R2021a, use commas to separate each name and value, and enclose
Name
in quotes.
Example: [PriceSens] =
minassetsensbystulz(RateSpec,
StockSpecA,StockSpecB,Settle,Maturity,OptSpec,Strike,Corr,'OutSpec',OutSpec)
OutSpec
— Define outputs
{'Price'}
(default) | cell array of character vectors with values 'Price'
,
'Delta'
,
'Gamma'
,
'Vega'
,
'Lambda'
,
'Rho'
,
'Theta'
, and
'All'
Define outputs, specified as the
comma-separated pair consisting of
'OutSpec'
and a
NOUT
- by-1
or 1
-by-NOUT
cell array of character vectors or string array
with possible values of
'Price'
,
'Delta'
,
'Gamma'
,
'Vega'
,
'Lambda'
,
'Rho'
,
'Theta'
, and
'All'
.
OutSpec = {'All'}
specifies that the output is
Delta
,
Gamma
, Vega
,
Lambda
, Rho
,
Theta
, and
Price
, in that order. This is
the same as specifying OutSpec
to include each sensitivity:
Example: OutSpec =
{'delta','gamma','vega','lambda','rho','theta','price'}
Data Types: cell
Output Arguments
PriceSens
— Expected prices or sensitivities
vector
Expected prices or sensitivities, returned
as an
NINST
-by-1
or
NINST
-by-2
vector.
More About
Rainbow Option
A rainbow option payoff depends on the relative price performance of two or more assets.
A rainbow option gives the holder the right to buy or sell the best or worst of two securities, or options that pay the best or worst of two assets. Rainbow options are popular because of the lower premium cost of the structure relative to the purchase of two separate options. The lower cost reflects the fact that the payoff is generally lower than the payoff of the two separate options.
Financial Instruments Toolbox™ supports two types of rainbow options:
Minimum of two assets — The option holder has the right to buy(sell) one of two risky assets, whichever one is worth less.
Maximum of two assets — The option holder has the right to buy(sell) one of two risky assets, whichever one is worth more.
For more information, see Rainbow Option.
Version History
Introduced in R2009aR2022b: Serial date numbers not recommended
Although minassetsensbystulz
supports serial date numbers,
datetime
values are recommended instead. The
datetime
data type provides flexible date and time
formats, storage out to nanosecond precision, and properties to account for time
zones and daylight saving time.
To convert serial date numbers or text to datetime
values, use the datetime
function. For example:
t = datetime(738427.656845093,"ConvertFrom","datenum"); y = year(t)
y = 2021
There are no plans to remove support for serial date number inputs.
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