price equity, fx, commodity, or energy instruments -凯发k8网页登录
an equity derivative is a contract whose value is at least partly derived from one or more underlying equity, foreign exchange (fx), commodity, or energy securities. this toolbox provides functionality to price, compute sensitivity and hedging analysis to many equity securities. you can price vanilla, asian, lookback, barrier, and spread options with pricing models that include lattice models, monte carlo simulations, multiple closed-form solutions, and finite differences methods.
the object-based framework supports a workflow for creating instruments, models, and pricer objects to price financial instruments. using these objects, you can price interest-rate, inflation, equity, commodity, fx, or credit derivative instruments. the object-based workflow is an alternative to pricing financial instruments using functions. working with modular objects for instruments, models, and pricers, you can easily reuse these objects to compare instrument prices for different models and pricing engines. you can use the object-based workflow to price a single instrument or to price a collection of instruments in a portfolio. for more information on the workflow, see .
create an equity, fx, or commodity instrument object using , then associate a model using , and then specify a pricing method using .
functions
live editor tasks
calibrate option pricing model in the live editor |
objects
topics
this example shows the workflow to price a commodity
spread
instrument when you use ablackscholes
model andkirk
andbjerksundstensland
analytic pricing methods.this example shows how to compare european
vanilla
instrument call option prices using ablackscholes
model and different pricing methods.this example shows how to compare arithmetic and geometric asian option prices using the
blackscholes
model and various pricing methods.- hedge options using reinforcement learning toolbox™
outperform the traditional bsm approach using an optimal option hedging policy.
this example shows how to use deep learning toolbox™ to train a network and obtain predictions on barrier option prices with a heston model.
this example shows how to use the calibrate pricing model live editor task to calibrate a
heston
pricing model to call option prices from the market.this example demonstrates a workflow for pricing weather derivatives based on historically observed temperature data.
use objects to model and price financial instruments.
select instruments, associated models, and associated pricers.
the following table lists the interest-rate instrument objects with their associated models and pricers and supported
exercise
styles.mapping functions to a workflow using objects for instruments, models, and pricers.