The purpose of this problem is to price options based on real data with the Black-Scholes model. Consider your selected stock for the semester (used in Prob. 2 of HW#4) and the same options considered in that problem. Remember that the parameters μ and σ were already estimated in part (a) of that problem. You are welcome to consider the dates and parameters obtained then, or reestimate the data with more up-to-date data, it's up to you. Also notice that the parameter μ for the Black-Scholes model is slightly different than it is for the CRR model. (a) Price the call options using the Black-Scholes formula, using the parameters esti- mated from your data. (b) Compare your results to the market price and comment on the accuracy of your results and what could explain the differences. (c) Repeat question (a) and (b) for the put options, either using the Black-Scholes formula for a put or the put-call parity formula (see Prob. 1). Comment on the accuracy of your results and explain any discrepancies between your estimate and the market price.
The purpose of this problem is to price options based on real data with the Black-Scholes model. Consider your selected stock for the semester (used in Prob. 2 of HW#4) and the same options considered in that problem. Remember that the parameters μ and σ were already estimated in part (a) of that problem. You are welcome to consider the dates and parameters obtained then, or reestimate the data with more up-to-date data, it's up to you. Also notice that the parameter μ for the Black-Scholes model is slightly different than it is for the CRR model. (a) Price the call options using the Black-Scholes formula, using the parameters esti- mated from your data. (b) Compare your results to the market price and comment on the accuracy of your results and what could explain the differences. (c) Repeat question (a) and (b) for the put options, either using the Black-Scholes formula for a put or the put-call parity formula (see Prob. 1). Comment on the accuracy of your results and explain any discrepancies between your estimate and the market price.
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 92E
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select bmw stock. you can assume the price of the stock

Transcribed Image Text:The purpose of this problem is to price options based on real data with the Black-Scholes
model.
Consider your selected stock for the semester (used in Prob. 2 of HW#4) and the
same options considered in that problem. Remember that the parameters μ and σ were
already estimated in part (a) of that problem. You are welcome to consider the dates
and parameters obtained then, or reestimate the data with more up-to-date data, it's up
to you. Also notice that the parameter μ for the Black-Scholes model is slightly different
than it is for the CRR model.
(a) Price the call options using the Black-Scholes formula, using the parameters esti-
mated from your data.
(b) Compare your results to the market price and comment on the accuracy of your
results and what could explain the differences.
(c) Repeat question (a) and (b) for the put options, either using the Black-Scholes
formula for a put or the put-call parity formula (see Prob. 1). Comment on the
accuracy of your results and explain any discrepancies between your estimate and
the market price.
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