# Really easy project! Create one excel add-in using XLL+ in Visual Studio Platform with Code Provided

Budget $30-45 USD

Code are provided for problem a-c as the attachments, XLL+ will be needed.

(Comparing binomial and trinomial option pricing) This problem asks you to create one

Excel add-in which has functions for the Black-Scholes formula, binomial option pricing

and trinomial option pricing. You can use the C code you created in the solutions to

previous homework assignments or the code provided in the solutions or lecture files.

The three Excel functions created in this problem should be placed in a single Excel add-

in called xllp bs.xll. Make sure that the .xll is compiled in Release mode. The XLL+

source code should be in a file named xllp [url removed, login to view] and the non-XLL+ source code (e.g.,

which contains the option pricing and supporting routines) should be in a separate file

bs [url removed, login to view] with corresponding header file bs routines.h. You might also want to

have a separate file containing NR routines nr [url removed, login to view] and corresponding header

file nr routines.h.

(a) Use XLL+ to create an Excel function bs call(S, σ, δ, r , T, K) which returns the

Black-Scholes price of a European call option. Test the function with the parameters:

S = 100, σ = 0.6, δ = 0.01, r = 0.05, T = 3, and K = 102.

(b) Use XLL+ to create an Excel function binomial call(S, σ, δ, r , T, K, n) which returns

the binomial approximation to the price of a European call option using n time steps

and the CPU time in seconds. The function binomial call is an Excel array function

because it returns two results in an array. The results should appear in a column.

Test the function with the same parameters as in (a) together with n = 100.

(c) Use XLL+ to create an Excel function trinomial call(S, σ, δ, r , T, K, λ, n) which

returns the trinomial approximation to the price of a European call option using the

trinomial stretch parameter λ and n time steps and also returns the CPU time in

seconds. The two results should be returned in a column array. Test the function

with the same parameters as in (a) together with λ =

√3/2 and n = 100.

(d) (Extra credit) This part asks you to create a graph in Excel of average absolute error

versus average CPU time. The graph should contain two series, one corresponding

to the binomial method and the other corresponding to the trinomial method. Each

series of results should correspond to n = 2000, 4000, 8000, and 16000 time steps.

For each value of n, price European call options using the binomial method, with

the same parameters as in (a), but for the eleven strikes 90, 92, . . . , 110. For each

strike compute the absolute value of the error (where the error is the binomial price

compared to the Black-Scholes price), and then average the results to compute the

average absolute error. Also average the CPU time over the eleven options priced.

Then repeat for each of the four values of n, giving four values of average absolute

error and average CPU time for the binomial method. Repeat the process for the

trinomial method. Plot the resulting two series of binomial and trinomial results of

the average absolute error versus average CPU time with the axes both in logarithmic

scale.

Hint: Set up the spreadsheet and graph for smaller values of n, e.g, n = 200, 400, 800

and 1600. When this is working properly, change the values of n to the larger set.

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Ready to initiate the project and willing to deliver the perfect output you desire. Details on PM