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of a European Optionby David Pintur\251 Maplesoft, a division of Waterloo Maple Inc., 2004

This worksheet demonstrates the use of Maple to compute the payout of a European OptionThe following Maple techniques are highlighted.Development of a custom functionInput of functions using standard math formattingCode generation to C

In the financial marketplace, a distinct competitive advantage can be gained by offering clients innovative products, for example, options on foreign currencies or two year futures on gold. The ability to offer hedging products that are simple to the client, but complex in its underlying structure (for example, a combination of exotic options with zero premium) require custom solutions. When the options are proprietary, a commercial off-the-shelf solution cannot be found due to the latter's inherent limitations and assumptions. Without advanced modeling tools like Maple, traditional model development is slow, arduous and time-consuming. Pages and pages of equations need to be worked through from published papers, models developed and then debugged. Furthermore, the models need to be fully documented to satisfy the requirements of the auditors and risk managers.

restart:

Since the Black-Scholes equation is already part of the Maple library, we can start immediately in Maple. As we develop the model, we add a commentary in the Maple worksheet, which will serve as model documentation once we are finished. Calculations of the Greeks (first and second derivatives) are effortlessly computed by Maple in seconds. By hand, they would have required at least a day of tedious calculations. Alternatively, we could approximate the derivatives using finite difference methods. However, due to the inherent errors introduced when using numerical techniques such as this, we would never achieve the 16 digits accuracy required.Problem definition: Compute the pay out of a European option, and its partial derivatives. Solution: We will create a function called Opt() which will return the undiscounted value of a European option; its "forward value". This function is based upon the Black-Scholes formula, found in Maple's built-in finance package.Opt := (Fwd, Strike, Vol, Time, Interest) -> finance[blackscholes](Fwd, Strike, Interest, Time, Vol);

NiM+SSRPcHRHNiJmKjYnSSRGd2RHRiVJJ1N0cmlrZUdGJUkkVm9sR0YlSSVUaW1lR0YlSSlJbnRlcmVzdEdGJUYlNiRJKW9wZXJhdG9yR0YlSSZhcnJvd0dGJUYlLSZJKGZpbmFuY2VHRiU2I0ktYmxhY2tzY2hvbGVzR0YlNic5JDklOSg5JzkmRiVGJUYl

For the purpose of computing the sensitivities, assign simple variables to the function, and test with a set of values.variables := f, s, v, t, i; values := .6202, .62, .12, 0.833333333333e-1, 0;

NiM+SSp2YXJpYWJsZXNHNiI2J0kiZkdGJUkic0dGJUkidkdGJUkidEdGJUkiaUdGJQ==NiM+SSd2YWx1ZXNHNiI2JyQiJS1pISIlJCIjaSEiIyQiIzdGLCQiLUxMTExMJCkhIzgiIiE=

general := Opt(variables);

NiM+SShnZW5lcmFsRzYiLCYqJkkiZkdGJSIiIiwmLUkkZXJmRzYkSSpwcm90ZWN0ZWRHRi5JKF9zeXNsaWJHRiU2IywkKiosJi1JI2xuR0YtNiMqJkYoRilJInNHRiUhIiJGKSomLCZJImlHRiVGKSokSSJ2R0YlIiIjI0YpRj9GKUkidEdGJUYpRilGKUY+RjlGQSNGOUY/Rj9GQEZARkBGQEYpRilGKSooRjhGKS1JJGV4cEdGLTYjLCQqJkY8RilGQUYpRjlGKSwmLUYsNiMsJComLCYqKEYzRilGPkY5RkFGQkYpKiZGPkYpRkFGQEY5RilGP0ZARkBGQEZARilGKUY5

The function above is the Black-Scholes formula. Substituting in numerical values yieldsevalf(Opt(values));

NiMkIispenomcCcpISM3

NiM+JSZEZWx0YUctJSh1bmFwcGx5RzYkLSUlZGlmZkc2JCUoZ2VuZXJhbEclImZHJSp2YXJpYWJsZXNH

NiM+SSZEZWx0YUc2ImYqNidJImZHRiVJInNHRiVJInZHRiVJInRHRiVJImlHRiVGJTYkSSlvcGVyYXRvckdGJUkmYXJyb3dHRiVGJSwqLUkkZXJmRzYkSSpwcm90ZWN0ZWRHRjRJKF9zeXNsaWJHRiU2IywkKiosJi1JI2xuR0YzNiMqJjkkIiIiOSUhIiJGPyomLCY5KEY/KiQ5JiIiIyNGP0ZHRj85J0Y/Rj9GP0ZGRkFGSSNGQUZHRkdGSEZIRkhGSEY/KixJI1BpR0Y0RkotSSRleHBHRjM2IywkKihGOUZHRkYhIiNGSUZBRkpGP0ZGRkFGSUZKRkdGSEZIKjJGQEY/LUZONiMsJComRkRGP0ZJRj9GQUY/RkxGSi1GTjYjLCQqJCwmKihGOUY/RkZGQUZJRkpGPyomRkZGP0ZJRkhGQUZHRkpGP0Y+RkFGRkZBRklGSkZHRkhGSkYlRiVGJQ==

NiM+JSZHYW1tYUctJSh1bmFwcGx5RzYkLSUlZGlmZkc2JSUoZ2VuZXJhbEclImZHRiwlKnZhcmlhYmxlc0c=For brevity, resulting expression not shown.

NiM+JSVWZWdhRy0lKHVuYXBwbHlHNiQtJSVkaWZmRzYkJShnZW5lcmFsRyUidkclKnZhcmlhYmxlc0c=For brevity, resulting expression not shown.

NiM+JSpkdmRzdHJpa2VHLSUodW5hcHBseUc2JC0lJWRpZmZHNiQlKGdlbmVyYWxHJSJzRyUqdmFyaWFibGVzRw==For brevity, resulting expression not shown.

NiM+JS5kVmVnYWRGb3J3YXJkRy0lKHVuYXBwbHlHNiQtJSVkaWZmRzYlJShnZW5lcmFsRyUidkclImZHJSp2YXJpYWJsZXNHFor brevity, resulting expression not shown.

NiM+JSpkVmVnYWRWb2xHLSUodW5hcHBseUc2JC0lJWRpZmZHNiUlKGdlbmVyYWxHJSJ2R0YsJSp2YXJpYWJsZXNHFor brevity, resulting expression not shown.

Greeks := [ Delta, Gamma, Vega, dvdstrike, dVegadForward, dVegadVol ];

NiM+SSdHcmVla3NHNiI3KEkmRGVsdGFHRiVJJkdhbW1hR0YlSSVWZWdhR0YlSSpkdmRzdHJpa2VHRiVJLmRWZWdhZEZvcndhcmRHRiVJKmRWZWdhZFZvbEdGJQ==

There are numerous ways of presenting the Results. Here are two.

This preserves the accuracy by presenting irrational numbers in surd form. Any transcendental functions (such as erf in this case) will be presented simply as function calls. Maple V can be told to give a floating point numeric result by using the evalf function.Results := [ Opt, op( Greeks ) ];

NiM+SShSZXN1bHRzRzYiNylJJE9wdEdGJUkmRGVsdGFHRiVJJkdhbW1hR0YlSSVWZWdhR0YlSSpkdmRzdHJpa2VHRiVJLmRWZWdhZEZvcndhcmRHRiVJKmRWZWdhZFZvbEdGJQ==

Results( values );

NiM3KSwoLUkkZXJmRzYkSSpwcm90ZWN0ZWRHRihJKF9zeXNsaWJHNiI2IywkKiQiIiMjIiIiRi4kIishKmViSjghIzYkIisrKyssSiEjNSQiKCsrKyJGNkYwLUYmNiMsJEYtJCIrdiJcXCslISM3JCIrKysrK0pGNiwoRiVGLyQiKysrKytdRjZGMComSSNQaUdGKCMhIiJGLkYuRi8kISIjISIpLCRGRCQiKz8lXGtLI0ZKLCRGRCQiKy9Aa1sqKUYzLChGRCRGLkZKRjlGQiQhKysrKytdRjZGMCwkRkQkIistJnlpTCRGMywkRkQkISgzMmYiRjY=

evalf( % );

NiM3KSQiKyl6eiZwJykhIzckIitzK0IxXiEjNSQiK3QhUWkmPSEiKSQiK3NMKSpSciEjNiQhKzZgL29cRikkIisxXic+bSNGLyQhK2A4P3A3ISM4

Using a spreadsheet, we can easily build up an interactive model using the functions defined above then plug in our input data to see the results from the model.NiMlJEZ3ZEc=NiMlJ1N0cmlrZUc=NiMlJFZvbEc=NiMlJVRpbWVHNiMlKUludGVyZXN0Rw==NiMkIiUtaSEiJQ==NiMkIiNpISIjNiMkIiM3ISIjNiMkIipMTExMKSEjNQ==NiMiIiE=NiMsJiUmQmxhY2tHIiIiJShTY2hvbGVzRyEiIg==NiMkIismenomcCcpISM3NiNRJ0dyZWVrczYiNiMlJkRlbHRhRw==NiMkIitfLEIxXiEjNQ==NiMlJkdhbW1hRw==NiMkIit2IVFpJj0hIik=NiMlJVZlZ2FHNiMkIituTCkqUnIhIzY=NiMlKmR2ZHN0cmlrZUc=NiMkISsiUlghb1whIzU=NiMlLmRWZWdhZEZvcndhcmRHNiMkIStzIVJcJioqISM2NiMlKmRWZWdhZFZvbEc=NiMkIStWYD9wNyEjOA==

Finally, once the model has been validated, we wish to create a stand-alone application using the model. Maple can convert the model into optimized C code as simply as this:ResultVector := convert ( Results( variables ), vector ): codegen[C]( ResultVector, optimized );

t1 = 1/s; t3 = log(f*t1); t4 = v*v; t8 = t3+(i+t4/2.0)*t; t9 = 1/v; t10 = t8*t9; t11 = sqrt(t); t12 = 1/t11; t13 = sqrt(2.0); t14 = t12*t13; t17 = erf(t10*t14/2.0); t21 = exp(-i*t); t22 = s*t21; t25 = t10*t12-v*t11; t28 = erf(t25*t13/2.0); t29 = t28+1.0; t32 = sqrt(0.3141592653589793E1); t33 = 1/t32; t34 = t8*t8; t35 = 1/t4; t37 = 1/t; t40 = exp(-t34*t35*t37/2.0); t41 = t33*t40; t43 = t9*t12*t13; t45 = t25*t25; t47 = exp(-t45/2.0); t49 = t22*t33*t47; t50 = 1/f; t57 = t33*t8; t59 = 1/t4/v; t67 = t33*t25; t68 = t22*t67; t69 = f*f; t70 = 1/t69; t73 = t37*t47*t13; t80 = f*t33; t81 = t11*t13; t83 = t8*t35*t14; t84 = t81-t83; t133 = t8*t59*t14; t137 = t4*t4; ResultVector[0] = f*(t17+1.0)/2.0-t22*t29/2.0; ResultVector[1] = t17/2.0+1.0/2.0+t41*t43/2.0-t49*t50*t9*t14/2.0; ResultVector[2] = t41*t50*t43/2.0-t57*t59/t11/t*t50*t40*t13/2.0+t68*t70* t35*t73/2.0+t49*t70*t9*t14/2.0; ResultVector[3] = t80*t40*t84/2.0+t49*t83/2.0; ResultVector[4] = -t80*t40*t1*t9*t14/2.0-t21*t29/2.0+t21*t33*t47*t43/2.0; ResultVector[5] = t41*t84/2.0-t57*t35*t37*t40*t84/2.0-t41*t35*t12*t13/2.0

-t22*t67*t50*t59*t37*t47*t8*t13/2.0+t49*t50*t35*t14/2.0; ResultVector[6] = t80*(-t10+t34*t59*t37)*t40*t84/2.0+t80*t40*(-t9*t11*t13 /2.0+t133)+t68*t34/t137*t73/2.0+t22*t33*t47*t9*t81/2.0-t49*t133;

The above C routine will work stand-alone, providing that we have an erf(x) function in the Math library.

Legal Notice: The copyright for this application is owned by the author(s). Neither Maplesoft nor the author are responsible for any errors contained within and are not liable for any damages resulting from the use of this material.. This application is intended for non-commercial, non-profit use only. Contact the author for permission if you wish to use this application in for-profit 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