Exemple #1
0
        private double CalculateAsianOptionPrice(double S0, double[] T, double maturity, Func <double, double> payoffFn)
        {
            int nMonitorTimes = T.Length;

            double[][] stockPaths = MonteCarloPaths.ParallelGenerateMcPaths(N, M, maturity, r, S0, ssviParams); // size N x nMonitorTimes


            // the is the average for Asian option price
            double averageAlongPath;

            // this is the MC average
            double averagePayoff = 0;

            for (int n = 0; n < N; ++n)
            {
                averageAlongPath = 0;
                for (int i = 0; i < nMonitorTimes; ++i)
                {
                    int index = (int)Math.Round((T[i] / maturity) * (M - 1));
                    averageAlongPath += stockPaths[n][index];
                }
                averageAlongPath *= 1.0 / nMonitorTimes;
                averagePayoff    += payoffFn(averageAlongPath);
            }
            averagePayoff *= 1.0 / N;
            return(Math.Exp(-r * maturity) * averagePayoff);
        }
Exemple #2
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        private double CalculateBarrierOptionPrice(double S0, double maturity, string DownOrUp, string InOrOut, double barrier, Func <double, double> payoffFn)
        {
            double[][] stockPaths = MonteCarloPaths.ParallelGenerateMcPaths(N, M, maturity, r, S0, ssviParams);
            double     payoff     = 0;

            for (int n = 0; n < N; ++n)
            {
                bool barrierAchieved = false;
                for (int m = 0; m < M; ++m)
                {
                    if (DownOrUp == "D")
                    {
                        if (stockPaths[n][m] <= barrier)
                        {
                            barrierAchieved = true;
                        }
                    }
                    else if (DownOrUp == "U")
                    {
                        if (stockPaths[n][m] >= barrier)
                        {
                            barrierAchieved = true;
                        }
                    }
                    else
                    {
                        throw new ArgumentException("Barrier type must be either D or U");
                    }
                }
                if (barrierAchieved)
                {
                    if (InOrOut == "I")
                    {
                        payoff += payoffFn(stockPaths[n][M - 1]);
                    }
                    else if (InOrOut != "O")
                    {
                        throw new ArgumentException("InOrOut must be I or O.");
                    }
                }
                else
                {
                    if (InOrOut == "O")
                    {
                        payoff += payoffFn(stockPaths[n][M - 1]);
                    }
                    else if (InOrOut != "I")
                    {
                        throw new ArgumentException("InOrOut must be I or O.");
                    }
                }
            }
            return(Math.Exp(-r * maturity) * payoff / N);
        }
Exemple #3
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        private double CalculateEurOptionPrice(double S0, double T, Func <double, double> payoffFn)
        {
            double[][] stockPaths = MonteCarloPaths.ParallelGenerateMcPaths(N, M, T, r, S0, ssviParams);
            double     Price      = 0;

            for (int n = 0; n < N; ++n)
            {
                Price += payoffFn(stockPaths[n][M - 1]);
            }

            return(Math.Exp(-r * T) * (Price / N));
        }
        public static void Main(string[] args)
        {
            //ConstrainedMinimizationTest.RunTest();

            //SsviTests.RunVolatilityTest();

            // MonteCarloTests.RunEurOptionPricing();
            double[]  ssviParams = new double[] { Math.Sqrt(0.1), 1, 0.7, 0.2, 0.3 };
            double    r          = 0.025;
            double    S0         = 100;
            double    T          = 1;
            int       N          = 100000;
            int       M          = 128;
            Stopwatch timer      = Stopwatch.StartNew();

            double[,] paths = MonteCarloPaths.GenerateMcPaths(N, M, T, r, S0, ssviParams);
            timer.Stop();
            TimeSpan serial_length = timer.Elapsed;

            Console.WriteLine("Serial elapsed time = " + serial_length.ToString("mm\\:ss\\.ff"));

            Stopwatch timer1 = Stopwatch.StartNew();

            double[][] paths1 = MonteCarloPaths.ParallelGenerateMcPaths(N, M, T, r, S0, ssviParams);
            timer1.Stop();
            TimeSpan serial_length1 = timer1.Elapsed;

            Console.WriteLine("Parallel elapsed time = " + serial_length1.ToString("mm\\:ss\\.ff"));


            //using (System.IO.StreamWriter file = new System.IO.StreamWriter("Paths.csv"))
            //{
            //    for (int i = 0; i < paths.GetLength(0); ++i)
            //    {
            //        for (int j = 0; j < paths.GetLength(1); ++j)
            //            file.Write(paths[i, j].ToString() + ",");
            //        file.Write(Environment.NewLine);
            //    }
            //}
            Console.WriteLine("All done.");
            Console.ReadKey();
        }
Exemple #5
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        public double CalculateLookbackOptionPrice(double S0, double maturity)
        {
            double[][] stockPaths = MonteCarloPaths.ParallelGenerateMcPaths(N, M, maturity, r, S0, ssviParams);

            double payoff = 0;

            for (int n = 0; n < N; ++n)
            {
                double minValue = double.MaxValue;
                for (int m = 0; m < M; ++m)
                {
                    if (stockPaths[n][m] < minValue)
                    {
                        minValue = stockPaths[n][m];
                    }
                }
                payoff += stockPaths[n][M - 1] - minValue;
            }
            return(Math.Exp(-r * maturity) * payoff / N);
        }
        public static void RunPathBuildTest()
        {
            double[] ssviParams = new double[] { Math.Sqrt(0.1), 1, 0.7, 0.2, 0.3 };
            double   r          = 0.025;
            double   S0         = 100;
            double   T          = 1;
            int      N          = 6;
            int      M          = 4;

            double[,] paths = MonteCarloPaths.GenerateMcPaths(N, M, T, r, S0, ssviParams);
            int rLength = paths.GetLength(0);
            int cLength = paths.GetLength(1);

            for (int i = 0; i < rLength; ++i)
            {
                for (int j = 0; j < cLength; ++j)
                {
                    Console.Write("{0}, ", paths[i, j]);
                }
                Console.WriteLine();
            }
        }