示例#1
0
 public BinomialMethod(double discounting, BinomialLatticeStrategy strategy, int N)
 {
     disc = discounting;
     str  = strategy;
     BuildLattice(N);
     constraintExists = false;
 }
示例#2
0
    public BinomialMethod(double discounting, BinomialLatticeStrategy strategy, int N,
                          ConstraintMethod constraint)
    {
        disc = discounting;
        str  = strategy;
        BuildLattice(N);

        con = new ConstraintMethod(constraint);
        constraintExists = true;
    }
示例#3
0
    /*  public static double EarlyImpl(double P, double S)
     * {
     *
     *    double K = 10.0;
     *
     *    if (P > K - S)
     *    {
     *        return P;
     *    }
     *    return K - S;
     * }*/

    // This could be made into a member function of Option

    public static void Main()
    {
        // Phase I: Create and initialise the option
        IOptionFactory fac = getFactory();

        int N = 200;

        Console.Write("Number of time steps: ");
        N = Convert.ToInt32(Console.ReadLine());

        double S;

        Console.Write("Underlying price: ");
        S = Convert.ToDouble(Console.ReadLine());

        Option opt = fac.create();

        double k = opt.T / N;

        // Create basic lattice
        double discounting = Math.Exp(-opt.r * k);

        // Phase II: Create the binomial method and forward induction
        BinomialLatticeStrategy binParams = getStrategy(opt.sig, opt.r, k, S, opt.K, N);     // Factory
        BinomialMethod          bn        = new BinomialMethod(discounting, binParams, N);

        bn.modifyLattice(S);

        // Phase III: Backward Induction and compute option price
        Vector <double> RHS = new Vector <double>(bn.BasePyramidVector());

        if (binParams.bType == BinomialType.Additive)
        {
            RHS[RHS.MinIndex] = S * Math.Exp(N * binParams.downValue());
            for (int j = RHS.MinIndex + 1; j <= RHS.MaxIndex; j++)
            {
                RHS[j] = RHS[j - 1] * Math.Exp(binParams.upValue() - binParams.downValue());
            }
        }

        Vector <double> Pay = opt.PayoffVector(RHS);

        double pr = bn.getPrice(Pay);

        Console.WriteLine("European {0}", pr);

        // Binomial method with early exercise
        BinomialMethod bnEarly = new BinomialMethod(discounting, binParams, N, opt.EarlyImpl);

        bnEarly.modifyLattice(S);
        Vector <double> RHS2 = new Vector <double>(bnEarly.BasePyramidVector());
        Vector <double> Pay2 = opt.PayoffVector(RHS2);
        double          pr2  = bnEarly.getPrice(Pay2);

        Console.WriteLine("American {0}", pr2);


        // Display in Excel; first create array of asset mesh points
        int             startIndex = 0;
        Vector <double> xarr       = new Vector <double>(N + 1, startIndex);

        xarr[xarr.MinIndex] = 0.0;
        for (int j = xarr.MinIndex + 1; j <= xarr.MaxIndex; j++)
        {
            xarr[j] = xarr[j - 1] + k;
        }

        // Display lattice in Excel
        ExcelMechanisms exl = new ExcelMechanisms();

        try
        {
            // public void printLatticeInExcel(Lattice<double> lattice, Vector<double> xarr, string SheetName)
            string sheetName = "Lattice";
            exl.printLatticeInExcel(bnEarly.getLattice(), xarr, sheetName);
        }
        catch (Exception e)
        {
            Console.WriteLine(e);
        }
    }