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Financial part summary of the bo

Financial part summary of the bo

作者: 茱菁蔓 | 来源:发表于2017-01-09 11:05 被阅读0次

    The book is "modeling financial markets with Excel and VBA ".

    Modeling tick data. then produce bar data chart. later found that the return is approximately normal.

    Modeling time series data. (like using an SDE and volatility estimation methods involved )(to be continued)

    Simulating European Call Option

    Function Sim_Eur_Call(S As Double, X As Double, r As Double, _

    t As Double, sigma As Double) As Double

    Dim sum_payoffs As Double

    Dim i As Integer

    For i = 1 To 1000

    ST = S * Exp(Application.NormSInv(Rnd) * sigma * Sqr(t))

    sum_payoffs = sum_payoffs + Max(ST - X, 0#)

    Next i

    Sim_Eur_Call = Exp(-r * t) * (sum_payoffs / 1000)

    End Function

    Function Max(a As Double, b As Double) As Double

    If a >= b Then

    Max = a

    Else

    Max = b

    End If

    End Function

    Binomial Tree way

    BS Formula way

    Public Function BS_Eur_Call(S As Double, X As Double, r As Double, _

    t As Double, sigma As Double) As Double

    Dim d1 As Double

    Dim d2 As Double

    d1 = (Log(S / X) + (r + sigma ^ 2 / 2) * t) / (sigma * Sqr(t))

    d2 = d1 - sigma * Sqr(t)

    BS_Eur_Call = S * Application.NormSDist(d1) - X * Exp(-r * t) * _

    Application.NormSDist(d2)

    End Function

    Calculating implied volatility(二分法找方程根)

    Function Implied_Vol(S As Double, X As Double, r As Double, _

    t As Double, price As Double) As Double

    Dim High As Double

    Dim Low As Double

    Dim test_price As Double

    Dim test_vol As Double

    High = 1

    Low = 0

    Do While (High - Low) > 0.00001

    test_vol = (High + Low) / 2

    test_price = BS_Eur_Call(S, X, r, t, test_vol)

    If (test_price > price) Then

    High = test_vol

    Else

    Low = test_vol

    End If

    Loop

    Implied_Vol = test_vol

    End Function

    Calculating American Option

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