예제 #1
0
def gamma(flag, F, K, t, r, sigma):
    """Returns the Black gamma of an option.

    :param flag: 'c' or 'p' for call or put.
    :type flag: str
    :param F: underlying futures price
    :type F: float
    :param K: strike price
    :type K: float
    :param t: time to expiration in years
    :type t: float
    :param r: annual risk-free interest rate
    :type r: float
    :param sigma: volatility
    :type sigma: float

    :returns:  float 

    >>> F = 49
    >>> K = 50 
    >>> r = .05
    >>> t = 0.3846
    >>> sigma = 0.2
    >>> flag = 'c'
    >>> v1 = gamma(flag, F, K, t, r, sigma)
    >>> # 0.0640646705882
    >>> v2 = 0.0640646705882
    >>> abs(v1-v2) < .000001
    True
    """

    D1 = d1(F, K, t, r, sigma)
    return pdf(D1) * numpy.exp(-r * t) / (F * sigma * numpy.sqrt(t))
예제 #2
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def gamma(flag, F, K, t, r, sigma):

    """Returns the Black gamma of an option.

    :param flag: 'c' or 'p' for call or put.
    :type flag: str
    :param F: underlying futures price
    :type F: float
    :param K: strike price
    :type K: float
    :param t: time to expiration in years
    :type t: float
    :param r: annual risk-free interest rate
    :type r: float
    :param sigma: volatility
    :type sigma: float

    :returns:  float 

    >>> F = 49
    >>> K = 50 
    >>> r = .05
    >>> t = 0.3846
    >>> sigma = 0.2
    >>> flag = 'c'
    >>> v1 = gamma(flag, F, K, t, r, sigma)
    >>> # 0.0640646705882
    >>> v2 = 0.0640646705882
    >>> abs(v1-v2) < .000001
    True
    """

    D1 = d1(F, K, t, r, sigma)
    return pdf(D1) * numpy.exp(-r * t) / (F * sigma * numpy.sqrt(t))
예제 #3
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def theta(flag, F, K, t, r, sigma):

    """Returns the Black theta of an option.

    :param flag: 'c' or 'p' for call or put.
    :type flag: str
    :param F: underlying futures price
    :type F: float
    :param K: strike price
    :type K: float
    :param t: time to expiration in years
    :type t: float
    :param r: annual risk-free interest rate
    :type r: float
    :param sigma: volatility
    :type sigma: float

    :returns:  float 

    >>> F = 49
    >>> K = 50 
    >>> r = .05
    >>> t = 0.3846
    >>> sigma = 0.2
    >>> flag = 'c'
    >>> v1 = theta(flag, F, K, t, r, sigma)
    >>> v2 = -0.00816236877462
    >>> abs(v1-v2) < .000001
    True
    >>> flag = 'p'
    >>> v1 = theta(flag, F, K, t, r, sigma)
    >>> v2 = -0.00802799155312
    >>> abs(v1-v2) < .000001
    True
    """

    e_to_the_minus_rt = numpy.exp(-r * t)
    two_sqrt_t = 2 * numpy.sqrt(t)

    D1 = d1(F, K, t, r, sigma)
    D2 = d2(F, K, t, r, sigma)
    pdf_d1 = pdf(D1)
    cnd_d2 = cnd(D2)

    first_term = F * e_to_the_minus_rt * pdf(D1) * sigma / two_sqrt_t

    if flag == "c":
        second_term = -r * F * e_to_the_minus_rt * cnd(D1)
        third_term = r * K * e_to_the_minus_rt * cnd(D2)
        return -(first_term + second_term + third_term) / 365.0
    else:
        second_term = -r * F * e_to_the_minus_rt * cnd(-D1)
        third_term = r * K * e_to_the_minus_rt * cnd(-D2)
        return (-first_term + second_term + third_term) / 365.0

    return (first_term - second_term) / 365.0
예제 #4
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def theta(flag, F, K, t, r, sigma):
    """Returns the Black theta of an option.

    :param flag: 'c' or 'p' for call or put.
    :type flag: str
    :param F: underlying futures price
    :type F: float
    :param K: strike price
    :type K: float
    :param t: time to expiration in years
    :type t: float
    :param r: annual risk-free interest rate
    :type r: float
    :param sigma: volatility
    :type sigma: float

    :returns:  float 

    >>> F = 49
    >>> K = 50 
    >>> r = .05
    >>> t = 0.3846
    >>> sigma = 0.2
    >>> flag = 'c'
    >>> v1 = theta(flag, F, K, t, r, sigma)
    >>> v2 = -0.00816236877462
    >>> abs(v1-v2) < .000001
    True
    >>> flag = 'p'
    >>> v1 = theta(flag, F, K, t, r, sigma)
    >>> v2 = -0.00802799155312
    >>> abs(v1-v2) < .000001
    True
    """

    e_to_the_minus_rt = numpy.exp(-r * t)
    two_sqrt_t = 2 * numpy.sqrt(t)

    D1 = d1(F, K, t, r, sigma)
    D2 = d2(F, K, t, r, sigma)
    pdf_d1 = pdf(D1)
    cnd_d2 = cnd(D2)

    first_term = F * e_to_the_minus_rt * pdf(D1) * sigma / two_sqrt_t

    if flag == 'c':
        second_term = -r * F * e_to_the_minus_rt * cnd(D1)
        third_term = r * K * e_to_the_minus_rt * cnd(D2)
        return -(first_term + second_term + third_term) / 365.
    else:
        second_term = -r * F * e_to_the_minus_rt * cnd(-D1)
        third_term = r * K * e_to_the_minus_rt * cnd(-D2)
        return (-first_term + second_term + third_term) / 365.0

    return (first_term - second_term) / 365.0
예제 #5
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def vega(flag, F, K, t, r, sigma):

    """Returns the Black vega of an option.

    :param flag: 'c' or 'p' for call or put.
    :type flag: str
    :param F: underlying futures price
    :type F: float
    :param K: strike price
    :type K: float
    :param t: time to expiration in years
    :type t: float
    :param r: annual risk-free interest rate
    :type r: float
    :param sigma: volatility
    :type sigma: float

    :returns:  float     
    
    ::
    
      ==========================================================
      Note: The text book analytical formula does not multiply by .01,
      but in practice vega is defined as the change in price
      for each 1 percent change in IV, hence we multiply by 0.01.
      ==========================================================
    
    
    >>> F = 49
    >>> K = 50 
    >>> r = .05
    >>> t = 0.3846
    >>> sigma = 0.2
    >>> flag = 'c'
    >>> v1 = vega(flag, F, K, t, r, sigma)
    >>> # 0.118317785624
    >>> v2 = 0.118317785624
    >>> abs(v1-v2) < .000001
    True

    """

    D1 = d1(F, K, t, r, sigma)
    return F * numpy.exp(-r * t) * pdf(D1) * numpy.sqrt(t) * 0.01
예제 #6
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def vega(flag, F, K, t, r, sigma):
    """Returns the Black vega of an option.

    :param flag: 'c' or 'p' for call or put.
    :type flag: str
    :param F: underlying futures price
    :type F: float
    :param K: strike price
    :type K: float
    :param t: time to expiration in years
    :type t: float
    :param r: annual risk-free interest rate
    :type r: float
    :param sigma: volatility
    :type sigma: float

    :returns:  float     
    
    ::
    
      ==========================================================
      Note: The text book analytical formula does not multiply by .01,
      but in practice vega is defined as the change in price
      for each 1 percent change in IV, hence we multiply by 0.01.
      ==========================================================
    
    
    >>> F = 49
    >>> K = 50 
    >>> r = .05
    >>> t = 0.3846
    >>> sigma = 0.2
    >>> flag = 'c'
    >>> v1 = vega(flag, F, K, t, r, sigma)
    >>> # 0.118317785624
    >>> v2 = 0.118317785624
    >>> abs(v1-v2) < .000001
    True

    """

    D1 = d1(F, K, t, r, sigma)
    return F * numpy.exp(-r * t) * pdf(D1) * numpy.sqrt(t) * 0.01
예제 #7
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def delta(flag, F, K, t, r, sigma):

    """Returns the Black delta of an option.

    :param flag: 'c' or 'p' for call or put.
    :type flag: str
    :param F: underlying futures price
    :type F: float
    :param K: strike price
    :type K: float
    :param t: time to expiration in years
    :type t: float
    :param r: annual risk-free interest rate
    :type r: float
    :param sigma: volatility
    :type sigma: float

    :returns:  float 
      
    
    >>> F = 49
    >>> K = 50 
    >>> r = .05
    >>> t = 0.3846
    >>> sigma = 0.2
    >>> flag = 'c'
    >>> v1 = delta(flag, F, K, t, r, sigma)
    >>> v2 = 0.45107017482201828
    >>> abs(v1-v2) < .000001
    True
    """

    D1 = d1(F, K, t, r, sigma)

    if flag == "p":
        return -numpy.exp(-r * t) * cnd(-D1)
    else:
        return numpy.exp(-r * t) * cnd(D1)
예제 #8
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def delta(flag, F, K, t, r, sigma):
    """Returns the Black delta of an option.

    :param flag: 'c' or 'p' for call or put.
    :type flag: str
    :param F: underlying futures price
    :type F: float
    :param K: strike price
    :type K: float
    :param t: time to expiration in years
    :type t: float
    :param r: annual risk-free interest rate
    :type r: float
    :param sigma: volatility
    :type sigma: float

    :returns:  float 
      
    
    >>> F = 49
    >>> K = 50 
    >>> r = .05
    >>> t = 0.3846
    >>> sigma = 0.2
    >>> flag = 'c'
    >>> v1 = delta(flag, F, K, t, r, sigma)
    >>> v2 = 0.45107017482201828
    >>> abs(v1-v2) < .000001
    True
    """

    D1 = d1(F, K, t, r, sigma)

    if flag == 'p':
        return -numpy.exp(-r * t) * cnd(-D1)
    else:
        return numpy.exp(-r * t) * cnd(D1)