Formula Sheet

 

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Contents

Finance

Fundamentals

  • Discrete compounding factor with LaTex: n calculations per year in LaTex: t years from today, the (constant) annual interest rate being LaTex: r:
LaTex:  \text{CPDF}(n, t) = \left( 1 + \frac{r}{n} \right)^{tn}
Values of LaTex: n: 1 = annual, 2 = semi-annual, 4 = quarterly, 12 = monthly, 52 = weekly, 365 = daily, 8760 = hourly, minute-by-minute compounding frequency.
  • Continuous compounding factor:
LaTex:  \text{CPDF}(\infty, t) = \lim_{n \rightarrow \infty} \left( 1 + \frac{r}{n} \right)^{tn} = \left\{ \lim_{n \rightarrow \infty} \left( 1 + \frac{r}{n} \right)^{n/r} \right\}^{rt} = e^{rt}
  • Discrete discounting factor:
LaTex:  \text{DDFT}(n, t) = 1/\text{CPDF}(n, t) = \left(1 + \frac{r}{n}\right) = \left(1 + \frac{r}{n}\right)^{-tn}
  • Continuous discounting factor:
LaTex:  \text{CDCF}(t) = 1/\text{CPDF}(\infty, t) = e^{-rt}

Options

  • Put-call parity:
LaTex:  c - p = S_0 - \frac{K}{(1 + rT)}
  • Put-call delta parity:
LaTex:  \Delta_c - \Delta_p = e^{-r_f \tau}
  • Option pricing theory:
LaTex:  V(S, t) = e^{-r(T - t)} \mathbb{E}_Q [ \text{Option payoff at } T | S, t ]

where LaTex:  Q is a risk-neutral measure.

  • Black-Scholes pricing formulae:
LaTex:  c = S_0 e^{-r_f T} N(d_1) - K e^{-r_d T} N(d_2)
LaTex:  p = K e^{-r_d T} N(-d_2) - S_0 e^{-r_f T} N(-d_1)
  • Greeks:
LaTex:  \Delta_c = e^{-r_f T} N(d_1)
LaTex:  \Delta_p = e^{-r_f T} [N(d_1) - 1]

where

LaTex:  d_1 = \frac{\ln(S_0 / K) + (r_d - r_f + \sigma^2 / 2) T}{\sigma \sqrt{T}}
LaTex:  d_2 = \frac{\ln(S_0 / K) + (r_d - r_f - \sigma^2 / 2) T}{\sigma \sqrt{T}} = d_1 - \sigma \sqrt{T}
  • Volatility smile:
LaTex:  str = \frac{1}{2} (\sigma_{25 \delta c} + \sigma_{25 \delta p}) - atm
LaTex:  rr = \sigma_{25 \delta c} - \sigma_{25 \delta p}

Here LaTex:  str , LaTex:  rr , and LaTex:  atm denote, respectively, the strangle, risk reversal, and at-the-money volatility, and LaTex:  \sigma_{25 \delta c} and LaTex:  \sigma_{25 \delta p} denote the implied volatilities of the 25 delta call and the 25 delta put.

Mathematics

Algebraic identities

An identity is an equality that remains true regardless of the values of any variables that appear within it, to distinguish it from an equality which is true under particular conditions.

  • LaTex:  (a + b)^2 = a^2 + 2ab + b^2
  • LaTex:  (a - b)^2 = a^2 - 2ab + b^2

Factoring formulae

  • LaTex:  a^2 - b^2 = (a + b)(a - b)
  • LaTex:  a^3 - b^3 = (a - b)(a^2 + ab + b^2)
  • LaTex:  a^3 + b^3 = (a + b)(a^2 - ab + b^2)

These identities can be generalised as follows.

For integer LaTex:  n :

  • LaTex:  a^n - b^n = (a - b) (a^{n-1} + a^{n-2} b + \ldots + a^{n-1-k} b^k + \ldots + a b^{n-2} + b^{n-1})

For odd LaTex:  n :

  • LaTex:  a^n + b^n = (a + b) (a^{n-1} - a^{n-2} b + \ldots + (-1)^k a^{n-1-k} b^k + \ldots + (-1)^{n-2} a b^{n-2} + (-1)^{n-1} b^{n-1})
  • Pascal's triangle:
LaTex:  \left( \begin{array}{c} n \\ r \\ \end{array} \right) + \left( \begin{array}{c} n \\ r-1 \\ \end{array} \right) = \left( \begin{array}{c} n+1 \\ r \\ \end{array} \right)

Complex numbers

  • De Moivre's Theorem:

Let LaTex:  z_1 = r_1 (\cos \theta_1 + i \sin \theta_1) and LaTex:  z_2 = r_2 (\cos \theta_2 + i \sin \theta_2) .

  1. LaTex:  z_1 z_2 = r_1 r_2 (\cos (\theta_1 + \theta_2) + i \sin (\theta_1 + \theta_2)) , and
  2. LaTex:  \frac{z_1}{z_2} = \frac{r_1}{r_2} (\cos (\theta_1 - \theta_2) + i \sin (\theta_1 - \theta_2)) .

As a corollary, if LaTex:  n is a positive integer, then

  1. LaTex:  z^n = r^n (\cos n \theta + i \sin n \theta) , and
  2. LaTex:  z^{-n} = r^{-n} (\cos n \theta - i \sin n \theta) .

Analysis

Series

  • LaTex:  \sum_{k = 0}^n k = \frac{1}{2} n (n + 1) arithmetic progression
  • LaTex:  \sum_{k = 0}^n r^k = \frac{1 - r^{n + 1}}{1 - r} geometric progression
  • LaTex:  \sum_{k = 1}^n \frac{1}{k} , divergent — harmonic progression
  • LaTex:  \sum_{k = 0}^n k^2 = \frac{n (n + 1) (2n + 1)}{6} pyramidal number

Special functions

Trigonometric functions
Well-known values
LaTex:  \alpha 0 LaTex:  \frac{\pi}{6} LaTex:  \frac{\pi}{4} LaTex:  \frac{\pi}{3} LaTex:  \frac{\pi}{2}
LaTex:  \sin \alpha 0 LaTex:  \frac{1}{2} LaTex:  \frac{1}{\sqrt{2}} LaTex:  \frac{\sqrt{3}}{2} 1
LaTex:  \cos \alpha 1 LaTex:  \frac{\sqrt{3}}{2} LaTex:  \frac{1}{\sqrt{2}} LaTex:  \frac{1}{2} 0
LaTex:  \tan \alpha 0 LaTex:  \frac{1}{\sqrt{3}} LaTex:  1 LaTex:  \sqrt{3} LaTex:  \infty
Trigonometric identities

The Pythagorean formula for sines and cosines:

  • LaTex:  \sin^2 \alpha + \cos^2 \alpha = 1

Sum and difference formulae:

  • LaTex:  \sin (\alpha \pm \beta) = \sin \alpha \cos \beta \pm \cos \alpha \sin \beta
  • LaTex:  \cos (\alpha \pm \beta) = \cos \alpha \cos \beta \mp \sin \alpha \sin \beta
Hyperbolic functions
  • LaTex:  \cosh x = \frac{e^x + e^{-x}}{2}
  • LaTex:  \sinh x = \frac{e^x - e^{-x}}{2}
  • LaTex:  \tanh x = \frac{\sinh x}{\cosh x} = \frac{e^x - e^{-x}}{e^x + e^{-x}}
  • LaTex:  \coth x = \frac{1}{\tanh x} = \frac{\cosh x}{\sinh x} = \frac{e^x + e^{-x}}{e^x - e^{-x}}
  • LaTex:  \text{sech} x = \frac{1}{\cosh x} = \frac{2}{e^x + e^{-x}}
  • LaTex:  \text{cosech} x = \frac{1}{\sinh x} = \frac{2}{e^x - e^{-x}}

Inequalitites

  • Cauchy-Schwarz inequality:
LaTex:  \%7c\langle\mathbf{x},\mathbf{y}\rangle%7c\leq%7c%7c\mathbf{x}%7c%7c.%7c%7c\mathbf{y}%7c%7c
  • Minkowski inequality:
LaTex:  ||\mathbf{x}%2b\mathbf{y}||\leq||\mathbf{x}||%2b||\mathbf{y}||

Power series

  • Maclaurin's series expresses the function LaTex: f(x) in terms of its successive derivatives at LaTex: x = 0:
LaTex:  f(x) = f(0) + x f'(0) + \frac{x^2}{2!} f''(0) + \ldots + \frac{x^n}{n!} f^{(n)}(0) + \ldots
  • Taylor's series:
LaTex:  f(a + h) = f(a) + h f'(a) + \frac{h^2}{2!} f''(a) + \ldots + \frac{h^n}{n!} f^{(n)}(a) + \ldots
Well-known power series
  • LaTex:  \frac{1}{1 - x} = 1 + x + x^2 + x^3 + \ldots = \sum_{k=0}^{\infty} x^k for LaTex:  |x| < 1 infinite geometric series
  • LaTex:  \frac{1}{1 + x} = 1 - x + x^2 - x^3 + \ldots = \sum_{k=0}^{\infty} (-1)^k x^k for LaTex:  |x| < 1
  • LaTex:  (1 + x)^{\alpha} = \sum_{k = 0}^{\infty} \left( \begin{array} \alpha \\ k \end{array} \right) x^kbinomial series
  • LaTex:  e^x = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \ldots = \sum_{k = 0}^{\infty} \frac{x^k}{k!}
  • LaTex:  \ln(1 - x) = -x - \frac{x^2}{2} - \frac{x^3}{3} - \ldots = - \sum_{k=1}^{\infty} \frac{x^k}{k} for LaTex:  |x| < 1
  • LaTex:  \sin(x) = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \frac{x^7}{7!} + \ldots = \sum_{k = 0}^{\infty} \frac{(-1)^k x^{2k + 1}}{(2k + 1)!} for all LaTex:  x
  • LaTex:  \cos(x) = 1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \frac{x^6}{6!} + \ldots = \sum_{k = 0}^{\infty} \frac{(-1)^k x^{2k}}{(2k)!} for all LaTex:  x

Statistics

  • Entropy of the distribution of random variable LaTex: R whose LaTex: ith occurrence in the distribution has probability LaTex: p_i:
LaTex:  H(R) = - \sum_{i=1}^n p_i \log p_i
  • Relative entropy between an initial distribution LaTex: P and a subsequent distribution LaTex: Q:
LaTex:  S(P, Q) = \mathbb{E}_Q [\log Q - \log P] = \sum_x Q(x) \log \left( \frac{Q(x)}{P(x)} \right)
 
 
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