Quantitative Methods Flashcards
PV of a Perpetuity
A/R
Growth Rate
[nroot(FV/PV)]-1
IRR of Annuity
PV=A/IRR or IRR=A/PV
Holding Period Return
(P1-P0+D)/(P0)
Yield on Bank Discount Basis
(D/F)*(360/T)
Effective Annual Yield
(HPR)^(365/t)
Money Market Yield
(360BDY)/(360- tBDY)
Time Series Data
Fetched from multiple points in time
Haha. Fetch.
Cross Sectional Data
Fetched from one time period
Weighted Mean
Summation of WiXi
Geometric Mean
Nroot(X1X2Xn)
Geometric Mean Return
Nroot[(1+R1)(1+R2)(1+Rn)] -1
Find a given percentage point
Ly=(n+1)(y/100)
Linear Interpolation
Multiple the difference of Ly and the next lowest whole number with the size of the interval, then add that to the next lowest number before Ly
Variance
(Xi-X`)^2/N
Standard Deviation
sqrt[(Xi-X`)^/N]
Semivariance
Variance BELOW the mean
Semideviation
Variance ABOVE the mean
Chebyshev’s Inequalities Formula
The percentage of observations that will lie within k standard deviations is
1-1/k^2
Coefficient of Variation
s/x` (standard deviation over mean)
Sharpe Ratio (formula and what it measures)
Rp-Rf/Sp, measures excess return per unit risk
Normal Distribution Qualities
including s%’s
Mean=Median Completely described by mean and variance 1s-68% 2s-95% 3s-99%
Positive Skewness Qualities
Mode Median Mean
Frequent Small Losses, Occasional large gains
Skewed to the RIGHT
Negative Skewness Qualitites
Mean Median Mode
Frequent small gains, occasional large losses
Sample Skewness Formula
[(n/(n-1)(n-2)*(Xi-X`)^3/s^3]
Leptokurcic
More peaked
Fatter Tails
More Frequent large surprises
Platykuric
Flatter peak
Excess Kurtosis
3(n-1)^2/(n-2)(n-3)
In normal distribution, kurtosis=3
Covariance
w1s1+w2s2+2w1w2s1s2p
Right Skew
Positive Skew