Keywords - Function Groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

B


BA BB BC BD BE BF BG BH BI BJ BK BL BM BN BO BP BQ BR BS BT BU BV BW BX BY BZ
backfit
the estimates for the components of an additive (partial linear) model are calculated. If the local linear smoother is applied, the first derivatives are calculated as well, additionally the second derivatives if the local quadratic smoother is chosen.
barrier
calculates barrier option prices.
BatesCall
calculates European call option prices in Bates model using FFT
BatesPut
calculates European call option prices in Bates model using FFT
beta2theta
auxiliary quantlet for spdest2 which reparametrises the beta parameters.
betrnormE
Auxiliary routine for rICfil: calculates E [ |X| (|x|
betrnormF
Auxiliary routine for ricfil which calculates the cdf of |X|, where X is an n-dimensional standard normal variate
betrnormV
Auxiliary routine for ricfil which calculates E[ |X|^2 (|x|
bfgs
Searches the global minimum of a function.
bganaabl
auxiliary quantlet that provides the analytical derivatives of the Gaussian log-likelihood of a bivariate BEKK-type volatility model with respect to its parameters
bgc0stern1
auxiliary quantlet that computes initial values for the deterministic part of the BEKK model from a time series and ARCH and GARCH parameter matrices.
bgen
auxiliary quantlet for full VAR model analysis
bginvv
auxiliary quantlet that computes the inverse of a matrix and in case of singularity the generalized inverse.
bglik
computes the Gaussian log-likelihood of the BEKK model for each observation
bgsigma
auxiliary quantlet that estimates time varying variances and covariances of a bivariate process according to the BEKK model
bigarch
estimates the BEKK (Baba, Engle, Kraft, Kroner) volatility representation for a bivariate conditionally heteroscedastic time series and evaluates the maximum of the quasi log likelihood function in a GARCH(1,1) frame of the following form: S_t=C_(0)^T*C_(0)+A_(11)^T*e_(t-1)*e_(t-1)^T*A_(11)+G_(11)
bindata
Bins a p-dimensional data set x, starting from the origin orig in steps of d.
bindatatocl
converts output of bindata to be used as classified data
binlindata
linear binning for univariate data, given the binwidth and optionally the origin of the bin grid. The smallest grid with width d that covers the data is found and the data are binned to this grid using the linear binning rule.
binweights
direct computation of the autocovariances of the bincounts needed for fast computation of the kernel estimates of the integrated squared density derivatives.
bitree
applying binomial model to calculate European and American option prices.
BlackScholes
calculates option prices using the Black and Scholes formula for no dividend European options
BlackScholesPathDependent1D
calculates the option price and its standard deviation for path dependent options in the Black Scholes model by Monte Carlo simulation.
BlackScholesPathDependent1DQMC
calculates the price for path dependent options in the Black Scholes model by applying Quasi-Monte Carlo simulation in connection with a Brownian Bridge construction.
BlackScholesPathIndependent1D
calculates the option price and its standard deviation for path independent options in the Black Scholes model by Monte Carlo simulation.
BlackScholesPathIndependent1DQMC
calculates the option price for path independent options in the Black Scholes model by Quasi-Monte Carlo simulation.
BlackScholesPathIndependentMD
calculates the option price and its standard deviation for path independent options in the multi-dimensional Black Scholes model by Monte Carlo simulation.
BlackScholesPathIndependentMDDiv
calculates the option price and its standard deviation for path independent options in the multi-dimensional Black Scholes model by Monte Carlo simulation.
BlackScholesPathIndependentMDDivQMC
calculates the option price for path independent options in the multi-dimensional Black Scholes model by Quasi-Monte Carlo simulation.
BlackScholesPathIndependentMDQMC
calculates the option price for path independent options in the multi-dimensional Black Scholes model by Quasi-Monte Carlo simulation.
BondCoupon
computes price of the coupon-bearing CAT bond for the given claim amount distribution and non-homogeneous Poisson process governing the flow of losses
BondOnlyCoupon
computes price of the CAT bond paying only coupons for the given claim amount distribution and the non-homogeneous Poisson process governing the flow of losses
BondZeroCoupon
computes price of the zero-coupon CAT bond for the given claim amount distribution and the non-homogeneous Poisson process governing the flow of losses.
BondZeroCouponHPP
computes price of the zero-coupon CAT bond for the given claim amount distribution and the homogeneous Poisson process governing the flow of losses
bootstrap
calculates from data vector x different bootstrap replications
boxcox
computes the Box-Cox transformation of x
boxcoxdens
shows the density before and after a Box-Cox transformation of x.
boxlj
computes the autocorrelation function (acf) and the Box-Ljung statistics for autocorrelation in a time series. Additionally, the p-values for the statistic are computed.
boxpi
computes the autocorrelation function (acf) and the Box-Pierce statistics for autocorrelation in a time series. Additionally, the p-values for the statistic are computed.
bqua2
computes the second derivative of the quartic kernel with boundary correction
break
Inside a switch statement break marks the end of a case block. The procedure is continued at the keyword endsw. It can be omitted.
bs1
calculates option prices of a European option with different types of dividends using the Black and Scholes formula
Bsplineevalgd
calculates the basis matrix phi of k-th order B-splines for a given strictly non-decreasing knot sequence.

Keywords - Function Groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

(C) MD*TECH Method and Data Technologies, 05.02.2006Impressum