Anon

(Dana P.) #1

Index 421


Multiple linear regression
about, 41
applications to finance, 51–79
assumptions of, 43
diagnostic check and model significance,
46–51
model, 42–43
model design, 45–46
model parameter estimates, 43–45
summary/key points, 79–80
Multiple linear regression model, building
and testing
assumptions testing of multiple linear
regression model, 88–100
model building techniques, 84–88
multicollinearity problem, 81–84
summary/key points, 100–102
Multiplication, 393–395
defined, 394–395
Multivariate extensions, 230–231
Multivariate variables and distributions,
332–342
conditional distribution, 336–337
contingency coefficient, 341–342
correlation, 340–341
covariance, 338–340
frequencies, 332–333
graphical representation, 333–336
independence, 337–338
marginal distributions, 333
Mutual fund characteristic line, 25–26


N-dimensional vector, 385
Negative autocorrelation, 97
Ng, Serena, 263
Noise, 4, 17, 294, 299, 301–303. See also
White noise
Nonlinear regression, 91
Nonlinear relationship, 36–38
Nonparametical properties, 405
Nonstationary variables, 194
Nonsystemic risk, 75
Normal distribution, 18
about, 344–345
properties of, 345–347
Normal distribution tests for residuals
about, 92–93
autocorrelation of the residuals absence,
96–100
chi-square statistic, 93


constant variance of the error term
(homoschedasticty) tests, 95–96
Jarque-Bera test statistic, 93–94
standardized residual analysis, 94
Null hypotheses, 373

Observed variables, 241
Onatsky, Alexei, 263
One-tailed test, 373
Open classes, 327
Operation, 391
Ordinary least squares (OLS) methodology,
19–20, 79, 268, 273–276
Orthogonal factors, 243
Orthogonal matrix, 396
Orthogonal vectors, 393
Overfitting, 294

Parameter estimation, 144–146
Parameter space, 359
Parameters vs. statistics, 328–329
Pareto tail, 354
Partial autocorrelation (PAC), 173
Passive portfolio strategy, 8
Pearson contingency coefficient, 342
Pearson correlation coefficient, 341
Pearson skewness, 331
Penalty function, 294
Perfect hedge, 30
Phillips-Perron statistic, 197
Phillips-Perron test, 197, 202
Physics and economics, 291–293
Pohlman, Larry, 148
Point estimators
estimators, 361–362
estimators, quality criteria of, 363–365
large-sample criteria, 365–369
linear estimators, 362–363
sample, 360
sample, statistic and estimator, 359–363
sampling technique, 360–361
statistic, 361
Policy asset allocation, 7
Polytomous variable, 119, 141
Population parameter, 361
Portfolio beta, 26
Portfolio construction, 8–9
Portfolio manager style determination,
149–151
Portfolio risk, 9, 11
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