Vertaile menetelmiä

	Black-Litterman-salkkumenetelmä	OLS-regressio (Ordinary Least Squares)
Tieteenala	Rahoitus	Ekonometria
Menetelmäperhe	Regression model	Regression model
Syntyvuosi	1992	2019
Kehittäjä	Fischer Black & Robert Litterman	Wooldridge (textbook treatment); classical least squares
Tyyppi	Bayesian portfolio allocation model	Linear regression
Alkuperäislähde	Black, F. & Litterman, R. (1992). Global Portfolio Optimization. Financial Analysts Journal, 48(5), 28-43.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Rinnakkaisnimet	Black-Litterman, BL model, Black-Litterman Portföy Modeli	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Liittyvät	5	5
Tiivistelmä	The Black-Litterman model, introduced by Fischer Black and Robert Litterman in 1992, is a Bayesian portfolio allocation framework that blends market-equilibrium returns with an investor's own views to produce more stable, intuitive portfolios. It was designed to cure the extreme concentration and input sensitivity of classical Markowitz mean-variance optimisation.	Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).