ScholarGate
Asistent

Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Optimalizace portfolia podle průměru a rozptylu (Markowitz)×Model portfolia založený na paritě rizika (rovný příspěvek k riziku)×
OborFinanceFinance
RodinaRegression modelRegression model
Rok vzniku19522010
TvůrceHarry MarkowitzMaillard, Roncalli & Teïletche (2010); popularised by Qian (2005) and Bridgewater All Weather
TypMean-variance optimization modelPortfolio weighting model (risk budgeting)
Původní zdrojMarkowitz, H. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77-91. DOI ↗Maillard, S., Roncalli, T. & Teïletche, J. (2010). The Properties of Equally Weighted Risk Contribution Portfolios. Journal of Portfolio Management, 36(4), 60–70. DOI ↗
Další názvyMarkowitz portfolio theory, modern portfolio theory, efficient frontier optimization, Ortalama-Varyans Portföy Optimizasyonu (Markowitz)equal risk contribution, ERC portfolio, risk budgeting, All Weather strategy
Příbuzné53
ShrnutíMean-variance portfolio optimization is the foundational model of modern portfolio theory, introduced by Harry Markowitz in 1952. It describes portfolios in an expected-return versus risk (variance) plane and traces the efficient frontier of allocations that offer the highest expected return for each level of risk, covering the minimum-variance portfolio, the maximum-Sharpe-ratio portfolio, and constrained variants.Risk parity is a portfolio weighting model, formalised by Maillard, Roncalli and Teïletche (2010), in which every asset contributes an equal share of the total portfolio risk. It needs only the covariance (risk) structure of the assets and no forecast of expected returns, and it underpins Bridgewater's All Weather strategy.
ScholarGateDatová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Přejít na hledání Stáhnout prezentaci

ScholarGatePorovnat metody: Mean-Variance Portfolio Optimization · Risk Parity Portfolio. Získáno 2026-06-18 z https://scholargate.app/cs/compare