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Portfolio optimization is the process of selecting an optimal portfolio (asset distribution), out of a set of considered portfolios, according to some objective. The objective typically maximizes factors such as expected return , and minimizes costs like financial risk , resulting in a multi-objective optimization problem.
Diversify your investment portfolio Perhaps the most accessible option for generating passive income is through investing . Dividend-paying stocks, exchange-traded funds (ETFs) or index funds can ...
For selection of the optimal portfolio or the best portfolio, the risk-return preferences are analyzed. An investor who is highly risk averse will hold a portfolio on the lower left hand of the frontier, and an investor who isn’t too risk averse will choose a portfolio on the upper portion of the frontier. Figure 2: Risk-return indifference ...
Performance attribution, or investment performance attribution is a set of techniques that performance analysts use to explain why a portfolio's performance differed from the benchmark. This difference between the portfolio return and the benchmark return is known as the active return .
Like in BCG analysis, a two-dimensional portfolio matrix is created. However, with the GE model the dimensions are multi factorial. One dimension comprises nine industry attractiveness measures; the other comprises twelve internal business strength measures. The GE matrix helps a strategic business unit evaluate its overall strength.
The more generic term asset management may refer to management of assets not necessarily primarily held for investment purposes. Most investment management clients can be classified as either institutional or retail/advisory, depending on if the client is an institution or private individual/family trust.
The result was an asset allocation model that PRI licensed Brian Rom to market in 1988. Mr. Rom coined the term PMPT and began using it to market portfolio optimization and performance measurement software developed by his company. These systems were built on the PRI downside- risk algorithms.
Brinson and Fachler (1985) and Brinson, Hood, and Beebower (1986) introduced the Brinson models as a foundation for investment portfolio performance attribution. [6] These models further sub-divide active returns due to active management into security selection - return achieved through selecting different securities than the benchmark, asset allocation - return achieved through weighting ...