In finance, active return refers to the returns produced by an investment portfolio due to active management decisions made by the portfolio manager that cannot be explained by the portfolio's exposure to returns or to risks in the portfolio's investment benchmark; active return is usually the objective of active management and subject of performance attribution. [1] In contrast, passive returns refers to returns produced by an investment portfolio due to its exposure to returns of its benchmark. Passive returns can be obtained deliberately through passive tracking of the portfolio benchmark or obtained inadvertently through an investment process unrelated to tracking the index. [2]
Benchmark portfolios are often represented in theoretical contexts to include all investment assets - sometimes called a market portfolio in these contexts, but is in practice a subset of practically available investable assets. [3] In those cases where the benchmark or the market portfolio include all investable assets, active management is a zero-sum game, as no group of active managers can achieve positive active returns over the benchmark portfolio without another group of managers taking the other side of those positions and producing negative active returns; active managers as a whole in this case cannot outperform the market portfolio. [4]
In a simple arithmetic return attribution, if denotes the return for the portfolio and denotes the return for the benchmark, then a simple active return is given by , and can be either positive or negative. [5]
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 asset classes in a portfolio differently than the benchmark, and other types of return categories. These divisions are useful to account for and to measure portfolio manager skill. [7] The volatility of active return and volatility of sub-divisions of active return can be measured as active risk. [8]
Active return is often studied in the context of CAPM, the Capital Asset Pricing Model, as that model provides ways to measure and to justify active return. In the context of CAPM, a portfolio's investment benchmark represents a consensus market portfolio. [9] All portfolio and asset returns over a risk-free cash interest rate ("excess returns") can be decomposed into two uncorrelated components: (i) a fraction (beta) of the excess return of the market portfolio (M) and (ii) a residual return (theta). CAPM implies that, under certain assumptions, the expected residual return is zero, and that all expected portfolio and asset returns equal to their fraction (or beta) of the return of the market portfolio. [10]
These predictions imply that one may measure active returns relatively easily: a linear regression of the excess returns of a portfolio against a consensus market excess return. Such a linear regression produces an estimated alpha (or intercept), and an estimated beta on market excess returns. Assuming all CAPM assumptions hold in the particular context, the estimated beta of the market portfolio excess return is the CAPM beta, the residual (assumed to be zero in a linear regression) represents the residual return in CAPM, and alpha represents active returns achieved through active management of the portfolio. [11] CAPM implies that changing the beta of a portfolio to time for periods of high market portfolio returns, a type of market timing, cannot achieve active returns, since in the CAPM context active return is defined as return in excess of market portfolio returns. The assumptions of CAPM also point to ways for active management to achieving active return, which involves investing on information not yet incorporated into the consensus around the market portfolio. [12]
Measurements of active return play a big role in investment manager evaluation, compensation, and selection. [13] Active return forecasts are an input into portfolio return forecasts, which are crucial inputs in investment planning and asset-liability management. Portfolio managers could examine active returns to evaluate which active decisions or types of active decisions have succeeded in their portfolios, to allocate resources (personnel, dollar budgets, risk budgets, etc.) to implement different active decisions, and to communicate with fund sponsors about portfolio performance.
Fund sponsors typically look for proficiency, consistency, and precision in the ability of active portfolio investment managers to produce active returns. A portfolio's scale of active returns implies a manager is proficient in producing active returns, its repeatability of active returns over time implies a manager is consistent at producing active returns, and its conformity of its sources of active returns with the manager's stated investment objectives implies a manager is precise in producing active returns. Fund sponsors typically choose a number of investment managers and allocate them assets to manage; they could compare these qualities of active returns among different investment managers to adjust allocations to their mandates. [14]
In cases where investment managers pursue multiple investment strategies in a single portfolio, such as fund of funds or multi-strategy portfolios, investment managers could use qualities of active returns of particular strategies to shift resources between investment strategies in the portfolio much like how fund sponsors would shift allocations between investment managers. [15] The active return and active risk of individual investment strategies can be used to calculate information ratio, which can be used to allocation investment strategies, and/or individual investments in assets, such as stocks, in a portfolio to maximize total portfolio active return. [16]
In finance, the capital asset pricing model (CAPM) is a model used to determine a theoretically appropriate required rate of return of an asset, to make decisions about adding assets to a well-diversified portfolio.
In finance, the beta is a statistic that measures the expected increase or decrease of an individual stock price in proportion to movements of the stock market as a whole. Beta can be used to indicate the contribution of an individual asset to the market risk of a portfolio when it is added in small quantity. It refers to an asset's non-diversifiable risk, systematic risk, or market risk. Beta is not a measure of idiosyncratic risk.
In finance, the Sharpe ratio measures the performance of an investment such as a security or portfolio compared to a risk-free asset, after adjusting for its risk. It is defined as the difference between the returns of the investment and the risk-free return, divided by the standard deviation of the investment returns. It represents the additional amount of return that an investor receives per unit of increase in risk.
In finance, Jensen's alpha is used to determine the abnormal return of a security or portfolio of securities over the theoretical expected return. It is a version of the standard alpha based on a theoretical performance instead of a market index.
In finance, a portfolio is a collection of investments.
Financial risk management is the practice of protecting economic value in a firm by managing exposure to financial risk - principally operational risk, credit risk and market risk, with more specific variants as listed aside. As for risk management more generally, financial risk management requires identifying the sources of risk, measuring these, and crafting plans to mitigate them. See Finance § Risk management for an overview.
Investment management is the professional asset management of various securities, including shareholdings, bonds, and other assets, such as real estate, to meet specified investment goals for the benefit of investors. Investors may be institutions, such as insurance companies, pension funds, corporations, charities, educational establishments, or private investors, either directly via investment contracts/mandates or via collective investment schemes like mutual funds, exchange-traded funds, or Real estate investment trusts.
Alpha is a measure of the active return on an investment, the performance of that investment compared with a suitable market index. An alpha of 1% means the investment's return on investment over a selected period of time was 1% better than the market during that same period; a negative alpha means the investment underperformed the market. Alpha, along with beta, is one of two key coefficients in the capital asset pricing model used in modern portfolio theory and is closely related to other important quantities such as standard deviation, R-squared and the Sharpe ratio.
Asset allocation is the implementation of an investment strategy that attempts to balance risk versus reward by adjusting the percentage of each asset in an investment portfolio according to the investor's risk tolerance, goals and investment time frame. The focus is on the characteristics of the overall portfolio. Such a strategy contrasts with an approach that focuses on individual assets.
The information ratio measures and compares the active return of an investment compared to a benchmark index relative to the volatility of the active return. It is defined as the active return divided by the tracking error. It represents the additional amount of return that an investor receives per unit of increase in risk. The information ratio is simply the ratio of the active return of the portfolio divided by the tracking error of its return, with both components measured relative to the performance of the agreed-on benchmark.
In finance, tracking error or active risk is a measure of the risk in an investment portfolio that is due to active management decisions made by the portfolio manager; it indicates how closely a portfolio follows the index to which it is benchmarked. The best measure is the standard deviation of the difference between the portfolio and index returns.
The following outline is provided as an overview of and topical guide to finance:
Fixed-income attribution is the process of measuring returns generated by various sources of risk in a fixed income portfolio, particularly when multiple sources of return are active at the same time.
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. The active return is the component of a portfolio's performance that arises from the fact that the portfolio is actively managed.
A portfolio manager (PM) is a professional responsible for making investment decisions and carrying out investment activities on behalf of vested individuals or institutions. Clients invest their money into the PM's investment policy for future growth, such as a retirement fund, endowment fund, or education fund. PMs work with a team of analysts and researchers and are responsible for establishing an investment strategy, selecting appropriate investments, and allocating each investment properly towards an investment fund or asset management vehicle.
Gary P. Brinson is a former investor and money manager. He is the founder of Brinson Partners a Chicago-based asset management firm acquired in 1994 by Swiss Bank Corporation, the predecessor of UBS, and Adams Street Partners. Prior to retiring in 2000, Brinson would run the asset management division of Swiss Bank Corporation and later UBS Global Asset Management.
In investing and finance, the low-volatility anomaly is the observation that low-volatility stocks have higher returns than high-volatility stocks in most markets studied. This is an example of a stock market anomaly since it contradicts the central prediction of many financial theories that higher returns can only be realized by taking more risk.
Returns-based style analysis (RBSA) is a statistical technique used in finance to deconstruct the returns of investment strategies using a variety of explanatory variables. The model results in a strategy's exposures to asset classes or other factors, interpreted as a measure of a fund or portfolio manager's investment style. While the model is most frequently used to show an equity mutual fund’s style with reference to common style axes, recent applications have extended the model’s utility to model more complex strategies, such as those employed by hedge funds.
Untradable assets are assets that are not traded on the market. Human capital is the most important nontraded assets. Other important nontraded asset classes are private businesses, claims to government transfer payments and claims on trust income.
Style drift occurs when a mutual fund's actual and declared investment style differs. A mutual fund’s declared investment style can be found in the fund prospectus which investors commonly rely upon to aid their investment decisions. For most investors, they assumed that mutual fund managers will invest according to the advertised guidelines, this is however, not the case for a fund with style drift. Style drift is commonplace in today’s mutual fund industry, making no distinction between developed and developing markets according to studies in the United States by Brown and Goetzmann (1997) and in China as reported in Sina Finance.
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