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Returns-based, or factor-based, attribution methods also began to be developed after the 1970s; these attribution methods require time series return data of a portfolio, and may require time series return data of securities held in that portfolio and of explanatory factor portfolios to conduct performance attribution. These methods do not ...
Historical simulation in finance's value at risk (VaR) analysis is a procedure for predicting the value at risk by 'simulating' or constructing the cumulative distribution function (CDF) of assets returns over time assuming that future returns will be directly sampled from past returns.
The rate of return on a portfolio can be calculated indirectly as the weighted average rate of return on the various assets within the portfolio. [3] The weights are proportional to the value of the assets within the portfolio, to take into account what portion of the portfolio each individual return represents in calculating the contribution of that asset to the return on the portfolio.
Frequent asset class rebalancing and maintaining a diversified portfolio can lead to substantial costs and fees, which may reduce overall returns. Accurately predicting the optimal times to invest in or sell out of various asset classes is difficult, and poor timing can adversely affect returns.
Asset classes and asset class categories are often mixed together. In other words, describing large-cap stocks or short-term bonds as asset classes is incorrect. These investment vehicles are asset class categories, and are used for diversification purposes. Multiple asset classes mixed together in a fund structure can provide an investor with ...
Then (,,) are risk exposure values calculated from fundamental and technical data, (,) are factor returns determined by a cross-sectional regression for each time period and (,) are the regression residuals. This model was reformulated by Rosenberg et al. into a direct model of asset return,
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 .
The weighted average return on assets, or WARA, is the collective rates of return on the various types of tangible and intangible assets of a company.. The presumption of a WARA is that each class of a company's asset base (such as manufacturing equipment, contracts, software, brand names, etc.) carries its own rate of return, each unique to the asset's underlying operational risk as well as ...