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For example, if a stock has a YTD return of 8%, it means that from January 1 of the current year to the present date, the stock has appreciated by 8%. Another example: if a property has a fiscal year-end of March 31, 2009, and the YTD rental income as of June 30, 2008, is $1,000, this indicates that the property earned $1,000 in rental income ...
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 .
Portfolio optimization often takes place in two stages: optimizing weights of asset classes to hold, and optimizing weights of assets within the same asset class. An example of the former would be choosing the proportions placed in equities versus bonds, while an example of the latter would be choosing the proportions of the stock sub-portfolio ...
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 ...
There’s not much to be made of all of this for asset allocation, since stuffing bands of bills into your mattress is likely a poor strategy given the current levels of high inflation.
Assets are divided into classes by type of asset or by business in which the asset is used. (See tables of classes below.) Where a general class based on the nature of the asset applies (00.xx classes below), that class takes precedence over the use class. For each class, three lives are specified: one for regular depreciation (GDS in the ...
In general, when there are portfolio constraints – for example, when short sales are not allowed – the easiest way to find the optimal portfolio is to use the Black–Litterman model to generate the expected returns for the assets, and then use a mean-variance optimizer to solve the constrained optimization problem.
Each asset would be given an exposure to one or more industries, e. g. based on breakdowns of the firms balance sheet or earning statement into industry segments. These industry exposures would sum to 1 for each asset. Thus the model had no explicit market factor but rather the market return was projected on to the industry returns.