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Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.
Many stock indexes are calculated as a price return index and a total return index as well: The US stock index S&P 500 [3] is an example of a price return index and the German stock market index DAX [4] is an example of a total return index.
Power Pivot supports the use of expression languages to query the model and calculate advanced measures. Pivot tables or pivot charts may be used to explore the model once built. It is available as an add-in in Excel 2010, as a separate download for Excel 2013, and is included by default since Excel 2016.
-- Note: if you would need to add calculator fields within that -- node, use subContainer() instead. function Calculator: tag (tagName) return self. root: tag (tagName) end-- Add a wrapper html node within the calculator container,-- for instance for styling.
where is yearly gross contribution per customer, is the (relevant) retention costs per customer per year (this formula assumes the retention activities are paid for each mid year and they only affect those who were retained in the previous year), is the horizon (in years), is the yearly retention rate, is the yearly discount rate.
The L-DAX Index is an indicator of the German benchmark DAX index's performance after the Xetra trading venue closes based on the floor trading at the Börse Frankfurt trading venue. The L-DAX Index basis is the "floor" trade (Parketthandel) at the Frankfurt stock exchange; it is computed daily between 09:00 and 17:45 Hours CET. [3]
The return, or the holding period return, can be calculated over a single period.The single period may last any length of time. The overall period may, however, instead be divided into contiguous subperiods. This means that there is more than one time period, each sub-period beginning at the point in time where the previous one ended. In such a case, where there are
Truncated normals with fixed support form an exponential family. Nielsen [3] reported closed-form formula for calculating the Kullback-Leibler divergence and the Bhattacharyya distance between two truncated normal distributions with the support of the first distribution nested into the support of the second distribution.