Industry & Sector / Ind Aggregate Factors / Price & Volume
Pr4W%ChgInd

These factors return the representative value for the performance of the Industry of the stock. For the relative factors that (include 'Rel' in the name) the performance is relative to the regional benchmark shown in the table below. Dividends are not included.

Region Regional Benchmark  
United States SPY:USA State Street SPDR S&P 500 ETF Trust
Canada XIC:CAN iShares Core S&P/TSX Capped Composite Index ETF
Europe IMEU:NLD iShares II Plc - Core MSCI Europe UCITS ETF
APAC & Emerging VPL:USA Vanguard FTSE Pacific ETF
Global ACWI:USA iShares MSCI ACWI ETF

 

They are calculated by averaging the underlying stock factor returns with trimming of outliers using the Aggregate() function.

For a more traditional cap-weighted industry performance you can either:

  1. Create your own using #CapAvg in the Aggregate function
  2. Use a "Taxonomy Time Series"

NOTE: These are pre-built legacy Industry factors. See About section for important info.  

How to recreate Ind factors using the Aggregate() function

1. The starting primary universe is selected. (See the table below.)
2. ADR's and OTC stocks in USA are excluded
3. The underlying stock factor is calculated
4. The values are sorted
5. Outliers are eliminated: 16.5% of values from the top and bottom
6. The remaining values are averaged.

For example to calculate Pr4W%ChgInd using Aggregate() use this:

Aggregate("Pr4W%Chg", #Industry, #Avg, 16.5, #Exclude, FALSE)

Alternate: Predefined Taxonomy Time Series

These time series are built compounding cap weighted daily returns of the constituents. They are accessible to technical functions by specified #Industry for the "series" parameter. For example to calculate the 4W% return of the industry use this:

Ret%Chg(20,#Industry)

There are also series for  #Sector, #SubSector and #SubIndustry. In addition there are distinct series depending on the starting universe region,  either: USA, Canada, North America, Europe, or North Atlantic.

NOTE: you can see these time series in the stock pages by selecting a "Taxonomy Benchmark"

 

About "Ind" Factors

These are defined in single region universes only: either Europe or North America. If you use the North Atlantic universe they generate an error. 

The values do not change between different universes of the same region. For example Easy to Trade USA, S&P500 or your own custom universe.

For other groupings like Sector you can use the Aggregate function (but values will change between different universes).

To read more about why we choose average vs cap-average see the paper Peer Comparison