FF.naive.both: Create a complete naive-valued firm-firm (FF) matrix

In FinNet: Quickly Build and Manipulate Financial Networks

Create a complete naive-valued firm-firm (FF) matrix

Description

Function to create a naive-valued firm-firm (FF) matrix based on both common ownership and board interlocks

Usage

FF.naive.both(
  ...,
  id_as_firm_name = NULL,
  Matrix = NULL,
  self_ties = FALSE,
  combining = "sum"
)

Arguments

...	Either multiple objects of class firm or a list of such objects
id_as_firm_name	Whether to use the ticker as the firm's name. Defaults to TRUE if all firms' id is neither NULL nor NA.
Matrix	Whether to use the Matrix package. Defaults to TRUE when any matrix in the pipeline contains more than 10,000 cells and the package is installed.
self_ties	Whether to allow self-ties (a 'loop' in graph theory). Defaults to FALSE.
combining	How to combine the FF matrix for managers and that for owners. Possible values: sum; mean or average; min; max;

Details

The ties' value will reflect the count of common owners and membership depending on combining:

• sum: sum of the counts;

• mean or average: average of the counts;

• min: minimum of the counts;

• max: maximum of the counts.

Value

A matrix object of class financial_matrix(possibly using the Matrix package)

Author(s)

Telarico, Fabio Ashtar

See Also

Other Financial_matrix builders: FF(), FF.binary.both(), FF.binary.management(), FF.binary.ownership(), FF.naive.management(), FF.naive.ownership(), FF.norm.both(), FF.norm.management(), FF.norm.ownership()

Examples

# Create the complete naive firm-firm matrix for the companies held by Berkshire Hathaway
data('firms_BKB')
FF <- FF.naive.both(firms_BKB)

FinNet documentation built on Oct. 31, 2024, 5:07 p.m.