Dodd-Frank (financial legislation) introduced reporting requirements for swap transaction.
Later, regulation was released outlining who is responsible for Rule 45 and Rule 43 reporting.
This is a side-project to work through the logic to determine the reporting party using Python using fake financial data generated with an accompanying script.
Source for reporting rules: http://www2.isda.org/attachment/NjE4NA==/Reporting%20Party%20Requirements_16Dec13_Final.pdf
- Step 1: In a clean directory, create a virtual environment using virtualenv with this command
virtualenv venv --no-site-packages
- Step 1a: To start your virual environment, type:
source venv/bin/activate
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Step 2: Git clone the repository into the root project folder and enter the folder
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Step 3: Install the dependencies for the project
pip install -r requirements.txt
- Step 4: Run generate_sample_xml.py to generate an xml document containing 100 random swap transactions.
The result will be written to an xml file in the directory "sample_xml". To generate a different amount of variables, pass an argument when running the script.
For example, to create 40 transactions:
python generate_sample_xml.py 40
- Step 5: Run parse_transactions.py to process the xml and determine the appropriate reporting party.
The result will be written to an xml file in the directory "result_xml"
To default sample xml is: sample_xml/18_51_2014_07_21.xml
To run a different file, pass an argument when running the script.
For example, to run the file: "sample_xml/foobar.xml"
python parse_transactions.py sample_xml/foobar.xml