Value premium extraction using Real Exchange Rate
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Asset: G10 currency
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Instrument: 1 month forwards
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Sharpe Ratio: 1.31
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Annualised Return: 7.99%
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Period of analysis: Jan 2017 to Oct 2018
Access token to Refinitiv DSA platform. Due to legal reasons, we're unable to provide a copy of the data we collected
- Download, unzip and place the application directory anywhere on your local machine with both read and write access
- The script uses a external library dependencies to run various functions. To use these libraries you can:
- a. On Windows OS, change directory to the root of the application and type "venv\Scripts\activate" to activate the virtual environment On Linux OS, change directory to the root of the application and type "source /venv/Scripts/activate" to activate the virtual environment
- b. Change directory to the root of the application and type "pip install -r requirements.txt" to install the libraries into your system python interpreter. Ensure that the system's python interpreter version you're running is >=3.7.4. Otherwise, please use the venv method.
- Open data_collection.py and provide your access token to the DSA API. In the application root directory, type 'python data_collection.py"
- In the application root directory, type "python quant_model.py" to run the script
- The sharpe ratio, annualised returns and net cumulative returns of the dominant strategy will be printed.
- (Optional) Type "deactivate" to deactivate the virtual environment (if step 2a. was used)
Analysis created using data provided by Thomson Reuters, using the Data Science Accelerator platform. Submitted for the UBS Quant Hackathon 2019
- Jonathan Kevin Chandra https://github.com/jkchandra
- Teo Tian Shun Kenneth https://github.com/tsKenneth
- Ye Fan (Steve) https://github.com/handsomejeff