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My goal is to create a model that can predict the impact of major macroeconomic shocks (ex. Policy changes, trade war…). Like many other models, I am trying to reduce the uncertainty/risk factor as much as possible. My plan is to use historical data to study major macroeconomic shocks and their effect on the market. Then, I want to train my dataset in a way that it is ready for similar shocks in the future.

I know there is a lot of ambiguity here, but I hope someone can help me out! It is my first time developing a financial model by myself. Previous research, recommendation on what software to use, specific models to take a close look at… any advice will be appreciated. The dataset I am going to use is quite large. I have experience working with R and SQL, but I don’t know if they will be sufficient enough. Please let me know if there is any specific program to use.

  • "The dataset I am going to use is quite large" <- Please give details: How many shocks, how many variables for each shock, how many data points for each variable (roughly is OK). – Nicolas Raoul Jul 9 '19 at 2:34
  • I edited the question to make it comply with this site's rules (clear title, text focused on the requirements). – Nicolas Raoul Jul 9 '19 at 2:37

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