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To provide complete workflow from Inferential Analytics, Predictive Analytics, Prescriptive Analytics and Evaluate the performance of prescriptions

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DataSphereX/Finance-and-Risk-Analytics

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Finance-and-Risk-Analytics

To provide complete workflow from Inferential Analytics, Predictive Analytics, Prescriptive Analytics and Evaluate the performance of prescriptions

R Markdown Steps Followed: Kindly refer the file “Logit_Workings.xlsx” for excel working and comparison of performance Step 1: Preparation of Data files Refer the file “Training_Data.csv”. • Feature engineered “Returns” & “Lagged_Returns” variables • Added a Column called “Prescription” which a Binary Target variable • Prescription = 1 if Returns > 0 Else Prescription = 0 • Save the file as Training_Data.csv Step 2: Build Logistic Regression Model • Refer the R Script below Step 3: Interpretations and Conclusions • Refer Summary section.

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To provide complete workflow from Inferential Analytics, Predictive Analytics, Prescriptive Analytics and Evaluate the performance of prescriptions

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