📅 2023-10-24 — Session: Developed Time Series Analysis Functions and Economic Insights
🕒 07:00–08:40
🏷️ Labels: Time Series, Monetary Policy, Economic Analysis, Function Development
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop functions for time series analysis and reflect on economic insights related to monetary policy.
Key Activities
- Function Development: Created a function to calculate the average percent change and slope of log-transformed time series data, facilitating better analysis of trends over time.
- Environment Management: Addressed issues with code execution environment resets, ensuring continuity by re-importing necessary libraries and redefining functions.
- Function Usage: Demonstrated the usage of the
analyze_time_seriesfunction for monthly data analysis, enhancing understanding of its application. - Economic Analysis: Reflected on the imbalance between monetary aggregates and deposits versus the monetary base and circulation, discussing implications such as inflation and currency distrust.
- Policy Coordination: Explored the need for coordinated monetary and fiscal policies to address economic imbalances and proposed sustainable solutions.
Achievements
- Successfully developed and demonstrated time series analysis functions.
- Gained insights into economic issues related to monetary policy and potential reforms.
Pending Tasks
- Further exploration of the impact of monetary policy on economic stability.
- Continued development of more advanced time series analysis functions.