📅 2023-10-24 — Session: Analyzed monetary imbalance and policy coordination
🕒 07:00–08:40
🏷️ Labels: Monetary Policy, Economic Analysis, Time Series, Inflation, Policy Coordination
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to analyze economic imbalances, specifically the disproportionate growth of monetary aggregates compared to the monetary base, and the implications of these imbalances on inflation and economic stability.
Key Activities
- Developed a function to calculate average percent change and slope for log-transformed time series data.
- Addressed code execution environment reset issues by re-importing libraries and redefining functions.
- Provided a usage example for the
analyze_time_seriesfunction in Python. - Conducted a detailed analysis of the monetary imbalance, highlighting the consequences of inflation and distrust in currency.
- Reflected on the impact of slow monetary base growth on the economy, identifying potential risks such as banking system issues and investment disincentives.
- Analyzed the disproportionate growth of monetary aggregates, emphasizing the need for monetary reforms.
- Discussed the importance of coordinating monetary and fiscal policies to address economic imbalances.
Achievements
- Successfully developed and demonstrated the use of a time series analysis function.
- Identified key economic risks associated with monetary imbalances and proposed potential policy solutions.
Pending Tasks
- Further exploration of monetary policy reforms to mitigate identified risks.
- Continued development of analytical tools for economic data analysis.