Applied Time Series Projects

Time Series Analysis

Applied Time Series Research

1. China Export Commodities Time Series Analysis:
   • Applied time series techniques to analyze trends, seasonality, and irregularities in China’s export commodity data from 1990 to the present.
   • Conducted a classical multiplicative decomposition to distinguish long-term growth patterns, seasonal cycles, and random shocks influenced by macroeconomic events.
   • Provided actionable insights into optimizing trade strategies by leveraging seasonal trends and mitigating risks from unpredictable disruptions.
     

• Time Series Reserach on China’s Export Commodities

2. Consumer Credit Data Analysis:
   • Examined consumer credit data from the G.19 Statistical Release, focusing on outstanding credit extended to individuals for household and personal expenditures.
   • Differentiated between revolving credit (e.g., credit card loans) and nonrevolving credit (e.g., motor vehicle and education loans) to identify distinct patterns and trends.
   • Analyzed the interest rates and terms of credit, including new car loans, personal loans, and credit card plans at commercial banks, and discussed the implications of historical data series.
   • Provided insights into consumer borrowing behaviors and the potential impact of macroeconomic changes on credit markets.

• Project 2: Consumer Credit Data Analysis

3. Project 3: Coming Soon

• project 3