Projects

Projects

Repo for all my Projects

Capital Research for Radius Recycling (RDUS)

  1. RDUS Capital Structure Analysis:
    • Conducted a detailed analysis of RDUS’s financial leverage and its impact on earnings per share (EPS).
    • Assessed scenarios under different economic conditions (recession, current, and boom) to evaluate debt reliance and working capital strategies.
    • Proposed a shift toward short-term borrowing and asset optimization to improve liquidity.
  1. RDUS Capital Structure Analysis #2:
    • Explored optimal capital structure using the Weighted Average Cost of Capital (WACC) framework.
    • Evaluated RDUS’s current debt-to-equity ratio against industry standards, recommending a reduction in long-term debt.
    • Highlighted strategies to align with an optimal D/E ratio to lower financial risks and borrowing costs.
  1. RDUS Statistical Research (OLS):
    • Performed Ordinary Least Squares (OLS) regression to investigate the relationship between accounts receivable and net income.
    • Identified key factors affecting RDUS’s profitability, emphasizing the limited explanatory power of receivables on earnings.
    • Recommended extending credit cautiously, supported by data trends and historical averages.

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.

Intermediate Macroeconomic Model

  1. Aggregate Demand–Aggregate Supply model
    • Built the Aggregate Demand and Aggregate Supply (AD-AS) model from scratch using advanced calculus and complex mathematical formulations.
    • Incorporated key parameters like inflation rates, short-run output, and Taylor rule adjustments to simulate dynamic economic behaviors.
    • Developed functions to compute short-run equilibrium, inflation stabilization, and policy effects, relying on rigorous mathematical foundations.
    • Simulated scenarios such as the COVID-19 economic crisis to analyze policy responses, including changes in interest rates and fiscal interventions.
    • Generated visualizations to interpret model outputs and validate theoretical assumptions against real-world data.

Investment Society Leadership and Financial Research

  1. Bloomberg Terminal Financial Research:
    • Developed comprehensive guides and templates for navigating the Bloomberg Terminal to analyze equities, financial statements, and key ratios.
    • Regularly lead presentations as the Investment Society President, teaching students how to effectively use Bloomberg for financial data research and decision-making.
    • Focused on creating efficient workflows, including custom templates for financial analysis and integrating Bloomberg data with Excel for streamlined calculations.
    • Emphasized the importance of understanding field definitions and methodology to ensure accurate and insightful financial analysis.
    • Template link is one of the sample Bloomberg templates I made.
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