Professional Topics
Finance Thesis Topic Selection: Corporate Finance/Investment/Financial Engineering Directions
How to choose finance thesis topics? This guide provides selected topics in corporate finance, securities investment, insurance, financial engineering directions.
What this page helps you do first
- Corporate finance/investment/insurance topics
- Finance data acquisition channels
- Empirical research methods introduction
Finance thesis topic characteristics
Finance thesis divides into three categories: theoretical research, empirical research, financial market analysis. Empirical research needs to collect listed company or financial market data; corporate finance topics have relatively easier data access.
Finance thesis emphasizes data support and scientific analysis methods; evaluate data accessibility and analysis difficulty when selecting topic.
Corporate finance direction topics (60+ recommended)
- Listed company capital structure optimization research — with XX as case
- Corporate cash holdings influencing factors empirical research
- Listed company M&A performance research
- Equity incentive impact on enterprise innovation research
- Corporate debt financing cost influencing factors research
- Listed company dividend policy influencing factors research
- Enterprise growth and financing constraints research
- Private listed company governance structure research
Securities investment direction topics (50+ recommended)
- A-share market return rate influencing factors empirical research
- Fund performance evaluation and influencing factors research
- Quantitative investment strategy effectiveness research
- Individual investor behavior bias research
- Asset pricing model test in Chinese stock market
- Stock volatility and trading volume relationship research
- Institutional investor impact on stock price volatility
- STAR Market listed company value evaluation research
Financial engineering direction topics (40+ recommended)
- Options pricing model empirical research
- Risk management tools application in enterprises
- Financial derivatives pricing research
- VaR model application in commercial bank risk management
- Futures hedging effectiveness research
- Credit derivatives pricing research
- ETF arbitrage strategy research
- Digital currency pricing research
Banking and insurance direction topics (50+ recommended)
- Commercial bank profitability influencing factors research
- Internet finance impact on traditional banking
- Commercial bank credit risk assessment research
- Insurance company solvency research
- Life insurance demand influencing factors research
- FinTech application in insurance industry
- Commercial bank intermediate business development research
- Rural finance development problem research
Data acquisition channels
- Listed company data: CSMAR, Wind, RESSET financial databases
- Stock trading data: RESSET, Tonghuashun, Eastmoney
- Macro finance data: Peoples Bank of China, National Bureau of Statistics
- Research reports: Wind reports, Huibo Investment Research
Frequently asked questions
- Does finance thesis need programming ability?
- Not necessarily. But for quantitative investment and financial engineering topics, Python, MATLAB and other programming ability needed. Traditional corporate finance topics can use Excel + SPSS/Stata.
- What software is used for finance empirical analysis?
- Commonly used SPSS, Stata, EViews. Econometric models most convenient with Stata, time series analysis with EViews, cross-sectional data with SPSS.
- How long does data need to be?
- Usually need 5-10 years of data. Panel data is more convincing than cross-sectional data. Recommend using latest year data but historical length must be sufficient.