Follow on investments are subsequent investments made in a portfolio company after an initial investment. Github is a popular platform for developers to share code and pdfs can provide in-depth explanations of investment strategies. When researching investment strategies on github, it’s important to understand key approaches like value investing, growth investing, indexing, and quantitative strategies. Knowing the core principles of major strategies allows investors to evaluate options and build effective portfolios.
Value Investing Focuses on Undervalued Assets
The father of value investing is Benjamin Graham, author of The Intelligent Investor. Value investors aim to buy high quality assets trading below intrinsic value. They focus on fundamentals like price-to-earnings and price-to-book ratios. Famous value investors include Warren Buffet and Seth Klarman. On github, the Magic Formula Investing pdf details a specific value approach using earnings yield and return on capital.
Growth Investing Targets Rising Companies
In contrast to value investing, growth investors buy into fast growing companies even if shares are expensive in relation to current profits. They bet that earnings will rise rapidly in the future. Growth investors study trends and disruptive innovations. On github, Cathie Wood from ARK Invest publishes her firm’s research on emerging growth opportunities in areas like genomics, automation and fintech.
Indexing Provides Broad Market Exposure
Index investing means matching the performance of market benchmarks like the S&P 500. Since active stock picking often underperforms indexes, indexing provides a simple, low cost approach. The Vanguard pdf on github analyzes index investing returns across markets and over time. The evidence strongly supports index fund adoption for most investors.
Quant Strategies Rely on Data and Models
Quantitative investment strategies use data, algorithms and backtesting to construct portfolios. Some quant approaches try to beat benchmarks while others target minimum variance or maximum diversification. On github, papers detail strategies ranging from statistical arbitrage to AI and machine learning models for trading.
When researching follow on investment strategies, understanding core approaches like value, growth, indexing and quant methods provides useful context. Github enables convenient access to pdfs explaining the principles of major investment philosophies.