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Applying Warren Buffet’s Investment Strategy to Indonesia Stock Market
In the past five years, there has been a significant surge in local Indonesian investors, predominantly comprising millennials and Gen Z, contributing to the positive growth of the stock market. However, a concerning phenomenon known as “herding bias” has been observed, highlighting the tendency of young investors to follow prevailing trends without fully understanding the intricacies and risks associated with their investments. This paper aims to address this issue by enhancing public awareness of stocks and minimizing associated risks, focusing specifically on value investing as an effective strategy. The research utilizes a ten-year period, selecting samples from companies listed in IDX30 through Warren Buffett’s screening test. This test incorporates key factors such as Conservative Debt, Price-to-Earnings Ratio (P/E Ratio), Price-to-Book Ratio (P/BV Ratio), Debt to Equity Ratio (D/E Ratio), and Return on Equity (ROE). Following the sample selection, the paper calculates the intrinsic value of chosen stocks, determines the margin of safety, estimates expected returns, and evaluate the risk-adjusted performance. Additionally, qualitative factors like understanding the business, market conditions, and internal company factors are considered. The findings indicate that Warren Buffett’s investment strategy can be successfully applied to Indonesian stocks. Investors are advised to select stocks based on careful consideration of financial ratios, analyzing annual reports, calculating intrinsic values, determining margins of safety, and assessing expected returns alongside associated risks. This research provides valuable insights that can serve as a practical reference for stock investment decisions, particularly for stocks with high market capitalization. By promoting a comprehensive understanding of value investing, this paper aims to empower young Indonesian investors to make informed and strategic choices, thereby mitigating the impact of herding bias in the local investment landscape.