Manual of Investments: Quality Stock Selection: Screened by Ben Graham's Factors and MI Score

A must-have for stock pickers, the Market Inference Manual of Investments gives you all the essential facts and figures of the world's best companies at your fingertips. This latest edition uses pricing and fundamental data up to June 14, 2024.

Spanning all sectors of the global market, this selection of quality stocks is presented in a clear and easy-to-use format that allows readers to quickly determine whether a company fits their investment profile. Each company overview covers:

* Valuation and pricing relative to the company's industry and sector
* Factors that correlate with the business's growth momentum
* Market sentiment indicators
* The firm's simplified cash flow statement, income statement, and balance sheet

We've also included a primer on the fundamentals of value investing, a proven method for finding winning stocks before they make big gains. Market Inference brings the teachings of Ben Graham, Warren Buffet, Peter Lynch, and more into the 21st Century through a rigorous and evidence-based system of equity data analysis that can help investors sift through the noise of the financial entertainment complex.

The Market Inference Score(TM) system is explained in detail, giving the reader an understanding of how and why each stock has been selected. Screening for companies on the basis of quantitative factors is widely regarded as the first step of a sound stock picking program, which will enable you to focus your attention on researching companies that are worth your time.

This Market Inference stock guide contains quality securities operating across several jurisdictions and sectors. This gives you a basis for protecting your portfolio from changing macroeconomic and geopolitical conditions - which is of the utmost importance in the volatile times we are living in.

The selection includes companies based in the United States, Europe, Asia, and Latin America that operate in the following sectors:

• Basic Materials
• Finance
• Energy
• Consumer Cyclical
• Telecommunications
• Technology
• Energy
• Real Estate
• Health Care
• Consumer Staples
• Industrial

Our data is sourced directly from the United States Securities and Exchange Commission (SEC) and is checked for accuracy through state-of-the art machine learning methods before passing a manual review by our data analysts.

Publisher note: This book has page numbers (as of June 2024).