Quantitative Value Investing A practitioner’s approach to stock valuation


Free Download Quantitative Value Investing: A practitioner’s approach to stock valuation by Sharad S Ramnarayanan
English | June 29, 2022 | ISBN: N/A | ASIN: B0B5GJRK8X | 198 pages | EPUB | 13 Mb
There are many books on value investing. However, most books deal with the philosophy of value investing and the mindset needed to adopt this philosophy. Only a few books cover the process of valuation from a quantitative perspective. Fewer still have been written from an Indian market perspective. Value investing requires investors to buy stocks at prices below their intrinsic value. But estimating the intrinsic value has always remained a challenge.


Quantitative approaches to estimating intrinsic value often begin and ends with discounted cash flow models, which can be applied meaningfully to only a handful of companies that generate stable free cash flows. Many companies lie outside this universe of mature free cash flow generators. This book outlines some quantitative approaches other than discounted free cash flow models that can be applied to estimate the fair market value of stocks. I have explained these approaches using case studies from the Indian equity market. While every investor who researches a company develops some understanding of the business fundamentals and forms expectations about the future outlook of the business, translating these expectations into numbers does not come naturally to most investors. Finally, the narratives should translate into mathematics. This book is an attempt in this direction.
While selecting the right stock to invest in is essential, managing the position size is also critical. As George Soros said, "It’s not whether you’re right or wrong, but how much money you make when you’re right and how much you lose when you’re wrong." Apart from attempting to quantify the valuation process, this book also explores the possibility of bringing quantitative rigour into position sizing and portfolio management.

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