Før Memmo var mine noter spredt ud over PDF'er. Nu samler et workspace alt ét sted – og jeg ser præcis, hvad der er tilbage at læse op på.
How well does it pay to own the Standard & Poor’s 500 Index’s best-performing stock of the year? Over the 2012-2021 period, the one-year total return ranged from 80% to 743%. This book identifies the quantitative and qualitative traits of stocks that made it to #1 and tells the stories of how they got there. A key indicator, the Fridson-Lee Statistic, makes its debut in these pages.
Aiming for the massive upside of the #1 stocks entails substantial risk. It’s not something to do with more than a small percentage of your portfolio. But attempting to pick the coming year’s top performer can provide an outlet for speculative impulses that might otherwise spoil a prudent, long-term investment plan. And by investigating the statistically determined best candidates for #1, you’ll gain important insights into stock selection.
The Little Book of Picking Top Stocks explains why conventional equity research provides only limited help in zeroing in on the index’s future top performer. Spotting the #1 stock isn’t Wall Street analysts’ focus, although the information they furnish about companies’ competitive strategies is quite helpful. Problematically, investment banks’ fundamental stock reports are structured around a valuation metric that was discredited nearly half a century ago—earnings per share.
Author Martin Fridson’s previous writings on the stock market include the books It Was a Very Good Year and Investment Illusions, as well as articles such as “Ben Graham’s Value Approach: Can It Still Work?” He has received the CFA Society of New York’s Ben Graham Award and has been named the Financial Management Association International’s Financial Executive of the Year. The Green Magazine called his Financial Statement Analysis (co-authored with Fernando Alvarez) “one of the most useful investment books ever.”
Før Memmo var mine noter spredt ud over PDF'er. Nu samler et workspace alt ét sted – og jeg ser præcis, hvad der er tilbage at læse op på.
Memmos opsummeringer er guld inden eksamen. Jeg slipper for at genlæse 800 sider to uger før – kun de vigtigste dele.
AI-chatten har reddet mig aftenen før en eksamen mere end én gang. Jeg spørger, indtil jeg forstår det – og slipper for at vente på svar i en studiegruppe.
Quizzen rammer præcis det, jeg skal kunne. Memmo holder øje med, hvad jeg har svært ved – så jeg øver mig kun på det, der er det værd.
Flashcards med spaced repetition er magi. Memmo ved, når jeg er ved at glemme noget, og viser det igen.
AI-podcasts er min favorit. Jeg lytter på vej til skole og får en opsummering uden at sidde foran en computer.
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