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Short Selling: Finding Uncommon Short Ideas
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Short Selling: Finding Uncommon Short Ideas
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Short Selling: Finding Uncommon Short Ideas
Ebook309 pages3 hours

Short Selling: Finding Uncommon Short Ideas

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About this ebook

When an investor believes a stock is overvalued and will soon drop in price, he might decide to short” it. First, he borrows an amount of the stock, and then sells it. He waits for the stock to tank and then buys back the same amount of shares at a deflated price. After returning the shares to his lender, he pockets the differenceunless any one of several hard-to-predict variables interferes, and the stock fails to drop. Since these variables are so hard to predict, short selling is difficult for even seasoned investors. It takes great talent and experience to isolate the best short ideas” for falling stocksskills Amit Kumar developed over two decades of market analysis and trading. This book shares his short-selling framework, built on themes common to falling stocks and the market’s endemic strengths and cycles. Including key case studies and exclusive interviews with successful fund managers Bill Ackman (Pershing Square Capital Management) and Mark Roberts (Off Wall Street Consulting Group), this volume shows investors how to avoid traps and profit from well-researched short ideas. Investors may not always act on short ideas, but they can still avoid losses by using Kumar’s framework to identify stocks that are overvalued. Everyone from professionals to amateur investors can adopt his fundamental research approach, which transforms short selling into a long-term strategy.
LanguageEnglish
Release dateNov 17, 2015
ISBN9780231538848
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Short Selling: Finding Uncommon Short Ideas
Author

Amit Kumar

Dr. Amit Kumar is working as an Assistant Professor in the department of Applied Sciences, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Maharashtra, India. He has done his Bachelors and Master’s form Chaudhary Charan Singh University, Meerut, India, in 2006 and 2009 respectively. In 2016, he received his Doctorate in Applied mathematics (Reliability theory). He published 45+ research papers in various esteemed (Scopus, WOS etc.) international journals. He is a reviewer/editorial board member in many international journals. His fields of research are Operations Research, Reliability theory, Fuzzy Reliability, and System Engineering.

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