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  • Format: ePub

The High-Profit, Short-Term Trading Strategy Any Investor Can Use!
· Sophisticated new techniques for profiting from earnings news
· Based on extensive empirical research and statistical testing of immense data sets
· How to structure low-risk trades that profit whether a stock soars or plummets
You can earn huge profits by trading on earnings announcements-if you know how. The "obvious" approaches don't work. This book explains why, and identifies new strategies and techniques based on advanced theory, new empirical research, and statistical testing of enormous data
…mehr

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Produktbeschreibung
The High-Profit, Short-Term Trading Strategy Any Investor Can Use!

· Sophisticated new techniques for profiting from earnings news

· Based on extensive empirical research and statistical testing of immense data sets

· How to structure low-risk trades that profit whether a stock soars or plummets

You can earn huge profits by trading on earnings announcements-if you know how. The "obvious" approaches don't work. This book explains why, and identifies new strategies and techniques based on advanced theory, new empirical research, and statistical testing of enormous data samples.

The authors help you deepen your understanding of all markets and trades-especially the surprising regularities exhibited by equities and options before and after earnings news. Next, they present several options trading strategies optimized to reflect these regularities, cover crucial practical considerations that impact performance, and help you fine-tune your trades for even better results.

Written with exceptional clarity and detail, this book will be valuable to every intelligent investor-from classic "value investors" to options traders seeking a powerful new edge.

Trading on Corporate Earnings News shows how to earn large, quick profits by taking targeted, short-term options positions timed explicitly to exploit companies' quarterly earnings announcements.

The authors begin by presenting new findings from cutting-edge studies on market reactions to quarterly earnings news and surprises. Drawing on enormous data sets, they identify the types of earnings announcement trades that are most likely to yield profits, based on the predictable impacts of several key variables. Next, they provide real examples of individual stocks-and, in some cases, conduct large sample tests-to help investors profit from these regularities. Finally, they show how to manage crucial nuances and pitfalls that can powerfully impact performance.

Designed for every investor or trader, Trading on Corporate Earnings News brings together everything you need: strong underlying theory, rigorous empirical research, actionable strategies, and real-world, plain-English execution techniques.

Equity and options behavior around earnings announcements

How stocks and options really move before and after earnings news

Surprising reactions to earnings surprises

Why markets often don't react the way you expect-and what to do about it

Improving your odds on every trade

Practical issues, proven theories, and unexpected empirical regularities

Beyond options: powerful ideas for stock-based investing

Gain deep market insights that you can apply in every investment


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Autorenporträt
John Shon is Professor of Accounting at Fordham University's Gabelli School of Business and Graduate School of Business Administration. He has received several teaching awards throughout his teaching career. Shon publishes extensively in academic journals and has received several grants and awards for his research on equity markets. He holds a Ph.D. in Accounting and an MBA in Finance from the University of Chicago's Booth School of Business.

Ping Zhou, Portfolio Manager and Senior Vice President of the Quantitative Investment Group at Neuberger Berman, currently manages U.S. and global equity funds for institutional investors. Zhou's expertise is in portfolio theory, market anomalies, investor behavior, corporate finance, and risk management. He previously served as Accounting Professor at City University of New York-Baruch College. He holds a Ph.D. in Accounting from Georgia State University.