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Applying Behavioral Finance to Investing
Details
This book provides an analysis of the characteristics of portfolio managers, traders and banking customers when dealing with available market sensitive information. The results obtained suggest that market participants tend to behave somehow irrationally and overconfidently in selecting available information, creating important anomalies and arbitrage opportunity for rational participants. Studying the behavior of the fund managers that are managing portfolios on the basis of behavioral finance techniques it is possible to extrapolate a unique winning strategy. I moved then the focus on trader s behavior. Overconfident traders do not process exhaustively all the available information but uses rules of thumb to determine which pieces of information deserve to be processed. Then I investigated if banking customers possess the ability to effectively process the available information and if the market has the ability to send signals which are informative and have a disciplining effect on market participants. The experiment focus on the capacity of US banking customers to process the information available through Rating Agency on the conditions of banks fundamentals before bankruptcy.
Autorentext
As a top tier banking analyst at Goldman Sachs, he has been voted in many survey (Extel, II) as a highly rated top ten European analyst; he also won the coveted Leading Rising Star Analyst title earlier in his career. He has degrees in Economy, History and Political Science, an MBA from Bocconi and a Ph.D in Cognitive Science.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783846582411
- Auflage Aufl.
- Sprache Englisch
- Größe H220mm x B150mm x T8mm
- Jahr 2012
- EAN 9783846582411
- Format Kartonierter Einband
- ISBN 3846582417
- Veröffentlichung 03.02.2012
- Titel Applying Behavioral Finance to Investing
- Autor Alessandro Santoni
- Untertitel Cognitive Bias and market anomalies
- Gewicht 215g
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 132
- Genre Wirtschaft