Autor/Autorin: Zhang Felix
Felix Zhang was born and raised in Berwyn, Pennsylvania. He completed his undergraduate studies at Harvard University and graduated with honors in 2011 with a Bachelor's degree in Economics and a secondary concentration in Neurobiology. He is the son of Drs. James and Danyi Zhang. Felix is currently an analyst at Goldman Sachs.
This research work represents an original model of social proof advertising effect on investor choice under financial risk. It models investor updating of personal information signals with the public signals provided by advertisements where the weight with which the individual considers each signal is described by a social proof effect. Ultimately this thesis suggests that social proof advertising is effective even in the context of mutual fund advertising and situations of higher risk. I would like to thank my advisor Prof. Malcolm Baker for providing the inspiration and support that made this thesis possible. I would also like to acknowledge Katie Baldiga for all her assistance and guidance throughout this process and Professors David Laibson and Andrei Shleifer for their advice and contributions to this thesis. Finally I want to thank my family and friends who never failed to support me in this and any other endeavor.
Felix Zhang was born and raised in Berwyn, Pennsylvania. He completed his undergraduate studies at Harvard University and graduated with honors in 2011 with a Bachelor's degree in Economics and a secondary concentration in Neurobiology. He is the son of Drs. James and Danyi Zhang. Felix is currently an analyst at Goldman Sachs.
Über den Autor
Felix Zhang was born and raised in Berwyn, Pennsylvania. He completed his undergraduate studies at Harvard University and graduated with honors in 2011 with a Bachelor's degree in Economics and a secondary concentration in Neurobiology. He is the son of Drs. James and Danyi Zhang. Felix is currently an analyst at Goldman Sachs.
Klappentext
This research work represents an original model of social proof advertising effect on investor choice under financial risk. It models investor updating of personal information signals with the public signals provided by advertisements where the weight with which the individual considers each signal is described by a social proof effect. Ultimately this thesis suggests that social proof advertising is effective even in the context of mutual fund advertising and situations of higher risk. I would like to thank my advisor Prof. Malcolm Baker for providing the inspiration and support that made this thesis possible. I would also like to acknowledge Katie Baldiga for all her assistance and guidance throughout this process and Professors David Laibson and Andrei Shleifer for their advice and contributions to this thesis. Finally I want to thank my family and friends who never failed to support me in this and any other endeavor.