In their March 2018 paper entitled «Self -
Attribution Bias and Overconfidence Among Nonprofessional Traders», Daniel Czaja and Florian Röder employ data from a large European social trading platform to examine: (1) how self - enhancement (attributing successes to self) and self - protection (attributing failures to external factors) components of self - attribution bias affect non-professional trading performance; and, (2) how social trading platforms transfer any such effects to other non-profession
Attribution Bias and Overconfidence Among Nonprofessional Traders», Daniel Czaja and Florian Röder employ data from a large European social trading platform to examine: (1) how self - enhancement (attributing successes to self) and self - protection (attributing failures to external
factors) components of self -
attribution bias affect non-professional trading performance; and, (2) how social trading platforms transfer any such effects to other non-profession
attribution bias affect non-professional trading
performance; and, (2) how social trading platforms transfer any such effects to other non-professional traders.
Decomposing
performance of the S&P 500 EW relative to the S&P 500, using 2
Factor Brinson
Attribution (showing sector allocation and security selection effects) illustrates the historical impact of EW variation relative to the cap - weighted benchmark.