This paper presents an online-experiment on overconfidence in the context of financial markets. Our subject pool consists of institutional investors, investment advisors and individual investors, all of them being registered users of a large online platform for market sentiment data. Due to...

This paper examines financial professionals' overconfidence in their forecasting performance. We are the first to compare individual financial professionals' self-ratings with their true forecasting performance. Data spans several years at monthly frequency. The forecasters in our sample do not...

This paper presents an online-experiment on overconfidence in the context of financial markets. Our subject pool consists of institutional investors, investment advisors and individual investors, all of them being registered users of a large online platform for market sentiment data. Due to...

Existing empirical evidence is inconclusive on whether professional investors show sophisticated behavior or not, a question which is at the heart of market efficiency. This ambiguous evidence is mostly based on trading data or laboratory evidence, which each has its limitations. We complement...

This paper presents an online-experiment on overconfidence in the context of financial markets. Our subject pool consists of institutional investors, investment advisors and individual investors, all of them being registered users of a large online platform for market sentiment data. Due to...

This paper examines financial professionals' overconfidence in their forecasting performance. We compare individuals' self-rating of performance with the true performance, both measured relative to the same peer group. The forecasters in our sample show overconfidence on average, although to a...

Existing empirical evidence is inconclusive on whether professional investors show sophisticated behavior or not, a question which is at the heart of market efficiency. This ambiguous evidence is mostly based on trading data or laboratory evidence, which each has its limitations. We complement...

This paper examines financial professionals' overconfidence in their forecasting performance. We are the first to compare individual financial professionals' self-ratings with their true forecasting performance. Data spans several years at monthly frequency. The forecasters in our sample do not...

This paper presents an online-experiment on overconfidence in the context of financial markets. Our subject pool consists of institutional investors, investment advisors and individual investors, all of them being registered users of a large online platform for market sentiment data. Due to...