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We develop a state‐of‐the‐art fraud prediction model using a machine learning approach. We demonstrate the value of … logistic regression. To assess the performance of fraud prediction models, we introduce a new performance evaluation metric … commonly used in ranking problems that is more appropriate for the fraud prediction task. Starting with an identical set of …
Persistent link: https://www.econbiz.de/10012841556
A vast literature has documented an optimistic bias of U.S. analysts. This study compares the optimistic bias of U.S. analysts to that of foreign analysts. Using the implied rate of return in target prices, i.e., the ratio of the target price to the stock price one day before the target price...
Persistent link: https://www.econbiz.de/10013047669
We compare the valuation accuracy of the equity value estimates inferred from empirical implementations of the abnormal earnings growth model (Ohlson and Juettner-Nauroth 2005; the OJ estimates) with the residual income model (Ohlson 1995; the RIV estimates). We find that the OJ estimates generally...
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We examine how gender and beauty affect the likelihood of being voted as an All-Star in the financial analyst profession in both the United States and China. We find that female analysts are more likely to be voted as All-Star analysts in the United States, but good-looking female U.S. analysts...
Persistent link: https://www.econbiz.de/10012849939
We examine whether differences between IFRS and U.S. GAAP affect forecast accuracy and other measures of analysts' performance and if analysts with superior forecasting ability are less affected by these differences. Our unique sample consists of resided U.S. analysts who followed cross-listed...
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