We present a two-stage model for the decision making process of financial analysts when issuing earnings forecasts. In the first stage, financial analysts perform a fundamental analysis in which they are prone to a behavioral bias. In the second stage analysts can distort their earnings...

We present a two-stage model for the decision making process of financial analysts when issuing earnings forecasts. In the first stage, financial analysts perform a fundamental earnings analysis in which they are, potentially, subject to a behavioral bias. In the second stage analysts can adjust...

We present a two-stage model for the decision making process of financial analysts when issuing earnings forecasts. In the first stage, financial analysts perform a fundamental earnings analysis in which they are, potentially, subject to a behavioral bias. In the second stage analysts can adjust...

Mutual funds often inform directly about their strategy in their name. This paper studies the accuracy of mutual fund names. Constructing a fund name history data set based on SEC filings and applying unsupervised machine learning techniques, we document that a significant fraction of mutual...

In this article, we give various recommendations to boost the performance of credit risk models. It is based upon more than two decades of research and consulting on the topic. Building credit risk models typically entails four steps: gathering and preprocessing data, modelling of probability of...