The aim of this paper is to present novel tests for the early causal diagnostic of positive and negative bubbles in the S&P 500 index and the detection of End-of-Bubble signals with their corresponding confidence levels. We use monthly S&P 500 data covering the period from August 1791 to August...

This collection of papers analyzes the versatility and predictive power of survey expectations data in asset pricing and macroeconomic forecasting. The first paper, Using Sentiment Surveys to Predict GDP Growth and Stock Returns sheds new light on the question of whether or not sentiment...

We find that CEOs issue significantly more favorable management earnings forecasts (MEFs), relative to the prevailing analyst consensus, to boost stock prices when approaching performance evaluation end dates. The effect is more pronounced for firms with lower past stock returns and when award...

We conduct laboratory experiments on variants of market scoring rule prediction markets, under different information distribution patterns, in order to evaluate the efficiency and speed of information aggregation, as well as test recent theoretical results on manipulative behavior by traders. We...

The ad hoc Black-Scholes (AHBS) model is one of the most widely used option valuation models among practitioners models. The main contribution of this study is methodological. We have two main results: (1) we make the empirical observation that typically the call and put sneers are discontinuous...

This article analyzes the manifold situations in which the efficient-market hypothesis (EMH) has influenced — or has failed to influence — federal securities regulation and state corporate law, and the prospective roles for the EMH in these contexts. In federal securities regulation, the EMH...

We consider a cross-calibration test of predictions by multiple potential experts in a stochastic environment. This test checks whether each expert is calibrated conditional on the predictions made by other experts. We show that this test is good in the sense that a true expert - one informed of...

Motivated by the question of how one should evaluate professional election forecasters, we study a novel dynamic mechanism design problem without transfers. A principal who wishes to hire only high-quality forecasters is faced with an agent of unknown quality. The agent privately observes...

This paper studies a robustness of solutions in finite depth of reasoning models. The level-k and cognitive hierarchy models conventionally assume that each player has a commonly known anchor behavior to obtain a sharp prediction. We provide a general framework to examine whether the obtained...