Results 161 to 170 of about 32,823 (296)

The effect of CEO adverse professional experience on management forecast pessimism

Accounting &Finance, Volume 65, Issue 1, Page 219-250, March 2025.
Abstract We examine how CEOs' past experiences of corporate distress affect their subsequent forecast behaviour. We find that CEOs who experienced distress in a non‐CEO position at another firm issue more pessimistic management earnings forecasts after becoming CEO at their current firm.
Eunice S. Khoo, Louise Y. Lu, Zihang Peng   +2 more
wiley   +1 more source

Monetary Policy, Investor Sentiment and Stock Price Bubble: Evidence From China

Accounting &Finance, EarlyView.
ABSTRACT The empirical results indicate that an increase in interest rates may stimulate a significant and persistent stock price bubble, which is consistent with rational asset price bubble theory. This finding suggests that central banks should implement anti‐turbulent monetary policy with caution, since inappropriate tightening may unintentionally ...
Jiahao Gong, Haofan Qiang, Xiaojian Niu, Chante Jian Ding   +3 more
wiley   +1 more source

The dynamics of overconfidence: Evidence from stock market forecasters [PDF]

As a group, market forecasters are egregiously overconfident. In conformity to the dynamic model of overconfidence of Gervais and Odean (2001), successful forecasters become more overconfident.
Erik Lüders, Michael Schröder, Richard Deaves   +2 more
core  

Preventing lower‐level gambling harms: Shifting from individual‐ to system‐frame approaches

Addiction, EarlyView.
Abstract Background Gambling‐related harm is not concentrated solely among individuals meeting criteria for problematic or disordered gambling. Tackling harm at a population level is essential to reducing the total burden of harm and preventing escalation to more severe harms.
Robert M. Heirene
wiley   +1 more source

Long‐run confidence: Estimating uncertainty when using long‐run multipliers

American Journal of Political Science, EarlyView.
Abstract Researchers are often interested in the long‐run relationship (LRR) between variables where the dependent variable has dynamic properties. Though determining the long‐run multiplier (LRM) for an independent variable is straightforward, correctly estimating the significance of the LRM is often difficult, especially when time series are short ...
Mark David Nieman, David A. M. Peterson
wiley   +1 more source

Punchline with(out) purpose: Integrating research on instructional humour and seductive details

British Journal of Educational Psychology, EarlyView.
Abstract Introduction We integrated research on instructional humour and seductive details to investigate when affiliative course‐related humour is effective or rather ineffective for learning. We assumed that instructional humour without a cognitive function (irrelevant humour) would have detrimental effects on learning performance resembling the ...
Lisa Bender, Alexander Renkl, Tino Endres   +2 more
wiley   +1 more source

Algorithm aversion revisited: The role of AI literacy and attitudes towards AI in shaping perceptions of AI‐generated texts

British Journal of Educational Technology, EarlyView.
Abstract Scientific publications on AI education frequently express concerns that students at all educational levels, lacking sufficient AI literacy, may become passive learners due to the use of generative language models and blindly trust AI outputs.
Matthias Carl Laupichler, Nils Knoth, Johannes Schleiss, Tobias Raupach   +3 more
wiley   +1 more source

Overconfidence Bias as an Explanation of Economic Behaviours

Highlights in Business, Economics and Management
Overconfidence is a cognitive bias that primarily consists of three components: overestimation, overplacement, and overprecision. Overconfidence bias has a wide range of applications in real-life scenarios like medical, educational, and financial fields. This paper focuses on the impact of overconfidence bias in two economic areas: the stock market and
openaire   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo, Jan‐Willem Simons, Haiyan Liu   +2 more
wiley   +1 more source

Evaluating Creative Output With Generative Artificial Intelligence: Comparing GPT Models and Human Experts in Idea Evaluation

Creativity and Innovation Management, Volume 34, Issue 4, Page 991-1012, December 2025.
ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley   +1 more source