Results 231 to 240 of about 15,208,782 (347)

From Regression to Reasoning: Predicting M&A Announcement Returns With Large Language Models

open access: yesEuropean Financial Management, EarlyView.
ABSTRACT This study investigates whether large language models (LLMs) can predict short‐term market reactions to M&A announcements. We prompt OpenAI's latest reasoning models (o3, GPT‐5, and GPT‐5.1) to forecast whether the combined market value of acquirer and target will increase or decrease, drawing on deal‐, firm‐, and macroeconomic data for large ...
Maximilian Schreiter   +2 more
wiley   +1 more source

Financial Statement Information and Equity Value: The Role of Real Options Characteristics

open access: yesFinancial Management, EarlyView.
ABSTRACT This paper examines whether firm‐specific real options characteristics are equity value‐relevant beyond valuation estimates anchored in financial statements. Using extensive historical data for the United Kingdom, we assess and compare the forecast accuracy and explanatory power for stock prices of equity valuation models based on residual ...
Mingyu (Chandler) Chen   +2 more
wiley   +1 more source

Discharge‐Targeted Hydraulic Tomography to Quantify and Locate Aquifer Discharge

open access: yesGroundwater, EarlyView.
Abstract Quantifying and localizing groundwater discharge is inherently difficult. It requires knowledge about hydraulic conductivity and the hydraulic gradient on the scale of interest. Conventional hydraulic testing, such as pumping tests, may fail in the presence of heterogeneity and complex structural boundaries.
Konstantin Drach   +2 more
wiley   +1 more source

Signaling Vision: Knowing When to Quit

open access: yesInternational Economic Review, EarlyView.
ABSTRACT We study a signaling game where agents signal their type by choosing when to quit pursuing an uncertain project. High types observe news about project quality and quit when bad news arrives. Low types who do not observe any news may mimic high types by quitting continuously over a phase of time.
Junichiro Ishida, Wing Suen
wiley   +1 more source

Dynamic Trust Formation in AI‐Enabled Automation: A Longitudinal Case Study of an Advanced Driver Assistance System

open access: yesInformation Systems Journal, EarlyView.
ABSTRACT Artificial intelligence (AI)–enabled automation is often utilised in systems that perform human tasks. While useful, these technologies pose a risk of adverse consequences in the case of AI failures as they operate in open environments, learn and are subject to continuous updates.
Kari M. Koskinen   +3 more
wiley   +1 more source

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