This paper compares models trained with classification algorithm with those trained using regression algorithm. We use technical indicators, 43 bond characteristics and 94 stock characteristics as predictors. We find very strong evidences of the superior predictive ability of classification...

This paper explores how the medical expenditure risk affects the households' portfolio choice across health status theoretically in a life cycle model and empirically using machine learning methods. Medical expenditure risk, as a background risk, can relocate households' financial decisions. A...

We examine the productivity effects of a generative artificial intelligence technology—the assistive chatbot ChatGPT—in the context of mid-level professional writing tasks. In a preregistered online experiment, we assign occupation-specific, incentivized writing tasks to 444 college-educated...

The influence of artificial intelligence is vast, whether it's in economics, environmental issues, or social ones. By analyzing data, decisions can be made with greater ease. This has been made possible by deep learning machines. SDGs can be achieved through artificial intelligence if it...

Purpose: Katsikopoulos et al. (2021) found that the recency heuristic's forecasts of week-ahead percentage of doctor visits associated with influenza symptoms-reduced forecast errors by nearly one-half compared to Google Flu Trends' machine learning model. This research note examined whether the...

Financial data is characterized by a low signal-to-noise ratio making it difficult to identify robust functional forms that map the characteristics of financial securities to expected returns (Lettau and Pelger, 2020). In this paper, we modify the standard prediction problem in empirical asset...

Artificial Intelligence is an evolving area of research within the auditing and accounting community. It is the auditor’s responsibility to obtain appropriate and sufficient audit evidence based on vast datasets. Therefore, AI is essential for an auditor to derive a reliable decision....

Artificial intelligence (AI) has rapidly emerged as a transformative technology with the potential to revolutionize numerous industries and applications. While government organizations actively support the AI innovation ecosystem through funding and policy making, their active and direct...

The outsourcing of IT services poses a conundrum to the traditional theories of the firm. While there are many prescriptive sourcing metrics that are geared towards the evaluation of tangible and measurable aspects of vendors and clients, much of the information that is traditionally important...

This paper develops a replicable and scalable method for analyzing tone in economics seminars to study the relationship between speaker gender, age, and tone in both static and dynamic settings. We train a deep convolutional neural network on public audio data from the computer science...