Showing 1 - 10 of 450
prediction performance of random walk without drift. More specifically, this paper applies the random forest, support vector …
Persistent link: https://www.econbiz.de/10012174126
This paper examines how individual religiosity at the top level of organizations affects the quality of their disclosure practices, as measured by the readability of annual reports. Our paper extends the recent accounting and finance literature that moves away from a location-based measure to an...
Persistent link: https://www.econbiz.de/10013470998
A constant in the business world is the frequent movement of customers joining or abandoning companies’ services and products. The customer is one of the company’s most important assets. Reducing the customer abandonment rate has become a matter of survival and, at the same time, the most...
Persistent link: https://www.econbiz.de/10012745384
shown to perform better than traditional time series models in cryptocurrency price prediction. However, very few studies …
Persistent link: https://www.econbiz.de/10012173959
The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model is still a challenge that researchers seek to address. Despite advances in current work that surpass the limitations of previous ones, research still faces new challenges in...
Persistent link: https://www.econbiz.de/10013273676
We estimate and compare the impact of the coronavirus pandemic (COVID-19) on the performance of Artificial Intelligence (AI) and conventional listed firms using stock market indices. The single-group and multiple-group Interrupted Time-Series Analyses (ITSA) with panel data were used with four...
Persistent link: https://www.econbiz.de/10013370386
The AI factory is an effective way of managing artificial intelligence (AI) processes, enabling broad AI deployment in a firm. The purpose of this study is to explore the role of the AI factory in an entrepreneurship context. How do AI-powered startups leverage AI to grow, and manage data risks?...
Persistent link: https://www.econbiz.de/10012534500
The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. Artificial intelligence (AI) techniques can detect such non-linearity, resulting in much-improved forecast results. This paper reviews 148 studies utilizing...
Persistent link: https://www.econbiz.de/10012795264
In this research, two estimation algorithms for extracting cross-lingual news pairs based on machine learning from financial news articles have been proposed. Every second, innumerable text data, including all kinds news, reports, messages, reviews, comments, and tweets are generated on the...
Persistent link: https://www.econbiz.de/10011855132
predictive power in directional forecasts. Moreover, the evidence suggests that information regarding prediction timing is a key …
Persistent link: https://www.econbiz.de/10012813245