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Topic Review
Biography
Topic Review
Artificial Neural Network
Artificial neural networks (ANN) are known to be able to provide an abnormal return by using technical indicators as predictors in stock markets. The ANN, as a deep learning (DL) technique is used to recognize patterns or images by imitating the visual processing of living organisms.
726
28 Sep 2022
Topic Review
Artificial Intelligence Predicting Bankruptcy
Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success rates in classification tasks, it remains uncertain whether its use significantly enhances the potential for early warning of impending problems.
203
29 Jan 2024
Topic Review
Artificial Intelligence and Firm Performance
Developments in computer science, robotics, machine learning, and data accumulation have facilitated the application of advanced technologies in businesses. Among the cutting-edge technologies, Artificial Intelligence (AI) has gained growing attention in different sectors of society, industry, and business. The unprecedented novel coronavirus (COVID-19) pandemic has brought massive uncertainty and has negatively impacted health care, economy, population mobility, and numerous industries, including tourism, aviation, manufacturing, education, and other business sectors. The halted production, supply chain disruption, and shrinking customer activity led to a decline in company revenues and negatively affected corporate performance and the world economy.
997
02 Aug 2022
Topic Review
Application of Natural Language Processing in Stock Forecasting
The invention of Natural Language Processing (NLP) has provided a solution to develop computational models that enable the machine to understand human languages and automatically solve practical problems. Therefore, the application of NLP is becoming an important tool to reveal the investor behavioral information to explain the market variability and improve the stock prediction performance.
1.1K
21 Jul 2022
Topic Review
Anti-Corruption Disclosure and Political Corporate Social Responsibility
Corruption is a major concern globally, particularly in developing countries, such as Bangladesh, where it is the main obstacle to economic development. Corruption is also mentioned as the major impediment to accomplishing sustainable development. Corruption is the main impediment to economic development in Bangladesh. The country’s financial sector is under threat due to issues such as illegal money transfers, money laundering, and terrorist financing. The Paradise Papers and The Panama Papers scandals have found many Bangladeshi business people and politicians involved in offshore businesses globally. The recent misappropriation of the financial sector, financial heist of the Central Bank (BB), liquidity crises, share market scandal, and political intervention on banks have left the financial sector in turmoil. Companies provide more Corporate Social Responsibility (CSR) expenditure in order to signal to stakeholders about their motivation and determination to social responsibility in relation to enhancing transparency and accountability. Working in a high or low corruption environment, CSR expenditure has significant value because the expenditure increases visibility to the market, improving reputation.
612
28 Jun 2022
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