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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.
  • 205
  • 28 Jun 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.
  • 145
  • 21 Jul 2022
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.
  • 251
  • 02 Aug 2022
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.
  • 100
  • 28 Sep 2022
Topic Review
Association between Internal Control and Sustainability
With the integration of sustainable development into all aspects of the economy, politics, society, culture, and ecology, the effectiveness and innovation of enterprises in sustainability have become global research issues. Internal control affects the current operation and management as the main means for enterprises to maintain normal production and operation and prevent risks. Internal control has, on the one hand, positive effects on enterprise sustainability by improving the quality of financial information, derived effects, and spillover effects. However, on the other hand, internal control can be detrimental to enterprise sustainability by increasing compliance costs and legal liabilities. 
  • 139
  • 12 Aug 2022
Topic Review
Bank Diversification and Firm Investment Decisions
Firms are financially constrained as well as there being a positive relationship between cash flow and investment among listed firms. Additionally, bank diversification significantly reduces the investment-cash flow sensitivity of firms, suggesting that bank diversification mitigates the financial constraints to borrowing firms. Moreover, the multi-diversification of a bank compared to single-diversification will have greater impact on mitigating the firms’ financial constraints on investment. Thus, bank diversification strategies are proposed in a bank-based financial system, leading to the easing of the borrowing firms’ financial constraints to investments.
  • 246
  • 14 Oct 2022
Topic Review
Blockchain Technology and Tokenization
Blockchain is an open-source technology that excludes the traditional third parties by relying on collective verification, thus offering a great alternative in terms of costs, traceability, security, and speed. When two financial entities such as banks receive a request to transfer money from one account to another, they have to update the balances of their respective customers. This costly and time-consuming coordination and synchronization exercise can be simplified on a blockchain by using a single ledger of transactions reflecting a single version of records instead of two different databases. Blockchain technology offers a myriad of value through a frictionless process of immutable and transparent records and through converting assets into digital tokens (i.e., tokenization) with smart contracts. 
  • 436
  • 01 Jun 2021
Topic Review
Blockchain Technology for Green Innovation
Blockchain technology has been heralded as a game changer for addressing severe environmental and economic sustainability challenges. In response to rising environmental concerns, blockchain technology (BCT) is transforming green innovation, culminating in green economic practices and well-established business models.
  • 592
  • 18 Apr 2022
Topic Review
Business Model of Sustainable Robo-Advisors
The given research paper examines the characteristics of German private investors regarding the probability of using robo-advisory-services. The used data set was gathered for this purpose (N = 305) to address the research question by using a logistic regression approach. The presented logit regression model results indicate that the awareness of sustainable aspects make a significant difference in the probability of using a sustainable robo-service. Additionally, our findings show that being male and cost-aware are positively associated with the use of a sustainable robo-advisor. Furthermore, the probability of use is 1.53 times higher among young and experienced investors. The findings in this paper provide relevant research findings for banks, asset managers, FinTechs, policy makers and financial practitioners to increase the adoption rate of robo-advice by introducing a sustainable offering.
  • 226
  • 29 Nov 2021
Topic Review
Capital Structure
Capital structure is a firm’s mix of debt and equity financing. It is one of the most controversial areas of finance. Many of the results obtained in capital structure theory over the last 50-60 years have been very influential and led their authors to great international recognition. Among the researchers who contributed significantly to capital structure theory, note Nobel Prize Award winners Franco Modigliani, Merton Miller, Joseph Stiglitz, and most recently Jean Tirole. More research and more results are expected in this area in near future.
  • 1421
  • 09 Jun 2022
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