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Accounting And Finance Lessons In The Time Of Covid-19: Views From The Pacific Basin: Part 2, Kuan Yong David Ding, Julie Harrison, Martien Lubberink, Chris Van Staden
Accounting And Finance Lessons In The Time Of Covid-19: Views From The Pacific Basin: Part 2, Kuan Yong David Ding, Julie Harrison, Martien Lubberink, Chris Van Staden
Research Collection Lee Kong Chian School Of Business
The global COVID-19 pandemic is now in its second year, and we are fast approaching the third. The year 2021 has brought some hope that vaccination will lead to the end of the pandemic. But it has also brought a more infectious variant of COVID-19 and multiple waves of surging cases that show no immediate sign of disappearing. As the pandemic continues to impact global societies and economies, it is imperative that we study its impact to try and understand how it will affect us in both the short-term and long-term. While the longer-term impacts are still unknown, there is …
Accounting And Finance Lessons In The Time Of Covid-19 – Views From The Pacific Basin, Kuan Yong David Ding, Julie Harrison, Martien Lubberink, Chris Van Staden
Accounting And Finance Lessons In The Time Of Covid-19 – Views From The Pacific Basin, Kuan Yong David Ding, Julie Harrison, Martien Lubberink, Chris Van Staden
Research Collection Lee Kong Chian School Of Business
The COVID-19 pandemic is expected to create the worst economic recession in our lifetime and generate “enormous damage to our health, jobs, and well-being” (OECD, 2020). This special issue focuses on the lessons for accounting and finance policy-makers, practitioners, and academics as a result of the social and economic turmoil that arose in the immediate period following the World Health Organization’s declaration of a pandemic (WHO, 2020). Governments responded to support businesses and economies using various policy tools to support markets, businesses and individuals impacted by the pandemic. It is timely to consider the extent to which policymakers and standard-setters …
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Research Collection Lee Kong Chian School Of Business
In finance and accounting, relative to quantitative methods traditionally used, textual analysis becomes popular recently despite of its substantially less precise manner. In an overview of the literature, we describe various methods used in textual analysis, especially machine learning. By comparing their classification performance, we find that neural network outperforms many other machine learning techniques in classifying news category. Moreover, we highlight that there are many challenges left for future development of textual analysis, such as identifying multiple objects within one single document.
E-Finance In Asean, David Kuo Chuen Lee
E-Finance In Asean, David Kuo Chuen Lee
Research Collection Lee Kong Chian School Of Business
No abstract provided.