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Full-Text Articles in Business
Are Markets Interested In Adapting To Climate? Insights From Singapore, Stella Whittaker, Tran Bao Phuong Nguyen
Are Markets Interested In Adapting To Climate? Insights From Singapore, Stella Whittaker, Tran Bao Phuong Nguyen
Sim Kee Boon Institute for Financial Economics
We have collected the views of leading practitioners and academics in Singapore involved in funding and financing urban climate change adaptation1 (thereon referred to as urban adaptation). Throughout this paper we discuss several vital perspectives on adaptation financing, namely responsibility for adaptation investment, the extent of government adaptation investment, private sector adaptation investment appetite and prospects for experimentation in adaptation financing. We also attempt to shed light on the existence or not of an adaptation financing gap2 in Singapore.
Irrational Exuberance: Panic Rooms And Flutters In Financial Markets, Vijay Fafat
Irrational Exuberance: Panic Rooms And Flutters In Financial Markets, Vijay Fafat
Asian Management Insights
As the memory of the 2008 financial crash fades, there are cautionary thoughts on why we tend to overshoot in our optimism, and why even genius comes to grief in the face of capricious, mercurial capital markets.
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.