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Social and Behavioral Sciences Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
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.
Evaluating Density Forecasts With Applications To Financial Risk Management, Francis X. Diebold, Todd A. Gunther, Anthony S. Tay
Evaluating Density Forecasts With Applications To Financial Risk Management, Francis X. Diebold, Todd A. Gunther, Anthony S. Tay
Research Collection School Of Economics
We propose methods for evaluating density forecasts. We focus primarily on methods that are applicable regardless of the particular user’s loss function. We illustrate the methods with a detailed simulation example, and then we present an application to density forecasting of daily stock market returns. We discuss extensions for improving suboptimal density forecasts, multi-step-ahead density forecast evaluation, multivariate density forecast evaluation, monitoring for structural change and its relationship to density forecasting, and density forecast evaluation with known loss function.