A Hybrid Model for Addressing the Relationship between Financial Performance and Sustainable Development

CCUR > College of Business > Department of Banking & Finance > periodical articles > Item 987654321/44625

Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/44625

Title:	A Hybrid Model for Addressing the Relationship between Financial Performance and Sustainable Development
Authors:	Zhang, YF (Zhang, Yanfang) Lee, MS (Lee, Mushang)
Contributors:	財務金融學系
Keywords:	DATA ENVELOPMENT ANALYSIS DECISION-MAKING DEA PREDICTION EFFICIENCY CLASSIFIER MANAGEMENT MECHANISM RATIOS CITIES
Date:	2019-05-02
Issue Date:	2019-06-25 11:02:40 (UTC+8)
Abstract:	Measuring financial performance has become an essential topic due to the potential decimating impacts on the corporation itself as well as to whole societies during financial turmoil. In order to provide an overarching description of the multidimensional nature for measuring a corporation's operations, it is preferable to employ data envelopment analysis (DEA). Different from prior research that merely focuses on a singular DEA performance rank, this study extends it to multiple DEA specifications (i.e., it combines inputs and outputs in several different ways) so as to make judgments more complete and robust. We also execute fuzzy visualization technique (i.e., nonlinear fuzzy robust principal component analysis, NFRPCA) to represent the main characteristics of data so that non-specialists can have better access to the results. The analyzed result is then fed into the restricted Boltzmann machine (RBM) to establish a model to forecast a firm's operating performance. Even a fraction of accuracy improvement can result in considerable future savings to a firm and investors. When examined using real cases, the model is a promising alternative for operating performance forecasting and can assist both internal and external market participants.
Appears in Collections:	[Department of Banking & Finance ] periodical articles

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	201	View/Open

View Licence

Loading...