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Author: Zhiyong Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 13
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Book Description
Creditors such as banks frequently use expert systems to support their decisions when issuing loans and credit assessment has been an important area of application of machine learning techniques for decades. In practice, banks are often required to provide the rationale behind their decisions in addition to being able to predict the performance of companies when assessing corporate applicants for loans. One solution is to use Data Envelopment Analysis (DEA) to evaluate multiple decision-making units (DMUs or companies) which are ranked according to the best practice in their industrial sector. A linear programming algorithm is employed to calculate corporate efficiency as a measure to distinguish healthy companies from those in financial distress. This paper extends the cross-sectional DEA models to time-varying Malmquist DEA, since dynamic predictive models allow one to incorporate changes over time. This decision-support system can adjust the efficiency frontier intelligently over time and make robust predictions. Results based on a sample of 742 Chinese listed companies observed over 10 years suggest that Malmquist DEA offers insights into the competitive position of a company in addition to accurate financial distress predictions based on the DEA efficiency measures.
Author: Zhiyong Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 13
Get Book Here
Book Description
Creditors such as banks frequently use expert systems to support their decisions when issuing loans and credit assessment has been an important area of application of machine learning techniques for decades. In practice, banks are often required to provide the rationale behind their decisions in addition to being able to predict the performance of companies when assessing corporate applicants for loans. One solution is to use Data Envelopment Analysis (DEA) to evaluate multiple decision-making units (DMUs or companies) which are ranked according to the best practice in their industrial sector. A linear programming algorithm is employed to calculate corporate efficiency as a measure to distinguish healthy companies from those in financial distress. This paper extends the cross-sectional DEA models to time-varying Malmquist DEA, since dynamic predictive models allow one to incorporate changes over time. This decision-support system can adjust the efficiency frontier intelligently over time and make robust predictions. Results based on a sample of 742 Chinese listed companies observed over 10 years suggest that Malmquist DEA offers insights into the competitive position of a company in addition to accurate financial distress predictions based on the DEA efficiency measures.
Author: Miltiadis D. Lytras
Publisher: MDPI
ISBN: 303651161X
Category : Technology & Engineering
Languages : en
Pages : 278
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Book Description
Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.
Author: M. Kenan Terzioğlu
Publisher: Springer Nature
ISBN: 3030852547
Category : Business & Economics
Languages : en
Pages : 607
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Book Description
This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes. This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.
Author: Błażej Prusak
Publisher: MDPI
ISBN: 303928911X
Category : Business & Economics
Languages : en
Pages : 202
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Book Description
Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy.
Author: William A. Barnett
Publisher: Emerald Group Publishing
ISBN: 1838673598
Category : Business & Economics
Languages : en
Pages : 604
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Book Description
Recent Developments in Asian Economics is a crucial resource of current, cutting-edge research for any scholar of international finance and economics. Chapters cover a wide range of topics, such as social welfare systems, organizational culture, sustainability, the impact of economic policy uncertainty, and more.
Author: Miroslav Zizka
Publisher: Springer Nature
ISBN: 3030799077
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
This book highlights the importance of clusters for the competitiveness of companies and is divided into three interrelated parts. The first part focuses on localization economics, cluster theory, the role of innovation, and innovation partnerships in cluster formations. The second part of the volume presents original research carried out from 2018 to 2020 in the field of both natural clusters and organized clusters. In addition to examining the impact of cluster membership, the contributions also focus on additional factors that may affect the financial performance of companies. In the third part, an additional survey and case studies are presented, to examine the specifics of family businesses in selected industrial districts of the textile, glass, and jewelry industries. A broader overview of the development of dominant industries in the selected districts is provided, for an easier understanding of the relationships of competition among companies and locations in the business clusters. The book evaluates implications for microeconomic and macroeconomic policies and provides proposals for corporate inter-organizational behavior. This volume addresses scholars and researchers of economics, business, and management, as well as policy-makers and practitioners interested in a better understanding of innovation and performance drivers of business clusters.
Author: Umer Shahzad
Publisher: Frontiers Media SA
ISBN: 2832534872
Category : Science
Languages : en
Pages : 518
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Book Description
Economic development has long been acknowledged for its beneficial effects on human well-being. In the context of economic globalization and vertical specialization, increasing the quality of export products is more critical and necessary to export success and sustainable development. The product's quality is inextricably linked to its manufacture and production, which need various types of energy and raw materials. Meanwhile, the adoption of more environmentally friendly and cleaner energy sources contributes to the achievement of sustainable production. Therefore, product quality may provide a new perspective from which to investigate the systematic relationship between greener and renewable energy sources, sustainable production and environmental regulations, as well as the nature of export competitiveness. Generally, export product quality has referred to the quality of manufactured products within the product lines. Quality refers to the relative price of a country's varieties within their respective product lines. Product sophistication assesses the composition of the aggregate exports. Different varieties of same product as per quality level are being produced by several developing and emerging economies. Within any given product line, quality converges both conditionally and unconditionally to the world's benchmark; increases in institutional quality and human capital are associated with faster quality upgrading. In turn, faster growth in quality is associated with more rapid output growth.
Author: Timothy J. Coelli
Publisher: Springer Science & Business Media
ISBN: 9780387242651
Category : Business & Economics
Languages : en
Pages : 376
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Book Description
Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software will be available for download from the web to accompany the volume.
Author: Peter Bogetoft
Publisher: Springer Science & Business Media
ISBN: 1441979611
Category : Business & Economics
Languages : en
Pages : 362
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Book Description
This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows how to make the relevant calculations and discusses applications. The aim is to make the reader aware of the pros and cons of the different methods and to show how to use these methods in both standard and non-standard cases. Several software packages have been developed to solve some of the most common DEA and SFA models. This book relies on R, a free, open source software environment for statistical computing and graphics. This enables the reader to solve not only standard problems, but also many other problem variants. Using R, one can focus on understanding the context and developing a good model. One is not restricted to predefined model variants and to a one-size-fits-all approach. To facilitate the use of R, the authors have developed an R package called Benchmarking, which implements the main methods within both DEA and SFA. The book uses mathematical formulations of models and assumptions, but it de-emphasizes the formal proofs - in part by placing them in appendices -- or by referring to the original sources. Moreover, the book emphasizes the usage of the theories and the interpretations of the mathematical formulations. It includes a series of small examples, graphical illustrations, simple extensions and questions to think about. Also, it combines the formal models with less formal economic and organizational thinking. Last but not least it discusses some larger applications with significant practical impacts, including the design of benchmarking-based regulations of energy companies in different European countries, and the development of merger control programs for competition authorities.
Author: William W. Cooper
Publisher: Springer Science & Business Media
ISBN: 1441961518
Category : Business & Economics
Languages : en
Pages : 513
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Book Description
This handbook covers DEA topics that are extensively used and solidly based. The purpose of the handbook is to (1) describe and elucidate the state of the field and (2), where appropriate, extend the frontier of DEA research. It defines the state-of-the-art of DEA methodology and its uses. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are generally major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, which, in the present issue extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, engineering, health care, and services. The handbook's chapters are organized into two categories: (i) basic DEA models, concepts, and their extensions, and (ii) DEA applications. First edition contributors have returned to update their work. The second edition includes updated versions of selected first edition chapters. New chapters have been added on: different approaches with no need for a priori choices of weights (called “multipliers) that reflect meaningful trade-offs, construction of static and dynamic DEA technologies, slacks-based model and its extensions, DEA models for DMUs that have internal structures network DEA that can be used for measuring supply chain operations, Selection of DEA applications in the service sector with a focus on building a conceptual framework, research design and interpreting results.
