Credit Rating Modelling By Neural Networks

Download Credit Rating Modelling By Neural Networks full books in PDF, epub, and Kindle. Read online Credit Rating Modelling By Neural Networks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Methods for Decision Making in an Uncertain Environment

Author : Jaime Gil Aluja
Publisher : World Scientific
ISBN 13 : 9814415774
Total Pages : 471 pages
Book Rating : 4.8/5 (144 download)

DOWNLOAD NOW!

Book Synopsis Methods for Decision Making in an Uncertain Environment by : Jaime Gil Aluja

Download or read book Methods for Decision Making in an Uncertain Environment written by Jaime Gil Aluja and published by World Scientific. This book was released on 2012 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems. This book is very useful for researchers and graduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments. The contributors are experienced scholars of different countries who offer real world applications of these mathematical techniques.

Credit Rating Modelling by Neural Networks

Author : Petr Hájek
Publisher :
ISBN 13 : 9781616686796
Total Pages : 0 pages
Book Rating : 4.6/5 (867 download)

DOWNLOAD NOW!

Book Synopsis Credit Rating Modelling by Neural Networks by : Petr Hájek

Download or read book Credit Rating Modelling by Neural Networks written by Petr Hájek and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the modelling possibilities of neural networks on a complex real-world problem, i.e. credit rating process modelling. Current approaches in credit rating modelling are introduced, as well as the incorporation of previous findings on corporate and municipal credit rating modelling. Based on this analysis, the model is designed to classify US companies and municipalities into credit rating classes. The model includes data pre-processing, the selection process of input variables, and the design of various neural networks' structures for classification.

Managerial Perspectives on Intelligent Big Data Analytics

Author : Sun, Zhaohao
Publisher : IGI Global
ISBN 13 : 1522572783
Total Pages : 357 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Managerial Perspectives on Intelligent Big Data Analytics by : Sun, Zhaohao

Download or read book Managerial Perspectives on Intelligent Big Data Analytics written by Sun, Zhaohao and published by IGI Global. This book was released on 2019-02-22 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

Rule Extraction from Support Vector Machines

Author : Joachim Diederich
Publisher : Springer
ISBN 13 : 3540753907
Total Pages : 267 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!

Book Synopsis Rule Extraction from Support Vector Machines by : Joachim Diederich

Download or read book Rule Extraction from Support Vector Machines written by Joachim Diederich and published by Springer. This book was released on 2007-12-27 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, including text and image classification. However, the learning capability of SVMs comes at a cost – an inherent inability to explain in a comprehensible form, the process by which a learning result was reached. Hence, the situation is similar to neural networks, where the apparent lack of an explanation capability has led to various approaches aiming at extracting symbolic rules from neural networks. For SVMs to gain a wider degree of acceptance in fields such as medical diagnosis and security sensitive areas, it is desirable to offer an explanation capability. User explanation is often a legal requirement, because it is necessary to explain how a decision was reached or why it was made. This book provides an overview of the field and introduces a number of different approaches to extracting rules from support vector machines developed by key researchers. In addition, successful applications are outlined and future research opportunities are discussed. The book is an important reference for researchers and graduate students, and since it provides an introduction to the topic, it will be important in the classroom as well. Because of the significance of both SVMs and user explanation, the book is of relevance to data mining practitioners and data analysts.

FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk

Author : Majid Bazarbash
Publisher : International Monetary Fund
ISBN 13 : 1498314422
Total Pages : 34 pages
Book Rating : 4.4/5 (983 download)

DOWNLOAD NOW!

Book Synopsis FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk by : Majid Bazarbash

Download or read book FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk written by Majid Bazarbash and published by International Monetary Fund. This book was released on 2019-05-17 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financial inclusion and outperform traditional credit scoring by (1) leveraging nontraditional data sources to improve the assessment of the borrower’s track record; (2) appraising collateral value; (3) forecasting income prospects; and (4) predicting changes in general conditions. However, because of the central role of data in ML-based analysis, data relevance should be ensured, especially in situations when a deep structural change occurs, when borrowers could counterfeit certain indicators, and when agency problems arising from information asymmetry could not be resolved. To avoid digital financial exclusion and redlining, variables that trigger discrimination should not be used to assess credit rating.

Credit Intelligence & Modelling

Author : Raymond A. Anderson
Publisher : Oxford University Press
ISBN 13 : 0192844199
Total Pages : 934 pages
Book Rating : 4.1/5 (928 download)

DOWNLOAD NOW!

Book Synopsis Credit Intelligence & Modelling by : Raymond A. Anderson

Download or read book Credit Intelligence & Modelling written by Raymond A. Anderson and published by Oxford University Press. This book was released on 2022 with total page 934 pages. Available in PDF, EPUB and Kindle. Book excerpt: Credit Intelligence and Modelling provides an indispensable explanation of the statistical models and methods used when assessing credit risk and automating decisions. Over eight modules, the book covers consumer and business lending in both the developed and developing worlds, providing the frameworks for both theory and practice. It first explores an introduction to credit risk assessment and predictive modelling, micro-histories of credit and credit scoring, as well as the processes used throughout the credit risk management cycle. Mathematical and statistical tools used to develop and assess predictive models are then considered, in addition to project management and data assembly, data preparation from sampling to reject inference, and finally model training through to implementation. Although the focus is credit risk, especially in the retail consumer and small-business segments, many concepts are common across disciplines, whether for academic research or practical use. The book assumes little prior knowledge, thus making it an indispensable desktop reference for students and practitioners alike. Credit Intelligence and Modelling expands on the success of The Credit Scoring Toolkit to cover credit rating and intelligence agencies, and the data and tools used as part of the process.

Neural Networks in Finance

Author : Paul D. McNelis
Publisher : Academic Press
ISBN 13 : 0124859674
Total Pages : 262 pages
Book Rating : 4.1/5 (248 download)

DOWNLOAD NOW!

Book Synopsis Neural Networks in Finance by : Paul D. McNelis

Download or read book Neural Networks in Finance written by Paul D. McNelis and published by Academic Press. This book was released on 2005-01-05 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction. McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japan, to credit card default in Germany to bank failures in Texas, to cap-floor volatilities in New York and Hong Kong. * Offers a balanced, critical review of the neural network methods and genetic algorithms used in finance * Includes numerous examples and applications * Numerical illustrations use MATLAB code and the book is accompanied by a website

Credit Scoring and Its Applications, Second Edition

Author : Lyn Thomas
Publisher : SIAM
ISBN 13 : 1611974569
Total Pages : 380 pages
Book Rating : 4.6/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Credit Scoring and Its Applications, Second Edition by : Lyn Thomas

Download or read book Credit Scoring and Its Applications, Second Edition written by Lyn Thomas and published by SIAM. This book was released on 2017-08-16 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Credit Scoring and Its Applications is recognized as the bible of credit scoring. It contains a comprehensive review of the objectives, methods, and practical implementation of credit and behavioral scoring. The authors review principles of the statistical and operations research methods used in building scorecards, as well as the advantages and disadvantages of each approach. The book contains a description of practical problems encountered in building, using, and monitoring scorecards and examines some of the country-specific issues in bankruptcy, equal opportunities, and privacy legislation. It contains a discussion of economic theories of consumers' use of credit, and readers will gain an understanding of what lending institutions seek to achieve by using credit scoring and the changes in their objectives. New to the second edition are lessons that can be learned for operations research model building from the global financial crisis, current applications of scoring, discussions on the Basel Accords and their requirements for scoring, new methods for scorecard building and new expanded sections on ways of measuring scorecard performance. And survival analysis for credit scoring. Other unique features include methods of monitoring scorecards and deciding when to update them, as well as different applications of scoring, including direct marketing, profit scoring, tax inspection, prisoner release, and payment of fines.

Data Science for Economics and Finance

Author : Sergio Consoli
Publisher : Springer Nature
ISBN 13 : 3030668916
Total Pages : 357 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Data Science for Economics and Finance by : Sergio Consoli

Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

Credit Scoring, Response Modeling, and Insurance Rating

Author : S. Finlay
Publisher : Springer
ISBN 13 : 1137031697
Total Pages : 315 pages
Book Rating : 4.1/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Credit Scoring, Response Modeling, and Insurance Rating by : S. Finlay

Download or read book Credit Scoring, Response Modeling, and Insurance Rating written by S. Finlay and published by Springer. This book was released on 2012-06-26 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and governments to drive the decisions they make about their customers, demonstrating who to target with a promotional offer, who to give a credit card to and the premium someone should pay for home insurance.

Credit Scoring, Response Modelling and Insurance Rating

Author : S. Finlay
Publisher : Springer
ISBN 13 : 0230298982
Total Pages : 295 pages
Book Rating : 4.2/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Credit Scoring, Response Modelling and Insurance Rating by : S. Finlay

Download or read book Credit Scoring, Response Modelling and Insurance Rating written by S. Finlay and published by Springer. This book was released on 2010-10-27 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every year, financial services organizations make billions of dollars worth of decisions using automated systems. For example, who to give a credit card to and the premium someone should pay for their home insurance. This book explains how the forecasting models, that lie at the heart of these systems, are developed and deployed.

Methods For Decision Making In An Uncertain Environment - Proceedings Of The Xvii Sigef Congress

Author : Jaime Gil-aluja
Publisher : World Scientific
ISBN 13 : 9814415782
Total Pages : 471 pages
Book Rating : 4.8/5 (144 download)

DOWNLOAD NOW!

Book Synopsis Methods For Decision Making In An Uncertain Environment - Proceedings Of The Xvii Sigef Congress by : Jaime Gil-aluja

Download or read book Methods For Decision Making In An Uncertain Environment - Proceedings Of The Xvii Sigef Congress written by Jaime Gil-aluja and published by World Scientific. This book was released on 2012-05-28 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems. This book is very useful for researchers and graduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments. The contributors are experienced scholars of different countries who offer real world applications of these mathematical techniques./a

Econometrics for Financial Applications

Author : Ly H. Anh
Publisher : Springer
ISBN 13 : 3319731505
Total Pages : 1089 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Econometrics for Financial Applications by : Ly H. Anh

Download or read book Econometrics for Financial Applications written by Ly H. Anh and published by Springer. This book was released on 2017-12-18 with total page 1089 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses both theoretical developments in and practical applications of econometric techniques to finance-related problems. It includes selected edited outcomes of the International Econometric Conference of Vietnam (ECONVN2018), held at Banking University, Ho Chi Minh City, Vietnam on January 15-16, 2018. Econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. An extremely important part of economics is finances: a financial crisis can bring the whole economy to a standstill and, vice versa, a smart financial policy can dramatically boost economic development. It is therefore crucial to be able to apply mathematical techniques of econometrics to financial problems. Such applications are a growing field, with many interesting results – and an even larger number of challenges and open problems.

Credit Risk Management

Author : Jiří Witzany
Publisher : Springer
ISBN 13 : 3319498002
Total Pages : 264 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Credit Risk Management by : Jiří Witzany

Download or read book Credit Risk Management written by Jiří Witzany and published by Springer. This book was released on 2017-02-24 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces to basic and advanced methods for credit risk management. It covers classical debt instruments and modern financial markets products. The author describes not only standard rating and scoring methods like Classification Trees or Logistic Regression, but also less known models that are subject of ongoing research, like e.g. Support Vector Machines, Neural Networks, or Fuzzy Inference Systems. The book also illustrates financial and commodity markets and analyzes the principles of advanced credit risk modeling techniques and credit derivatives pricing methods. Particular attention is given to the challenges of counterparty risk management, Credit Valuation Adjustment (CVA) and the related regulatory Basel III requirements. As a conclusion, the book provides the reader with all the essential aspects of classical and modern credit risk management and modeling.

Advances in Neural Network Research and Applications

Author : Zhigang Zeng
Publisher : Springer Science & Business Media
ISBN 13 : 3642129900
Total Pages : 921 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!

Book Synopsis Advances in Neural Network Research and Applications by : Zhigang Zeng

Download or read book Advances in Neural Network Research and Applications written by Zhigang Zeng and published by Springer Science & Business Media. This book was released on 2010-05-10 with total page 921 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural networks and related fields, with a successful sequence of ISNN series in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), Beijing (2008), and Wuhan (2009). Following the tradition of ISNN series, ISNN 2010 provided a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research in neural networks and related fields, and also discuss the major opportunities and challenges of future neural network research. Over the past decades, the neural network community has witnessed significant breakthroughs and developments from all aspects of neural network research, including theoretical foundations, architectures, and network organizations, modeling and simulation, empirical studies, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, has provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large scale, and networked brain-like intelligent systems. This long-term goals can only be achieved with the continuous efforts from the community to seriously investigate various issues on neural networks and related topics.

Modeling and Simulation in Engineering, Economics, and Management

Author : Kurt J. Engemann
Publisher : Springer
ISBN 13 : 3642304338
Total Pages : 291 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Modeling and Simulation in Engineering, Economics, and Management by : Kurt J. Engemann

Download or read book Modeling and Simulation in Engineering, Economics, and Management written by Kurt J. Engemann and published by Springer. This book was released on 2012-06-02 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics, and Management, MS 2012, held in New Rochelle, NY, USA, in May/June 2012. The event was co-organized by the AMSE Association and Iona College. The 27 full papers in this book were carefully reviewed and selected from 78 submissions. In addition to these papers a summary of the plenary presentation given by Ronald R. Yager is also included. The book mainly focuses on the field of intelligent systems and its application to economics and business administration. Some papers have a stronger orientation towards modeling and simulation in these fields.

Least Squares Support Vector Machines

Author : Johan A. K. Suykens
Publisher : World Scientific
ISBN 13 : 9789812381514
Total Pages : 318 pages
Book Rating : 4.3/5 (815 download)

DOWNLOAD NOW!

Book Synopsis Least Squares Support Vector Machines by : Johan A. K. Suykens

Download or read book Least Squares Support Vector Machines written by Johan A. K. Suykens and published by World Scientific. This book was released on 2002 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpretations from optimization theory. The authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis. Bayesian inference of LS-SVM models is discussed, together with methods for imposing spareness and employing robust statistics. The framework is further extended towards unsupervised learning by considering PCA analysis and its kernel version as a one-class modelling problem. This leads to new primal-dual support vector machine formulations for kernel PCA and kernel CCA analysis. Furthermore, LS-SVM formulations are given for recurrent networks and control. In general, support vector machines may pose heavy computational challenges for large data sets. For this purpose, a method of fixed size LS-SVM is proposed where the estimation is done in the primal space in relation to a Nystrom sampling with active selection of support vectors. The methods are illustrated with several examples.