Data analysis and applications. 4, Financial data analysis and methods
tarafından
 
Makrides, Andreas (Lecturer in Mathematics and Statistics)

Başlık
Data analysis and applications. 4, Financial data analysis and methods

Yazar
Makrides, Andreas (Lecturer in Mathematics and Statistics)

ISBN
9781119721611
 
9781119721505

Yayın Bilgileri
London : ISTE, Ltd. ; Hoboken : Wiley, 2020.

Fiziksel Tanımlama
1 online resource (315 pages)

Seri
Big data, artificial intelligence and data analyst set ; v. 6
 
Big data, artificial intelligence and data analyst set ; v. 6.

Genel Not
8.2. Description of the system under maintenance and imperfect switch

İçerik
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- PART 1: Financial Data Analysis and Methods -- 1. Forecasting Methods in Extreme Scenarios and Advanced Data Analytics for Improved Risk Estimation -- 1.1. Introduction -- 1.2. The low price effect and correction -- 1.2.1. Percentage value at risk and low price correction -- 1.2.2. Expected Percentage Shortfall (EPS) and Low Price Correction -- 1.2.3. Adjusted Evaluation Measures -- 1.2.4. Backtesting and Method's Advantages -- 1.3. Application -- 1.3.1. The Alpha warrant -- 1.3.2. The ARTX stock
 
1.4. Conclusion -- 1.5. Acknowledgements -- 1.6. References -- 2. Credit Portfolio Risk Evaluation with Non-Gaussian One-factor Merton Models and its Application to CDO Pricing -- 2.1. Introduction -- 2.2. Model and assumptions -- 2.3. Asymptotic evaluation of credit risk measures -- 2.4. Data analysis -- 2.5. Conclusion -- 2.6. Acknowledgements -- 2.7. References -- 3. Towards an Improved Credit Scoring System with Alternative Data: the Greek Case -- 3.1. Introduction -- 3.2. Literature review: stages of credit scoring -- 3.3. Performance definition -- 3.4. Data description
 
3.4.1. Alternative data in credit scoring -- 3.4.2. Credit scoring data set -- 3.4.3. Data pre-processing -- 3.5. Models' comparison -- 3.6. Out-of-time and out-of-sample validation -- 3.7. Conclusion -- 3.8. References -- 4. EM Algorithm for Estimating the Parameters of the Multivariate Stable Distribution -- 4.1. Introduction -- 4.2. Estimators of maximum likelihood approach -- 4.3. Quadrature formulas -- 4.4. Computer modeling -- 4.5. Conclusion -- 4.6. References -- PART 2: Statistics and Stochastic Data Analysis and Methods -- 5. Methods for Assessing Critical States of Complex Systems
 
7. Generalizations of Poisson Process in the Modeling of Random Processes Related to Road Accidents -- 7.1. Introduction -- 7.2. Non-homogeneous Poisson process -- 7.3. Model of the road accident number in Poland -- 7.3.1. Estimation of model parameters -- 7.3.2. Anticipation of the accident number -- 7.4. Non-homogeneous compound Poisson process -- 7.5. Data analysis -- 7.6. Anticipation of the accident consequences -- 7.7. Conclusion -- 7.8. References -- 8. Dependability and Performance Analysis for a Two Unit Multi-state System with Imperfect Switch -- 8.1. Introduction

Notlar
John Wiley and Sons

Konu Terimleri
Quantitative research.
 
Regression analysis.
 
Forecasting.
 
Data mining.
 
Recherche quantitative.
 
Analyse de régression.
 
Prévision.
 
Exploration de données (Informatique)
 
Data mining
 
Forecasting
 
Quantitative research
 
Regression analysis

Yazar Ek Girişi
Makrides, Andreas (Lecturer in Mathematics and Statistics)
 
Karagrigoriou, Alex.
 
Skiadas, Christos H.

Elektronik Erişim
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119721611


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