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Quantitative Analysis and IBM® SPSS® Statistics: A Guide for Business and Finance (Statistics and Econometrics for Finance) / Abdulkader Aljandali

Public ISBD Titre : Quantitative Analysis and IBM® SPSS® Statistics: A Guide for Business and Finance (Statistics and Econometrics for Finance) Type de document : texte imprimé Auteurs : Abdulkader Aljandali, Auteur Editeur : Springer Année de publication : 2016 Collection : Statistics and Econometrics for Finance Importance : 184 p ISBN/ISSN/EAN : 978-3-319-45527-3 Langues : Anglais (eng) Index. décimale : 005.3 Programmes, logiciels, bureautique Résumé : This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum. Note de contenu : Getting Started Graphics and Introductory Statistical Analysis of Data Frequencies and Crosstabulations Coding, Missing Values, Conditional and Arithmetic Operations Hypothesis Tests Concerning Means Nonparametric Hypothesis Tests Bivariate Correlation and Regression Elementary Time Series Methods Other Useful Features of IBM SPSS Statistics Secondary Sources of Data for Business, Finance and Marketing Students Extrait : lire Quantitative Analysis and IBM® SPSS® Statistics: A Guide for Business and Finance (Statistics and Econometrics for Finance) [texte imprimé] / Abdulkader Aljandali, Auteur . - Springer, 2016 . - 184 p. - (Statistics and Econometrics for Finance) . ISBN : 978-3-319-45527-3 Langues : Anglais (eng) Index. décimale : 005.3 Programmes, logiciels, bureautique Résumé : This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum. Note de contenu : Getting Started Graphics and Introductory Statistical Analysis of Data Frequencies and Crosstabulations Coding, Missing Values, Conditional and Arithmetic Operations Hypothesis Tests Concerning Means Nonparametric Hypothesis Tests Bivariate Correlation and Regression Elementary Time Series Methods Other Useful Features of IBM SPSS Statistics Secondary Sources of Data for Business, Finance and Marketing Students Extrait : lire

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Housing Markets in Europe. A Macroeconomic Perspective / Olivier De Bandt

Public ISBD Titre : Housing Markets in Europe. A Macroeconomic Perspective Type de document : texte imprimé Auteurs : Olivier De Bandt, Auteur ; Thomas Knetsch, Auteur ; Juan Penalosa, Auteur ; Francesco Zollino, Auteur Editeur : Springer Année de publication : 2010 Importance : 1 online resource (xix, 406 pages) : illustrations ISBN/ISSN/EAN : 978-3-642-42855-5 Langues : Anglais (eng) Mots-clés : Real Estate  Real property  Europe  Economie de l'entreprise Index. décimale : 333.33 Economie immobilière Résumé : During the recession in the years 2008-2009, the most severe for mature economies in the post-war period, housing markets were often mentioned as having a special responsibility. The objective of this book is to shed light on the cyclical behaviour of the housing markets, its fundamental determinants in terms of supply and demand characteristics, and its relationship with the overall business cycle. The co-movements of house prices across countries are also considered, as well as the channel of transmission of house price changes to the rest of the economy. Particular attention is paid to the effects on private consumption, through possible wealth effects. The book is a compilation of original papers produced by economists and researchers from the four main national central banks in the euro area, also with the participation of leading academics Note de contenu : Introductory Lecture -- Housing in DSGE Models: Findings and New Directions -- Housing and the Business Cycles -- Housing and the Macroeconomy: The Italian Case -- Cyclical Relationships Between GDP and Housing Market in France: Facts and Factors at Play -- Does Housing Really Lead the Business Cycle in Spain? -- Housing Cycles in the Major Euro Area Countries -- Common Business and Housing Market Cyles in the Euro Area from a Multivariate Decomposition -- The International Transmission of House Price Shocks -- Macroeconomic Models of Housing -- The {u2019}Housing Bubble{u2019} and Financial Factors: Insights from a Structural Model of the French and Spanish Residential Markets -- Trend and Cycle Features in German Residential Investment Before and After Reunification -- User Costs of Housing when Households Face a Credit Constraint: Evidence for Germany -- Causes and Welfare Consequences of Real Estate Price Appreciation -- Wealth Effects -- Wealth Effects on Private Consumption: the French Case -- An Assessment of Housing and Financial Wealth Effects in Spain: Aggregate Evidence on Durable and Non-durable Consumption -- The Effects of Housing and Financial Wealth on Personal Consumption: Aggregate Evidence for Italian Households -- Housing and Portfolio Choices in France -- Housing, Economic Policy and Financial Stability -- House price Boom/Bust Cycles: Identification Issues and Macro-prudential Implications -- Impact of Fiscal Policy on Residential Investment in France. Extrait : lire Housing Markets in Europe. A Macroeconomic Perspective [texte imprimé] / Olivier De Bandt, Auteur ; Thomas Knetsch, Auteur ; Juan Penalosa, Auteur ; Francesco Zollino, Auteur . - [S.l.] : Springer, 2010 . - 1 online resource (xix, 406 pages) : illustrations. ISBN : 978-3-642-42855-5 Langues : Anglais (eng) Mots-clés : Real Estate  Real property  Europe  Economie de l'entreprise Index. décimale : 333.33 Economie immobilière Résumé : During the recession in the years 2008-2009, the most severe for mature economies in the post-war period, housing markets were often mentioned as having a special responsibility. The objective of this book is to shed light on the cyclical behaviour of the housing markets, its fundamental determinants in terms of supply and demand characteristics, and its relationship with the overall business cycle. The co-movements of house prices across countries are also considered, as well as the channel of transmission of house price changes to the rest of the economy. Particular attention is paid to the effects on private consumption, through possible wealth effects. The book is a compilation of original papers produced by economists and researchers from the four main national central banks in the euro area, also with the participation of leading academics Note de contenu : Introductory Lecture -- Housing in DSGE Models: Findings and New Directions -- Housing and the Business Cycles -- Housing and the Macroeconomy: The Italian Case -- Cyclical Relationships Between GDP and Housing Market in France: Facts and Factors at Play -- Does Housing Really Lead the Business Cycle in Spain? -- Housing Cycles in the Major Euro Area Countries -- Common Business and Housing Market Cyles in the Euro Area from a Multivariate Decomposition -- The International Transmission of House Price Shocks -- Macroeconomic Models of Housing -- The {u2019}Housing Bubble{u2019} and Financial Factors: Insights from a Structural Model of the French and Spanish Residential Markets -- Trend and Cycle Features in German Residential Investment Before and After Reunification -- User Costs of Housing when Households Face a Credit Constraint: Evidence for Germany -- Causes and Welfare Consequences of Real Estate Price Appreciation -- Wealth Effects -- Wealth Effects on Private Consumption: the French Case -- An Assessment of Housing and Financial Wealth Effects in Spain: Aggregate Evidence on Durable and Non-durable Consumption -- The Effects of Housing and Financial Wealth on Personal Consumption: Aggregate Evidence for Italian Households -- Housing and Portfolio Choices in France -- Housing, Economic Policy and Financial Stability -- House price Boom/Bust Cycles: Identification Issues and Macro-prudential Implications -- Impact of Fiscal Policy on Residential Investment in France. Extrait : lire

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The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie

Public ISBD Titre : The elements of statistical learning : data mining, inference, and prediction Type de document : texte imprimé Auteurs : Trevor Hastie, Auteur Mention d'édition : 2nd Editeur : Springer Année de publication : 2009 Collection : Springer series in statistics Importance : xxii, 745 pages ISBN/ISSN/EAN : 978-0-387-84857-0 Langues : Anglais (eng) Mots-clés : Supervised learning (Machine learning)  Electronic data processing  Statistics  Data mining  Biology -- Data processing. Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Résumé : During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics Note de contenu : 1. Introduction -- 2. Overview of supervised learning -- 3. Linear methods for regression -- 4. Linear methods for classification -- 5. Basis expansions and regularization -- 6. Kernel smoothing methods -- 7. Model assessment and selection -- 8. Model inference and averaging -- 9. Additive models, trees, and related methods -- 10. Boosting and additive trees -- 11. Neural networks -- 12. Support vector machines and flexible discriminants -- 13. Prototype methods and nearest-neighbors -- 14. Unsupervised learning -- 15. Random forests -- 16. Ensemble learning -- 17. Undirected graphical models -- 18. High-dimensional problems Extrait : https://www.amazon.fr/Elements-Statistical-Learning-Inference-Prediction/dp/0387848576/ref=sr_1_1?s=[...] The elements of statistical learning : data mining, inference, and prediction [texte imprimé] / Trevor Hastie, Auteur  . -  2nd . - Springer, 2009 . - xxii, 745 pages. - (Springer series in statistics) . ISBN : 978-0-387-84857-0 Langues : Anglais (eng) Mots-clés : Supervised learning (Machine learning)  Electronic data processing  Statistics  Data mining  Biology -- Data processing. Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Résumé : During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics Note de contenu : 1. Introduction -- 2. Overview of supervised learning -- 3. Linear methods for regression -- 4. Linear methods for classification -- 5. Basis expansions and regularization -- 6. Kernel smoothing methods -- 7. Model assessment and selection -- 8. Model inference and averaging -- 9. Additive models, trees, and related methods -- 10. Boosting and additive trees -- 11. Neural networks -- 12. Support vector machines and flexible discriminants -- 13. Prototype methods and nearest-neighbors -- 14. Unsupervised learning -- 15. Random forests -- 16. Ensemble learning -- 17. Undirected graphical models -- 18. High-dimensional problems Extrait : https://www.amazon.fr/Elements-Statistical-Learning-Inference-Prediction/dp/0387848576/ref=sr_1_1?s=[...]

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Introduction to law / Jaap Hage

Public ISBD Titre : Introduction to law Type de document : texte imprimé Auteurs : Jaap Hage, Auteur ; Antonia Waltermann, Auteur ; Bram Akkermans, Auteur Mention d'édition : 2nd Editeur : Springer Année de publication : 2017 Importance : 397 p. ISBN/ISSN/EAN : 978-3-319-86114-2 Langues : Anglais (eng) Catégories : Droit Index. décimale : 340 Le droit Introduction to law [texte imprimé] / Jaap Hage, Auteur ; Antonia Waltermann, Auteur ; Bram Akkermans, Auteur  . -  2nd . - [S.l.] : Springer, 2017 . - 397 p. ISBN : 978-3-319-86114-2 Langues : Anglais (eng) Catégories : Droit Index. décimale : 340 Le droit

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Mathematics for finance. An introduction to financial engineering / Marek Capinski

Public ISBD Titre : Mathematics for finance. An introduction to financial engineering Type de document : texte imprimé Auteurs : Marek Capinski, Auteur ; Tomasz Zastawniak, Auteur Mention d'édition : 2nd Editeur : Springer Année de publication : 2011 Collection : Springer Undergraduate Mathematics Series Importance : xiii, 336 pages ISBN/ISSN/EAN : 978-0-85729-081-6 Langues : Anglais (eng) Catégories : Financial statistics Mathematics Index. décimale : 510 Mathématiques, mathématiques appliquées à la gestion, aide à la décision Résumé : Assuming only basic knowledge of probability and calculus, this book presents three major areas of mathematical finance, namely Option pricing based on the no-arbitrage principle in discrete and continuous time setting, Markowitz portfolio optimisation and Capital Asset Pricing Model, and basic stochastic interest rate models in discrete setting Note de contenu : A simple market model -- Risk-free assets -- Portfolio management -- Forward and futures contracts -- Options: General properties -- Binomial model -- General discrete time models -- Continuous time model -- Interest rates -- Appendix -- Solutions. Mathematics for finance. An introduction to financial engineering [texte imprimé] / Marek Capinski, Auteur ; Tomasz Zastawniak, Auteur  . -  2nd . - Springer, 2011 . - xiii, 336 pages. - (Springer Undergraduate Mathematics Series) . ISBN : 978-0-85729-081-6 Langues : Anglais (eng) Catégories : Financial statistics Mathematics Index. décimale : 510 Mathématiques, mathématiques appliquées à la gestion, aide à la décision Résumé : Assuming only basic knowledge of probability and calculus, this book presents three major areas of mathematical finance, namely Option pricing based on the no-arbitrage principle in discrete and continuous time setting, Markowitz portfolio optimisation and Capital Asset Pricing Model, and basic stochastic interest rate models in discrete setting Note de contenu : A simple market model -- Risk-free assets -- Portfolio management -- Forward and futures contracts -- Options: General properties -- Binomial model -- General discrete time models -- Continuous time model -- Interest rates -- Appendix -- Solutions.

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Cryptofinance and Mechanisms of Exchange. The Making of Virtual Currency / Stéphane Goutte

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China-Focused Cases. Selected Winners of the CEIBS Global Case Contest / CEIBS Case Center

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