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Título : Risk Analysis of Natural Hazards : Interdisciplinary Challenges and Integrated Solutions Tipo de documento: documento electrónico Autores: Paolo Gardoni ; SpringerLink (Online service) ; Colleen Murphy ; Rowell, Arden Editorial: Cham : Springer International Publishing Fecha de publicación: 2016 Otro editor: Imprint: Springer Colección: Risk, Governance and Society num. 19 Número de páginas: VI, 311 p. 45 illus., 25 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-319-22126-7 Idioma : Inglés (eng) Palabras clave: Public policy Philosophy Natural disasters International environmental law Quality control Reliability Industrial safety Economic Economics R & D/Technology Policy Control, Reliability, Safety and Risk Hazards Environmental Law of Technology Clasificación: 330 Economía en general Resumen: This volume investigates the interdisciplinary and cross-cutting challenges in the risk analysis of natural hazards. It brings together leading minds in engineering, science, philosophy, law, and the social sciences. Parts I and II of this volume explore risk assessment, first by providing an overview of the interdisciplinary interactions involved in the assessment of natural hazards, and then by exploring the particular impacts of climate change on natural hazard assessment. Part III discusses the theoretical frameworks for the evaluation of natural hazards. Finally, Parts IV and V address the risk management of natural hazards, providing first an overview of the interdisciplinary interactions underlying natural hazard management, and then exploring decision frameworks that can help decision makers integrate and respond to the complex relationships among natural events, the built environment, and human behavior Nota de contenido: Risk Assessment: An Interdisciplinary Perspective -- Future Challenges: Impact of Climate Change -- Risk Evaluation: Theoretical Frameworks -- Risk Management: Interdisciplinary Perspectives -- Risk Management: Decision Frameworks En línea: http://dx.doi.org/10.1007/978-3-319-22126-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=42151 Risk Analysis of Natural Hazards : Interdisciplinary Challenges and Integrated Solutions [documento electrónico] / Paolo Gardoni ; SpringerLink (Online service) ; Colleen Murphy ; Rowell, Arden . - Cham : Springer International Publishing : Imprint: Springer, 2016 . - VI, 311 p. 45 illus., 25 illus. in color : online resource. - (Risk, Governance and Society; 19) .
ISBN : 978-3-319-22126-7
Idioma : Inglés (eng)
Palabras clave: Public policy Philosophy Natural disasters International environmental law Quality control Reliability Industrial safety Economic Economics R & D/Technology Policy Control, Reliability, Safety and Risk Hazards Environmental Law of Technology Clasificación: 330 Economía en general Resumen: This volume investigates the interdisciplinary and cross-cutting challenges in the risk analysis of natural hazards. It brings together leading minds in engineering, science, philosophy, law, and the social sciences. Parts I and II of this volume explore risk assessment, first by providing an overview of the interdisciplinary interactions involved in the assessment of natural hazards, and then by exploring the particular impacts of climate change on natural hazard assessment. Part III discusses the theoretical frameworks for the evaluation of natural hazards. Finally, Parts IV and V address the risk management of natural hazards, providing first an overview of the interdisciplinary interactions underlying natural hazard management, and then exploring decision frameworks that can help decision makers integrate and respond to the complex relationships among natural events, the built environment, and human behavior Nota de contenido: Risk Assessment: An Interdisciplinary Perspective -- Future Challenges: Impact of Climate Change -- Risk Evaluation: Theoretical Frameworks -- Risk Management: Interdisciplinary Perspectives -- Risk Management: Decision Frameworks En línea: http://dx.doi.org/10.1007/978-3-319-22126-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=42151 Ejemplares
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Título : Finance and the Behavioral Prospect : Risk, Exuberance, and Abnormal Markets Tipo de documento: documento electrónico Autores: James Ming Chen ; SpringerLink (Online service) Editorial: Cham : Springer International Publishing Fecha de publicación: 2016 Otro editor: Imprint: Palgrave Macmillan Colección: Quantitative Perspectives on Behavioral Economics and Finance Número de páginas: XII, 343 p. 14 illus., 12 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-319-32711-2 Idioma : Inglés (eng) Palabras clave: Finance Risk management Capital market Behavioral economics Management Markets Behavioral/Experimental Economics Clasificación: 330 Economía en general Resumen: This book explains how investor behavior, from mental accounting to the combustible interplay of hope and fear, affects financial economics. The transformation of portfolio theory begins with the identification of anomalies. Gaps in perception and behavioral departures from rationality spur momentum, irrational exuberance, and speculative bubbles. Behavioral accounting undermines the rational premises of mathematical finance. Assets and portfolios are imbued with "affect." Positive and negative emotions warp investment decisions. Whether hedging against intertemporal changes in their ability to bear risk or climbing a psychological hierarchy of needs, investors arrange their portfolios and financial affairs according to emotions and perceptions. Risk aversion and life-cycle theories of consumption provide possible solutions to the equity premium puzzle, an iconic financial mystery. Prospect theory has questioned the cogency of the efficient capital markets hypothesis. Behavioral portfolio theory arises from a psychological account of security, potential, and aspiration Nota de contenido: 1 The Structure of a Behavioral Revolution -- 2 Mental Accounting, Emotional Hierarchies, and Behavioral Heuristics -- 3 Higher-Moment Capital Asset Pricing and Its Behavioral Implications -- 4 Tracking the Low-Volatility Anomaly Across Behavioral Space -- 5 The Intertemporal Capital Asset Pricing Model: Hedging Investment Risk Across Time -- 6 Risk Aversion -- 7 The Equity Risk Premium and the Equity Premium Puzzle -- 8 Prospect Theory -- 9 Specific Applications of Prospect Theory to Behavioral Finance -- 10 Beyond Hope and Fear: Behavioral Portfolio Theory -- 11 Behavioral Gaps Between Hypothetical Investment Returns and Actual Investor Returns -- 12 Irrational Exuberance: Momentum Crashes and Speculative Bubbles -- Conclusion: The Monster and the Sleeping Queen En línea: http://dx.doi.org/10.1007/978-3-319-32711-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=42239 Finance and the Behavioral Prospect : Risk, Exuberance, and Abnormal Markets [documento electrónico] / James Ming Chen ; SpringerLink (Online service) . - Cham : Springer International Publishing : Imprint: Palgrave Macmillan, 2016 . - XII, 343 p. 14 illus., 12 illus. in color : online resource. - (Quantitative Perspectives on Behavioral Economics and Finance) .
ISBN : 978-3-319-32711-2
Idioma : Inglés (eng)
Palabras clave: Finance Risk management Capital market Behavioral economics Management Markets Behavioral/Experimental Economics Clasificación: 330 Economía en general Resumen: This book explains how investor behavior, from mental accounting to the combustible interplay of hope and fear, affects financial economics. The transformation of portfolio theory begins with the identification of anomalies. Gaps in perception and behavioral departures from rationality spur momentum, irrational exuberance, and speculative bubbles. Behavioral accounting undermines the rational premises of mathematical finance. Assets and portfolios are imbued with "affect." Positive and negative emotions warp investment decisions. Whether hedging against intertemporal changes in their ability to bear risk or climbing a psychological hierarchy of needs, investors arrange their portfolios and financial affairs according to emotions and perceptions. Risk aversion and life-cycle theories of consumption provide possible solutions to the equity premium puzzle, an iconic financial mystery. Prospect theory has questioned the cogency of the efficient capital markets hypothesis. Behavioral portfolio theory arises from a psychological account of security, potential, and aspiration Nota de contenido: 1 The Structure of a Behavioral Revolution -- 2 Mental Accounting, Emotional Hierarchies, and Behavioral Heuristics -- 3 Higher-Moment Capital Asset Pricing and Its Behavioral Implications -- 4 Tracking the Low-Volatility Anomaly Across Behavioral Space -- 5 The Intertemporal Capital Asset Pricing Model: Hedging Investment Risk Across Time -- 6 Risk Aversion -- 7 The Equity Risk Premium and the Equity Premium Puzzle -- 8 Prospect Theory -- 9 Specific Applications of Prospect Theory to Behavioral Finance -- 10 Beyond Hope and Fear: Behavioral Portfolio Theory -- 11 Behavioral Gaps Between Hypothetical Investment Returns and Actual Investor Returns -- 12 Irrational Exuberance: Momentum Crashes and Speculative Bubbles -- Conclusion: The Monster and the Sleeping Queen En línea: http://dx.doi.org/10.1007/978-3-319-32711-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=42239 Ejemplares
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Título : Artificial Intelligence in Financial Markets : Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics Tipo de documento: documento electrónico Autores: Christian L. Dunis ; SpringerLink (Online service) ; Peter W. Middleton ; Andreas Karathanasopolous ; Theofilatos, Konstantinos Editorial: London : Palgrave Macmillan UK Fecha de publicación: 2016 Otro editor: Imprint: Palgrave Macmillan Colección: New Developments in Quantitative Trading and Investment Número de páginas: XV, 344 p. 49 illus., 17 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-137-48880-0 Idioma : Inglés (eng) Palabras clave: Finance Corporations Banks and banking Investment Securities Risk management Artificial intelligence Economics, Mathematical Corporate Investments Banking Management Quantitative Intelligence (incl. Robotics) Clasificación: 330 Economía en general Resumen: As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field. Nota de contenido: 1. A Review of Applications of Artificial Intelligence in Financial Domain -- SECTION I: Financial Forecasting and Trading -- 2. Trading the FTSE100 Index - 'Adaptive' Modelling and Optimisation Techniques -- 3. Modelling, Forecasting and Trading the Crack - A Sliding Window Approach to Training Neural Networks -- 4. GEPTrader: A new Standalone Tool for Constructing Trading Strategies with Gene Expression Programming -- SECTION II: ECONOMICS -- 5. Business Intelligence for Decision Making in Economics -- 6. An automated literature analysis on data mining applications to credit risk assessment -- SECTION III: CREDIT RISK ANALYSIS -- 7. Intelligent credit risk decision support: architecture and implementations -- 8. Artificial Intelligence for Islamic Sukuk Rating Predictions -- SECTION IV: PORTFOLIO MANAGEMENT, ANALYSIS AND OPTIMISATION -- 9. Portfolio selection as a multiperiod choice problem under uncertainty: an interation-based approach -- 10. Handling model risk in portfolio selection using a Multi-Objective Genetic Algorithm -- 11. Linear regression versus fuzzy linear regression - does it make a difference in the evaluation of the performance of mutual fund managers? En línea: http://dx.doi.org/10.1057/978-1-137-48880-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41978 Artificial Intelligence in Financial Markets : Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics [documento electrónico] / Christian L. Dunis ; SpringerLink (Online service) ; Peter W. Middleton ; Andreas Karathanasopolous ; Theofilatos, Konstantinos . - London : Palgrave Macmillan UK : Imprint: Palgrave Macmillan, 2016 . - XV, 344 p. 49 illus., 17 illus. in color : online resource. - (New Developments in Quantitative Trading and Investment) .
ISBN : 978-1-137-48880-0
Idioma : Inglés (eng)
Palabras clave: Finance Corporations Banks and banking Investment Securities Risk management Artificial intelligence Economics, Mathematical Corporate Investments Banking Management Quantitative Intelligence (incl. Robotics) Clasificación: 330 Economía en general Resumen: As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field. Nota de contenido: 1. A Review of Applications of Artificial Intelligence in Financial Domain -- SECTION I: Financial Forecasting and Trading -- 2. Trading the FTSE100 Index - 'Adaptive' Modelling and Optimisation Techniques -- 3. Modelling, Forecasting and Trading the Crack - A Sliding Window Approach to Training Neural Networks -- 4. GEPTrader: A new Standalone Tool for Constructing Trading Strategies with Gene Expression Programming -- SECTION II: ECONOMICS -- 5. Business Intelligence for Decision Making in Economics -- 6. An automated literature analysis on data mining applications to credit risk assessment -- SECTION III: CREDIT RISK ANALYSIS -- 7. Intelligent credit risk decision support: architecture and implementations -- 8. Artificial Intelligence for Islamic Sukuk Rating Predictions -- SECTION IV: PORTFOLIO MANAGEMENT, ANALYSIS AND OPTIMISATION -- 9. Portfolio selection as a multiperiod choice problem under uncertainty: an interation-based approach -- 10. Handling model risk in portfolio selection using a Multi-Objective Genetic Algorithm -- 11. Linear regression versus fuzzy linear regression - does it make a difference in the evaluation of the performance of mutual fund managers? En línea: http://dx.doi.org/10.1057/978-1-137-48880-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41978 Ejemplares
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Título : Aviation Risk and Safety Management : Methods and Applications in Aviation Organizations Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Roland Müller ; Andreas Wittmer ; Christopher Drax Editorial: Cham : Springer International Publishing Fecha de publicación: 2014 Otro editor: Imprint: Springer Colección: Management for Professionals, ISSN 2192-8096 Número de páginas: XIII, 213 p. 65 illus Il.: online resource ISBN/ISSN/DL: 978-3-319-02780-7 Idioma : Inglés (eng) Palabras clave: Business Organization Planning Operations research Decision making Law of the sea International law Quality control Reliability Industrial safety and Management Operation Research/Decision Theory Sea, Air Outer Space Control, Reliability, Safety Risk Clasificación: 658 Empresas. Organización de empresas Resumen: The International Civil Aviation Organization’s (ICAO) decision to require aviation organizations to adopt Safety Management Systems poses a major problem especially for small and medium sized aviation companies. The complexity of regulations overstrains the aviation stakeholders who seek to fully advantage from them but have no clear guidance. The aim of the book is to show the implementation of such a new system with pragmatic effort in order to gain a gradation for smaller operators. This approach should illustrate the leeway in order to adapt the processes and to show the interfaces between Corporate Risk Management and Safety Management. The book shows how to build a system with reasonable effort, appropriate to the size and complexity of the specific operator. It also gives inputs on the key aspects and how to effectively operate such a system with the various interfaces. Furthermore, the book highlights the importance of Corporate Risk Management independent of Safety Management Systems based on ICAO Nota de contenido: Introduction -- Theoretical Background of Risk and Safety Management -- Practical Implications of Risk and Safety Management -- Implementation and Optimization of Risk and Safety Management En línea: http://dx.doi.org/10.1007/978-3-319-02780-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36003 Aviation Risk and Safety Management : Methods and Applications in Aviation Organizations [documento electrónico] / SpringerLink (Online service) ; Roland Müller ; Andreas Wittmer ; Christopher Drax . - Cham : Springer International Publishing : Imprint: Springer, 2014 . - XIII, 213 p. 65 illus : online resource. - (Management for Professionals, ISSN 2192-8096) .
ISBN : 978-3-319-02780-7
Idioma : Inglés (eng)
Palabras clave: Business Organization Planning Operations research Decision making Law of the sea International law Quality control Reliability Industrial safety and Management Operation Research/Decision Theory Sea, Air Outer Space Control, Reliability, Safety Risk Clasificación: 658 Empresas. Organización de empresas Resumen: The International Civil Aviation Organization’s (ICAO) decision to require aviation organizations to adopt Safety Management Systems poses a major problem especially for small and medium sized aviation companies. The complexity of regulations overstrains the aviation stakeholders who seek to fully advantage from them but have no clear guidance. The aim of the book is to show the implementation of such a new system with pragmatic effort in order to gain a gradation for smaller operators. This approach should illustrate the leeway in order to adapt the processes and to show the interfaces between Corporate Risk Management and Safety Management. The book shows how to build a system with reasonable effort, appropriate to the size and complexity of the specific operator. It also gives inputs on the key aspects and how to effectively operate such a system with the various interfaces. Furthermore, the book highlights the importance of Corporate Risk Management independent of Safety Management Systems based on ICAO Nota de contenido: Introduction -- Theoretical Background of Risk and Safety Management -- Practical Implications of Risk and Safety Management -- Implementation and Optimization of Risk and Safety Management En línea: http://dx.doi.org/10.1007/978-3-319-02780-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36003 Ejemplares
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Título : Competition and risk in the banking sector after the global financial crisis : international evidence Tipo de documento: documento electrónico Autores: Román Castaño Castro, Autor ; María González Guitart, Autor ; Kevin Francisco Alonso Matalobos, Autor ; Nuria Suárez Suárez, Director de tesi Fecha de publicación: 2018 Número de páginas: 77 p. Il.: gráf., tablas Nota general: Máster Universitario en Instituciones y Mercados Financieros Idioma : Inglés (eng) Materias: Crisis financiera
Reforma bancaria
Riesgo bancarioPalabras clave: Global Financial Crisis; Bank Market Concentration; Competition; Risk Clasificación: 336.71 Bancos. Sistema bancario Resumen: This work approaches an analysis on the relationships between bank market structures, competition and risk. The empirical development of this study relies on an Ordinary Least Squares (OLS) methodology run over a sample of 22 countries and, on a subsample of the European countries that were mostly affected by the crisis: Portugal, Ireland, Italy, Greece and Spain. Our findings may suggest that concentration, competition and risk strike as surprising as many results obtained are not what many regulators and supervisors could expect. In order to avoid the worse of the crisis’ effect on the banking sector, governments took different approaches. Most of them attained restructuring and recapitalization process in different orders and ways. Furthermore, the crisis unfold a scenario were the banking sector shown itself as weak and with systematically risky. Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=45182 Competition and risk in the banking sector after the global financial crisis : international evidence [documento electrónico] / Román Castaño Castro, Autor ; María González Guitart, Autor ; Kevin Francisco Alonso Matalobos, Autor ; Nuria Suárez Suárez, Director de tesi . - 2018 . - 77 p. : gráf., tablas.
Máster Universitario en Instituciones y Mercados Financieros
Idioma : Inglés (eng)
Materias: Crisis financiera
Reforma bancaria
Riesgo bancarioPalabras clave: Global Financial Crisis; Bank Market Concentration; Competition; Risk Clasificación: 336.71 Bancos. Sistema bancario Resumen: This work approaches an analysis on the relationships between bank market structures, competition and risk. The empirical development of this study relies on an Ordinary Least Squares (OLS) methodology run over a sample of 22 countries and, on a subsample of the European countries that were mostly affected by the crisis: Portugal, Ireland, Italy, Greece and Spain. Our findings may suggest that concentration, competition and risk strike as surprising as many results obtained are not what many regulators and supervisors could expect. In order to avoid the worse of the crisis’ effect on the banking sector, governments took different approaches. Most of them attained restructuring and recapitalization process in different orders and ways. Furthermore, the crisis unfold a scenario were the banking sector shown itself as weak and with systematically risky. Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=45182 Ejemplares
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