Esta obra expone los aspectos fundamentales para abordar una adecuada gestión del riesgo operacional, y por lo tanto está destinada, principalmente, a las instituciones y profesionales que se ven inmersos en dicha gestión. Además, al tratarse de una obra completa, que aborda en forma progresiva, pero también con identidad propia, cada aspecto tratado, resulta de gran utilidad para todos los interesados en el riesgo operacional desde cualquier perspectiva. El contenido de este libro recoge la experiencia de reconocidos profesionales del sector financiero, pioneros y expertos en esta área, unida a la visión de académicos y otros agentes, tanto españoles como del Reino Unido, vinculados a la misma que desarrollan sus actividades en el ámbito de la consultoría, auditoría o supervisiónregulación. Su oportunidad, dada la reciente entrada en vigor de Basilea II, y la novedad que supone abordar en español un tema de la máxima importancia y actualidad, sobre el que no hay bibliografía de referencia en nuestro idioma, dotan a este libro de la máxima relevancia e interés. Índice PRESENTACIÓN Rector de la Universidad de Cantabria RELACIÓN DE AUTORES EDITORA PRÓLOGO JAVIER TORRES RIESCO. Santander INTRODUCCIÓN ANA FERNÁNDEZ-LAVIADA PRIMERA PARTE - CAPÍTULO 1: La gestión del riesgo operacional: una revisión de su regulación y de los avances en España ANA FERNÁNDEZ-LAVIADA Y FRANCISCO JAVIER MARTÍNEZ GARCÍA. Univ. de Cantabria - CAPÍTULO 2: La invención del riesgo operacional MICHAEL POWER. LSE - CAPÍTULO 3: El riesgo operacional en el gobierno corporativo JOSÉ ANTONIO ARCENEGUI RODRIGO Y VICENTE OBRERO CASTILLA. CajaSur SEGUNDA PARTE - CAPÍTULO 4: Marco de gestión del riesgo operacional JORDI GARCÍA RIBAS. BBVA - CAPÍTULO 5: La creación de un departamento de riesgo operacional VIRGINIA GONZÁLEZ SIERRA Y ESTÍBALIZ LÓPEZ FERNÁNDEZ. Banesto - CAPÍTULO 6: Tipología y codificación de los eventos de riesgo operacional MIGUEL ANDUIG ALDEA Y ANTONIO LÓPEZ ÁLVAREZ. Banco Sabadell - CAPÍTULO 7: Metodología para la evaluación cualitativa del riesgo operacional: la involucración de los directivos en el control - mitigación del riesgo operacional mediante la realización de los planes de acción JOSÉ MARTÍN VALLIRIAÍN. Caja Castilla-La Mancha - CAPÍTULO 8: Integración de los métodos cuantitativo y cualitativo XAVIER GIMENO COMA. Caixa Catalunya - CAPÍTULO 9: La importancia de las herramientas en la gestión práctica del riesgo operativo. La experiencia en un grupo financiero multinacional PUBLIO VÁZQUEZ ALONSO. Santander - CAPÍTULO 10: Indicadores de riesgo: base para el seguimiento y control del riesgo operacional JOSÉ PEDRO ARRANZ ÁLAMO Y MANUEL RODRÍGUEZ LÓPEZ. Caixa Galicia - CAPÍTULO 11: Mapa de riesgos: herramienta de identificación y gestión de riesgos MANUEL RODRÍGUEZ LÓPEZ Y JOSÉ PEDRO ARRANZ ÁLAMO. Caixa Galicia - CAPÍTULO 12: Valor en riesgo operacional CAROL ALEXANDER. ICMA Centre - CAPÍTULO 13: Impacto del riesgo operacional en los procesos de las entidades financieras CIPRIANO RIVERA BRAVO. CECA - CAPÍTULO 14: El entorno AMA: los datos y su tratamiento SANTIAGO CARRILLO MENÉNDEZ, MERCEDES MARHUENDA COLLADO Y ALBERTO SUÁREZ GONZÁLEZ. Risklab e Indra TERCERA PARTE - CAPÍTULO 15: La validación de los modelos avanzados en riesgo operacional Ma ÁNGELES NIETO GIMÉNEZ-MONTESINOS Y CARLOS CORCÓSTEGUI CORTINA. Banco de España - CAPÍTULO 16: La implementación de la directiva de capital europea en el Reino Unido ANDREW SHEEN. UK Financial Services Authority - CAPÍTULO 17: La visión del auditor interno sobre el riesgo operacional JOSÉ ANTONIO FERNÁNDEZ-MADRAZO, GABINO RODRÍGUEZ NAVAMUEL Y JOSÉ ANTONIO ROSICH PARTE. Caja Cantabria - CAPÍTULO 18: Visión y experiencia del consultor en la implementación de un sistema de gestión de riesgo operacional RAFAEL COSTERO FERNÁNDEZ. Ernst & Young - CAPÍTULO 19: Reflexiones e ideas desde el punto de vista del consultor ISMAEL MORENO ÁLVAREZ. Ernst & Young

This important edited volume is the first such book ever published on fuzzy cognitive maps (FCMs). Professor Michael Glykas has done an exceptional job in bringing together and editing its seventeen chapters. The volume appears nearly a quarter century after my original article “Fuzzy Cognitive Maps” appeared in the International Journal of Man-Machine Studies in 1986. The volume accordingly reflects many years of research effort in the development of FCM theory and applications—and portends many more decades of FCM research and applications to come. FCMs are fuzzy feedback models of causality. They combine aspects of fuzzy logic, neural networks, semantic networks, expert systems, and nonlinear dynamical systems. That rich structure endows FCMs with their own complexity and lets them apply to a wide range of problems in engineering and in the soft and hard sciences. Their partial edge connections allow a user to directly represent causality as a matter of degree and to learn new edge strengths from training data. Their directed graph structure allows forward or what-if inferencing. FCM cycles or feedback paths allow for complex nonlinear dynamics. Control of FCM nonlinear dynamics can in many cases let the user encode and decode concept patterns as fixed-point attractors or limit cycles or perhaps as more exotic dynamical equilibria. These global equilibrium patterns are often “hidden” in the nonlinear dynamics. The user will not likely see these global patterns by simply inspecting the local causal edges or nodes of large FCMs.

This edition of the World Bank has been revised and expanded by the Terminology Unit in the Languages Services Division of the World Bank in collaboration with the English, Spanish, and French Translation Sections. The Glossary is intended to assist the Bank's translators and interpreters, other Bank staff using French and Spanish in their work, and free-lance translator's and interpreters employed by the Bank. For this reason, the Glossary contains not only financial and economic terminology and terms relating to the Bank's procedures and practices, but also terms that frequently occur in Bank documents, and others for which the Bank has a preferred equivalent. Although many of these terms, relating to such fields as agriculture, education, energy, housing, law, technology, and transportation, could be found in other sources, they have been assembled here for ease of reference. A list of acronyms occurring frequently in Bank texts (the terms to which they refer being found in the Glossary) and a list of international, regional, and national organizations will be found at the end of the Glossary.

The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.

Safety and Reliability – Theory and Applications contains the contributions presented at the 27th European Safety and Reliability Conference (ESREL 2017, Portorož, Slovenia, June 18-22, 2017). The book covers a wide range of topics, including: • Accident and Incident modelling • Economic Analysis in Risk Management • Foundational Issues in Risk Assessment and Management • Human Factors and Human Reliability • Maintenance Modeling and Applications • Mathematical Methods in Reliability and Safety • Prognostics and System Health Management • Resilience Engineering • Risk Assessment • Risk Management • Simulation for Safety and Reliability Analysis • Structural Reliability • System Reliability, and • Uncertainty Analysis. Selected special sessions include contributions on: the Marie Skłodowska-Curie innovative training network in structural safety; risk approaches in insurance and fi nance sectors; dynamic reliability and probabilistic safety assessment; Bayesian and statistical methods, reliability data and testing; oganizational factors and safety culture; software reliability and safety; probabilistic methods applied to power systems; socio-technical-economic systems; advanced safety assessment methodologies: extended Probabilistic Safety Assessment; reliability; availability; maintainability and safety in railways: theory & practice; big data risk analysis and management, and model-based reliability and safety engineering. Safety and Reliability – Theory and Applications will be of interest to professionals and academics working in a wide range of industrial and governmental sectors including: Aeronautics and Aerospace, Automotive Engineering, Civil Engineering, Electrical and Electronic Engineering, Energy Production and Distribution, Environmental Engineering, Information Technology and Telecommunications, Critical Infrastructures, Insurance and Finance, Manufacturing, Marine Industry, Mechanical Engineering, Natural Hazards, Nuclear Engineering, Offshore Oil and Gas, Security and Protection, Transportation, and Policy Making.