• Quantitative Risk Management: Concepts, Techniques and Tools - Revised Edition (Princeton Series in Finance)

    This book provides the most comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management. Whether you are a financial risk analyst, actuary, regulator or student of quantitative finance, Quantitative Risk Management gives you the practical tools you need to solve real-world problems.Describing the latest advances in the field, Quantitative Risk Management covers the methods for market, credit and operational risk modelling. It places standard industry approaches on a more formal footing and explores key concepts such as loss distributions, risk measures and risk aggregation and allocation principles. The book's methodology draws on diverse quantitative disciplines, from mathematical finance and statistics to econometrics and actuarial mathematics. A primary theme throughout is the need to satisfactorily address extreme outcomes and the dependence of key risk drivers. Proven in the classroom, the book also covers advanced topics like credit derivatives.Fully revised and expanded to reflect developments in the field since the financial crisisFeatures shorter chapters to facilitate teaching and learningProvides enhanced coverage of Solvency II and insurance risk management and extended treatment of credit risk, including counterparty c...

    • Brand: imusti
    • ASIN: 0691166277

  • Quantitative Investment Portfolio Analytics In R: An Introduction To R For Modeling Portfolio Risk and Return

    R is a free, open source programming language that’s become a popular standard for financial and economic analysis. Quantitative Investment Portfolio Analytics In R is your guide to getting started with modeling portfolio risk and return in R. Even if you have no experience with the software, you’ll be fluent in R at a basic level after reading this short primer. The chapters provide step-by-step instructions for tapping into R’s powerful capabilities for portfolio analytics.

    • ASIN: 1987583515

  • Quantitative Risk Management, + Website: A Practical Guide to Financial Risk

    State of the art risk management techniques and practices—supplemented with interactive analytics All too often risk management books focus on risk measurement details without taking a broader view. Quantitative Risk Management delivers a synthesis of common sense management together with the cutting-edge tools of modern theory. This book presents a road map for tactical and strategic decision making designed to control risk and capitalize on opportunities. Most provocatively it challenges the conventional wisdom that "risk management" is or ever should be delegated to a separate department. Good managers have always known that managing risk is central to a financial firm and must be the responsibility of anyone who contributes to the profit of the firm. A guide to risk management for financial firms and managers in the post-crisis world, Quantitative Risk Management updates the techniques and tools used to measure and monitor risk. These are often mathematical and specialized, but the ideas are simple. The book starts with how we think about risk and uncertainty, then turns to a practical explanation of how risk is measured in today's complex financial markets. Covers everything from risk measures, probability, and regulatory issues to portfolio risk analytics and reporting I...

    • Brand: Brand: Wiley
    • ASIN: 1118026586

  • Market Risk Analysis, Quantitative Methods in Finance (Volume I)

    Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set. Starting from the basics, this book helps readers to take the first step towards becoming a properly qualified financial risk manager and asset manager, roles that are currently in huge demand. Accessible to intelligent readers with a moderate understanding of mathematics at high school level or to anyone with a university degree in mathematics, physics or engineering, no prior knowledge of finance is necessary. Instead the emphasis is on understanding ideas rather than on mathematical rigour, meaning that this book offers a fast-track introduction to financial analysis for readers with some quantitative background, highlighting those areas of mathematics that are particularly relevant to solving problems in financial risk management and asset management. Unique to this book is a focus on both continuous and discrete time finance so that Quantitative Methods in Finance is not only about the application of mathematics to finance; it also explains, in very pedagogical terms, how the continuous time and discrete time finance disciplines meet, providing a comprehensive, highly accessible guide which will provide readers with t...

    • ASIN: 0470998008

  • Readings in Certified Quantitative Risk Management (CQRM): Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting, ... Business Intelligence, and Decision Modeling

    Readings in Certified Quantitative Risk Management (CQRM) with advanced analytics applications in Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting, Portfolio Optimization, Data Analytics, Business Intelligence, and Decision Modeling

    • ASIN: 1515114406

  • Case Studies in Certified Quantitative Risk Management (CQRM): Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting, ... Business Intelligence, and Decision Modeling

    Case Studies applying Certified Quantitative Risk Management (CQRM) methods with advanced analytics applications in Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting, Portfolio Optimization, Data Analytics, Business Intelligence, and Decision Modeling

    • ASIN: 1515125548

  • A Quantitative Primer on Investments with R

    A Quantitative Exploration of Investments -- So You Can Be a Better Analyst! Quantitative analysts and financial engineers often skip taking an investments course. Many would-be analysts take a less quantitative investments course. This omission robs them of the fundamental knowledge needed to create better, more profitable models. A Quantitative Primer on Investments with R fills that gap by taking a quantitative approach to investments and analyzing real data using R, the open source statistical computing language. This illuminates the commonalities among investment theories and builds intuition. This text collects the author's two decades of experience in finance -- from positions at Goldman Sachs, Morgan Stanley's Equity Trading Lab, and hedge fund Long-Term Capital Management to the quantitative background of a PhD in statistics, teaching at some of the world's top universities, and presenting research at central banks, regulatory agencies, and trading firms. The explanations, questions, and exercises have been tested over a decade and enabled many students to enter the world of quantitative finance and succeed.Supplemental materials: For instructors and self-studying readers, slides and an exercise solution manual are available.

    • ASIN: 1732235600

  • Guidelines for Chemical Process Quantitative Risk Analysis

    Chemical process quantitative risk analysis (CPQRA) as applied to the CPI was first fully described in the first edition of this CCPS Guidelines book. This second edition is packed with information reflecting advances in this evolving methodology, and includes worked examples on a CD-ROM. CPQRA is used to identify incident scenarios and evaluate their risk by defining the probability of failure, the various consequences and the potential impact of those consequences. It is an invaluable methodology to evaluate these when qualitative analysis cannot provide adequate understanding and when more information is needed for risk management. This technique provides a means to evaluate acute hazards and alternative risk reduction strategies, and identify areas for cost-effective risk reduction. There are no simple answers when complex issues are concerned, but CPQRA2 offers a cogent, well-illustrated guide to applying these risk-analysis techniques, particularly to risk control studies. Special Details: Includes CD-ROM with example problems worked using Excel and Quattro Pro. For use with Windows 95, 98, and NT.

    • Brand: Brand: Wiley-AIChE
    • ASIN: 081690720X

  • Risk Analysis: A Quantitative Guide

    Risk Analysis concerns itself with the quantification of risk, the modeling of identified risks and how to make decisions from those models. Quantitative risk analysis (QRA) using Monte Carlo simulation offers a powerful and precise method for dealing with the uncertainty and variability of a problem. By providing the building blocks the author guides the reader through the necessary steps to produce an accurate risk analysis model and offers general and specific techniques to cope with most modeling problems. A wide range of solved problems is used to illustrate these techniques and how they can be used together to solve otherwise complex problems.

    • ASIN: 0470512849