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Author: Moorad Choudhry
Publisher: John Wiley & Sons
ISBN: 1118779738
Category : Business & Economics
Languages : en
Pages : 1332
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Book Description
The definitive and timeless guide to the principles of banking and finance, addressing and meeting the challenges of competition, strategy, regulation and the digital age. Moorad Choudhry Anthology compiles the best of renowned author Professor Moorad Choudhry's incisive writings on financial markets and bank risk management, together with new material that reflects the legislative changes in the post-crisis world of finance and the impact of digitization and global competition. Covering the developments and principles of banking from the 1950s to today, this unique book outlines the author's recommended best practices in all aspects of bank strategy, governance and risk management, including asset-liability management, liquidity risk management, capital planning, Treasury risk, and corporate framework, and describes a "vision of the future" with respect to a sustainable bank business model. You will gain the insight of a global authority on topics essential to retail, corporate, and investment/wholesale banking, including strategy, risk appetite, funding policies, regulatory requirements, valuation, and much more. The companion website is a goldmine for senior practitioners that provides templates that can applied in virtually any bank, including policy documents, pricing models, committee terms of reference, teaching aids and learning tools including PowerPoint slides and spreadsheet models. These facilitate a deeper understanding of the subject and the requirements of the senior executive, making this book an ideal companion for practitioners, graduate students and professional students alike. The intense demand for knowledge and expertise in asset-liability management, liquidity, and capital management has been driven by the regulatory challenges of Basel III, the European Union’s CRDIV, the Volcker Rule, Dodd-Frank Act, and a myriad of other new regulations. This book meets that need by providing you with a complete background and modern insight on every aspect of bank risk management. Re-engage with timeless principles of finance that apply in every market and which are the drivers of principles of risk management Learn strategic asset liability management practices that suit today's economic environment Adopt new best practices for liquidity models and choosing the appropriate liquidity risk management framework Examine optimum capital and funding model recommendations for corporate, retail, and investment/wholesale banks Dig deeper into derivatives risk management, balance sheet capital management, funding policy, and more Apply best-practice corporate governance frameworks that ensure a perpetual and viable robust balance sheet Adopt strategy formulation principles that reflect the long-term imperative of the banking business In the 21st century more than ever banks need to "re-learn" traditional risk management principles and apply them every day. Every bank in the world needs to be up to speed on these issues, and Anthology from Professor Moorad Choudhry is the answer to this new global policy response.
Author: Glenn M. Schultz
Publisher: John Wiley & Sons
ISBN: 1118944003
Category : Business & Economics
Languages : en
Pages : 421
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Book Description
A complete guide to investing in and managing a portfolio of mortgage- and asset-backed securities Mortgage- and asset-backed securities are not as complex as they might seem. In fact, all of the information, financial models, and software needed to successfully invest in and manage a portfolio of these securities are available to the investment professional through open source software. Investing in Mortgage and Asset-Backed Securities + Website shows you how to achieve this goal. The book draws entirely on publicly available data and open source software to construct a complete analytic framework for investing in these securities. The analytic models used throughout the book either exist in the quantlib library, as an R package, or are programmed in R and incorporated into the analytic framework used. Examines the valuation of fixed-income securities—metrics, valuation framework, and return analysis Covers residential mortgage-backed securities—security cash flow, mortgage dollar roll, adjustable rate mortgages, and private label MBS Discusses prepayment modeling and the valuation of mortgage credit Presents mortgage-backed securities valuation techniques—pass-through valuation and interest rate models Engaging and informative, this book skillfully shows you how to build, rather than buy, models and proprietary analytical platforms that will allow you to invest in mortgage- and asset-backed securities.
Author: Moorad Choudhry
Publisher: John Wiley & Sons
ISBN: 1118779738
Category : Business & Economics
Languages : en
Pages : 1332
Get Book Here
Book Description
The definitive and timeless guide to the principles of banking and finance, addressing and meeting the challenges of competition, strategy, regulation and the digital age. Moorad Choudhry Anthology compiles the best of renowned author Professor Moorad Choudhry's incisive writings on financial markets and bank risk management, together with new material that reflects the legislative changes in the post-crisis world of finance and the impact of digitization and global competition. Covering the developments and principles of banking from the 1950s to today, this unique book outlines the author's recommended best practices in all aspects of bank strategy, governance and risk management, including asset-liability management, liquidity risk management, capital planning, Treasury risk, and corporate framework, and describes a "vision of the future" with respect to a sustainable bank business model. You will gain the insight of a global authority on topics essential to retail, corporate, and investment/wholesale banking, including strategy, risk appetite, funding policies, regulatory requirements, valuation, and much more. The companion website is a goldmine for senior practitioners that provides templates that can applied in virtually any bank, including policy documents, pricing models, committee terms of reference, teaching aids and learning tools including PowerPoint slides and spreadsheet models. These facilitate a deeper understanding of the subject and the requirements of the senior executive, making this book an ideal companion for practitioners, graduate students and professional students alike. The intense demand for knowledge and expertise in asset-liability management, liquidity, and capital management has been driven by the regulatory challenges of Basel III, the European Union’s CRDIV, the Volcker Rule, Dodd-Frank Act, and a myriad of other new regulations. This book meets that need by providing you with a complete background and modern insight on every aspect of bank risk management. Re-engage with timeless principles of finance that apply in every market and which are the drivers of principles of risk management Learn strategic asset liability management practices that suit today's economic environment Adopt new best practices for liquidity models and choosing the appropriate liquidity risk management framework Examine optimum capital and funding model recommendations for corporate, retail, and investment/wholesale banks Dig deeper into derivatives risk management, balance sheet capital management, funding policy, and more Apply best-practice corporate governance frameworks that ensure a perpetual and viable robust balance sheet Adopt strategy formulation principles that reflect the long-term imperative of the banking business In the 21st century more than ever banks need to "re-learn" traditional risk management principles and apply them every day. Every bank in the world needs to be up to speed on these issues, and Anthology from Professor Moorad Choudhry is the answer to this new global policy response.
Author: Alexander J. McNeil
Publisher: Princeton University Press
ISBN: 1400866286
Category : Business & Economics
Languages : en
Pages : 721
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Book Description
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 crisis Features shorter chapters to facilitate teaching and learning Provides enhanced coverage of Solvency II and insurance risk management and extended treatment of credit risk, including counterparty credit risk and CDO pricing Includes a new chapter on market risk and new material on risk measures and risk aggregation
Author: Gergely Daróczi
Publisher: Packt Publishing Ltd
ISBN: 1783280948
Category : Computers
Languages : en
Pages : 253
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Book Description
This book is a tutorial guide for new users that aims to help you understand the basics of and become accomplished with the use of R for quantitative finance.If you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful content for both the R beginner and more experience users.
Author: Harry H. Panjer
Publisher: American Mathematical Soc.
ISBN: 0821800965
Category : Business & Economics
Languages : en
Pages : 143
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Book Description
These lecture notes from the 1985 AMS Short Course examine a variety of topics from the contemporary theory of actuarial mathematics. Recent clarification in the concepts of probability and statistics has laid a much richer foundation for this theory. Other factors that have shaped the theory include the continuing advances in computer science, the flourishing mathematical theory of risk, developments in stochastic processes, and recent growth in the theory of finance. In turn, actuarial concepts have been applied to other areas such as biostatistics, demography, economic, and reliability engineering.
Author: Giovanni Petris
Publisher: Springer Science & Business Media
ISBN: 0387772383
Category : Mathematics
Languages : en
Pages : 258
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Book Description
State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. Whenever possible it is shown how to compute estimates and forecasts in closed form; for more complex models, simulation techniques are used. A final chapter covers modern sequential Monte Carlo algorithms. The book illustrates all the fundamental steps needed to use dynamic linear models in practice, using R. Many detailed examples based on real data sets are provided to show how to set up a specific model, estimate its parameters, and use it for forecasting. All the code used in the book is available online. No prior knowledge of Bayesian statistics or time series analysis is required, although familiarity with basic statistics and R is assumed.
Author: Francis X. Diebold
Publisher: Princeton University Press
ISBN: 0691146802
Category : Business & Economics
Languages : en
Pages : 223
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Book Description
Understanding the dynamic evolution of the yield curve is critical to many financial tasks, including pricing financial assets and their derivatives, managing financial risk, allocating portfolios, structuring fiscal debt, conducting monetary policy, and valuing capital goods. Unfortunately, most yield curve models tend to be theoretically rigorous but empirically disappointing, or empirically successful but theoretically lacking. In this book, Francis Diebold and Glenn Rudebusch propose two extensions of the classic yield curve model of Nelson and Siegel that are both theoretically rigorous and empirically successful. The first extension is the dynamic Nelson-Siegel model (DNS), while the second takes this dynamic version and makes it arbitrage-free (AFNS). Diebold and Rudebusch show how these two models are just slightly different implementations of a single unified approach to dynamic yield curve modeling and forecasting. They emphasize both descriptive and efficient-markets aspects, they pay special attention to the links between the yield curve and macroeconomic fundamentals, and they show why DNS and AFNS are likely to remain of lasting appeal even as alternative arbitrage-free models are developed. Based on the Econometric and Tinbergen Institutes Lectures, Yield Curve Modeling and Forecasting contains essential tools with enhanced utility for academics, central banks, governments, and industry.
Author: Euan Sinclair
Publisher: John Wiley & Sons
ISBN: 0470181990
Category : Business & Economics
Languages : en
Pages : 228
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Book Description
In Volatility Trading, Sinclair offers you a quantitative model for measuring volatility in order to gain an edge in your everyday option trading endeavors. With an accessible, straightforward approach. He guides traders through the basics of option pricing, volatility measurement, hedging, money management, and trade evaluation. In addition, Sinclair explains the often-overlooked psychological aspects of trading, revealing both how behavioral psychology can create market conditions traders can take advantage of-and how it can lead them astray. Psychological biases, he asserts, are probably the drivers behind most sources of edge available to a volatility trader. Your goal, Sinclair explains, must be clearly defined and easily expressed-if you cannot explain it in one sentence, you probably aren't completely clear about what it is. The same applies to your statistical edge. If you do not know exactly what your edge is, you shouldn't trade. He shows how, in addition to the numerical evaluation of a potential trade, you should be able to identify and evaluate the reason why implied volatility is priced where it is, that is, why an edge exists. This means it is also necessary to be on top of recent news stories, sector trends, and behavioral psychology. Finally, Sinclair underscores why trades need to be sized correctly, which means that each trade is evaluated according to its projected return and risk in the overall context of your goals. As the author concludes, while we also need to pay attention to seemingly mundane things like having good execution software, a comfortable office, and getting enough sleep, it is knowledge that is the ultimate source of edge. So, all else being equal, the trader with the greater knowledge will be the more successful. This book, and its companion CD-ROM, will provide that knowledge. The CD-ROM includes spreadsheets designed to help you forecast volatility and evaluate trades together with simulation engines.
Author: Manfred Gilli
Publisher: Academic Press
ISBN: 0128150653
Category : Business & Economics
Languages : en
Pages : 638
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Book Description
Computationally-intensive tools play an increasingly important role in financial decisions. Many financial problems-ranging from asset allocation to risk management and from option pricing to model calibration-can be efficiently handled using modern computational techniques. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly so-called heuristics. This book treats quantitative analysis as an essentially computational discipline in which applications are put into software form and tested empirically. This revised edition includes two new chapters, a self-contained tutorial on implementing and using heuristics, and an explanation of software used for testing portfolio-selection models. Postgraduate students, researchers in programs on quantitative and computational finance, and practitioners in banks and other financial companies can benefit from this second edition of Numerical Methods and Optimization in Finance.
Author: Randall Pruim
Publisher: American Mathematical Soc.
ISBN: 1470428482
Category : Computers
Languages : en
Pages : 842
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Book Description
Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern statistics. Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics, presenting concepts and results from probability along the way. Hypothesis testing is introduced very early, and the motivation for several probability distributions comes from p-value computations. Pruim develops the students' practical statistical reasoning through explicit examples and through numerical and graphical summaries of data that allow intuitive inferences before introducing the formal machinery. The topics have been selected to reflect the current practice in statistics, where computation is an indispensible tool. In this vein, the statistical computing environment R is used throughout the text and is integral to the exposition. Attention is paid to developing students' mathematical and computational skills as well as their statistical reasoning. Linear models, such as regression and ANOVA, are treated with explicit reference to the underlying linear algebra, which is motivated geometrically. Foundations and Applications of Statistics discusses both the mathematical theory underlying statistics and practical applications that make it a powerful tool across disciplines. The book contains ample material for a two-semester course in undergraduate probability and statistics. A one-semester course based on the book will cover hypothesis testing and confidence intervals for the most common situations. In the second edition, the R code has been updated throughout to take advantage of new R packages and to illustrate better coding style. New sections have been added covering bootstrap methods, multinomial and multivariate normal distributions, the delta method, numerical methods for Bayesian inference, and nonlinear least squares. Also, the use of matrix algebra has been expanded, but remains optional, providing instructors with more options regarding the amount of linear algebra required.
