Building Financial Risk Management Applications With C
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Building Financial Risk Management Applications With C
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Author : Robert Brooks
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2013-01-11
Building Financial Risk Management Applications With C written by Robert Brooks and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-11 with C++ (Computer programming languages) categories.
There are numerous good books related to quantitative finance. There are also numerous good books related to programming in C++. The goal here is to bridge the gap between quantitative finance and C++. In many ways C++ has gotten both easier and harder over the past several years. We focus only on the easier techniques in C++. We do not attempt to provide state-of-the-art C++ programming. Rather we provide elementary techniques that are easy for the non-computer programming professional to understand. Specifically, we seek to aid the professional quantitative finance person in their quest to express their innovative ideas using elementary C++. As a consequence, this work should provide an aid to the professional computer programmer in their quest to understand quantitative finance.
Derivatives
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Author : CFA Institute
language : en
Publisher: John Wiley & Sons
Release Date : 2021-11-04
Derivatives written by CFA Institute and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-04 with Business & Economics categories.
The complete guide to derivatives, from experts working with CFA Institute Derivatives is the definitive guide to derivatives and derivative markets. Written by experts working with CFA Institute, this book is an authoritative reference for students and investment professionals interested in the role of derivatives within comprehensive portfolio management. General discussion of the types of derivatives and their characteristics gives way to detailed examination of each market and its contracts, including forwards, futures, options, and swaps, followed by a look at credit derivative markets and their instruments. The companion workbook (sold separately) provides problems and solutions that align with the text and allows students to test their understanding while facilitating deeper internalization of the material. Derivatives have become essential for effective financial risk management and for creating synthetic exposure to asset classes. This book builds a conceptual framework for grasping derivative fundamentals, with systematic coverage and thorough explanations. Readers will: Understand the different types of derivatives and their characteristics Delve into the various markets and their associated contracts Examine the role of derivatives in portfolio management Learn why derivatives are increasingly fundamental to risk management CFA Institute is the world's premier association for investment professionals, and the governing body for CFA® Program, CIPM® Program, CFA Institute ESG Investing Certificate, and Investment Foundations® Program. Those seeking a deeper understanding of the markets, mechanisms, and use of derivatives will value the level of expertise CFA Institute brings to the discussion, providing a clear, comprehensive resource for students and professionals alike. Whether used alone or in conjunction with the companion workbook, Derivatives offers a complete course in derivatives and their use in investment management.
Building Financial Derivatives Applications With C
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Author : Robert Brooks
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2000-03-30
Building Financial Derivatives Applications With C written by Robert Brooks and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-03-30 with Business & Economics categories.
Radical developments in financial management, spurred by improvements in computer technology, have created demand for people who can use modern financial techniques combined with computer skills such as C++. Dr. Brooks gives readers the ability to express derivative solutions in an attractive, user-friendly format, and the ability to develop a permanent software package containing them. His book explains in detail how to write C++ source code and at the same time explains derivative valuation problems and methods. Entry level as well as experienced financial professionals have already found that the ability to understand and write C++ code has greatly enhanced their careers. This is an important hands-on training resource for practitioners and a clearly presented textbook for graduate-level students in business and finance. Dr. Brooks combines object-oriented C++ programming with modern derivatives technology and provides numerous examples to illustrate complex derivative applications. He covers C++ within the text and the Borland C++Builder program, on which the book is based, in extensive appendices. His book combines basic C++ coding with fundamental finance problems, illustrates traditional techniques for solving more complicated problems, and develops the reader's ability to express complex mathematical solutions in the object-oriented framework of C++. It also reviews derivative solutions techniques and illustrates them with C++ code, reviews general approaches to valuing interest rate contingent claims, and focuses on practical ways to implement them. The result is a book that trains readers simultaneously in the substance of its field, financial derivatives, and the programming of solutions to problems in it.
C High Performance For Financial Systems
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Author : Ariel Silahian
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-29
C High Performance For Financial Systems written by Ariel Silahian and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Computers categories.
An in-depth guide covering system architecture, low-latency strategies, risk management, and machine learning for experienced programmers looking to enter the financial industry and build high-performance trading systems Key Features Get started with building financial trading systems Focus on scalability, architecture, and implementing low-latency network communication in C++ Optimize code and use parallel computing techniques for better performance Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionUnlock the secrets of the finance industry and dive into the world of high-performance trading systems with C++ High Performance for Financial Systems. Trading systems are the backbone of the financial world, and understanding how to build them for optimal performance is crucial for success. If you've ever dreamt of creating scalable and cutting-edge financial software, this guide is your key to success. A cornerstone of this book is its coverage of system design and architecture. The book starts by outlining the role of C++ in finance and trading. You'll learn the principles and methodologies behind building systems that can handle vast amounts of data, execute complex trading strategies with ease, and maintain the highest levels of reliability. Armed with this knowledge, you'll be equipped to tackle even the most challenging trading scenarios. In the fast-paced world of finance, every millisecond counts. This book delves into low-latency strategies that will enable your trading systems to react with lightning speed. You’ll also learn the art of reducing latency, optimizing code, and leveraging the latest hardware and software techniques to gain a competitive edge in the market. By the end of this book, you’ll be well-versed in architecting a financial trading system as well as advanced strategies and new industry trends.What you will learn Design architecture for scalable financial trading systems Understand strategies for low-latency trading and high-frequency trading Discover how to implement machine learning algorithms for financial data analysis Understand risk management techniques for financial trading systems Explore advanced topics in finance and trading, including machine learning for algorithmic trading and portfolio optimization Get up to speed with best practices for developing financial trading systems with C++ Who this book is for This book is for experienced C++ developers who want to enter the finance industry and learn how trading systems work. It is also suitable for quantitative analysts, financial engineers, and anyone interested in building scalable and robust trading systems. The book assumes familiarity with the C++ programming language, data structures, and algorithms. Additionally, readers should have a basic understanding of finance and trading concepts, such as market data, trading strategies, and risk management.
Alternative Investments
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Author : CFA Institute
language : en
Publisher: John Wiley & Sons
Release Date : 2021-11-24
Alternative Investments written by CFA Institute and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-24 with Business & Economics categories.
The complete guide to alternative investments, from experts working with CFA Institute Alternative Investments is the definitive guide to understanding non-traditional asset classes. Alternatives are a disparate group of investments that are distinguished from long-only, publicly traded investments in stocks, bonds, and cash (often referred to as traditional investments). Alternative investments include real estate, commodities, infrastructure, and other non-traditional investments such as private equity or debt and hedge funds. They are attractive to investors because of the potential for portfolio diversification resulting in a higher risk-adjusted return for the portfolio. Alternative Investments and its accompanying workbook (sold separately) lead students and investment professionals through the many characteristics of non-traditional assets, including: Narrow specialization of the investment managers Relatively low correlation of returns with those of traditional investments Less regulation and less transparency than traditional investments Limited historical risk and return data Unique legal and tax considerations Higher fees, often including performance or incentive fees Concentrated portfolios Restrictions on redemptions (i.e. “lockups” and “gates”) CFA Institute is the world's premier association for investment professionals, and the governing body for the CFA® Program, CIPM® Program, CFA Institute ESG Investing Certificate, and Investment Foundations® Program. Those seeking a deeper understanding of the markets, mechanisms, and use of alternatives will value the level of expertise CFA Institute brings to the discussion, providing a clear, comprehensive resource for students and professionals alike. Whether used alone or in conjunction with the companion workbook, Alternative Investments offers a complete course in alternative investments and their role in investment management.
Machine Learning For Financial Risk Management With Python
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Author : Abdullah Karasan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-12-07
Machine Learning For Financial Risk Management With Python written by Abdullah Karasan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Computers categories.
Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models. Author Abdullah Karasan helps you explore the theory behind financial risk modeling before diving into practical ways of employing ML models in modeling financial risk using Python. With this book, you will: Review classical time series applications and compare them with deep learning models Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning Improve market risk models (VaR and ES) using ML techniques and including liquidity dimension Develop a credit risk analysis using clustering and Bayesian approaches Capture different aspects of liquidity risk with a Gaussian mixture model and Copula model Use machine learning models for fraud detection Predict stock price crash and identify its determinants using machine learning models
Financial Risk Management
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Author : Jimmy Skoglund
language : en
Publisher: John Wiley & Sons
Release Date : 2015-09-08
Financial Risk Management written by Jimmy Skoglund and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-08 with Business & Economics categories.
A global banking risk management guide geared toward the practitioner Financial Risk Management presents an in-depth look at banking risk on a global scale, including comprehensive examination of the U.S. Comprehensive Capital Analysis and Review, and the European Banking Authority stress tests. Written by the leaders of global banking risk products and management at SAS, this book provides the most up-to-date information and expert insight into real risk management. The discussion begins with an overview of methods for computing and managing a variety of risk, then moves into a review of the economic foundation of modern risk management and the growing importance of model risk management. Market risk, portfolio credit risk, counterparty credit risk, liquidity risk, profitability analysis, stress testing, and others are dissected and examined, arming you with the strategies you need to construct a robust risk management system. The book takes readers through a journey from basic market risk analysis to major recent advances in all financial risk disciplines seen in the banking industry. The quantitative methodologies are developed with ample business case discussions and examples illustrating how they are used in practice. Chapters devoted to firmwide risk and stress testing cross reference the different methodologies developed for the specific risk areas and explain how they work together at firmwide level. Since risk regulations have driven a lot of the recent practices, the book also relates to the current global regulations in the financial risk areas. Risk management is one of the fastest growing segments of the banking industry, fueled by banks' fundamental intermediary role in the global economy and the industry's profit-driven increase in risk-seeking behavior. This book is the product of the authors' experience in developing and implementing risk analytics in banks around the globe, giving you a comprehensive, quantitative-oriented risk management guide specifically for the practitioner. Compute and manage market, credit, asset, and liability risk Perform macroeconomic stress testing and act on the results Get up to date on regulatory practices and model risk management Examine the structure and construction of financial risk systems Delve into funds transfer pricing, profitability analysis, and more Quantitative capability is increasing with lightning speed, both methodologically and technologically. Risk professionals must keep pace with the changes, and exploit every tool at their disposal. Financial Risk Management is the practitioner's guide to anticipating, mitigating, and preventing risk in the modern banking industry.
Practical Methods Of Financial Engineering And Risk Management
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Author : Rupak Chatterjee
language : en
Publisher: Apress
Release Date : 2014-09-26
Practical Methods Of Financial Engineering And Risk Management written by Rupak Chatterjee and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-26 with Business & Economics categories.
Risk control, capital allocation, and realistic derivative pricing and hedging are critical concerns for major financial institutions and individual traders alike. Events from the collapse of Lehman Brothers to the Greek sovereign debt crisis demonstrate the urgent and abiding need for statistical tools adequate to measure and anticipate the amplitude of potential swings in the financial markets—from ordinary stock price and interest rate moves, to defaults, to those increasingly frequent "rare events" fashionably called black swan events. Yet many on Wall Street continue to rely on standard models based on artificially simplified assumptions that can lead to systematic (and sometimes catastrophic) underestimation of real risks. In Practical Methods of Financial Engineering and Risk Management, Dr. Rupak Chatterjee— former director of the multi-asset quantitative research group at Citi—introduces finance professionals and advanced students to the latest concepts, tools, valuation techniques, and analytic measures being deployed by the more discerning and responsive Wall Street practitioners, on all operational scales from day trading to institutional strategy, to model and analyze more faithfully the real behavior and risk exposure of financial markets in the cold light of the post-2008 realities. Until one masters this modern skill set, one cannot allocate risk capital properly, price and hedge derivative securities realistically, or risk-manage positions from the multiple perspectives of market risk, credit risk, counterparty risk, and systemic risk. The book assumes a working knowledge of calculus, statistics, and Excel, but it teaches techniques from statistical analysis, probability, and stochastic processes sufficient to enable the reader to calibrate probability distributions and create the simulations that are used on Wall Street to valuate various financial instruments correctly, model the risk dimensions of trading strategies, and perform the numerically intensive analysis of risk measures required by various regulatory agencies.
Introduction To Derivative Securities Financial Markets And Risk Management An Third Edition
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Author : Robert A Jarrow
language : en
Publisher: World Scientific
Release Date : 2024-05-03
Introduction To Derivative Securities Financial Markets And Risk Management An Third Edition written by Robert A Jarrow and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-03 with Business & Economics categories.
The third edition updates the text in two significant ways. First, it updates the presentation to reflect changes that have occurred in financial markets since the publication of the 2nd edition. One such change is with respect to the over-the-counter interest rate derivatives markets and the abolishment of LIBOR as a reference rate. Second, it updates the theory to reflect new research related to asset price bubbles and the valuation of options. Asset price bubbles are a reality in financial markets and their impact on derivative pricing is essential to understand. This is the only introductory textbook that contains these insights on asset price bubbles and options.
Financial Risk Forecasting
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Author : Jon Danielsson
language : en
Publisher: John Wiley & Sons
Release Date : 2011-04-20
Financial Risk Forecasting written by Jon Danielsson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-20 with Business & Economics categories.
Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use – that risk is exogenous – and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing. The book is accompanied by a website - www.financialriskforecasting.com – which features downloadable code as used in the book.