Quantitative Modeling of Derivative Securities

Quantitative Modeling of Derivative Securities
Author: Peter Laurence
Publisher: Routledge
Total Pages: 336
Release: 2017-11-22
Genre: Mathematics
ISBN: 1351420461

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Quantitative Modeling of Derivative Securities demonstrates how to take the basic ideas of arbitrage theory and apply them - in a very concrete way - to the design and analysis of financial products. Based primarily (but not exclusively) on the analysis of derivatives, the book emphasizes relative-value and hedging ideas applied to different financial instruments. Using a ""financial engineering approach,"" the theory is developed progressively, focusing on specific aspects of pricing and hedging and with problems that the technical analyst or trader has to consider in practice. More than just an introductory text, the reader who has mastered the contents of this one book will have breached the gap separating the novice from the technical and research literature.

Quantitative Modeling of Derivative Securities

Quantitative Modeling of Derivative Securities
Author: Peter Laurence
Publisher: CRC Press
Total Pages: 335
Release: 2017-11-22
Genre: Mathematics
ISBN: 135142047X

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Quantitative Modeling of Derivative Securities demonstrates how to take the basic ideas of arbitrage theory and apply them - in a very concrete way - to the design and analysis of financial products. Based primarily (but not exclusively) on the analysis of derivatives, the book emphasizes relative-value and hedging ideas applied to different financial instruments. Using a ""financial engineering approach,"" the theory is developed progressively, focusing on specific aspects of pricing and hedging and with problems that the technical analyst or trader has to consider in practice. More than just an introductory text, the reader who has mastered the contents of this one book will have breached the gap separating the novice from the technical and research literature.

Implementing Models in Quantitative Finance: Methods and Cases

Implementing Models in Quantitative Finance: Methods and Cases
Author: Gianluca Fusai
Publisher: Springer Science & Business Media
Total Pages: 606
Release: 2007-12-20
Genre: Business & Economics
ISBN: 3540499598

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This book puts numerical methods in action for the purpose of solving practical problems in quantitative finance. The first part develops a toolkit in numerical methods for finance. The second part proposes twenty self-contained cases covering model simulation, asset pricing and hedging, risk management, statistical estimation and model calibration. Each case develops a detailed solution to a concrete problem arising in applied financial management and guides the user towards a computer implementation. The appendices contain "crash courses" in VBA and Matlab programming languages.

Mathematical Models of Financial Derivatives

Mathematical Models of Financial Derivatives
Author: Yue-Kuen Kwok
Publisher: Springer Science & Business Media
Total Pages: 541
Release: 2008-07-10
Genre: Mathematics
ISBN: 3540686886

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This second edition, now featuring new material, focuses on the valuation principles that are common to most derivative securities. A wide range of financial derivatives commonly traded in the equity and fixed income markets are analysed, emphasising aspects of pricing, hedging and practical usage. This second edition features additional emphasis on the discussion of Ito calculus and Girsanovs Theorem, and the risk-neutral measure and equivalent martingale pricing approach. A new chapter on credit risk models and pricing of credit derivatives has been added. Up-to-date research results are provided by many useful exercises.

Actuarial Finance

Actuarial Finance
Author: Mathieu Boudreault
Publisher: John Wiley & Sons
Total Pages: 592
Release: 2019-03-22
Genre: Mathematics
ISBN: 1119137012

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A new textbook offering a comprehensive introduction to models and techniques for the emerging field of actuarial Finance Drs. Boudreault and Renaud answer the need for a clear, application-oriented guide to the growing field of actuarial finance with this volume, which focuses on the mathematical models and techniques used in actuarial finance for the pricing and hedging of actuarial liabilities exposed to financial markets and other contingencies. With roots in modern financial mathematics, actuarial finance presents unique challenges due to the long-term nature of insurance liabilities, the presence of mortality or other contingencies and the structure and regulations of the insurance and pension markets. Motivated, designed and written for and by actuaries, this book puts actuarial applications at the forefront in addition to balancing mathematics and finance at an adequate level to actuarial undergraduates. While the classical theory of financial mathematics is discussed, the authors provide a thorough grounding in such crucial topics as recognizing embedded options in actuarial liabilities, adequately quantifying and pricing liabilities, and using derivatives and other assets to manage actuarial and financial risks. Actuarial applications are emphasized and illustrated with about 300 examples and 200 exercises. The book also comprises end-of-chapter point-form summaries to help the reader review the most important concepts. Additional topics and features include: Compares pricing in insurance and financial markets Discusses event-triggered derivatives such as weather, catastrophe and longevity derivatives and how they can be used for risk management; Introduces equity-linked insurance and annuities (EIAs, VAs), relates them to common derivatives and how to manage mortality for these products Introduces pricing and replication in incomplete markets and analyze the impact of market incompleteness on insurance and risk management; Presents immunization techniques alongside Greeks-based hedging; Covers in detail how to delta-gamma/rho/vega hedge a liability and how to rebalance periodically a hedging portfolio. This text will prove itself a firm foundation for undergraduate courses in financial mathematics or economics, actuarial mathematics or derivative markets. It is also highly applicable to current and future actuaries preparing for the exams or actuary professionals looking for a valuable addition to their reference shelf. As of 2019, the book covers significant parts of the Society of Actuaries’ Exams FM, IFM and QFI Core, and the Casualty Actuarial Society’s Exams 2 and 3F. It is assumed the reader has basic skills in calculus (differentiation and integration of functions), probability (at the level of the Society of Actuaries’ Exam P), interest theory (time value of money) and, ideally, a basic understanding of elementary stochastic processes such as random walks.

Quantitative Analysis, Derivatives Modeling, and Trading Strategies

Quantitative Analysis, Derivatives Modeling, and Trading Strategies
Author: Yi Tang
Publisher: World Scientific
Total Pages: 523
Release: 2007
Genre: Business & Economics
ISBN: 9812706658

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This book addresses selected practical applications and recent developments in the areas of quantitative financial modeling in derivatives instruments, some of which are from the authorsOCO own research and practice. While the primary scope of this book is the fixed-income market (with further focus on the interest rate market), many of the methodologies presented also apply to other financial markets, such as the credit, equity, and foreign exchange markets. This book, which assumes that the reader is familiar with the basics of stochastic calculus and derivatives modeling, is written from the point of view of financial engineers or practitioners, and, as such, it puts more emphasis on the practical applications of financial mathematics in the real market than the mathematics itself with precise (and tedious) technical conditions. It attempts to combine economic insights with mathematics and modeling so as to help the reader develop intuitions. In addition, the book addresses the counterparty credit risk modeling, pricing, and arbitraging strategies, which are relatively recent developments and are of increasing importance. It also discusses various trading structuring strategies and touches upon some popular credit/IR/FX hybrid products, such as PRDC, TARN, Snowballs, Snowbears, CCDS, credit extinguishers."

Modelling Financial Derivatives with MATHEMATICA ®

Modelling Financial Derivatives with MATHEMATICA ®
Author: William T. Shaw
Publisher: Cambridge University Press
Total Pages: 570
Release: 1998-12-10
Genre: Business & Economics
ISBN: 9780521592338

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CD plus book for financial modelling, requires Mathematica 3 or 2.2; runs on most platforms.

Derivative Securities

Derivative Securities
Author: Robert A. Jarrow
Publisher: South Western Educational Publishing
Total Pages: 738
Release: 1996
Genre: Business & Economics
ISBN:

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Accessible and intuitive, Derivative Securities offers advanced undergraduates, MBA students, and executives the theory and practical tools needed to price and hedge derivatives in the professional marketplace. Written by two of the foremost derivative pricing experts in the world, this text makes the theory and practice of pricing and hedging derivative securities accessible without watering down the material. Presentation is complete yet avoids advanced mathematics. Equal coverage is given to options pricing theory and futures pricing theory, and cutting-edge derivatives research is incorporated throughout. Derivatives pricing software is bound with each text.

Quantitative Analysis in Financial Markets

Quantitative Analysis in Financial Markets
Author: Marco Avellaneda
Publisher: World Scientific
Total Pages: 372
Release: 1999
Genre: Mathematics
ISBN: 9789810246938

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Contains lectures presented at the Courant Institute's Mathematical Finance Seminar.

An Introduction to the Mathematics of Financial Derivatives

An Introduction to the Mathematics of Financial Derivatives
Author: Salih N. Neftci
Publisher: Academic Press
Total Pages: 550
Release: 2000-05-19
Genre: Business & Economics
ISBN: 0125153929

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A step-by-step explanation of the mathematical models used to price derivatives. For this second edition, Salih Neftci has expanded one chapter, added six new ones, and inserted chapter-concluding exercises. He does not assume that the reader has a thorough mathematical background. His explanations of financial calculus seek to be simple and perceptive.