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Financial Derivative and Energy Market Valuation

Financial Derivative and Energy Market Valuation Author Michael A. Mastro
ISBN-10 OCLC:961608170
Release 2013
Pages 649
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Financial Derivative and Energy Market Valuation has been writing in one form or another for most of life. You can find so many inspiration from Financial Derivative and Energy Market Valuation also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Financial Derivative and Energy Market Valuation book for free.



Financial Derivative and Energy Market Valuation

Financial Derivative and Energy Market Valuation Author Michael Mastro, PhD
ISBN-10 9781118501818
Release 2013-02-19
Pages 664
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A road map for implementing quantitative financial models Financial Derivative and Energy Market Valuation brings the application of financial models to a higher level by helping readers capture the true behavior of energy markets and related financial derivatives. The book provides readers with a range of statistical and quantitative techniques and demonstrates how to implement the presented concepts and methods in Matlab®. Featuring an unparalleled level of detail, this unique work provides the underlying theory and various advanced topics without requiring a prior high-level understanding of mathematics or finance. In addition to a self-contained treatment of applied topics such as modern Fourier-based analysis and affine transforms, Financial Derivative and Energy Market Valuation also: • Provides the derivation, numerical implementation, and documentation of the corresponding Matlab for each topic • Extends seminal works developed over the last four decades to derive and utilize present-day financial models • Shows how to use applied methods such as fast Fourier transforms to generate statistical distributions for option pricing • Includes all Matlab code for readers wishing to replicate the figures found throughout the book Thorough, practical, and easy to use, Financial Derivative and Energy Market Valuation is a first-rate guide for readers who want to learn how to use advanced numerical methods to implement and apply state-of-the-art financial models. The book is also ideal for graduate-level courses in quantitative finance, mathematical finance, and financial engineering.



Implementing Models in Quantitative Finance Methods and Cases

Implementing Models in Quantitative Finance  Methods and Cases Author Gianluca Fusai
ISBN-10 3540499598
Release 2007-12-20
Pages 607
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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.



Elementary Financial Derivatives

Elementary Financial Derivatives Author Jana Sacks
ISBN-10 9781119076759
Release 2015-10-12
Pages 296
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This book features an introductory approach to teaching and learning complex valuation techniques and emphasizes practical applications to ensure student engagement. Successfully classroom tested, readers benefit from the hands-on application of theoretical concepts as well as the step-by-step introduction to financial derivatives in an accessible and an appealing way. The author offers explanations of complex concepts in the simplest possible way in conjunction with practical applications including theoretical concepts with highlighted equations, homework problems, solved case studies, and Excel-based modules for valuation. While financial derivatives are often regarded as complex financial instruments, this book aims to educate future investors about these asset classes without delving too deeply into mathematical and/or physics methodology and theories. In addition to the essential topics of the derivatives market, this book includes sections on options, swaps, and financial engineering concepts applied primarily, but not exclusively, to the futures market. Chapter coverage includes: An Introduction to Derivative Instruments; Futures Fundamentals; Forward Rate Agreement; Currency Forward; Swaps Basics; Equity and Currency Swaps; Basic Swaps and Credit Default Swaps; Options Basics and Trading; Greeks; Volatility; and Exotics.



An Introduction to Financial Option Valuation

An Introduction to Financial Option Valuation Author Desmond Higham
ISBN-10 9781139457897
Release 2004-04-15
Pages
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This is a lively textbook providing a solid introduction to financial option valuation for undergraduate students armed with a working knowledge of a first year calculus. Written in a series of short chapters, its self-contained treatment gives equal weight to applied mathematics, stochastics and computational algorithms. No prior background in probability, statistics or numerical analysis is required. Detailed derivations of both the basic asset price model and the Black–Scholes equation are provided along with a presentation of appropriate computational techniques including binomial, finite differences and in particular, variance reduction techniques for the Monte Carlo method. Each chapter comes complete with accompanying stand-alone MATLAB code listing to illustrate a key idea. Furthermore, the author has made heavy use of figures and examples, and has included computations based on real stock market data.



Numerical Methods in Finance and Economics

Numerical Methods in Finance and Economics Author Paolo Brandimarte
ISBN-10 9781118625576
Release 2013-06-06
Pages 696
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A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB?--the powerful numerical computing environment--for financial applications. The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions. Among this book's most outstanding features is the integration of MATLAB?, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricing. This tutorial is useful in connecting theory with practice in the application of classical numerical methods and advanced methods, while illustrating underlying algorithmic concepts in concrete terms. Newly featured in the Second Edition: * In-depth treatment of Monte Carlo methods with due attention paid to variance reduction strategies * New appendix on AMPL in order to better illustrate the optimization models in Chapters 11 and 12 * New chapter on binomial and trinomial lattices * Additional treatment of partial differential equations with two space dimensions * Expanded treatment within the chapter on financial theory to provide a more thorough background for engineers not familiar with finance * New coverage of advanced optimization methods and applications later in the text Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition presents basic treatments and more specialized literature, and it also uses algebraic languages, such as AMPL, to connect the pencil-and-paper statement of an optimization model with its solution by a software library. Offering computational practice in both financial engineering and economics fields, this book equips practitioners with the necessary techniques to measure and manage risk.



Risk Takers

Risk Takers Author John E. Marthinsen
ISBN-10 0321542568
Release 2009
Pages 332
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In an approachable, non-technical manner, Risk Takers brings eight modern financial derivatives situations to life, fully exploring the context of each event and evaluating the outcomes. Primer on Derivatives; Employee Stock Options: What Every MBA Student Should Know; Roche Holding: The Company, Its Financial Strategy, and Bull Spread Warrants; Metallgesellschaft AG: Illusion of Profits and Losses; Reality of Cash Flows; Swaps That Shook an Industry: Procter & Gamble versus Bankers Trust; Orange County: The Largest Municipal Failure in U.S. History; Barings Bank PLC: Leeson's Lessons; Long Term Capital Mismanagement: “JM & The Arb Boys”; Amaranth Advisors LLC: Using Natural Gas Futures to Bet on the Weather. For all readers interested in financial derivatives, options, futures, and risk management.



Modeling and Forecasting Electricity Loads and Prices

Modeling and Forecasting Electricity Loads and Prices Author Rafal Weron
ISBN-10 9780470059999
Release 2007-01-30
Pages 192
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This book offers an in-depth and up-to-date review of different statistical tools that can be used to analyze and forecast the dynamics of two crucial for every energy company processes—electricity prices and loads. It provides coverage of seasonal decomposition, mean reversion, heavy-tailed distributions, exponential smoothing, spike preprocessing, autoregressive time series including models with exogenous variables and heteroskedastic (GARCH) components, regime-switching models, interval forecasts, jump-diffusion models, derivatives pricing and the market price of risk. Modeling and Forecasting Electricity Loads and Prices is packaged with a CD containing both the data and detailed examples of implementation of different techniques in Matlab, with additional examples in SAS. A reader can retrace all the intermediate steps of a practical implementation of a model and test his understanding of the method and correctness of the computer code using the same input data. The book will be of particular interest to the quants employed by the utilities, independent power generators and marketers, energy trading desks of the hedge funds and financial institutions, and the executives attending courses designed to help them to brush up on their technical skills. The text will be also of use to graduate students in electrical engineering, econometrics and finance wanting to get a grip on advanced statistical tools applied in this hot area. In fact, there are sixteen Case Studies in the book making it a self-contained tutorial to electricity load and price modeling and forecasting.



Mathematics of Derivative Securities

Mathematics of Derivative Securities Author Stanley R. Pliska
ISBN-10 0521584248
Release 1997-10-13
Pages 582
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During 1995 the Isaac Newton Institute for the Mathematical Sciences at Cambridge University hosted a six month research program on financial mathematics. During this period more than 300 scholars and financial practitioners attended to conduct research and to attend more than 150 research seminars. Many of the presented papers were on the subject of financial derivatives. The very best were selected to appear in this volume. They range from abstract financial theory to practical issues pertaining to the pricing and hedging of interest rate derivatives and exotic options in the market place. Hence this book will be of interest to both academic scholars and financial engineers.



Commodity Option Pricing

Commodity Option Pricing Author Iain J. Clark
ISBN-10 9781444362411
Release 2014-03-05
Pages 344
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Commodity Option Pricing: A Practitioner’s Guide covers commodity option pricing for quantitative analysts, traders or structurers in banks, hedge funds and commodity trading companies. Based on the author’s industry experience with commodity derivatives, this book provides a thorough and mathematical introduction to the various market conventions and models used in commodity option pricing. It introduces the various derivative products typically traded for commodities and describes how these models can be calibrated and used for pricing and risk management. The book has been developed with input from traders and examples using real world data, together with relevant up to date academic research. The book includes practical descriptions of market conventions and quote codes used in commodity markets alongside typical products seen in broker quotes and used in calibration. Also discussed are commodity models and their mathematical derivation and volatility surface modelling for traded commodity derivatives. Gold, silver and other precious metals are addressed, including gold forward and gold lease rates, as well as copper, aluminium and other base metals, crude oil and natural gas, refined energy and electricity. There are also sections on the products encountered in commodities such as crack spread and spark spread options and alternative commodities such as carbon emissions, weather derivatives, bandwidth and telecommunications trading, plastics and freight. Commodity Option Pricing is ideal for anyone working in commodities or aiming to make the transition into the area, as well as academics needing to familiarize themselves with the industry conventions of the commodity markets.



Python for Finance

Python for Finance Author Yves Hilpisch
ISBN-10 9781491945384
Release 2014-12-11
Pages 606
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The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies



Commodity Price Dynamics

Commodity Price Dynamics Author Craig Pirrong
ISBN-10 9781139501972
Release 2011-10-31
Pages 238
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Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.



Optimization Methods in Finance

Optimization Methods in Finance Author Gérard Cornuéjols
ISBN-10 9781107056749
Release 2018-08-09
Pages 347
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Full treatment, from model formulation to computational implementation, of optimization techniques that solve central problems in finance.



Novel Methods in Computational Finance

Novel Methods in Computational Finance Author Matthias Ehrhardt
ISBN-10 9783319612829
Release 2017-10-18
Pages 606
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This book discusses the state-of-the-art and open problems in computational finance. It presents a collection of research outcomes and reviews of the work from the STRIKE project, an FP7 Marie Curie Initial Training Network (ITN) project in which academic partners trained early-stage researchers in close cooperation with a broader range of associated partners, including from the private sector. The aim of the project was to arrive at a deeper understanding of complex (mostly nonlinear) financial models and to develop effective and robust numerical schemes for solving linear and nonlinear problems arising from the mathematical theory of pricing financial derivatives and related financial products. This was accomplished by means of financial modelling, mathematical analysis and numerical simulations, optimal control techniques and validation of models. In recent years the computational complexity of mathematical models employed in financial mathematics has witnessed tremendous growth. Advanced numerical techniques are now essential to the majority of present-day applications in the financial industry. Special attention is devoted to a uniform methodology for both testing the latest achievements and simultaneously educating young PhD students. Most of the mathematical codes are linked into a novel computational finance toolbox, which is provided in MATLAB and PYTHON with an open access license. The book offers a valuable guide for researchers in computational finance and related areas, e.g. energy markets, with an interest in industrial mathematics.



Modeling Derivatives Applications in Matlab C and Excel

Modeling Derivatives Applications in Matlab  C    and Excel Author Justin London
ISBN-10 0131962590
Release 2007
Pages 565
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Hundreds of financial institutions now market complex derivatives; thousands of financial and technical professionals need to model them accurately and effectively. This volume brings together proven, tested real-time models for each of todays leading modeling platforms to help professionals save months of development time, while improving the accuracy and reliability of the models they create.



Equity Valuation

Equity Valuation Author Jan Viebig
ISBN-10 9780470758809
Release 2008-04-30
Pages 438
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Equity Valuation: Models from the Leading Investment Banks is a clear and reader-friendly guide to how today’s leading investment banks analyze firms. Editors Jan Viebig and Thorsten Poddig bring together expertise from UBS, Morgan Stanley, DWS Investment GmbH and Credit Suisse, providing a unique analysis of leading equity valuation models, from the very individuals who use them. Filled with real world insights, practical examples and theoretical approaches, the book will examine the strengths and weaknesses of some of the leading valuation approaches, helping readers understand how analysts: · estimate cash flows · calculate discount rates · adjust for accounting distortions · take uncertainty into consideration Written for investment professionals, corporate managers and anyone interested in developing their understanding of this key area, Equity Valuation: Models from the Leading Investment Banks will arm readers with the latest thinking and depth of knowledge necessary to make the right decisions in their valuation methodologies.



Fixed Income Markets and Their Derivatives

Fixed Income Markets and Their Derivatives Author Suresh Sundaresan
ISBN-10 0080919332
Release 2009-03-30
Pages 456
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The third edition of this well-respected textbook continues the tradition of providing clear and concise explanations for fixed income securities, pricing, and markets. Fixed Income Markets and Their Derivatives matches well with fixed income securities courses. The book's organization emphasizes institutions in the first part, analytics in the second, selected segments of fixed income markets in the third, and fixed income derivatives in the fourth. This enables instructors to customize the material to suit their course structure and the mathematical ability of their students. New material on Credit Default Swaps, Collateralized Debt Obligations, and an intergrated discussion of the Credit Crisis have been added Online Resources for instructors on password protected website provides worked out examples for each chapter A detailed description of all key financial terms is provided in a glossary at the back of the book