Book Description
Monte Carlo simulation has become an essential tool in the pricing of derivative securities and in risk management. These applications have, in turn, stimulated research into new Monte Carlo methods and renewed interest in some older techniques.
This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special topics: estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios.
The most important prerequisite is familiarity with the mathematical tools used to specify and analyze continuous-time models in finance, in particular the key ideas of stochastic calculus. Prior exposure to the basic principles of option pricing is useful but not essential.
The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation, and practitioners implementing models in industry.
Mathematical Reviews, 2004: "... this book is very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context."
Customer Reviews:
Review for Monte Carlo Methods... by P. Glasserman.......2007-07-16
The book is just right for a reader who is looking for state-of-the-art techniques in Monte-Carlo methods in general. The fact that the book is specific to financial systems does not limit the usability of the book in the manner it is written. There are a lots of useful references one can get out of this book.
The book is for advanced readers in the sense that it requires rigorous mathematical ability to understand all the concepts. It is by no means for a novice reader and requires background in computational mathematics.
Best financial engineering book on MC.......2007-06-29
This is like the bible of Monte Carlo methods in financing. Both a good read and a good reference book. Must have! for any quant on wall street.
good book on Monte Carlo in Finance.......2007-04-02
But it seems the author is a little focused on selling his ideas, but not a very subjective overview of all topics in M-C method in finance.
Excelent choice on finance Monte Carlo.......2007-03-08
Clear and sound theoretical background on applied Monte Carlo for finance.
Brilliant.......2006-12-26
Almost everything related to Monte Carlo in Financial Engineering is covered at just the right level of detail. Quite easy to read too.
Book Description
In the 2nd edition some sections of Part I are omitted for better readability, and a brand new chapter is devoted to volatility risk. As a consequence, hedging of plain-vanilla options and valuation of exotic options are no longer limited to the Black-Scholes framework with constant volatility.
The theme of stochastic volatility also reappears systematically in the second part of the book, which has been revised fundamentally, presenting much more detailed analyses of the various interest-rate models available: the authors' perspective throughout is that the choice of a model should be based on the reality of how a particular sector of the financial market functions, never neglecting to examine liquid primary and derivative assets and identifying the sources of trading risk associated. This long-awaited new edition of an outstandingly successful, well-established book, concentrating on the most pertinent and widely accepted modelling approaches, provides the reader with a text focused on practical rather than theoretical aspects of financial modelling.
Customer Reviews:
Excellent introductory book to financial math.......2006-11-03
This book takes you through the math of finance step-by-step, passing through very simple examples first and then slowly adding complexity to the models studied. It is written very clearly and the prerequisites to reading this book are only some basic notions of probabilities (sigma-fields, probability measures).
Sometimes, the problem with math books is that they are "dry" and contain only a succession of theorems and proofs. In this one, the authors make a point of explaining in detail how different theorems and models relate to each other, and make extensive comparisons between them so that you get a better feel for how they work in practice.
The book is primarily a math book and can be light on market specifics. Do not buy this book as a practical "howto" in derivatives trading.
At the Forefront of Modern Mathematical Finance.......2005-05-23
This advanced text provides an excellent account of the current state-of-the art of options pricing/hedging models and interest rate term structure models. The book is accessible to both advanced practitioners of mathematical finance as well as to pure researchers in the field.
The book is in written in a mathematical style and contains rigorous proofs of many results. However, the main focus of the text is to describe the frontier of knowledge in the subject. Each section contains copious references to the literature and is so current that several references are to working papers. Many sections detail open problems and other areas suitable for scholarly research.
In their second edition, the authors provide an extremely useful critique of each modeling paradigm that they investigate. They also provide evidence for their position in the form of literature references which instruct the reader as to the shortcomings/limitations of a particular model. This information should prove quite valuable to model practitioners and implementers.
The authors assume an advanced background from the field of stochastic analysis, although they do provide an appendix which summarizes key results needed from the field. For the stochastic calculus prerequisites, I recommend Rogers & Williams "Diffusions, Markov Processes and Martingales" volumes I and II. Suitable prerequisites are also covered by Karatzas and Shreve in "Brownian Motion and Stochastic Calculus" 2nd edition. A good foundation in arbitrage pricing theory is also needed. I recommend the nice treatment by Bjork in "Arbitrage Theory in Continuous Time" 2nd edition.
The book is divided into two parts. The first part deals with options pricing in equity markets. Chapter 1 sets premlinaries required for the arbitrage theoretic framework, while Chapter 2 has a very nice treatment of discrete time models and finite financial markets.
In Chapter 3, the authors develop the Black-Scholes model along with the Bachelier model using arbitrage techniques. The models are compared and used as benchmark continuous time models and form the basis for all subsequent analysis.
Chapter 4 provides a nice survey of techniques used to price/hedge options in foreign equity and currency markets. The authors assume familarity of the basic workings of foriegn markets.
Chapter 5 is a terrific chapter on valuing American-style options. The American call option is thoroughly studied and approximation techniques for the American put option are introduced. The explicit derivations of the formulas are referenced to the literature.
Chapter 6 provides an introduction to exotic options, although the authors vary their use of the term 'exotic' to meaning 'not a standard European-style or American-style' in this chapter to meaning 'no readily available liquid market' in Chapter 7. The descriptions are quite accessible and the basic properties of the options are described along with pricing formulas (assuming the Black-Scholes framework).
Chapter 7 provides as complete an accounting as I have ever seen of the generalizations of the Black-Scholes model and motivates this from the point of view of volatility surfaces. Many of the well-known models are studied in detail, such as CEV, local volatility, and mixture models. The strengths and weaknesses of each model are analyzed. The stochastic volatility models of Wiggins (via Orenstien-Uhlenbeck processes), Hull-White, and Heston are studied, as is the SABR model. The chapter wraps up with a study of the SIV models, describes how the stochastic volatility models can be obtained via limits of GARCH models and surveys Jump-diffusion processes and Levy processes.
The second part of the book is concerned with term structure models and interest rate derivatives. The authors are quite well-know for their many contributions to this study and their treatment is authoritative.
Martingales & Finance.......2003-04-12
I have used this book for two courses in my MSc degree in Financial Maths...well this book is hard to understand at first glance, but, once you are introduced with a good course on stochastic analysis and applied probability, this is an illuminating book...I particularly enjoyed the part on foreing equity derivatives and exotic derivatives.....Harmed with patience this is definitely the book by which you can effectively gain a sound a knowledge on modern mathematical finance theory....reading in conjunction with Bingham-Kiesel book, could help understanding the foundation of the subject.
yes, but ..........2000-03-17
I've been using this book on and off over the last year. At first I was very impressed with the level of detail in the mathematics, especially as it was the only book at the time focussing on risk-neutral methods and covering BGM. But I've become increasing disillusioned with it of late. It's difficult to explain, but although the whole book is written in traditional theorem-proof style, there are no real proofs! (I have a PhD in math and have done research for 10 years so I should know a little about proofs.) The only "proofs" provided are basically symbol shifting, but the heart of the math is strangely absent. This is especially strange given the Springer series in which it appears.
In short, if you want a catalogue of methods this book does the job, but if you want a deeper understanding try Lars Nielsens book.
excellent book for post-John-Hull readers.......1999-08-17
This book covers essentially everything needed for a serious financial math study. It captures the spirit of modern financial math. For people with math, physics or engineering background, when you feel comfortable woth John Hull's books, then this book is right one, and a must one.
Book Description
Risk Analysis A Quantitative Guide Risk and uncertainty are key features of most business and government problems and need to be understood for rational decisions to be made. This book concerns itself with the quantification of risk, the modelling of identified risks and how to make decisions from those models. Following on from the success of the previous edition of this clearly written and highly regarded book, this edition is extensively revised and updated and will provide an invaluable practical guide for beginners and experienced practitioners alike. 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 modelling 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. Reviews of the first edition "It identifies the various facets of risk analysis and provides a valuable reference to the concepts and techniques employed." Project, 1997 "It clearly explains many essential aspects of quantitative risk analysis . provides valuable techniques and sound professional advice." Journal of Behavioral Decision Making, Vol. 12, 1999 "The book offers a powerful method for dealing with risk and uncertainty." Zentralblatt für Mathematik, Band 908, 1999
Customer Reviews:
Risk Analysis.......2006-05-24
A very good book, but a bit too much mathematical detail in deriving formulas for probability distributions; could use better descriptions of when to use each probability distribution.
Best Book for Quantitative Risk Analysis.......2004-04-25
I believe that this book is the best of many Risk Analysis books. The book's structure, starting from fundamental topics and guiding to advanced topics, is excellent. So, I translated this book into Japanese! You will make the best use of the book with Excel add-in Monte Carlo simulation software like @Risk and Crystal ball that you can get its trial version from the vendor's site(free!). But, the value of this book is not decreased with its sophistitated notation even if you don't have such software. You can enjoy the logic of Quantitative Risk Analysis. Now, the author is preparing his original software. I hope it will be as valuable as this book.
1st edition more useful to a practitioner than the 2nd.......2003-10-18
Unlike in the first edition, the author seems to have tried his best to eliminate any reference to any simulation software in the second edition. Result: it now reads like any academic simulation text, only less. The first edition wasn't broke. Why fix it? Bring back the classic Vose!
Rigouros, clear and practical.......2003-04-20
This book gives a deep insight into the state of the art and recent developments of quantitative risk analysis using simulation methods. Describes topics such as second order risk analysis I never heard about before. I used the knowledge drawn from this book to write some technical papers (published on peer-reviewed journals and seminars proceedings). Specialized software, such as @-risk and crystal ball is not strictly needed to carry out the risk-analysis systems suggested by the author (but pretty advanced skills with excel or use of math softwares are required). The specific subject of the book is risk modelling by Monte Carlo Simulation and Bayesan analysis; it does not deal with fuzzy models or other uncertainty-propagation methods. I highly reccomend this book to anyone interested into the specific subject.
Risk Analysis: A Quantitative Guide.......2001-08-25
I purchased this book to learn to write simulation equations in excel but only found it was a manual ( type book ) with good information for a very expensive software I did not have....If you have RISK software, it is a great book to have... I returned my copy w/o scanning the entire book.
Book Description
Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. Many mathematical tools are needed to solve these models. The book presents various methods for computing the dynamics of general equilibrium models. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods. In order to apply these methods, fundamentals from numerical analysis are reviewed in detail. Part II discusses methods for solving heterogeneous-agent economies. In such economies, the distribution of the individual state variables is endogenous. This part of the book also serves as an introduction to the modern theory of distribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model. Through an accompanying home page to this book, computer codes to all applications can be downloaded.
Book Description
Efficient Methods for Valuing Interest Rate Derivatives provides an overview of the models that can be used for valuing and managing interest rate derivatives. Split into two parts, the first discusses and compares the traditional models, such as spot- and forward-rate models, while the second concentrates on the more recently developed Market models. Unlike most of his competitors, the author's focus is not only on the mathematics: Antoon Pelsser draws on his experience in industry to explore the practical issues, such as the implementation of models, and model selection.
Aimed at people with a solid quantitative background, this book will be of particular interest to risk managers, interest rate derivative traders, quantitative researchers, portfolio and fund managers, and students of mathematics and economics, but it will also prove invaluable to anyone looking for a good overview of interest rate derivative modelling.
Customer Reviews:
Finally... a road map to interest rate models!!!.......2003-08-07
I had a strong background in equity derivative models but found the leap to interest rate models difficult. What are the relationships between short rates, forward rates, and term structure? How do assumptions translate into restrictions on our ability to model the "stylized facts" of interest rates? How are assumption violations "corrected" by practitioners?
This book answers all of these questions in a straightforward yet rigorous manner. Explanations are supplemented with simple examples.
After reading this book, I had the roadmap and analytical context I needed to tackle implementation focused books like Brigo and Mercurio.
As a bonus, this book provides a very nice summary of major valuation tools. (Monte Carlo simulation of martingale processes, development of pricing PDE via Feynman-Kac, development of fundamental solutions, etc.)
Begin your BGM, Libor & Swap market model journey here........2003-03-02
If you want a concise, clearly written and excellently explained introduction to the cutting edge interest rate models used in dealing rooms today. Look no further. With an elementary stochastic calculus background from Rennie & Baxter, this book is very readable, even on a crowded train! For those who want more details & case studies, have Interest Rate Models by Brigo & Mercurio as a companion text. With useful tips on Libor & swap market model implementation, and a whole chapter devoted to convexity correction. One of the best texts on the subject I have read.
Average customer rating:
- Models for Investors in Real World Markets
|
Models for Investors in Real World Markets (Wiley Series in Probability and Statistics)
James R. Thompson ,
Edward E. Williams , and
M. Chapman, III Findlay
Manufacturer: Wiley-Interscience
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What Works on Wall Street
ASIN: 047135628X |
Book Description
* Considers neoclassical models in light of results that can go wrong with them to bring about better models.
* Questions the assumption that markets clear quickly.
* Offers a timely examination of the LTCM collapse.
* Written by a group of well-respected and highly qualified authors.
Customer Reviews:
Models for Investors in Real World Markets.......2002-11-27
When I looked at the cover of this book, I knew it was going to be contrarian. It shows volatility moving in the opposite direction to growth. Looking inside the book, I found the cover figure in Chapter 9 where it was described as volatility versus growth for 75 years of the Ibbotson Index starting in 1926. I looked at the Ibbotson table, and, indeed with the authors' eleven outlier years eliminated, the correlation is still negative (-.142). (With all 75 years included, I found the correlation to be (-.317).) At any rate, the Markowitzian notion of finding how large you can stand for volatility to be and then finding the portolio which maximizes growth is stood on its head.
The authors come up with an alternative to the Markowitz approach for portfolio selection based on something they call a simugram, which looks to be computer intensive.
Much of the book is spent on fundamental analysis, and indeed the authors do not seem favorably disposed to technical analysis. They dump on Black-Scholes and blame its use for the collapse of LTCM and Enron.
Some finance professionals will find much of this book annoying, since it attacks many standard concepts, such as the Efficient Market Hypothesis. And it seems to attack some of the basic tools in the finance tool kit, such as "risk neutral" evaluation.
One of the troubling things I found is that though the authors attack the canon of modern finance, they have only limited alternatives to recommend. They seem to recommend either doing deep fundamental analysis, using their complex simugram portfolio analysis, or putting one's money into an index fund. Most of us don't have the time to do the first or the software to do the second. To do the third really gives up on mathematical finance.
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Actuarial Models for Disability Insurance
Steven Haberman , and
E Pitacco
Manufacturer: Chapman & Hall/CRC
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Loss Models: From Data to Decisions, Second Edition
ASIN: 0849303893 |
Book Description
Disability insurance, long-term care insurance, and critical illness cover are becoming increasingly important in developed countries as the problems of demographic aging come to the fore. The private sector insurance industry is providing solutions to problems resulting from these pressures and other demands of better educated and more prosperous populations. Actuarial Models for Disability Insurance examines the actuarial structure of disability insurance, long-term care insurance, and critical illness cover, including problems encountered in the design and development of such insurances. Actuarial problems such as pricing and reserving are considered within the context of multiple state modeling, providing a vigorous and sound framework for analyzing personal insurances.
Average customer rating:
- Great text but....
- Mathematic for Economics
- Should be Required Reading
- Good but not comprehensive
- Excellent for its indended audience
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Mathematics for Economics and Finance: Methods and Modelling
Martin Anthony , and
Norman Biggs
Manufacturer: Cambridge University Press
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New Cambridge Statistical Tables
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Mathematics for Economists: An Introductory Textbook, Second Edition
ASIN: 0521559138 |
Book Description
Without expecting any particular background of the reader, this book covers graphs and relations, sequences and limits, partial derivatives, optimization, vectors, and matrix algebra. Throughout, the stress is firmly on how the mathematics relates to economics, and this is illustrated with copious examples and exercises that will foster depth of understanding.
Customer Reviews:
Great text but...........2007-10-04
I found this text an essential undergrad economics book. Economics is very quantitative in practice and therefore, should be well understood. If your math background is slightly weaker (whether undergrad or grad), this book eases you into the material. There are numerous mathematical errors in this book though, so beware! Maybe it is good practice to be able to cite the errors but you can not rely on each solution, unfortunately.
Mathematic for Economics .......2007-09-19
This book is fantastic, is used in the Cambridge Tripos and at LSE. very good if your are a fine mathematician.
Should be Required Reading.......2004-02-26
I'm not going to pretend to be a stellar mathematician. Calc 1 was a breeze but multivariable calc was way beyond me (so beyond me that I dropped it). However, calculus is, unfortunately, crucial for economics (my major), and getting some supplementary literature was the best choice I made. I don't think this is going to help anyone learn about auction theory or give anyone a substantial understanding of the subject of economics. This is more like a fusion of math text and economics literature, guiding the reader through several practical, undergraduate-level problems. In my opinion, this makes the mathematics involved in economics digestible.
Good but not comprehensive.......2002-06-09
This is a good textbook on explaining mathematics for economics gradually. However, it does not contain enough further details on certain topics such as optimization, game theory, linear programming. But it is worth reading if you are starting your undergraduate program in Economics.
Excellent for its indended audience.......2001-02-21
This book is great for undergraduate economics students who need to brush up on essential calculus and matrix algebra. It's absolutely packed with worked examples to get your problem solving skills up to speed. It's also a bargain in paperback. However, it is not a comprehensive mathematical economics textbook. I found it very useful up to the advanced undergraduate level, but for graduate level work in economics you will need something a bit more rigorous.
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|
Average-Cost Control of Stochastic Manufacturing Systems (Stochastic Modelling and Applied Probability)
Suresh P. Sethi ,
Han-Qin Zhang , and
Qing Zhang
Manufacturer: Springer
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Binding: Hardcover
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ASIN: 0387219471 |
Book Description
Most manufacturing systems are large, complex, and operate in an environment of uncertainty. It is common practice to manage such systems in a hierarchical fashion. This book articulates a new theory that shows that hierarchical decision making can in fact lead to a near optimization of system goals. The material in the book cuts across disciplines. It will appeal to graduate students and researchers in applied mathematics, operations management, operations research, and system and control theory.
Book Description
Agent-based Computational Economics (ACE) is a new discipline of economics, largely grounded on concepts like evolution, auto-organisation and emergence: it intensively uses computer simulations as well as artificial intelligence, mostly based on multi-agents systems. The purpose of this book is to give an up-to date view of the scientific production in the fields of Agent-based Computational Economics (mainly in Market Finance and Game Theory). Based on communications given at AE'2005 (Lille, USTL, France), this book offers a wide panorama of recent advances in ACE (both theoretical and methodological) that will interest academics as well as practitioners.
Books:
- Multi-Objective Optimization Using Evolutionary Algorithms
- Natural Capitalism: Creating the Next Industrial Revolution
- New Introduction to Multiple Time Series Analysis
- Out of Control: The New Biology of Machines, Social Systems and the Economic World
- Physical Chemistry
- Place Making
- Poverty and Development: Into the 21st Century
- Probability Methods for Cost Uncertainty Analysis : A Systems Engineering Perspective
- Profit for Life: How Capitalism Excels
- Project Financing and the International Financial Markets
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