Book Description
Designed to form the basis of an undergraduate course in mathematical finance, this book builds on mathematical models of bond and stock prices and covers three major areas of mathematical finance that all have an enormous impact on the way modern financial markets operate, namely: Black-Scholes’ arbitrage pricing of options and other derivative securities; Markowitz portfolio optimization theory and the Capital Asset Pricing Model; and interest rates and their term structure. Assuming only a basic knowledge of probability and calculus, it covers the material in a mathematically rigorous and complete way at a level accessible to second or third year undergraduate students. The text is interspersed with a multitude of worked examples and exercises, so it is ideal for self-study and suitable not only for students of mathematics, but also students of business management, finance and economics, and anyone with an interest in finance who needs to understand the underlying theory.
Customer Reviews:
Mathematics for Finance: A useful tool for the unskillled investor.......2007-03-19
I enjoyed reading the book and solving exercises in it. I have a Ph.D.in chemistry and my wife and I did our his and her's MBA in the 1990s. I wanted to learn more concepts in finance and needed an easy entry, something I could enjoy, and without spending much money. The book by Capinski came recommended from a friend who teaches Economics at Cal State. I can speak for myself: I feel reasonably informed and I feel the book gave me concepts I can use to handle my own portfolio.
In the future, this text should be offered with an interactive CD that contains Xls, matrix, calculus, and graphing capabilities so one (I) can visualize the outcomes of proposed solutions.
Incoherent.......2007-01-18
Anyone can scribble a bunch of equations on paper and call it a book. Without sufficient context, they are useless.
Insufficient and disappointing. Not even a good introductury text........2006-05-15
As a graduate student in Financial Engineering I have found this book useless.
The title of the book is "Mathematics for Finance", but can you find in it even an elementary introduction to the stochastic processes? No. Ditto for the Ito's lemma and many other topics. The derivation of the Black Scholes formula is just sketched, and the insight that you can get from it is very limited.
Nevertheless, I wouldn't mind these limitations if this book provided a clear introduction to more advanced topics: unfortunately this book is not good even in that. In comparison to other textbooks the theorems and definitions are convoluted and do not go straight to the point. For example, in Shreve's "Stochastic Calculus for Finance" or Baxter & Rennie "Financial Calculus" the Fundamental Theorem of Asset Pricing is stated in this way: "In a market with risk neutral probability there is no arbitrage". Can you find such a simple and explanatory definition in Capinski's book? Not at all. The theorem at page 83 (you can see it yourself by searching inside the book) basically says the same thing using 8 lines of text and little financial intuition.
The only good thing that I can say about this book is that all exercises are resolved.
Overall, "Mathematics for Finance" has been a big disappointment: it doesn't have either the mathematical depth of Shreve's books or the conciseness in explaining financial concepts of Baxter & Rennie.
Whatever is the level of education that you are pursuing, graduate or undergraduate, I don't see any point in using it.
Great Book for Undergrad Quants.......2005-08-29
Mathematics for Finance (An Introduction to Financial Engineering) is a book intended for undergrad students "IN MATHEMATICS" or other discipline with a relative high mathematical content.
The book assumes some basic notion of Calculus and Probability Theory and it is focused more on the mathematics than in its theory and application of Finance. If you are looking to dwell into the mathematics (Proof of Equations) this is a great book, but if you are looking for a book that is rich in theory and in application then you should consider "Option, Future and Other Derivatives" or "Quantitative Methods for Finance" as an alternative. Both books are "a most" for any finance student and are of great help. Now if you want an introduction into the mathematics behind Finance then this book is a perfect purchase.
Important to state that all the problems presented in this book are solved meaning that it is great for self teaching. Marek Capinsi and Thomas Zastawniak have done a great job on this book.
I gave it four stars, because it has room for impovement.
Joining the chorus.......2005-08-03
I can only echo the other reviewers. As far as I can tell this book has no serious competition. This is an excellent introduction to mathematical finance for those with a solid undergraduate level understanding of higher math but without graduate level exposure. I agree that it is ideal for self study as that is exactly what I am using it for. The price is right especially in contrast with its overpriced brethren. Five stars!
Book Description
Featuring new credit engineering tools,
Managing Bank Risk combines innovative analytic methods with traditional credit management processes. Professor Glantz provides print and electronic risk-measuring tools that ensure credits are made in accordance with bank policy and regulatory requirements, giving bankers with the data necessary for judging asset quality and value. The book's two sections, "New Approaches to Fundamental Analysis" and "Credit Administration," show readers ways to assimilate new tools, such as credit derivatives, cash flow computer modeling, distress prediction and workout, interactive risk rating models, and probabilistic default screening, with well-known controls. By following the guidelines of the Basel Committee on Banking Supervision,
Managing Bank Risk offers useful models, programs, and documents essential for creating a sound credit risk environment, credit granting processes, and appropriate administrative and monitoring controls.
Key Features
* Book includes features such as:
* Chapter-concluding questions
* Case studies illustrating all major tools
* EDF Credit Measure provided by KMV, the world's leading provide of market-based quantitative credit risk products
* Library of internet links directs readers to information on evolving credit disciplines, such as portfolio management, credit derivatives, risk rating, and financial analysis
* CD-ROM containing interactive models and a useful document collection
* Credit engineering tools covered include:
* Statistics and simulation driven forecasting
* Risk adjusted pricing
* Credit derivatives
* Ratios
* Cash flow computer modeling
* Distress prediction and workouts
* Capital allocation
* Credit exposure systems
* Computerized loan pricing
* Sustainable growth
* Interactive risk rating models
* Probabilistc default screening
* Accompanying CD includes:
* Interactive 10-point risk rating model
* Comprehensive cash flow model
* Trial version of CB Pro, a time-series forecasting program
* Stochastic net borrowed funds pricing model
* Asset based lending models, courtesy Federal Reserve Bank
* The Uniform Financial Institutions Rationg System (CAMELS)
* Two portfolio optimization software models
* a library of documents from the International Swap Dealers Association, the Basel Committee on Banking Supervision, and others
Customer Reviews:
Best book on the topic.......2004-04-15
This book trully deserves 5 stars. It is literally stuffed with very specific steps, processes and case studies. Moreover the book is easy to understand. It is very worth the money. I highly recommend this book to credit risk managers, financial analysts or to those readers who are involved in development of credit policies or procedures.
Extraordinary.......2003-01-14
Managing Bank Risk, An Introduction to Broad-Base Credit Engineering, takes on a Herculean task of capturing an extraordinarily extensive array of risk management subjects. Having spent several years in my prior career as a Corporate Banker to Fortune 500 Companies, I was familiar with some of the material within the book. However, I found that the most critical tools that I accumulated and have come to rely on have by and large been aggregated and explained clearly through both quantitative and qualitative approaches. Going beyond definitions and methodology, Managing Bank Risk lends focused perspective and context through the use of case studies. Having built various articulating sensitivity models over the course of my career, I appreciated the book's foundation of credit metrics, financial statement analysis with focus on cash flow analysis, proper asset-based lending approaches and detailed explanations of several forecasting techniques. From a pure banking perspective, Mr. Glantz commits significant time to portfolio management, hedging techniques, and understanding derivatives. Having seen only a small fraction of the statistical forecasting tools from business school that Mr. Glantz covers in the book, I found both the theory and practical software-based tools fascinating. Managing Bank Risk also evaluates and lucidly explains many corporate finance concepts and valuation tools such as Real Options and Pricing Models, which I have found important to have a controlling knowledge of in my career as an Investment Banker. Finally, but certainly not in summation, Managing Bank Risk reviews and identifies important Accounting and Corporate Structure insights and lessons that can be taken from recent corporate scandals. Given the sheer volume and quality of topics covered from the most fundamental to some of the most sophisticated, cutting-edge models available today, I would suggest this well-written and comprehensive book as a must-read for business school students or as a reference guide for finance professionals.
Incredible! Leading Resource to Understand Bank Risk.......2003-01-09
Glantz provides an astonishing and comprehensive overview of current banking practices. The book provides the necessary approaches for managing risk and uncovering discrepancies in today's environment of corporate shenanigans. The chapters on credit derivatives and pricing models are the most impressive of all writings on these subjects and are presented in a very clear and concise manner. Finally, the resources and risk rating system included on the CD is worth the price of the book alone.
BEST IN CLASS.......2003-01-02
This book is simply brilliant! Not only did I learn about new techniques for managing bank risk but found it similar to a novel that I never wanted to put down. I never take the time to write critiques but this book definitely warranted it.
Bank Risks.......2002-12-30
Managing Bank Risks is the definitive handbook on how bank risks should be managed. It presents new, leading edge techniques of risk management in a practical, user-friendly way. The accompanying CD provides underpinning for the risk manager to hone his skills. Morton Glantz has done a superb job, providing the reader with the latest risk management techniques under öne roof"
Book Description
Limitations in today's software packages for financial modeling system development can threaten the viability of any system--not to mention the firm using that system. Modeling Financial Markets is the first book to take financial professionals beyond those limitations to introduce safer, more sophisticated modeling methods. It contains dozens of techniques for financial modeling in code that minimize or avoid current software deficiencies, and addresses the crucial crossover stage in which prototypes are converted to fully coded models.
Customer Reviews:
Don't Judge a Book by Its Cover.......2006-03-10
I found this book informative and extremely accessible. It's incredulous that all these dorks keep insisting that the title of this book rings false for them. The content does provide a great deal more than the title alone suggests but one could see that by glancing at the content prior to buying the book. What I enjoyed most about it was the matter of fact, easy tone which conveyed so much so simply.
Hands On Programming.......2006-03-06
Lately I've been making heavy use of Amazon's Table of Content look up capability. I think that I didn't use that well enough when I purchased this book. More on that.
I like to buy books as reference material. Things should be easy to find. I bought this book when I was first getting into building Automated Trading Strategies. I had the impression that this would help me.
I no longer support that impression. The Table of Contents has no reflection whatsoever on the financial perspective of the book. If you are looking for inspiration on programming a particular financial capability, one is left with scanning the book sequentially from front to back. There is no detailed table of content. One learns very early in programming that random access may be a trifle harder, but in the end it is much faster. No random access here.
I get the impression the book includes a few financial snippets, but nothing that really builds on anything else. I could be wrong. My attention span was never long enough to persist in finding out stuff in the book.
On the bright side of things, if I was learning .VB and wanted to learn it in within the Financial Modelling world, it might be a good book to pick up.
But as other reviewers suggest, VB isn't a heavy hitter. I grew up with C/C++. Lately, I've been using C# substantially in my Financial Modelling.
So... I'd give this one two thumbs down due to it's lack of ability to be used as a reference. I'm sure there is good info in there somewhere, but how does one find it easily?
I'd instead pick up the O'Reilly book C# Essentials, your favorite Financial Book, and try things out that way.
A very misleading title.......2005-10-19
The book is a jumble of basic financial concepts and way-too-simple VB.NET syntax explanations, which makes me wonder who are its target readers? How many financial professionals will ever want and/or be able to master .NET? As a computer programmer in a financial orgnization, I definitely want to learn a bit more about financial modelling, but this is certainly NOT the book to start with. It's far better to get familiarized with the basics by reading a pure finance or trading book.
Btw, if you read the job ads, there aren't many vacancies for trading system programmers to write VB6/VB.NET code (or any at all). Most would ask for a master in C/C++ or Java or some obscure proprietary language/platform.
How to Program book - not Financial Modeling.......2005-07-22
This is a "How To Program" book which uses financial applications as samples. It is heavy on programming basics and scratches the surface of financial modeling. That's fine if that's what you expect from the book, but the title led me to believe that I'd learn modeling techniques. I expected a book that assumed proficiency in VB and dealt with moderate to advanced financial topics.
If you already know what a where clause is and are proficient at VB.Net, this is not for you. If you know nothing about VB and want to learn it using interesting examples, this is for you.
Programming for Financial Types.......2005-04-14
Sub-Title: Using Visual Basic.NET and Databases to Create Pricing, Trading, and Risk Management Models
This book is written at the delicate interface between financial analysis and computer programming. You could say that it's a book on financial modelling that spends a lot of time telling you how to program. Perhaps more accurately, it is a book on computer programming but written with the vocabulary and direction necessary to have the computer programs automatically select and evaluate investment opportunities.
The particular programming techniques described here use the Microsoft .NET environment, so the examples are very Microsoft centric. Still much of the material would be easily transferred over to other development environments if the reader desires.
Book Description
Summarizing market data developments, some inspired by statistical physics, this book explains how to better predict the actual behavior of financial markets with respect to asset allocation, derivative pricing and hedging, and risk control. Risk control and derivative pricing are major concerns to financial institutions. The need for adequate statistical tools to measure and anticipate amplitude of potential moves of financial markets is clearly expressed, in particular for derivative markets. Classical theories, however, are based on assumptions leading to systematic (sometimes dramatic) underestimation of risks.
Customer Reviews:
Five stars for the intended audience, two stars for the likely holder .......2006-10-16
Five stars for the intended audience, two stars for the likely holder (a theoretical approximation of the mathfin reader utility curve) give a three star average. Why? Practical utility skew is the operative third moment.
If you have no idea about what I just wrote, this book is not for you. If you do and it made you smile, keep reading.
In Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management authors Bouchaud and Potters place an additional veneer on their previous edition titled Theory of Financial Risks: From Statistical Physics to Risk Management, adding the sexy "Derivative Pricing" no doubt in a forgivable attempt to increase sales in this Googlfied world. But this is their failure. While the original edition was a fine, even respectable voice on bridging the knowledge of the intended audience of physicists-turned financial quant, this edition fails on the over covered subject of derivative pricing simply because it is not theoretical, but an empirical and technical review of historical data sets and assumptions and pricing techniques with critiques of the observed differences between theory and empirical results. Needless to say, this fails the smell test in physics, but in finance is as common as Shinola.
Sorry, but critiques of B-S assumptions and better curve fitting is technical, not theoretical. In other words, the theory of why third and fourth moments (skew and kurtosis) become operative and currently present arbitrage opportunities or risk management concerns is not adequately addressed, merely observed, expressed, and called attention to. Moreover, third and fourth moments are approached from a formulaic perspective intended primarily for risk managers and those seeking to make a buck (such as the authors themselves) and have only dangers emphasized. So formulas and expression yes, pure theory no.
Other reviewers have complained about a thematic Gauss-Levy versus Bachelier tone. Ho hum. For the day to day market maker (readers of Baird) such arguments pale in comparison to managing simply the delta of your book. For the physicist, the ghastly collection of noise and spikes that passes for a data set in finance will likely simply better be explained by long periods of madness followed by fleeting moments of clarity than any Procrustean attempt at better curve fitting informed for the empirical work of observing the data signals of a star's decay. Perhaps the only person Bouchaud and Potters's theoretical practical bridge tweaking would have assistance for would be the risk manager of the completely non-correlated short duration portion of the balance sheet of an international bank. Who also happened to be very powerful and have actual accurate real-time data and could implement these ideas. Scale? North of 8 billion before this is useful. Yep, in such a theta world Bachelier's technique rules. But we don't live in such a world yet, although risk managers everywhere delude themselves that they do, often armed with the likes of this book.
Let me hasten to add that Theory is not a bad thing, but its utility best serves the finmath community when it is clearly and explicitly so, without attempting techne and erte. This book is a forgivable beast with two backs, strongly skewed to a good critique of Theory and with fat tails of empiricism, and a bad attempt to be practical. This work therefore, again forgivably, is bound to disappoint practitioners. Joshi is your better bet.
Who is this book not for? Readers and users of Baird, Joshi and Hull and coding front-line quants and risk managers who live in a world of imperfect and delayed data sets will likely find this pointless academic obfuscation. Whom is this book for? I'm a finance guy, not a physicist, and so I read this book in a cyber book group with a theoretical physicist friend. He characterized the book as easy reading for him, but with little new to add that wasn't already known by the reasonably informed physicist turned finquant. His take was that it was a painfully obvious work, curiously passed off as original thinking when in reality it was simply a useful synthesis of common, though specialized knowledge. My take was it was tough sledding to get to obvious conclusions that anyone who has ever run an options book knows through painful experience or wise counsel. Elegantly expressed at a high level for a well-educated readership, but not exactly a holy grail. In other words, the juice wasn't worth the squeeze.
Longs and Shorts of the Theory of Financial Risk.......2006-06-10
The major achievement of the book is concise presentation of the latest discoveries of the authors and their co-authors (Cont, Matacz). The discoveries are so significant that will lead in some 20 years to a Nobel Prize in Economics. They are: non-uniqueness of the option's price; role of kurtosis (the fourth moment of the price distribution) for volatility smile formula; a simple "square-root" formula for the FRC (forward rate curve of interest rate) accompanied by a simple explanation of a market mechanism behind it; deep "psychological" explanation (via Langevin equation) of the exponents 3-5 in the power-type tails of the price distributions; explanation of why VaR is systematically underestimated by Black-Scholes theory. However, all these discoveries require different mathematics and so far the authors are in search for the correct way to present them together coherently. There are several loose ends: many non-Gaussian approximations (which likely came from JPB's early works in physics and still beloved by him) without practical tools to estimate them; in the interesting chapter on random matrixes missing is a "market" explanation of the meaning of the eigenstates which stand behind 10% of "non-random" eigenvalues; absence of a serious discussion about exotic options points out to a difficulty to extend authors' methods toward more general options (while the regular PDE approach taken by other authors, like Wilmott, allows such an extension almost naturally).
Fat tails and more.......2002-06-05
This text has a nice discussion of Levy distributions and (important!) discusses why the central limit theorem does not apply to the tails of a distribution in the limit of many independent random events. An exponential distribution is given as an example how the CLT fails. I was first happy to see a chapter devoted to portfolio selection, but the chapter (like most of the book) is very difficult to follow (I gave up on that chapter, unhappily, because it looked interesting). The notation could have been better (to be quite honest, the notation is horrible), and the arguments (many of which are original) could have been made sharper and clearer. For my taste, too many arguments in the text rely on uncontrolled approximations, with Gaussian results as special limiting cases. The chapters on options are original, introducing their idea of history-dependent strategies (however, to get a strategy other than the delta-hedge does not not require history-dependence, CAPM is an example), but the predictions too often go in the direction of showing how Gaussian returns can be retrieved in some limit (I find this the opposite of convincing!). For an introduction to options, the 1973 Black-Scholes paper is still the best (aside from the wrong claim that CAPM and the delta-hedge yield the same results). The argument in the introduction in favor of 'randomness' as the origin of macroscopic law left me as cold as a cucumber. On page 4 a density is called 'invariant' under change of variable whereas 'scalar' is the correct word (a common error in many texts on relativity). The explanation of Ito calculus is inventive but inadequate (see instead Baxter and Rennie for a correct and readable treatment, one the forms the basis for new research on local volatility). Also, utlility is once mentioned but never criticized. Had the book been more pedagogically written then one could well have used it as an introductory text, given the nice choice of topics discussed.
Reply to the previous reviewer.......2001-07-29
Unfortunately, but not surprisingly, the previous reviewer prefered to remain anonymous. Otherwise, we would happily have argued with him privately. But his review contains so many erroneous and obnoxious statements that we feel we have to reply publicly, at least on the most important points.
a) After spending a full chapter (2) on empirical data and faithful models to describe them, we only price options using...the Brownian motion, says our reviewer (not even the Black-Scholes model, adds he). Well, either the reviewer has only casually browsed through our book, or this is total bad faith and disinformation. After discussing a general option pricing formula, we indeed illustrate it first (4.3.3) with the Black-Scholes model, then with Bachelier's (Brownian) model which, as we explain, is actually a better model for short term options. But the rest of the chapter is entirely devoted to non-Gaussian effects: a theory of the smile, its relation with kurtosis and long-ranged correlation in the volatility, and comparison with actual market smiles (4.3.4), and more importantly, the hedging strategies and residual risk (4.4), alternative hedging strategies for Value-at-Risk control (4.4.6), etc. The emphasis on risk, absent in the Black-Scholes world, is our main message, and partly justifies the title of our book.
b) "There is no statistical physics" in our book, moans the reviewer. Our aim was not to draw phoney analogies, but to present this field in the spirit of statistical physics, with what we feel is an interesting balance between intuition and rigour. (Many physicists feel stranded when reading standard mathematical finance books, where data is scarce, and rigour hides the inadequacies of the models). However, there are several genuine inputs from statistical physics, e.g. data processing, approximations, simple agent based models (2.8-9), functional derivatives to obtain optimal hedges (4.4), saddle point estimates of the Value at Risk for complex portfolios (5.4) and finally, Random Matrices that the reviewer finds unduly complex -- perhaps only because new to him. However, this is contained in "starred" section, indicating that it can be skipped at first reading, as many more advanced sections.
Two more details. We indeed sometimes consider independent random variables, sometimes only uncorrelated, hopefully not confusing the two. If the reviewer spotted incorrect statements, we would be grateful to him if we can correct them in further editions. Second, our book is not meant to provide ready to implement recipes but to present a different way of thinking about finance. Nevertheless, many of the ideas have already been implemented and are used by several (open minded?) financial institutions.
Can do more harm than good.......2001-07-26
This book is a supposedly new approach to financial modeling from the viewpoint of "statistical physics". In fact, it is far from being that. First, there is little or no content really related to statistical physics in it. Apart from the fact that random variables and stochastic processes are also used in physics, the only feature in common between statistical physics and this book is some notational similarities and a lack of rigour which, justified in the case where it is supplemented by physical intuition, leads here to numerous mistakes and sloppy reasoning.
The title, while promising, is quite arrogant: not only there is no "theory of financial risks" in the book but many of the main issues of risk management are not even mentioned: Value at Risk receives less than a page at the end, while hedging of exotic options is not even an issue.
Also, while the first part of the book insists on choosing the correct distribution for price returns, the chapter on options exclusively gives computations for the case of ...Brownian motion (not even exponential Brownian motion)! One is left wondering whether these fancy models presented in the first part were worth mentioning?
Another point is the readership of this book: given the notational complexity of the book and the analogies with physics, only a PhD in theoretical physics can possibly find this book readable. In fact, a finance student will find it too light on the finance side while a math-minded student will find it too sloppy and imprecise.
The surprisingly low level of mathematical rigour - one confuses regularly "uncorrelated" with "independence"- is nevertheless accompanied by an incredibly sophisticated set of tools such as random matrix theory, which are exotic even for professional researchers. Perhaps it would be better to spend more time explaining the concept of stochastic volatility or nonstationarity than rocketing the reader into unknown grounds...
I come to the conclusion that the aim of the book is more to impress the reader about the technical sophistication of the authors than to teach anything in a clear manner.
Although OK as a bedtime reader, this book certainly does not contain anything one can practically implement: in fact the presentation is so imprecise that one is lost in the successive and uncontroled approximations, not knowing at the end what is the algorithm proposed to solve a given problem.
Average customer rating:
- Finally a modern approach
|
Economic Risk in Hydrocarbon Exploration
Ian Lerche , and
John A. MacKay
Manufacturer: Academic Press
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Decision Analysis for Petroleum Exploration, Second Edition
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Project Economics and Decision Analysis: Probabilistic Models (Project Economics and Decision Analysis)
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Project Economics and Decision Analysis: Volume 1: Deterministic Models
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Decisions Involving Uncertainty : An @RISK Tutorial for the Petroleum Industry
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International Exploration Economics, Risk, and Contract Analysis
ASIN: 0124441653 |
Book Description
Economic Risk in Hydrocarbon Exploration provides a total framework for assessing the uncertainties associated with exploration risk from beginning to end. Numerous examples with accompanying microcomputer algorithms illustrate how to quantitatively approach economic risk. The text compares detailed assumptions and models of economic risk, and presents numerical examples throughout to facilitate hands-on calculations using popular spread-sheet packages on personal computers.
Key Features
* Covers economic risk from exploration through production models
* Brings methods to a level where all can be done on a PC
* Analyzes numerical examples from the real world
* Removes "mystery" from how economics is done
* Addresses assumptions in models and shows how they influence projections
Customer Reviews:
Finally a modern approach.......2000-08-17
This text provides a rich combination of theory, practical explanation, and numerical examples. You even get some computer code! Monte Carlo techniques are at the heart of any complex risk/uncertainty estimation procedure, and the authors have embraced this as an extension to the old tools of the past, that were basically limited by number crunching power. A bonus is the chapter on maximizing economic value of a discovery, which is really beyond the challenges of exploration risking, going into the development and operations phases.
Average customer rating:
- State of the Art
- An excellent addition to any quants library
- A Book That Was Long Overdue
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Mathematical Methods for Foreign Exchange: A Financial Engineer's Approach
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The Economics of Exchange Rates
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FX Options and Structured Products (The Wiley Finance Series)
ASIN: 9810246153 |
Book Description
This comprehensive book presents a systematic and practically oriented approach to mathematical modeling in finance, particularly in the foreign exchange context. It describes all the relevant aspects of financial engineering, including derivative pricing, in detail. The book is self-contained, with the necessary mathematical, economic, and trading background carefully explained. In addition to the lucid treatment of the standard material, it describes many original results.
The book can be used both as a text for students of financial engineering, and as a basic reference for risk managers, traders, and academics.
Customer Reviews:
State of the Art.......2003-01-11
I own pretty much all of the books on quantitative finance
and this one holds a cherished place on my bookshelf.
Anybody either working as a quant or with aspirations to become one should dust off some space on their bookshelf as well.
Anybody who does serious research in finance in either academia or industry already knows that it is somewhat rare for top researchers to pen books of any length. Time is at a premium and the payoff to publishing journal articles or to finishing off code is typically much greater than it is for writing books.
This is what distinguishes this book from its competitors.
The author is well known in financial circles as one of a handful of quants who is capable of meaningfully contributing new results to this fascinating field. The book contains many results which cannot be found elsewhere in the public domain.
Although the book title suggests that the results apply only to
foreign exchange, it is straightforward to adapt the results to
equities, commodities, and many other underlyings.
Wall Street is a very secretive place and it is not easy to get a glimpse of the kind of things that consume a quant's time.
I suspect that the only reason that this book was able to come to light is due to the acquisition of Banker's Trust, the author's former employer. Banker's was well known to be a fertile training ground for the best derivative minds and this book should prove to be a lasting legacy to that view.
An excellent addition to any quants library.......2002-11-10
Alexander Lipton Lifschitz has brought his extensive
experience and years of research in the most diverse areas
of applied mathematics as well as his experience
in the financial industry to bear in authoring this
very interesting book.
The range of this book is impressive.
Although the author chose to focus on currency
options, his book really is a treatise on
a wide spectrum of problems and methodologies
which any quant wishing to tackle the
sophisticated world of option pricing at a high level
must master.
The author demonstrates his mastery of
the arsenal of the classic applied mathematician,
asymptotic analysis, self-similarity, Laplace
and Fourier transform, and uses these to give an
incisive analysis of both standard topics
such as American options and more exotic topics
such as options on one currency with
barriers on the other currency, passport
options (for which he was a pioneer in developping
pricing tools) , asian options and much much more.
No, this is not as easy a read as Willmott's
books. Willmott's books were and remain
an important contribution with their
quick and intuitive explanation of a variety
of instruments. Lipton- Lifschitz's
book is more challenging and the reader will
have to pull up his sleeves on
occasions where the author, while dealing
with a case analogous to one just treated
says " the details are left to the reader".
But let's face it, if you work on Wall Street
or nearby, you'll have to tackle those details
alone at some point and Lipton-Lifschitz
gives you all you need to know to do
pull this off.
And. last but not least, let's not forget the price. At less than 50$ thisbook is a real bargain and for a first
printing, unusually free of typos or others
errors.
I highly recommend you buy this book now before the publisher
doubles the price.
A Book That Was Long Overdue.......2002-05-14
Most of the books on mathematical finance fall in one of the two domains. Some books are written for people who are new to the field and, as such, do not go deeply into the mathematical details that are crucial for implementing these methods in practice. The more advanced books are usually written by academic mathematicians and sometimes suffer from poor readability and lack of awareness of relevant problems. What many people are looking for is a detailed and readable description of how to apply the latest mathematical methods to solving the problems appearing in day-to-day work of derivatives desks. Such books are few and far between: that is why Alex Lipton's manuscript was so welcome.
As a quant in one of the Wall Street investment banks, I found this book a very valuable resource. Though written on a fairly high level, this book remains a readable and consistent exposition of latest methods of foreign exchange modeling. I particularly appreciated that the author does not skip steps in his derivations and gives out all those little practical details that are so important to people planning to use these methods in their work. The range of topics covered is fairly wide, with main emphasis on derivative pricing. I found the two chapters on path-dependent options to be particularly interesting and extensive. Some of the results included in the book came out of author's original work at Deutsche Bank. I also had an impression that some of his latest work was not included in the book, which is a pity.
All in all, an excellent book. Well worth the price.
Average customer rating:
- @Risk Simulation for IT Project
- If you use @Risk and need to learn RA basics ...
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Practical Risk Assessment for Project Management
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Identifying and Managing Project Risk: Essential Tools for Failure-Proofing Your Project
-
Project Risk Management (Project Management)
ASIN: 047193979X |
Book Description
In the estimating, planning and management of any project, large or small, an understanding of the impact of risk is critical. This book explains how the growing number of people choosing to or forced to organise their work as projects can make realistic assessments of the uncertainty affecting costs, timescale and revenue, before commitments are made. A clear analysis of the role of uncertainty is combined in this concise and practical handbook with simple, cost-effective techniques for measuring and modelling the overall risk to a project’s budget and schedule. There is advice and help here for the whole project team, including project managers; bid managers; project sales professionals; planners; estimators; managers running a project-based business; and consultants and auditors advising a projects business. Drawn from the author’s extensive experience on projects ranging in scale from a few man-months to hundreds of man-years, the book will beelevant to anyone involved in a project-based business. Examples are presented as simple models, built in spreadsheets using the @Risk software package. No more than basic knowledge of Lotus 1-2-3
® or Excel
® will be required by the reader.
Customer Reviews:
@Risk Simulation for IT Project.......2004-12-14
This book makes sense to IT project or very samll, simple and non-complex construction projects when more sophiscated and expensive analysis tools could not be afforded. For large Oil & Gas or mega construction projects, this book is somewhat misleading. I bought the book hoping to find a model which will help me analyze project cost estimate / schedule uncertainty, therefore establish the contingency as well as risk response plan, I was quite disappointed paying over $100 for this 140-page booklet.
If you use @Risk and need to learn RA basics ..........2002-08-11
The ideal audience for this book is relatively narrow, consisting of readers who meet the following two criteria: (1) new to risk management techniques, and (2) using Palisade @Risk. In fact, this book comes close to being a tutorial on using @Risk, which is a popular commercial product that works within Microsoft Excel and project management programs.
If you are new to advanced techniques in project risk management you'll like the way the author succinctly covers all of the key elements of project risk assessment, project finance forecasting, and simulation and modeling. Considering the complexity of the subject area, and the fact that both probability and simulation techniques are covered, the author does a remarkable job of conveying the wide range of topics in a scant 134 pages. I especially liked the generous use of graphs and examples, and the way each topic was broken down into easy-to-grasp facts and steps.
However, even without @Risk you can learn much about risk assessment from this book, including a refresher on probability distributions, how to perform an assessment using manual techniques, and modeling and simulation with an emphasis on Monte Carlo simulation.
The only problem I have with this book is that it's out of date with respect to @Risk, which has evolved into a much more capable tool since this book was first published 7 years ago. Since one of the this book's strengths is the way it teaches how to apply @Risk to real world project risk assessment, the fact that it's out of date with respect to the software version diminishes its value.
Average customer rating:
- A Good Read!
- A Good Read!
- Unclear, and full of errors.
- Very Comprehensive, But too few examples
|
Measuring Market Risk with Value at Risk (Wiley Series in Financial Engineering)
Pietro Penza , and
Vipul K. Bansal
Manufacturer: Wiley
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ASIN: 0471393134 |
Book Description
"This book, Measuring Market Risk with Value at Risk by Vipul Bansal and Pietro Penza, has three advantages over earlier works on the subject. First, it takes a decidedly global approach-an essential ingredient for any comprehensive work on market risk. Second, it ties the scientifically grounded, yet intuitively appealing, VaR measure to earlier, more idiosyncratic measures of market risk that are used in specific market environs (e.g., duration in fixed income). Finally, it encompasses all of the accepted approaches to calculating a VaR measure and presents them in a clearly explained fashion with supporting illustrations and completely worked-out examples." -from the Foreword by John F. Marshall, PhD, Principal, Marshall, Tucker & Associates, LLC
"Measuring Market Risk with Value at Risk offers a much-needed intellectual bridge, a translation from the esoteric realm of mathematical finance to the domain of financial managers who seek guidance in applying developments from this important field of research as well as that of MBA-level graduate instruction. I believe the authors have done a commendable job of providing a carefully crafted, highly readable, and most useful work, and intend to recommend it to all those involved in business risk management applications." -Anthony F. Herbst, PhD, Professor of Finance and C.R. and D.S. Carter Chair, The University of Texas, El Paso and Founding editor of The Journal of Financial Engineering (1991-1998)
"Finally there's a book that strikes a balance between rigor and application in the area of risk management in the banking industry. This innovative book is a MUST for both novices and professionals alike." -Robert P. Yuyuenyongwatana, PhD, Associate Professor of Finance, Cameron University
"Measuring Market Risk with Value at Risk is one of the most complete discussions of this emerging topic in finance that I have seen. The authors develop a logical and rigorous framework for using VaR models, providing both historical references and analytical applications." -Kevin Wynne, PhD, Associate Professor of Finance, Lubin School of Business, Pace University
Customer Reviews:
A Good Read!.......2004-04-30
This book is a detailed and meticulous presentation of the calculations involved in Value at Risk (VaR) measurement. According to authors Pietro Penza and Vipul K. Bansal, Value at Risk is one of the most popular approaches to measuring the risk of harm to financial portfolios. It is a valuable institutional tool. Be aware, though, the book's message and how-to assistance will seem generally irrelevant to individual investors, except for a handful of extremely high net worth individuals at the top of the Forbes 400. Its calculations are beyond the ken of most non-mathematicians, but they will intrigue the right audience. We find this book to be a useful addition to the libraries of professional investors, bankers or risk managers, particularly those with highly developed analytical skills and a certain degree of comfort with financial engineering. Some other financial managers and lay readers will find useful information here, though they may need to walk on tiptoes through those sections of the content that are over their heads.
A Good Read!.......2004-03-09
This book is a detailed and meticulous presentation of the calculations involved in Value at Risk (VaR) measurement. According to authors Pietro Penza and Vipul K. Bansal, Value at Risk is one of the most popular approaches to measuring the risk of harm to financial portfolios. It is a valuable institutional tool. Be aware, though, the book's message and how-to assistance will seem generally irrelevant to individual investors, except for a handful of extremely high net worth individuals at the top of the Forbes 400. Its calculations are beyond the ken of most non-mathematicians, but they will intrigue the right audience. We find this book to be a useful addition to the libraries of professional investors, bankers or risk managers, particularly those with highly developed analytical skills and a certain degree of comfort with financial engineering. Some other financial managers and lay readers will find useful information here, though they may need to walk on tiptoes through those sections of the content that are over their heads.
Unclear, and full of errors........2003-06-16
I stopped reading this book after the first 7 chapters. It's easy going conceptually, but manages to be very irritating for the following reasons: The "definitions" are often confusing and unilluminating, although the examples that follow generally manage to get the idea across. There are also a large number of mathematical errors, which I was able to clear up only because I'm already familiar with the essentials of VaR. As a first introduction, the book is therefore useless. Perhaps the remaining 10 chapters of the book are of sterling quality -- to hedge against this eventuality I award two stars, rather than just one -- but I will be seeking another source.
[And shame, shame, shame on Wiley Finance's editors. Apart from the above errors, here are just two howlers that prove that the book was published before anybody read it: "Neper's number" for e (Napier?), "phenomene" as plural of phenomena (which would have made a kind of grammatical sense weren't it for the fact that phenomena is alread the plural of phenomenon.) No doubt Wiley Finance believes that sales are unaffected by reputation.]
Very Comprehensive, But too few examples.......2001-06-24
Penza and Bansal has done a good work on making a whole picture of Market Risk Measurement. With the clear explanation, it helps the beginners to quickly grasp the concept on Market Risk Measurement. It is well organized in 16 chapters, beginning with a few chapters on financial risk management in banking, including a review on the traditional Asset/ Liability Management. The review on Mathematical and statistical techniques is very well described. The authors also explained the analysis of pricing financial assets, including Fixed-income, equity, and derivative. Finally, they show the common methodologies to calculate VaR-Parametric, Historical Simulation and Monte Carlo Simulation.
I considered this book as a good literature review on Value at Risk, but not the step-by-step one. It provides complete set of formulas but too few examples. I recommend for beginning- and intermediate-level readers who want to know the overall concept of Value at Risk.
Book Description
This text provides a thorough treatment of futures, 'plain vanilla' options and swaps as well as the use of exotic derivatives and interest rate options for speculation and hedging. Pricing of options using numerical methods such as lattices (BOPM), Mone Carlo simulation and finite difference methods, in additon to solutions using continuous time mathematics, are also covered. Real options theory and its use in investment appraisal and in valuing internet and biotechnology companies provide cutting edge practical applications.
Practical risk management issues are examined in depth. Alternative models for calculating Value at Risk (market risk) and credit risk provide the throretical basis for a practical and timely overview of these areas of regulatory policy.
This book is designed for courses in derivatives and risk management taken by specialist MBA, MSc Finance students or final year undergraduates, either as a stand-alone text or as a follow-on to Investments: Spot and Derivatives Markets by the same authors.
The authors adopt a real-world emphasis throughout, and include features such as:
* topic boxes, worked examples and learning objectives
* Financial Times and Wall Street Journal newspaper extracts and analysis of real world cases
* supporting web site including Lecturer's Resource Pack and Student Centre with interactive Excel and GAUSS software
Customer Reviews:
Ideal Intro bk for a Financial Engineering/Risk Mgt course.......2003-04-28
This is probably the ideal introductory textbook for advanced undergrad or MBA/MSc Finance majors for their first Financial Engineering or Risk Management courses.
New students of these subjects would benefit more from reading this textbook than from reading the much more celebrated (whether deserving or not is up to debate) and yet much more expensive John Hull's classic 'Options, Futures, and other Derivatives', despite the fact that Hull's book is a favorite among many college professors (Hull's book was, incidentally, the textbook used in my MBA options and derivatives course)
There are many reasons that I feel this book represents good value and provides a smooth introduction into the world of financial engineering:
1. Comprehensive: All the major financial products and derivatives are thoroughly covered. Advanced topics such as Chooser options and real options are included as well.
2. Available computer/spreadsheet models: To supplement the excellent coverage in the textbook, the author have made available codes on his website for students to download and to further their self-study. The spreadsheets are professionally done and I found them very useful, either as learning tools or as template to develop more advanced models.
3. Clarity of exposition: The style is straightforward, avoiding unnecessary jargons. Yet the authors walk you through each step of the way using examples, graphs(plenty of them), fully developed equations, and tables.
4. Math and theoretical Rigor: This book does not lack mathematical rigor. Technical appendices are included as well, e.g. Ito's Lemma. If needed, relevant literature is quoted for the student to further his/her study.
5. Solid Value: this book can be had for less than fifty dollars. A bargain compared to many other finance books of similar caliber. Getting this book is like getting two for the price of one: both the financial engineering section and that of risk management could have been sold as two separate volumes.
With this book the authors have paved the way for the new students of FE and Risk management to explore these fascinating world. You will not regret the purchase.
Book Description
This book updates and advances the theory of expected utility as applied to risk analysis and financial decision making. Von Neumann and Morgenstern pioneered the use of expected utility theory in the 1940s, but most utility functions used in financial management are still relatively simplistic and assume a mean-variance world. Taking into account recent advances in the economics of risk and uncertainty, this book focuses on richer applications of expected utility in finance, macroeconomics, and environmental economics.
The book covers these topics: expected utility theory and related concepts; the standard portfolio problem of choice under uncertainty involving two different assets; P the basic hyperplane separation theorem and log-supermodular functions as technical tools for solving various decision-making problems under uncertainty; s choice involving multiple risks; the Arrow-Debreu portfolio problem; consumption and saving; the equilibrium price of risk and time in an Arrow-Debreu economy; and dynamic models of decision making when a flow of information on future risks is expected over time. The book is appropriate for both students and professionals. Concepts are presented intuitively as well as formally, and the theory is balanced by empirical considerations. Each chapter concludes with a problem set.
Customer Reviews:
Excellent book.......2007-08-28
This book presents an excellent summary of the toolbox that students and professionals must manage in order to understand the numberless amount of modern contributions on asset pricing. All recent advances in the use of risk and uncertainty are presented with simple and direct language, and without useless mathematical sophistication. A needed help for asset pricing courses intended to graduate students.
masterpiece.......2007-08-07
Amazing book connecting all the dots you know in asset pricing, macro, general equil'um, etc. You come out of it refreshed, feeling you are a different person.
a gem.......2003-07-04
Gollier has written a book that not many others could have written. It is VERY complete, it is full of deep insights, and, for me, it is a pleasure to read. Don't be mistaken: this is a research book, not a textbook. But for those of us doing research in decision theory, general equilibrium, finance, or macroeconomics, it is simply a must. How could you afford NOT to buy it?
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Principles of Financial Engineering (Academic Press Advanced Finance)
The Concepts and Practice of Mathematical Finance (Mathematics, Finance and Risk)
Introduction to the Mathematics of Financial Derivatives
Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer Finance)
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