Book Description
Quantitative Methods for Investment Analysis provides a blend of theory and practice to teach statistics within the context of finance and investments. No prior financial knowledge is assumed. Several features of this book are tailored specifically to help the reader. First, learning outcome statements (LOS) specify the objective of each chapter. Second, examples and problem practice are emphasized so that the reader can gain confidence in meeting the LOS objectives. Finally, examples and problems seek to present situations faced by investment practitioners and reflect the global investment community.
Customer Reviews:
Difference between 2001 First edition and 2004 Second edition?.......2006-01-18
Given that the 2001 First edition is selling for $30 less used than the 2004 Second edition, is there a big difference between the 2 editions. Should I just save myself $30 and buy the first edition?
I randomly selected "3 stars" b/c I had to. I have no review of this book.
Thanks.
A big improvement.......2004-04-22
This text is a great improvement over the material the CFA program used in the mid-90s. Since it is intended to provide a survey of basic statistics and their applications in finance, it would be wrong to expect a deep treatise on any one subject. There are many real world applications used to describe the concepts tackled in this book. The learning outcomes listed at the beginning of each chapter provide a road map for the reader so that all salient points will be absorbed.
Will this book be the only one you will need to become a quantitative analyst? No, but it is a great starting point. If you are desiring more depth perhaps a review of the abstracts on the AIMR website would lead you more involved, scholarly efforts.
Think twice before buying.......2004-03-08
I have purchased this book because it was recommended reading for the CFA program.
Unfortunately, this book has really disappointed me. The author explains nothing but general statistics but attempts to add an "investment dimension" to his explanations. The writing style is anything but educational. The output is a unstructured, complicated and uncomprehensive text with examples that only add to your confusion. In many of the passages you get lost and don't understand what the author is trying to get across to you or where he is leading. The author frequently jumps from one topic to another and skips important information, not to mention the numerous printing errors in the text. I found myself struggling on one of the passages half an hour, when I finally decided to look up the same topic in the statistics book in the library. It explained everything in a matter of seconds.
Think twice before buying this book. Get ANY introductory business statistics text (e.g. Statistics for Management and Economics by Gerald Keller) - they ALL cover the SAME topics in a MUCH more understandable way.
Only average textbook.......2003-12-03
This book does not do a good job in explaining the basic concepts of Statistics and how to apply it for quantitative analysis of Investments. The only reason why this book sells is that it is part of the recommended texts for the CFA program and the authors are part of the AIMR board. I am pursing the CFA charter as well as my masters in Economics and I would suggest the book "Introductory Statistics" by Thomas H. Wonnacott, Ronald J. Wonnacott which does an awesome job in explaining the basic concepts of Statistics. You would understand WHY we do such and such instead of memorizing formulae.
A fine book and a fine investment.......2003-10-12
There is a large body of knowledge related to quantitative analysis, and I really love how quickly this book manages to convey so much of it to the reader. The authors rapidly build on knowledge in the chapter text, allowing you to learn quickly. They also provide boxed examples and end-of-chapter practice problems for those readers needing to carefully review particular topics.
You'll find yourself speeding through concepts like discounting, distributions, hypothesis testing, and much more as you read through the pages. I'm a little embarrassed to say that before reading this book I often created computer simulations to assess a distribution of outcomes - simply because I never learned the math that would allow me to find my answers quickly on a calculator. Today I retreat to computer simulations much less often, and have reaped large dividends on saved time and resources.
Whether you are working to obtain the CFA designation, or are simply looking for a terrific desk resource for quantitative analysis, I recommend this book to you.
A more complete list of topics covered:
Discounting and rates of return
Statistics, probabilities, and distributions
Estimation and hypothesis testing
Regression analysis
Portfolio analysis
Book Description
This book provides a manual on quantitative financial analysis. Focusing on advanced methods for modelling financial markets in the context of practical financial applications, it will cover data, software and techniques that will enable the reader to implement and interpret quantitative methodologies, specifically for trading and investment. Includes CD-ROM with samples of different software used in the various models.
* Includes contributions from an international team of academics and quantitative asset managers from Morgan Stanley, Barclays Global Investors, ABN AMRO and Credit Suisse First Boston.
* Fills the gap for a book on applied quantitative investment & trading models
* Provides details of how to combine various models to manage and trade a portfolio
Customer Reviews:
For traders with very strong statistics and programming background.......2006-07-15
Unless you already are in the trade or you want to write your own trading programmes, please give this a pass. This quantitative analysis based book is definitely beyond those without very strong statistics and programming capabilities. Sorry to tell you that as an MBA, CFA pro trader, I could grasp at most 30% of the modeling techniques described. Certainly the CDROM bundled did help. However, I doubt how many readers would have that patience and resource to collect and input the data needed.
Provocative and fun text on the cutting edge, not an introductionn.......2006-06-14
Whereas most books on quantitative finance focus on how to price derivatives or model interest rates, this is a text on quantitative and computational methods that are about making money.
How to we forecast future prices? What is the place for artificial intelligence and neural networks? How are people using Bayesian methods and neural regressions? How can technical analysis and trend-following rules contribute to quantitative trading systems? How can new volatility and correlation models be applied (in Excel) to portfolio optimization?
These questions are answered by practitioners and academics with case studies and real-world applications. Each chapter provides a quick taste of things people are doing outside the box of your typical quant finance books. Do not expect a new philosophy or over-arching theory. This is just a book to prod half-baked ideas that might merit more consideration or to re-start one's own creative juices.
Excellent.......2006-02-27
This book offers a very nice insight on quatitative finance, so a variety of topics is covered...The book goes trough very popular and stablished analysis methods, so Markowitz portfolio selection model to more sophisticated so as neural networks...In my opinion, it is a very useful book, not only to grasp the fundamental things, but alto to implement them...flh
Book Description
The first in-depth analysis of pairs trading
Pairs trading is a market-neutral strategy in its most simple form. The strategy involves being long (or bullish) one asset and short (or bearish) another. If properly performed, the investor will gain if the market rises or falls. Pairs Trading reveals the secrets of this rigorous quantitative analysis program to provide individuals and investment houses with the tools they need to successfully implement and profit from this proven trading methodology. Pairs Trading contains specific and tested formulas for identifying and investing in pairs, and answers important questions such as what ratio should be used to construct the pairs properly.
Ganapathy Vidyamurthy (Stamford, CT) is currently a quantitative software analyst and developer at a major New York City hedge fund.
Download Description
The first in-depth analysis of pairs trading
Pairs trading is a market-neutral strategy in its most simple form. The strategy involves being long (or bullish) one asset and short (or bearish) another. If properly performed, the investor will gain if the market rises or falls. Pairs Trading reveals the secrets of this rigorous quantitative analysis program to provide individuals and investment houses with the tools they need to successfully implement and profit from this proven trading methodology. Pairs Trading contains specific and tested formulas for identifying and investing in pairs, and answers important questions such as what ratio should be used to construct the pairs properly.
Ganapathy Vidyamurthy (Stamford, CT) is currently a quantitative software analyst and developer at a major New York City hedge fund.
Customer Reviews:
Very interesting material.......2007-05-25
It's a good read even with the somewhat unorthodox mathematical notation. The overall concept of pairs trading is introduced well, with just enough detail to tempt the more adventurous gambler. The author appears well versed in the subject and writes well but assumes a relatively high level of mathematical maturity on the part of the reader.
the only good introduction to pairs trades and high frequency finance.......2007-04-15
When people talk about "quant" stuff, they are generally talking about two fairly distinct kinds of quant. There are the derivatives guys (options sell side & risk hedgers), and the 'statistical arbitrage' guys. This is one of the best books for a larval 'statistical arbitrage' guy. 'Statistical arbitrage' is a term referring to the techniques used by sophisticated hedge funds and trading desks to provide 'risk free' returns. I stick in the scare quotes around these phrases, because they're not really arbitrage, though they can be pretty decoupled from market returns. The techniques go well beyond just trading pairs, so the phrase, 'stat arb' is probably with us for good, even though it is often neither stat nor arb. The mean reverting versions of these techniques were largely invented by Nunzio Tartaglia and company (primarily Gerry Bamberger according to Thorp) at Morgan Stanley in the 1980s. Many of his underlings went on to found their own hedge funds, and the secret eventually became relatively common knowledge. Boesky was one of the more famous practitioners of merger arbitrage, which is an older, related technique.
This book is a fun introduction to 'statistical arbitrage,' concentrating on the standard "mean reverting pairs" variety, and a decent explanation of merger arbitrage which he unifies with mean reverting stat arb in an interesting way. These two strategies still form the basis of a large number of high frequency techniques in one form or another. In fact, the book provides enough background material to be useful for all kinds of techniques for finding alpha; it has a very clear treatment of factor models, time series analysis (best low level one I have ever read, anywhere) and what market neutrality is and isn't. He provides a decent amount of discussion of the complexities surrounding tradeability and other practical issues that get swept under the rug in most books.
Sure, there are a lot of specific 'stat arb' techniques he doesn't mention explicitly. He doesn't talk about basket trading plays, index arbitrage, volatility arbitrage or any of the other myriad clever (and often over my head) techniques used by sophisticated fund managers to vacuum up loose change that dumb people leave on the street. So what? Vidyamurthy gives you enough material you can go out and learn the practical details of real strategies on your own. If you're gifted enough, you can go figure them out (and more) for yourself once you understand the material in the book: they're mostly variations on these themes. Why should Vidyamurthy give away the keys to the kingdom for $100? Be happy he wrote the book at all. Presumably, he makes a living actually doing 'stat arb' type things, and his motivation was to have a book to give to his underlings so he didn't have to explain GARCH and cointegration to someone who breathes out of his mouth for the 9,000th time.
Anyone who can't read this book simply doesn't have the intellectual horsepower or attention span to do this kind of trading. The book is almost excruciatingly clear, it is very short, and even does the MBA's the favor of tucking the scary mathematics involving matrices and standard deviations safely away in chapter appendices. I mean, it even has cartoons and funny anecdotes (which are actually very funny: I detect a Wodehouse fan in Vidyamurthy). You have to actually pay attention while you read, and some sections, you may have to read twice. The concepts will not leap off the page and embed themselves into your frontal lobes, but it really isn't that difficult for any intelligent person to understand. I can think of no better introduction to pairs trading, or general alpha quant type stuff than this book. It should probably be on every wannabe quant or trader's desk if it isn't already etched into the fiber of their being.
Covers the right stuff but poorly written.......2007-03-08
I was looking for books on stat arb and risk arb and was surprised that not many titles showed up for my search on Amazon. I eventually bought this book (a used copy) and although the book covers exactly the kind of stuff you want to learn about pairs trading, the writing is very poor and there are way too many places where the sentences don't make any sense, regardless of your math/stat background. This book is not a how-to book. It's a general treatise and not a good one at that. I cannot recommend this book. You may want to check out Tsay's financial time series analysis book which, although not specifically for pairs trading, has all the essential materials.
Good overview, but only just.......2007-01-19
I have mixed feelings about this book: on the one hand it's a good overview of statistical and risk (merger) arbitrage. On the other, it is pretty shallow in terms of both practice and theory.
It is certainly not possible to use it directly for trading (like any other published book, I guess). An example of a theoretical flaw is the dodgy usage of bootstrap methodology which is a lot more assumption-sensitive tool than it is generally believed. One more example when the idea itself is nice but the implementation is not: the author shows how to assess VaR for a pair of assets and doesn't seem to notice that the estimated probability of deal-break is risk-neutral, not physical probability and thus can not be directly used to estimate VaR which is tied to the physical probability distribution.
There's a possibility, however, that these and other discrepancies are a result of the author's unwillingless to disclose too much. Indeed, I have yet to see a book that properly covers the gap between the original cointegration results (obtained around 1985) and their real industrial implementation. If anyone can suggest a deeper book on Statistical Arbitrage, please let me know (click on my name above).
Nice read!! .......2006-10-20
Totally agree with Dr. Bruhn. The book keeps mathematics to a minimum, simply reviewing a collection of time series analysis techniques and putting those into a trading context. I can understand however that this might be a rather tedious read for someone who hasn't been exposed to statistics or time series analysis before.
For someone who has the ambition to get on top of the material, I would recommend reading Chris Brooks's "Introductory econometrics for finance" first or as accompanying text. A quite easy and enjoyable read into time series analysis.
I haven't looked into pairs trading before, but since I have taken a postgrad course in econometrics, all the concepts were familiar to me and partially covered in my course. I found the book to be a nice summary of what I had learned which might serve me well as a reference for the future.
My conclusion is that this book is a nice, enjoyable read for someone with an econometric/ statistical background, but may be challenging (but certainly managable with good accompanying texts) for newbies.
Book Description
This book presents a cogent description of the main methodologies used in derivatives pricing. Starting with a summary of the elements of Stochastic Calculus, Quantitative Methods in Derivatives Pricing develops the fundamental tools of financial engineering, such as scenario generation, simulation for European instruments, simulation for American instruments, and finite differences in an intuitive and practical manner, with an abundance of practical examples and case studies. Intended primarily as an introductory graduate textbook in computational finance, this book will also serve as a reference for practitioners seeking basic information on alternative pricing methodologies.
Domingo Tavella is President of Octanti Associates, a consulting firm in risk management and financial systems design. He is the founder and chief editor of the Journal of Computational Finance and has pioneered the application of advanced numerical techniques in pricing and risk analysis in the financial and insurance industries. Tavella coauthored Pricing Financial Instruments: The Finite Difference Method. He holds a PhD in aeronautical engineering from Stanford University and an MBA in finance from the University of California at Berkeley.
Customer Reviews:
Computational finance: Tavella.......2005-03-27
Badly written/errors/typos all over.
Reviews/praise (on back cover) are meaningless & misleading.
The proof is in the reading!.......2002-08-14
Over 100 students in Berkeley's Master's in Financial Engineering Program have so far successfully mastered state-of-the-art derivatives pricing using the material in this textbook. In "The proof of the pudding is in the eating" test, this book earns an A+.
John O'Brien, Executive Director MFE Program, U.C. Berkeley
Excellent Reference for Computational Finance.......2002-08-09
This is an excellent introduction book on computational finance. It covers Monte Carlo simulation for pricing and scenario generations and finite difference methods very well. I really like the part on Monte Carlo simulation with various variance reduction techniques such as Brownian Bridge.
The author not only presents the methodologies, but he also tells the readers their limitations. This book is also a good resource for basics of stochastic processes most commonly needed in practice. I think the book is beneficial both to practitioners and students who really wants to consider financial engineering as a career.
Excellent resource.......2002-08-06
Whether you're a practitioner or a student, this text is great. It is succinctly written, covering everything from fundamental theories then leading into practical applications. While it is not for the mentally flaccid, if your sharp enough, you'll find it very useful.
A book for the mathematically inclined.......2002-07-15
The book covers pricing of derivatives and the underlying computational methods. This broad range of topics covers aspects like stochastic calculus, risk neutral pricing and computational methods. The communication of this broad range of topics is a challenge and the book might be fine tuned to better teach the reader besides the intuition of the methods, the detailed implementation. It is suitable for people with a very strong mathematics and programming background, but is a tough read if one wants to learn these subjects. In order to become a good how -to book, the examples provided need to be expanded and ideally worked out in a more detailed fashion. One great add on might be to have a disk with sample code, that shows how the different methods work and how to implement them.
Positive is:
- Good section on stochastic calculus
- Good introduction to risk free pricing
Areas for improvement
- Expand examples
- Better quality check to avoid typos, that are especially annoying in formulas
- If this book is to be used as a textbook or for self study, practice examples with solutions would be great, as the reader can then work through these to internalize the material and in addition check if he has fully understood the material
Overall I can only recommend the book to people with strong liking of a mathematical treatment of a subject, strong programming skills and little need for detailed examples. It does not go into sufficient detail on how to implement the different simulation strategies into code (provides only "pseudo code") to teach the computational aspects.
Book Description
Quantitative Methods for Finance and Investments ensures that readers will gain a reasonable degree of comfort and proficiency in applying elementary mathematics to financial analysis in a variety of areas. All of the methodology in this book is geared toward the development, implementation, and analysis of financial models to solve problems encountered by both finance students and practitioners. The book:analyzes theoretical and practitioner-oriented models long with the mathematics required to construct thempresents the most essential mathematical techniques and their applications to financial analysisprovides dozens of practical applications, examples, and end-of-chapter exercises with detailed solutionsdemonstrates key spreadsheet applications of the mathematical models in chapter appendicesemphasizes practical applications of modeling technique.
Customer Reviews:
Excellent review for finance.......2007-02-14
This book covers the basic math and concepts for finance. All you need in a simple and descriptive summary. Highly recommended.
Ideal for its audience.......2002-09-15
Abraham Lincoln said: "If you like this kind of book, this is the kind of book you will like." Teall and Hasan fill the bill. They do an excellent job of meeting the needs of a particular audience. That would be: students with some grounding in math who need a refresher for the academic study of finance. Coverage is exhaustive: they carry the reader all the way from a basic math refresher through to option pricing. The examples are clear and specific, and they are neatly related to the subject at hand -- it's not just a recycled engineering text.
The introduction says that the purpose is "to update" their skills. The verb is well chosen. I doubt that anyone could learn, say calculus, from a reading of this book, no matter how determined the reader. But the student who took calculus in high school and then forgot it will find this a serviceable device for bringing it back to mind. Perhaps inconsistently, the authors also say that the book can serve "as a primary text" for a quants course, even for undergraduates. Repeating what I said above, I doubt it.
The nature of these comments may seem to limit their market, but I mean no criticism of the book as such. I am already recommending it to students, and for the right reader, it is just the ticket.
Book Description
This book presents practical Risk Management and Trading applications for the Electricity Markets. Various methodologies developed over the last few years are considered and current literature is reviewed. The book emphasizes the relationship between trading, hedging and generation asset management.
Book Description
This text explains in an intuitive yet rigorous way the mathematical and statistical applications relevant to modern financial instruments and risk management techniques. It progresses at a pace that is comfortable for those with less mathematical expertise yet reaches a level of analysis that will reward even the most experienced. The strong applied emphasis makes this book ideal for anyone who is seriously interested in mastering the quantitative techniques underpinning modern financial decision making.
Customer Reviews:
Do not buy this lousy book.......2006-08-28
This book is pretty bad. It goes into a lot of details on very simple calculations and manages to make them seem more complex than they actually are. This is sepecially true in the first chapter on interest rates.
When it comes into advanced topics, there is a lot of hand waving and pulling of critical results from nothing. Worse is the fact that when these handwaving occurs, the reader is not informed.
The authors also tend to over simplify advanced topics and do not ensure a consistent notation. People should not depend on this book to build their foundation in financial maths as you would pick up a lot of misconceptions that will hinder understanding of more advanced topics later. This book serves best as a collection of formulae in basic financial maths that you can refer to when you can't remember a formula.
Both the CFA notes and IOA notes on quant do a much better job of explaining financila maths compared to this book
Much better than Neftci or Wilmott at explaining basics.......2002-04-18
This book actually can be read by non-math majors.
Watsham really makes the effort needed to make
the book "readable" to non-quants.
Unlike Neftci and Wilmott, who jump to more advanced material
without really explaining most of the details,
Watsham explains all the needed details.
However, Watsham's book covers much fewer topics
than Neftci's or Wilmott's (Quant finance) book covers.
I hope Mr. Watsham next edition includes more of the
topics that are found in Netfci's book.
Much better than Neftci or Wilmott at explaining basics.......2002-04-18
This book actually can be read by non-math majors.
Watsham really makes the effort needed to make
the book "readable" to non-quants.
Unlike Neftci and Wilmott, who jump to more advanced material
without really explaining most of the details,
Watsham explains all the needed details.
However, Watsham's book covers much fewer topics
than Neftci's or Wilmott's (Quant finance) book covers.
I hope Mr. Watsham next edition includes more of the
topics that are found in Netfci's book.
To build a strong foundation.......2001-09-21
It is one book that covers a wide range of basic to intermediate level concepts that are essential for any quantitative finance practitioner, financial analyst, portfolio manager and derivative traders. The book assumes some very basic mathematical background. Throughout the book the authors seem to have deliberately relied on basic algebra rather than complex integration and differentiation -- except in some relatively advanced topics that are covered in final few chapters of the book. I highly recommend reading this book to build a solid background of mathematics that is now commonplace in finance.
Quant for 'non-quants'.......2000-10-07
This book targets readers who have little or no familiarity with statistics and calculus (or who, like me, has forgotten much of these two disciplines. The authors do a great job of explaning why we use the methods they explain. Clear examples are provided. Complex subjects are built up from simpler principles. I highly recommend this bood to students seeking a thorough grounding in the quantitative methods underlying the pricing of assets and derivatives, portfolio management, risk management, etc.
Average customer rating:
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Quantitative Methods for Financial Analysis
Stephen J. Brown
Manufacturer: McGraw-Hill Professional Publishing
ProductGroup: Book
Binding: Hardcover
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ASIN: 155623306X |
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Dynamic Portfolio Strategies: Quantitative Methods and Empirical Rules for Incomplete Information (International Series in Operations Research and Management Science, Volume 47)
Nikolai Dokuchaev
Manufacturer: Springer
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| Qualifying Textbooks - Fall 2007
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ASIN: 079237648X |
Book Description
Dynamic Portfolio Strategies: Quantitative Methods and Empirical Rules for Incomplete Information investigates optimal investment problems for stochastic financial market models. It is addressed to academics and students who are interested in the mathematics of finance, stochastic processes, and optimal control, and also to practitioners in risk management and quantitative analysis who are interested in new strategies and methods of stochastic analysis.
While there are many works devoted to the solution of optimal investment problems for various models, the focus of this book is on analytical strategies based on "technical analysis" which are model-free. The technical analysis of these strategies has a number of characteristics. Two of the more important characteristics are: (1) they require only historical data, and (2) typically they are more widely used by traders than analysis based on stochastic models. Hence it is the objective of this book to reduce the gap between model-free strategies and strategies that are "optimal" for stochastic models. We hope that researchers, students and practitioners will be interested in some of the new empirically based methods of "technical analysis" strategies suggested in this book and evaluated via stochastic market models.
Average customer rating:
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Quantitative Methods for Capital Budgeting
Reuven R. Levary , and
Neil E. Seitz
Manufacturer: South-Western Pub
ProductGroup: Book
Binding: Paperback
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ASIN: 0538060808 |
Books:
- Rising Above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future
- Scenario Planning: The Link Between Future and Strategy
- Shelter Dogs
- Small Business Management: An Entrepreneurial Emphasis (with CD-ROM and InfoTrac®)
- SPIN Selling
- Start Your Own Wedding Consultant Business: Your Step-By-Step Guide to Success
- Stochastic Calculus and Financial Applications
- Stop Sitting on Your Assets: How to Safely Leverage the Equity Trapped in Your Home and Transform It Into a Constant Flow of Wealth and Security
- Talk Your Way Out of Credit Card Debt!: Phone Calls to Banks That Saved More Than $43,000 in Interest Charges and Fees
- Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications (New York Institute of Finance)
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