Book Description
This revision of QUANTITATIVE METHODS FOR BUSINESS provides students with a conceptual understanding of the role that quantitative methods play in the decision-making process. This text describes the many quantitative methods that have been developed over the years, explains how they work, and shows how the decision-maker can apply and interpret data. Written with the non-mathematician in mind, this text is applications-oriented. Its "Problem-Scenario Approach" motivates and helps students understand and apply mathematical concepts and techniques. In addition, the managerial orientation motivates students by using examples that illustrate situations in which quantitative methods are useful in decision making.
Customer Reviews:
This textbook is TERRIBLE!.......2005-10-01
This book is written in unnecessarily complicated language and does not present information in a way that is easily understood. I teach graduate courses in quantitative methods and I made the mistake of ordering this book for one of my courses without reading it first. It was a disaster!
Unless you are getting a doctorate and need to know lots of complicated formulas without adequate explanations, DO NOT buy this book.
Quantitative MAnagement.......2005-07-10
IT's really oky book. But it took a little more time to get it ghrough me. There are few scratches on the book when i recd. it. The parcel is oky.
Thanks anyway,
Quant Methods Book.......2005-03-06
I have used this textbook for an upper level math class and although the book was hard to follow, I really feel that it did present the information in a well laid out format. Some of the words were hard to grasp, but as for the problems in the back, I found them very useful. I hope anyone out there will in fact give this book a chance.
ABSOLUTELY THE WORST TEXTBOOK FROM A STUDENT'S PERSPECTIVE.......2003-03-12
I am currently taking a Quant Meth class which is using this as the textbook. By far, this is the worst textbook I have ever encountered as a student. It is hard to understand and the answers that are given in the back do not explain how to get to the final solution. Because the problems are not paired (that is 1 is not like 2, 3 is not like 4, etc.) and the only answers are to the EVEN problems, you are basically lost. There is a website for the 9th edition that is "under construction" currently, so there is no help there. This is not a book conducive to learning. Teachers and colleges - PLEASE think twice before you choose this for your curriculum. Both you and your students will be miserable!
Quantitative Methods 8th Edition.......2002-02-01
I am a professor using this book to teach a graduate level Quantitative Methods math class. This book is hard to understand for the students. Exercises included at the end of the chapters are hard to figure for the student based on what is presented in the text alone.
For the instructor, no teacher support is available except a solutions manual. All other texts I have used provides sample lecture material, additional cases, etc. This text provides no such support with a useless web site.
Average customer rating:
- Great introduction to mathematical economics!
- A must read text book for any economics undergrad student
- A must read for graduate students in economics
- not so good
- The best math textbook for economist
|
Fundamental Methods of Mathematical Economics
Alpha C Chiang
Manufacturer: McGraw-Hill/Irwin
ProductGroup: Book
Binding: Hardcover
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Schaum's Outline Introduction to Mathematical Economics
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Mathematics for Economists
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Econometric Analysis (5th Edition)
ASIN: 0070108137 |
Book Description
The best-selling, best known text in Mathematical Economics course, Chiang teaches the basic mathematical methods indispensable for understanding current economic literature. the book's patient explanations are written in an informal, non-intimidating style. To underscore the relevance of mathematics to economics, the author allows the economist's analytical needs to motivate the study of related mathematical techniques; he then illustrates these techniques with appropriate economics models. Graphic illustrations often visually reinforce algebraic results. Many exercise problems serve as drills and help bolster student confidence. These major types of economic analysis are covered: statics, comparative statics, optimization problems, dynamics, and mathematical programming. These mathematical methods are introduced: matrix algebra, differential and integral calculus, differential equations, difference equations, and convex sets.
Customer Reviews:
Great introduction to mathematical economics!.......2007-07-18
I enjoy Chiang's writing style. I've been reading up on mathematical methods in preparation for a masters econ program, and feel very comfortable with the material thanks to this textbook. The international edition is a good bargain.
A must read text book for any economics undergrad student.......2006-04-02
I found it extremely easy to read and at the same time rigorous enough to settle the bases. The author knows very deeply the economics students needs of mathematical methods and achieves a precise and complete explanation of all notions I needed to know for my undergrad course. I strongly recommend it during the first or second year.
A must read for graduate students in economics.......2006-02-26
Alpha Chiang's text should serve as the foundation for all quantitive analysis done in economic theory. It is an invaluable teaching tool for graduate students in economics and will help them better understand the mathematical techniques that have become so necessary for economic modeling.
I am not a highly quantitative person myself, but I found Chiang's book comprehensible and a useful reference guide in my gradaute economics classes. Along with Hal Varian's "Microeconomic Theory" and Jan Kmenta's "Econometrics", I would say that Chiang's "Fundamentals of Mathematical Economics" should serve as sacred literature for any prospective graduate student in economics.
not so good.......2005-10-14
the text carries to excess the concept of "keeping the presentation as simple as possible". but in general you cannot understand or solve problems with a fifth grader's ability to abstract them.
especially the relunctance to use matrix notation makes some topics actually harder to understand once they become more complicated.
furthermore I find the structure quite confusing since the text amounts to a monotous blabla - clear definitions might be helpful and some rigor would keep the reader conscious instead of drifting off. after all the text is not so bad but I think we deserve something better. blume might be better.
The best math textbook for economist.......2005-09-30
That is why it used everywhere, in nearly all economic departments. I strongly recommend you buy this book. It really helped me in my undergrad, and it is helping in my graduate courses. If you want to buy another book to accompany this, get Simon and Blume book. One person (probably little masochistic) was saying that Chiang has so many examples, blah, blah, blah. Look, not everyone is a math genius, undergraduate student's need Chiang, it's even useful for graduates. Math is used quite too excessively in economics...showing off?
Book Description
This rigorous but brilliantly lucid book presents a self-contained treatment of modern economic dynamics. Stokey, Lucas, and Prescott develop the basic methods of recursive analysis and illustrate the many areas where they can usefully be applied.
After presenting an overview of the recursive approach, the authors develop economic applications for deterministic dynamic programming and the stability theory of first-order difference equations. They then treat stochastic dynamic programming and the convergence theory of discrete-time Markov processes, illustrating each with additional economic applications. They also derive a strong law of large numbers for Markov processes. Finally, they present the two fundamental theorems of welfare economics and show how to apply the methods developed earlier to general equilibrium systems.
The authors go on to apply their methods to many areas of economics. Models of firm and industry investment, household consumption behavior, long-run growth, capital accumulation, job search, job matching, inventory behavior, asset pricing, and money demand are among those they use to show how predictions can he made about individual and social behavior. Researchers and graduate students in economic theory will find this book essential.
Customer Reviews:
A reader.......2006-04-28
I have never, e*v*e*r encountered a worse book in any field in my entire life. Ok, so chapter 4 and 9 are cute - but you know what, you really don't need to write a book to publish 30 pages of material that is actually worth reading.
I had a clever teacher who once said: "If you want to pick mushrooms, go to the forest" - well, if you want to learn Math, take the bus and head to the math department. The presentation is completely unclear, there is no motivation and the math is treated in a ridiculusly simplified way.
According to SLP, to prove a theorem, all you need to do is make assumptions - no need to motivate why you make them - that would be overkill, rather leave it to the reder to motivate (as an annoying exercise).
I dream of the day a Mas-Collel of macro economics comes around and writes a comprehensive macro book. Until this day, I am left wiping my behind with chapter 1-3; 5-8; and 10-End. Oh well.
The first step in the methods.......2006-02-23
This book is a first great step into the theory and results that you need to really understand the technicalities behind current research on Dynamic General Equilibrium Macroeconomics.
Further, it's an excellent complement of Sargent and Ljungqvist's Recursive Macroeconomic Theory.
Essential.......2004-11-08
Essential for understanding modern macroeconomic theory, for better or worse. Chapter 4 on Dynamic Programming under certainty and bounded returns is beautiful. I recommend using this book in conjunction with Sargent's RMT.
tough, terse, but worth the fight.......2004-08-31
This is a really challenging book, worth fighting through. Some of the exercises are impossible without outside help, so for self-study the solutions manual by Irigoyen, et al is *essential*.
Good as research reference, but not in mastering the field.......2004-05-13
As a research economist or graduate student, especially if working in economic theory or dynamic macroeconomics, it is difficult to overstate the value of this book as a handy guide for a set of essential facts (re: theorems) regarding the existence of solutions to dynamic programming problems or markov decision processes, as well as characterizing the properties of the set of solutions.
That being said, this is not the book a budding theorist wants to learn techniques from (For the mathematical prerequisites: measure theory, topology, probability, stochastic processes, hilbert spaces, there are better treatments in the math literature. For dynamic programming in discrete time itself: Bertsekas and Shreve's 1978 text is far superior). Though I am not an expert in macroeconomics, I believe Sargent's sequence of books is a better source for learning the how-to-do, while keeping the economic questions crystal clear: neither of these is a strong point of this book.
Average customer rating:
- Tufte's Classic Is A Must Read In Our Statistical Times
- Essential for anyone working with charts and graphs
- Good ideas, nice layout, kinda rambling though
- Fascinating. Quick. Friendly for the non-expert
- An absolutely superb book.
|
The Visual Display of Quantitative Information, 2nd edition
Edward R. Tufte
Manufacturer: Graphics Press
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Envisioning Information
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The Cognitive Style of PowerPoint: Pitching Out Corrupts Within, Second Edition
ASIN: 0961392142 |
Amazon.com
A timeless classic in how complex information should be presented graphically. The Strunk & White of visual design. Should occupy a place of honor--within arm's reach--of everyone attempting to understand or depict numerical data graphically. The design of the book is an exemplar of the principles it espouses: elegant typography and layout, and seamless integration of lucid text and perfectly chosen graphical examples. Very Highly Recommended.
Customer Reviews:
Tufte's Classic Is A Must Read In Our Statistical Times.......2007-10-06
This book established Tufte as the authority on the subject of graphs, charts, tables, indeed the display of data by any means. The book is readable by most anyone and will add to your library and your ability to make your way intelligently and critically through the flood of statistical and graphical arguments and pitches placed before us every day.
Simply and confidently Tufte lays out the basics of the right and the wrong, the good and the bad (and occasionally ugly) regarding graphical depictions of data and information.
This book (The Visual Display of Quantitative Information, 2nd edition )is the first and the foundation of four books by Tufte (I. The Visual Display of Quantitative Information, 2nd edition. II. Envisioning Information. III. Visual Explanations: Images and Quantities, Evidence and Narrative. IV. Beautiful Evidence.) that should be read in the order of publication. You will be a wiser person for the effort.
His short book, "The Cognitive Style of PowerPoint: Pitching Out Corrupts Within", while not part of the "four volume set" is a withering attack on the ubiquitous software program, an attack based on the fact that it encourages the user to break nearly every principle that Tufte has spent the last 20 years elucidating in his books regarding the reading and the writing and presentation of well thought out and presented arguments and reports. I've read it and was convinced; PP constrains complex thought, argument, and statistical (indeed any form of) reasoning with its "bullet points", and is a very inefficient means of depicting information as well, cluttering the display space with useless clip art, huge fonts, and often misleading cookie-cutter graphs. (His satirical PP presentation of the Gettysburg Address humorously makes his points, while his analysis of a very real NASA PowerPoint slide from the decision-making meetings regarding the danger to the Space Shuttle Columbia before its destruction on re-entry makes his points in a very sobering manner.)
All this being said, The Visual Display of Quantitative Information is a Great Book. In the internet age we all spend many hours per week looking at visual depictions of information. Tufte's book will make you a more critical user of nearly everything, from the newspaper, to websites, to work presentations, the sports pages, and even your car's speedometer and other gauges. It is the foundation to all of his published work from the last two decades.
Buy this book!
Essential for anyone working with charts and graphs.......2007-03-10
This book fuses mathematical information with art to tell the underlying story and get your message across to the viewer. I would reccommend it to anyone responsible for conveying objective information to others.
Good ideas, nice layout, kinda rambling though.......2007-03-08
This book was very nicely laid out, and the ideas for presenting were good. Sometimes it was a little hard to follow because it rambled a little. But I did get some good pointers that I can use to visualize my data.
Fascinating. Quick. Friendly for the non-expert.......2007-01-09
The book strikes a good balance between major concepts and academic nitty-gritty.
An absolutely superb book........2006-11-23
Tufte presents an examination of a frankly under-esteemed method of data analysis that can be accurately described as passionate. As a Behavioural Scientist trained in sophisticated methods of statistical analysis, I previously was arrogantly inclined to regard charts and graphs as simplistic and naive approaches to data interpretation. However, I now apprehend the undeniable utility of graphical representation, and have acquired a fascination with the field through Tufte's contagious enthusiasm.
If you work with data of any form, it is IMPERATIVE that you read this book.
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
This book systematically and thoroughly covers a vast literature on the nonparametric and semiparametric statistics and econometrics that has evolved over the past five decades. Within this framework, this is the first book to discuss the principles of the nonparametric approach to the topics covered in a first year graduate course in econometrics, e.g., regression function, heteroskedasticity, simultaneous equations models, logit-probit and censored models. Professors Pagan and Ullah provide intuitive explanations of difficult concepts, heuristic developments of theory, and empirical examples emphasizing the usefulness of modern nonparametric approach. The book should provide a new perspective on teaching and research in applied subjects in general and econometrics and statistics in particular.
Customer Reviews:
The best introduction to the field.......2005-01-31
I think this is the best introduction to nonparametric and semiparametric estimation to date. It covers an impressive amount of material, and the focus is on density and regression estimation. The exposition is clear, a lot of crucial results are proved, and an immense quantity of others are sketched or at least mentioned. Most of the book is fairly or very advanced, but all topics are introduced in a neat, simple, and intuitive way, so even a beginner can benefit from several parts of this book (previous good knowledge of math & statistics are still necessary, of course). Densities, regressions, discrete dependent variable models, simultaneous equation models, selection models, it's all in here. The field is expanding, but this book really has almost all you need to know about what the field has done until the publication date.
There is also a nice and useful appendix for many of the asymptotic results used in the book. The only drawback (besides a few typos, but not so many to be annoying) is the scant presence of empirical applications, but this book is not supposed to be a guide for applied econometricians (at least, not mainly), so I don't think it's a serious shortcoming. If you are more interested in the applied side of np regression, but you still want a rigorous treatment, you may look at Yatchew's "Semiparametric regression for the applied econometrician", in the same Cambridge series. For an even simpler, shorter, and low-tech introduction to np esimation of densities and regression, I would suggest instead the last pages of Ch. 3 in the splendid "The analysis of household surveys", by Angus Deaton.
This book is really worth its price (which, by the way, is kept at a very decent level by the worthy Cambridge University Press. I wish Wiley or Chapman and Hall stopped with their policy of immoral prices...). Highly recommended.
Great Book on Non-Parametrics.......2001-10-20
I just started reading it, and I love the clear exposition of the book. Its a very fast-growing field, so don't expect this book to be the last word on the subject. Still, it's a must for an advanced graduate student in econometrics in need of a good introduction to non-parametric estimation.
A comprehensive review of nonparametrics statistics.......2001-04-08
Nonparametrics seems to be one of the most promising fields in econometrics. All econometricians should be aware of that and try to learn the basic tools. This book is a great beginning (perhaps you should read the chapter of nonparametrics in Johnston and Dinardo's "Econometric Methods" to get used to the very basic concepts). The manual contains practically all the stuff that has been done in the field. It begins pretty fast with the kernel estimation method and, by page 19, you will be face to nonparametric derivatives estimation equations. In the introduction there is a clear explanation of the difference between parametrics and nonparametrics; you will also learn the main basic methods and concepts, such as the nearest Neighborhood Estimator and the window's size problem. After that, you'll have to read about the statistical properties (finite sample and asymptotics) of the estimators. There is also a lot of stuff of semiparametric methods. You shouldn't expect an extremely easy-to-read manual, because nonparametrics is a pretty complex subject. The first 50 pages are easy and fun to read. You'll get excited by learning such interesting theory. But then, the hard topics begin and if you want to understand them all, you'll have to make a big effort. Not overwhelmingly complicated, neither elementary, this book is an excellent reference in the field, but I advice you to have two or three more books of the same subject (Hardle, for example) so you can understand faster some of the developments presented. A fairly good mathematical and probability knowledge is required.
Up to date.......2001-02-03
This is the most accessible and the most comprehensive text on nonparametric econometric methods I have seen. The field is highly technical, and there has been a need for the book that would combine ease-of-use with the scope. Moreover, the book is up to date and covers all econometric methods, instead of focusing on a specific branch. Recommended.
Book Description
This text employs the latest ideas in teaching business statistics and follows the philosophy espoused at the conference "Making Statistics More Effective in Schools of Business" (MSMESB). It emphasizes modern statistical methods and data analysis with a decreased emphasis on classical hypothesis testing and probability. It presents a problem-solving approach to the analysis of real data sets and procedures for data collection, design, and interpretation. It covers statistics in the context of the scientific method for problem recognition, problem formulation, and problem solving. Concrete examples of statistical techniques and computer use give students a practical framework of business statistics in practice.
Book Description
A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance
The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB®-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB®—the powerful numerical computing environment—for financial applications.
The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions.
Among this book's most outstanding features is the integration of MATLAB®, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricing. This tutorial is useful in connecting theory with practice in the application of classical numerical methods and advanced methods, while illustrating underlying algorithmic concepts in concrete terms.
Newly featured in the Second Edition:
- In-depth treatment of Monte Carlo methods with due attention paid to variance reduction strategies
- New appendix on AMPL© in order to better illustrate the optimization models in Chapters 11 and 12
- New chapter on binomial and trinomial lattices
- Additional treatment of partial differential equations with two space dimensions
- Expanded treatment within the chapter on financial theory to provide a more thorough background for engineers not familiar with finance
- New coverage of advanced optimization methods and applications later in the text
Numerical Methods in Finance and Economics: A MATLAB®-Based Introduction, Second Edition presents basic treatments and more specialized literature, and it also uses algebraic languages, such as AMPL©, to connect the pencil-and-paper statement of an optimization model with its solution by a software library. Offering computational practice in both financial engineering and economics fields, this book equips practitioners with the necessary techniques to measure and manage risk.
Customer Reviews:
Great book for quants.......2007-09-30
This is a great book if you want to be a quant or are interested in using mathematical methods for finance purposes. There are not many good books in this field and this one is definitely one of the few good ones out there.
However, this book is not for people with little background in math.
Like it, just what I need.......2007-05-23
It has up to date information about finance and math background needed. I pretty much like it.
Misssing the new stuff, still good on the old methods.......2007-04-19
The book earns 4 stars for how it combines what has been out there for some time with Matlab functionality. What one would have appreciated though is something about all the new stuff that has evolved in the last few years (e.g. credit risk, etc.)
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
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