Book Description
Econometrics: A Modern Introduction conditions students to think like econometricians right from the start by opening with a unique Monte Carlo exercise, and connects econometrics to economic theory through a series of exemplary econometric analyses presented throughout the text. Students learn to critically evaluate economic conclusions through the use of original data and compelling topics such as discrimination, demand for cocaine, capital punishment, and infant mortality.
Customer Reviews:
Worth the price.......2007-02-12
For those looking for the intuition behind econometrics, this textbook delivers. Not that there isn't any math, it is just that the understanding the theory is the priority. Obviously, a lot of work went into the refining the presentation, therefore we cannot begrudge the authour the rewards for his efforts.
Book Description
Designed for a first course in introductory econometrics, Introduction to Econometrics, reflects modern theory and practice, with interesting applications that motivate and match up with the theory to ensure students grasp the relevance of econometrics. Authors James H. Stock and Mark W. Watson integrate real-world questions and data into the development of the theory, with serious treatment of the substantive findings of the resulting empirical analysis.
Customer Reviews:
Good entry level book.......2007-05-29
This will be used for an entry graduate level, non-econ majors course in econometrics. The exposition is clear, logical and does not contain any math that is not absolutely required. Also contains examples without bogging down on them. It does not contain much mention of the software, but that may be on the associated website that I have not checked out.
Useless!!!.......2007-04-15
First and foremost, be aware if there are any reviews referring to "textbook", they are not for this "Cram 101 Textbook Outlines" which is supposed to be a textbook companion.
"Cram 101 Textbook Outlines" is useless!!! This is nothing but a bunch of glossary. And a half of the book is blank for writing notes. What a rip-off!!!
There's no outlines at all. No chapter summaries, no
explanation of concepts. Totally useless.
I have used "Collins College Outlines" series (I rate them 3 stars) and "Barron's Business Reviews" series (I rate them 5 stars).
Never buy any of "Cram 101 Textbook Outlines" series.
Technical notes: "Cram 101 Textbook Outlines" is POD (Print on demand). No wonder quality of printing is inferior (Looks like a xerox copy). And priced too high for this quality. For those who are not familiar with publishing industry--POD is used for ultra small quantity less than 100 copies. This is a telltale sign that book is not expected to sell minimum quantity (usually 3,000 copies) that commercial publisher is willing to
commit to publish. Simply put, POD means inferrior and
overpriced books. A work of amateur.
Terrible book, no examples, way too complicated.......2007-01-31
The Gujarati book is MUCH better. I re-read the chapters and still have no idea whats going on. DONT buy this book.
Great econometrics textbook for beginners!.......2007-01-09
It is clearly written and has a good level of detail. The very experienced authors were able to get the level right for beginners, while keeping precision and adding examples and current topics of interest even to more experienced users. Definitely a great buy!
Lacking in key areas.......2006-10-17
I found the book to be adequate in terms of how well-written it is, but lacking in many areas that keep it from getting anything higher than 3 stars.
My biggest gripe is that there are few examples. I really took this for granted, and didn't notice how important it was until they were taken out. In classes like math, you can easily get lost in all the notation in each formula. Examples are important because they show you how to use that formula in a real application. The book lacks examples, and this really makes it harder to understand what Stock and Watson are talkin about.
Another thing I'd like are answers to their problems. This is just useful so that you can check whether you are doing the problems at the end of the chapter right. Otherwise, you're completely clueless on how well you are doing.
Average customer rating:
- Good Companion Book
- Good book
- Very thoughtful and clear explanation of financial math
- sophisticated maths
- Remarkable Introduction to Serious Math, Serious Finance, and Real-World Applications
|
Introduction to the Mathematics of Financial Derivatives
Salih N. Neftci
Manufacturer: Academic Press
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Similar Items:
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Options, Futures and Other Derivatives (6th Edition)
-
Principles of Financial Engineering (Academic Press Advanced Finance)
-
Financial Calculus : An Introduction to Derivative Pricing
-
Heard on the Street: Quantitative Questions from Wall Street Job Interviews
-
Stochastic Calculus for Finance II: Continuous-Time Models (Springer Finance)
ASIN: 0125153929 |
Book Description
This popular text, publishing Spring 1999 in its Second Edition, introduces the mathematics underlying the pricing of derivatives. The increase of interest in dynamic pricing models stems from their applicability to practical situations: with the freeing of exchange, interest rates, and capital controls, the market for derivative products has matured and pricing models have become more accurate. Professor Neftci's book answers the need for a resource targeting professionals, Ph.D. students, and advanced MBA students who are specifically interested in these financial products. The Second Edition is designed to make the book the main text in first year masters and Ph.D. programs for certain courses, and will continue to be an important manual for market professionals.
Customer Reviews:
Good Companion Book.......2007-08-29
good companion book for the other book "Principles of Financial Engineering" by the same author
Clear and easy to understand treatment. The author does not assume a high level of math knowledge of the reader.
Good book.......2007-05-09
As title states this is a good Introduction to the mathematics of derivatives.
If you're looking for some book with C/C++/C#/Java code samples this isn't the book. Indeed a good mathematical introduction; its pre-requirements are a good mathematical and statistical ones.
Very thoughtful and clear explanation of financial math.......2007-02-05
I turn to this book after I get frustrated with Tomas Bojork's book "Arbitrage Theory in Continuous Time." As I am not from a strict math background, this Neftci's book makes much more sense to me. What I particularly like about this book is explanation in plain English of why the mathematical formulae are so, and how they are connected to the bigger picture. Also Neftci has a good grasp of how many real-life examples included in this book so that it doesn't lose its focus on the real math in finance.
sophisticated maths.......2006-06-16
Neftci takes us on a mathematically sophisticated tour of financial derivatives. The treatment is on a level akin to a senior-level undergrad text on physics or engineering. Indeed, to a reader who might come from that background, there will be a lot of similarities and familiar ideas.
For example, partial differential equations arise naturally in the pricing of derivative assets. But unlike many places in physics, here it is not sufficient to assume smoothly varying variables. The inherently discrete nature of most financial variables means that derivatives have to be approximated numerically.
Neftci also describes the various types of options, like basket, knock-out, multi-asset and so on. Each has a slightly different modelling. Another key idea involves the time aspect of pricing. So Wiener processes naturally arise, and the text shows how to handle these.
Much more is covered in the book. Perhaps just as importantly, it gives you enough maths preparation that you should be able to analyse other new types of financial instruments. Maybe even ones that you create yourself.
Remarkable Introduction to Serious Math, Serious Finance, and Real-World Applications.......2006-06-14
Neftci's book is easily grouped into a large number of texts that provide graduate level (considerable more rigorous than the MBA version) introductions to mathematical finance. Some are written for MBA with want to be exposed to as little math as possible without short changing the financial and valuation aspects and with considerable attention to a broad range of financial products and applications (Hull's classic comes to mind). Others are extremely implementation driven and are more a hybrid of finance and computer programming (Duffy, London, Wilmont). Still others are math books that speak above the heads of almost all practitioners and cover the finance topics poorly (or not at all).
Netfci's book is a rare gem in this field. Excellent coverage of financial topics and fundamentals (Arbitrage Theorem, Forwards Futures, Equity Derivatives, Interest Rate Derivatives), serious graduate level review of financial math and mathematical techniques (Probability, Numeric Processes, Binomial Methods, Stochastic Calculus, Finite Difference, Martingales, Monte Carlo methods), and applications (Bond Pricing, Term Structure Modeling, Exotic Options, Rare Event Modeling).
Best of all, it start assuming very little, builds aggressively, and progresses logically.
The biggest drawbacks are a lack of coverage for credit modeling and credit derivatives, Merton-model and contingent claim models for distressed equity, and more common financial engineering applications (hedging, rebalancing).
It is also remarkable well-written.
Average customer rating:
- modelling financial instruments
- good analysis on data error.
- From the experts in the field
- For the new millenium...that's what we need.
- More Than An Introduction
|
An Introduction to High-Frequency Finance
Ramazan Gençay ,
Michel Dacorogna ,
Ulrich A. Muller ,
Olivier Pictet , and
Richard Olsen
Manufacturer: Academic Press
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Similar Items:
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Analysis of Financial Time Series, 2nd Edition (Wiley Series in Probability and Statistics)
-
Market Models: A Guide to Financial Data Analysis
-
Trading and Exchanges: Market Microstructure for Practitioners
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Optimal Trading Strategies: Quantitative Approaches for Managing Market Impact and Trading Risk
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An Introduction to Wavelets and Other Filtering Methods in Finance and Economics
ASIN: 0122796713 |
Book Description
Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data.
This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.
Customer Reviews:
modelling financial instruments.......2007-03-08
The book gives an indepth statistical modelling of important financial events, that have time dependency. It is suitable for the financial analyst who wants a semi-empirical approach.
For some quantities, like foreign exchange data, there is a comparison between fully empirical results and various theoretical models. What is investigated are such behaviours like scaling laws, for the absolute returns as a function of frequency. Here, it has been empirically observed that scalings do exist for FX rates.
Whenever possible, the book gives rigorous results, often encapsulated in theorems relating to distributions of independently distributed random variables. The reader should have a background in statistics, with the equivalent of several years of undergraduate courses.
good analysis on data error........2007-01-16
Many type of error the book list are frequently occur in FX data.
This book give good guide on how to filter them.
From the experts in the field.......2002-06-06
Michel Dacorogna and the team at the former Olsen & Associates are well-known experts in the field of foreign exchange rate data analysis, and their book provides us with a vast, useful source of information. Unfortunately for students and other beginners, the book is written like a compilation of papers and review articles, the opposite of pedagogical, and with an awful choice of 'computerese' notation (MA(t,n)=sum(EMA(t',k)... etc) that makes Boudhaud-Potters look easy in comparison. More to the point, even their noncomputerese notation is difficult to follow. I hope for a very different second edition written pedagogically for students of this growing and important field. On the positive side, data analyses are performed using logarithmic returns, not price increments. Workers in the field who consult this text will find it helpful.
For the new millenium...that's what we need........2001-07-23
The book covers a wide range of topics related to high-frequency data in Finance. There is a very detailed approach to tackle a huge amount of data and to deal with its based stylized facts. The book triggers the reader's desire to update his knowledge in the field of finance.
More Than An Introduction.......2001-05-28
This one of the few books on high frequency finance is a most welcome to the literature. The book is useful not only for people who are new to the subject but also for researchers in the field since it is a most uniform treatment of many topics. From adaptive data cleaning (chapter 4) to intraday and weekly seasonality (chapter 6) and real time trading models (chapter 11), it covers a broad range of topics specific to high frequency financial time series analysis. Chapters on volatility modeling (Chapter 8), forecasting (chapter 9) and correlation and multivariate risk (chapter 10) are enlightening especially for risk exposure analysis and risk management purposes. Finally, the the extensive bibliography is a precious source for those who would like to explore certain topics in detail. I highly recommend it for practitioners as well as researchers in the field.
Book Description
Introduction to Econometrics has been significantly revised to include new developments in the field. The previous editions of this text were renowned for Maddala's clear exposition and the presentation of concepts in an easily accessible manner.
Features:
* New chapters have been included on panel data analysis, large sample inference and small sample inference
* Chapter 14 Unit Roots and Cointegration has been rewritten to reflect recent developments in the Dickey-Fuller (DF), the Augmented Dickey-Fuller (ADF) tests and the Johansen procedure
* A selection of data sets and the instructor's manual for the book can be found on our web site
Comments on the previous edition:
'Maddala is an outstanding econometrician who has a deep understaning of the use and potential abuse of econometrics...'
'The strengths of the Maddala book are its simplicity, its accessibility and the large number of examples the book contains...'
'The second edition is well written and the chapters are focused and easy to follow from beginning to end. Maddala has an oustanding grasp of the issues, and the level of mathematics and statistics is appropriate as well.'
Customer Reviews:
Give me Matrix Algebra!.......2003-06-02
G.S. Maddala, who held the University Eminent Scholar Professorship in the Department of Economics at Ohio State University, was widely regarded as one of the professions most prolific and influential econometricians of the last forty years. Throughout the 1990s, Maddala was one of most often cited researchers, and he ranked among the top five most cited authors during the years 1988-1994, according to the Social Science Citation Index. His contributions to distributed lags, generalized least squares, panel data, and simultaneous equations have advanced the field tremendously.
Unfortunately, his "Introduction to Econometrics," now in its third edition, is, at best, a mediocre principles textbook. While his explanations of crucial ideas, such as least squares methodology, heteroskedasticity, or autocorrelation, are concise and extremely clear, a student who wants a more rigorous mathematical introduction to econometrics will be searching for another book. Linear algebra, which makes a number of proofs and tests far simpler and less burdensome to follow than calculus, is resigned to pages in the dark recesses of the appendix. Although these incidentals are well written, they remain peripheral, when they should be the focus of any undergraduate econometrics textbook.
To its credit, Maddala's text does an excellent job of explaining concepts and problems in plain English, which would do well to supplement a purely mathematical approach. The book is full of techniques and tricks that might be helpful to reduce problems of serial correlation and heteroskedasticity, and the later chapters do a very good job of introducing students to more advanced topics, such as panel data analysis and vector autoregression. Nevertheless, the book's treatment of time-series analysis is scattered and atrocious, and many students will find themselves searching for other texts especially for information on this area.
For students who do not mind a bit of mathematical simplicity and would rather seek to grasp the general ideas behind linear regression and its difficulties, G.S. Maddala's "Introduction to Econometrics" should be a good read. Yet, for students who want to pursue their knowledge of econometrics further, this book will most likely not be very helpful. As many courses taught at an undergraduate level tend to vary on their level of rigor, it probably will not hurt to have this book, but it may not help.
Very good, but not for everyone.......2001-08-07
I found this book to be a very useful bridge between my undergraduate statistics class and my graduate econometrics class. However, I would not say that it is an ideal first book on econometrics for the beginner. The best features of Maddala's text are: it's integrated treatment of different estimation methods, including least squares, method of moments and maximum likelihood; an appropriate level of mathematical sophistication, with appendices in several chapters deriving the main results using matrix notation; and a comprehensive coverage of important topics in econometrics for an introductory level text. When Greene's graduate text didn't make sense to me on first reading, Maddala really helped to clear things up. It was much better for this purpose than Kennedy's 'A Guide to Econometrics'.
I would have no reservation recommending this book to other readers. It is certainly better that Gujarati's 'Basic Econometrics.' However, I think Wooldridge's 'Introductory Econometrics' is a better choice for the beginner, especially in it's coverage of cross section and panel data and its abundance of examples. Unfortunately, since Maddala passed away before the third edition was completed the last three chapters, including the chapter on panel data, do not contain any exercises.
To sum up: An excellent text overall, with some minor shortcomings.
Critical, good, but sometimes too advanced for beginners.......1997-12-15
This is is a comprehensive and critical treatment of standard and modern econometrics. Its main strength is the presentation of recent developments in econometrics in terms accessible to advanced undergraduates (for instance, cointegration, exogeneity, model selection). However, it is too advanced to be used as a book for beginners.
In sum, I think the book is sometimes too elementary to be used for advanced students, while it was too advanced to be used alone as an introductory textbook. I would recommend using/reading selected chapters (such as ch. 12 on model selection), which are accessible as well as dealing with topics not normally included in many textbooks.
Book Description
KEY MESSAGE: With a goal of encouraging readers to become informed decision-makers,
Introduction to Economic Reasoning, Seventh Edition, provides a non-technical, concise introduction to basic economic theories that is ideal for a short introduction to economics.
Introduction: Scarcity and the Economic System: The Study of Economics; Economic Systems.
Microeconomics: Markets, Prices, and the Role of Competition: Demand and Supply: Price Determination in Competitive Markets; Applications using Demand and Supply; Costs and Decision Making; Price Taking: The Purely Competitive Firm; Price Searching: The Firm with Market Power; Industry Structure and Public Policy; Market Failure.
Macroeconomics: The Economy as a Whole: Measuring Aggregate Performance; Aggregate Demand and Supply: The Model of the Self-Correcting Economy; Fiscal Policy; Money, Banking, and Monetary Policy; The Activist-Nonactivist Debate; Economic Growth: The Importance of the Long Run.
International Economics: Trade, Exchange Rates, and the Role of Trade Agreements: International Trade.
For all readers interested in one-semester economics.
Customer Reviews:
Excellent introduction .......2007-07-08
Dr. Rohlf's text is a wonderful introduction and reference for anyone interested in understanding and applying the fundamentals of microeconomics. Rohlf provides real world discussion of what is usually presented as abstract. This text provides sound basics of strategy analysis.
A Good Economic text which lacks important details........1999-10-15
I would reccomend this textbook for students or someone who is just begining economics. This book is for the most part easy to follow. It gives basic concepts of microeconomics and macroeconomics. However, more pedagogy is needed in some chapters as well as with explanations.
Book Description
This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied in economics, engineering, and the natural and social sciences. The book assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This second edition contains detailed instructions on the use of the new totally windows-based computer package ITSM2000, the student version of which is included with the text. Expanded treatments are also given of several topics treated only briefly in the first edition. These include regression with time series errors, which plays an important role in forecasting and inference, and ARCH and GARCH models, which are widely used for the modeling of financial time series. These models can be fitted using the new version of ITSM. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Additional topics include the Burg and Hannan-Rissanen algorithms, unit roots, the EM algorithm, structural models, generalized state-space models with applications to time series of count data, exponential smoothing, the Holt-Winters and ARAR forecasting algorithms, transfer function models and intervention analysis. Brief introductions are also given to cointegration and to non-linear, continuous-time and long-memory models.
Customer Reviews:
good basic intro.......2006-11-10
A decent basic introduction covering a lot of topics. It's much more accessible for learning the subject for the first time then many other books which pile on the mathematical notation and obscure the actual meaning of things. The accompanying CD is very nice, although it gets annoying very fast that you're restricted to very small dataset sizes---but it does help in learning. The only two things that are somewhat of a problem with this book are 1) many times, rather than clearly stating "here's the algorithm you need to implement", you are referred to 3 or 4 other sections of the book for pieces of the algorithm, often without a clear explanation of exactly how that earlier section is supposed to be worked into the current desired algorithm and 2) there aren't a lot of practical insights as to how to actually initialize many of the algorithms (everything is great if you already know all the parameters in advance but starting from scratch with just raw data isn't dealt with I think as fully as would be useful). All in all, though, the book is helpful and, as I said, very good for learning the essential concepts for the first time.
When is an Introduction not an Introduction?.......2006-11-05
In the process of building a website targeted to those good folks that are striving valiantly to make a living through Internet marketing, you might think that an early objective would be to assemble a library of good reference material. After all, if you are planning on providing sensible information to your readers, then you should have a few good text books on hand to refer to when you need to be sure that some little tidbit of information might actually work. Well, at least I did. So, I have been scouring the Internet for textbook on the subject of Forecasting, which we share a common interest in. I have purchased a few and, for the most part, they are really quite informative and will be useful when the time comes. There is, however, an exception to this.
One book I purchased bears the title "Introduction to Time Series and Forecasting, Brockwell, Peter J and Richard A Davis". Being an intelligent sort of chap, I naturally took the word "Introduction" to mean just that. You know, you've been introduced to people before and becoming introduced usually means that 1. You look at the face. 2. You grasp their hand and shake firmly and 3. You exchange pleasantries, such as "Hello, it's nice to meet you".
Now, I never blame the person making the introduction if the relationship doesn't work out. After all, it's not their fault that two people hopefully sharing a common interest (after all, why bother making an introduction?) aren't all that compatible. There are likely to be many reasons for the incompatibility, the first of which could be that people travel in different circles and your circle isn't ever going to be part of their circle. Sort of an exclusionary relationship, you might say. And, not to be overly judgmental of others, of course, there may be plenty of good reasons for that. If everyone existed in one social circle, after all, the world would be beyond boring.
Anyways, the text book is a wonderful creation, that is, if you're a post-graduate or doctoral candidate. Upon opening the cover, expecting to be warmly introduced, I was rather amazed at the depth of equations and formulas gracing practically every page. I felt intimidated immediately. Remember the movie "The Ring"? This had to be rocket science, or more correctly, forecasting science at its most extreme! Wow! I should have really paid more attention during my statistics classes. So, I quickly closed the cover and tried to get a refund from the seller. Note the word Tried here. They didn't want it back either.
The good Post-Grand and PhD. candidates of the science of forecasting probably don't need an "Introduction" to Time Series and Forecasting. Next time I buy a book, I think I'll look for something with "Sandbox" in the title.
May all your Forecasts be Good Forecasts at [...]
Awesome.......2006-08-04
this book is excellent because it provides us with many examples and detailed explanations.
Not sure if it is introductory.......2005-12-24
I think the book is not written in a very organized way. It's not a book for picking up time series quickly. It's saturated with information, which I'm not sure if it's necessary for implementation. I have no problem following the math, however, if I want to pick up something and implement it within a day or two, the book is a bit harder to digest. Wouldn't think this is an undergraduate course book as it covers convergence in probability or mean-squared, which I learnt in PhD courses, not even master level.
Great book for a great price.......2004-02-12
This is one of those books that you can't find much cons to it. The book is inexpensive, and it's unbelievably lightweight. The material is rich, and yet easy to understand. The author actually brings you step by step from elementary to theorectical proofs.
Book Description
Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata. As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming. Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.
Customer Reviews:
good crash intro to necessary STATA commands.......2007-05-14
This book gives a good overview of some of the commands one would need to do regression analysis with STATA. I needed something to give me a quick intro to STATA and this book has helped me a lot. Howver, just like MS Excel, STATA has tons of commands that I probably will never touch!
much cheaper from stata-press website.......2007-01-27
Not a review, sorry, but a tip for potential purchasers:
This book is much cheaper from stata-press dot com.
Book Description
This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. The models covered include vector autoregressive, cointegrated, vector autoregressive moving average, multivariate ARCH and periodic processes as well as dynamic simultaneous equations and state space models. Least squares, maximum likelihood, and Bayesian methods are considered for estimating these models. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Causality analysis, impulse response analysis and innovation accounting are presented as tools for structural analysis.
The book is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on it. Applied researchers involved in analyzing multiple time series may benefit from the book as it provides the background and tools for their tasks. It bridges the gap to the difficult technical literature on the topic.
Book Description
An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method.
*The first book to present a unified view of filtering techniques
*Concentrates on exactly what wavelets analysis and filtering methods in general can reveal about a time series
*Provides easy access to a wide spectrum of parametric and non-parametric filtering methods
Customer Reviews:
The Guide.......2001-12-24
Various types of non-stationarities are common in time series data from financial markets. This requires a guide for selecting among numerous tools to deal with the non-stationarity. A unified treatment of filters like this book is a great help since it provides a fast and rigorous introduction.
Chapter 2 is on the general linear filtering theory with cleverly designed applications for illustrative purposes. "Optimum Linear Estimation" is the focus of Chapter 3 in which the Wiener Filter and the Kalman Filters among others are studied. Chapter 4 is on Discrete Wavelet Transforms and provides applications like filtering intraday seasonality in FX market and an examination of the relation between money growth and inflation. Long memory processes with seasonal components are analyzed using wavelets in Chapter 5. Denoising of economics and financial time series is the topic of Chapter 6. The decomposition of variance across different frequency bands as well as the cross-covariance between two time-series at different scales is covered in Chapter 7. Finally, Chapter 8 is on artificial neural networks in which both an introduction to the concept and some design issues with appropriate model selection criteria are provided.
Discussison of these relatively advanced topics is very simple and clear without sacrificing important details. Highly recommended.
Easy to understand!.......2001-10-27
The book is a wonderful reference in that it brings together various filtering methods. It is an excellent introduction to the topic, clearly written and easy to understand. The text does not assume a high-level math background. Further, unlike the various books which simply provide the theory but include very few or no applications at all, this book by Gencay, Selcuk, and Whitcher has many applications that help you get the right picture.
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