Book Description
Gain the statistical tools and techniques you need to understand today's financial markets with the Second Edition of this critically acclaimed book.
Youll find a comprehensive and systematic introduction to financial econometric models and their applications in modeling and predicting financial time series data. This edition continues to emphasize empirical financial data and focuses on real-world examples. Youll master key aspects of financial time series, including volatility modeling, neural network applications, market microstructure and high-frequency financial data, continuous-time models and Ito's Lemma, Value at Risk, multiple returns analysis, financial factor models, and econometric modeling via computation-intensive methods.
This is an ideal textbook for MBA students and a key reference for researchers and professionals in business and finance. Order your copy today.
Download Description
Analysis of Financial Time Series, Second Edition provides a comprehensive and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics: analysis and application of univariate financial time series; the return series of multiple assets; and Bayesian inference in finance methods.
Customer Reviews:
Excellent and detailed reference.......2007-05-03
The coverage of the topic is broad and deep. It is one of the few introductory books that devotes some space to transfer function modeling and does so intelligibly.
A must have for the novice as well as those more familiar with the topic that need a solid reference.
The best for Masters level, great all-around.......2007-02-12
This text is absolutely perfect for Masters students learning financial econometrics. There is a little theory, clear explanations, and quite a few real world examples. (I don't think any text would tell the reader what model to use when, because that's application-specific.) It assumes some knowledge of finance and basic econometrics/statistics, which is fair enough. To get more theory, Hamilton (1994) remains the authority, and Campbell, Lo, MacKinlay (1997) is a great introduction for PhD students, and generally an ideal companion volume to this one.
Excellent reference!.......2006-11-05
This book is an excellent toolbox for anyove dealing in the field of financial engineering, however, as a real toolbox, the author doesn't explain the exact use of all tools and how to interpret the results. This is why this book is for advanced users who need a well documented reference but it is not very suitable for beginners in the field. The Splus code is welcome.
Broad coverage, but not for the faint-hearted.......2006-07-05
Written by a University of Chicago professor, this book comprehensively covers times series topics relative to investment and trading-oriented finance (i.e., Wall Street money-making machines). Treatment is generally clear and thorough, but an advanced math and stat background is an absolute prerequisite for understanding the materials.
S-Plus/R code is given, but strangely, there is very little on *why* and
*when* one uses each of the techniques. Under what cirmcustances should I use or not use GARCH? What exactly is PCA good for in real-world applications? These important questions are not answered, in other words, you don't get a sense of the real-world context for these topics.
Best textbook I have ever read .......2005-09-19
First of all, it is well written in a very practical point of view. The whole book is aimed fullly to real financial data(appended in the author's web). People can gain not only the well-explained theories but the hand-on experience with data analysis using SPLUS or any other package.
Secondly, the author is a real expert in this field and has been publishing lots of nice work. All models in the book are clearly illustrated and commented.
Thirdly, it covers a lot of topics in analysis of FT. Reader can learn almost all the valuable things in this field from this book.
If anyone wanna truly learn this book, she/he has to sit down and plays some real data on computer. I think this is the best way and the only way to use this book.
Book Description
This introduction to statistics emphasizes inference; data collection and analysis are covered extensively as needed to evaluate the reported results of statstical studies and to make good business decisions.
Stresses the development of statistical thinking—the assessment of credibility and value of the inferences made from data—both by those who consume and those who produce the information. Provides numerous case studies, examples, and exercises that all draw on real business situations and recent economic events. Includes Excel computer printouts (with PHStat add-in) as well as SPSS and MINITAB printouts (SAS and STATISTIX dropped).
A useful reference for business professionals who need to brush up on their statistics knowledge.
Customer Reviews:
Used in MBA program - Intro to Stats.......2006-04-06
I did not have much statistics background while in undergrad or through my job experiences and found this book to be quite easy to understand. The problems at the end of the chapters were quite useful in that they seemed applicable to the real world. I thought the most useful section was on regression so if you are interested in learning about that topic, this textbook is quite useful.
good book with good cases.......2005-04-25
Very good text book with very useful and practical real cases, which make the boring theory interesting. I think it is very useful for my job and daily life.
Effective text for students and anyone wanting to brush up.......2004-10-26
This is a very readable and useable text for undergraduates, business students, and general readers who want to learn or brush-up on basic statistics. There is a tremendous amount of information in its 1200 pages, but it is well laid out, amply illustrated, with lots of practical work. The answers to the odd numbered questions are provided in the back to aid self-study. There are several appendices that provide important tables and the methods for calculating important statistical formulas. The index is also quite helpful.
I think the book has a good balance of the technical with the practical. It is easy on the eyes and though statistics necessitates the use of a significant amount of math, it is well explained and never overwhelms the reader.
Book Description
Monte Carlo simulation has become an essential tool in the pricing of derivative securities and in risk management. These applications have, in turn, stimulated research into new Monte Carlo methods and renewed interest in some older techniques.
This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special topics: estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios.
The most important prerequisite is familiarity with the mathematical tools used to specify and analyze continuous-time models in finance, in particular the key ideas of stochastic calculus. Prior exposure to the basic principles of option pricing is useful but not essential.
The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation, and practitioners implementing models in industry.
Mathematical Reviews, 2004: "... this book is very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context."
Customer Reviews:
Review for Monte Carlo Methods... by P. Glasserman.......2007-07-16
The book is just right for a reader who is looking for state-of-the-art techniques in Monte-Carlo methods in general. The fact that the book is specific to financial systems does not limit the usability of the book in the manner it is written. There are a lots of useful references one can get out of this book.
The book is for advanced readers in the sense that it requires rigorous mathematical ability to understand all the concepts. It is by no means for a novice reader and requires background in computational mathematics.
Best financial engineering book on MC.......2007-06-29
This is like the bible of Monte Carlo methods in financing. Both a good read and a good reference book. Must have! for any quant on wall street.
good book on Monte Carlo in Finance.......2007-04-02
But it seems the author is a little focused on selling his ideas, but not a very subjective overview of all topics in M-C method in finance.
Excelent choice on finance Monte Carlo.......2007-03-08
Clear and sound theoretical background on applied Monte Carlo for finance.
Brilliant.......2006-12-26
Almost everything related to Monte Carlo in Financial Engineering is covered at just the right level of detail. Quite easy to read too.
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
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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
Finance is one of the fastest growing areas in the modern banking and corporate world. This, together with the sophistication of modern financial products, provides a rapidly growing impetus for new mathematical models and modern mathematical methods. Indeed, the area is an expanding source for novel and relevant "real-world" mathematics. In this book, the authors describe the modeling of financial derivative products from an applied mathematician's viewpoint, from modeling to analysis to elementary computation. The authors present a unified approach to modeling derivative products as partial differential equations, using numerical solutions where appropriate. The authors assume some mathematical background, but provide clear explanations for material beyond elementary calculus, probability, and algebra. This volume will become the standard introduction for advanced undergraduate students to this exciting new field.
Customer Reviews:
Good Buy.......2007-08-29
maps one to one with many chapters in Hull. more elaborate derivations than Hull. Fixed income area treatment is very slim though. Good Buy for the Price.
Okay but not an introduction.......2006-07-31
If you want an introduction, read another book like Hull. If you want to learn how to apply Partial Differential Equations (PDEs) approach to finance then it is a useful book. However, it is better to read an elementary PDEs book before reading this book. At least, learn how to solve parabolic PDEs analytically because the technical notes in the book would not help much.
Introduction to partial differential equations in finance.......2005-10-13
This book treats only the partial differential equations
in Finance and how to treat them using Finite Differences
and Tree. For this purpose it is very well written and
understandable. A very good beginning for student. Even
undergraduate.
Now after reading it you should understand the martingales reading the baxter and how to implement Monte Carlo using, for example Glasserman (see my reviews)
A good introduction to the PDE approach.......2005-10-10
Contrary to what many readers believe, this book explains the pricing of derivatives much better than Hull. Hull gives an overview of the mechanics and properties of the derivative pricing industry, along with its pricing methodologies, and this book provides an in depth method to one of the pricing methods.
Financial derivatives can be priced by a wide range of methodologies, among some the elegant equivalent martingale measure approach (or risk-neutral pricing), replication, multinomial tree approximation, Monte Carlo simulation, partial differential equations etc etc.
This book gives an excellent introduction, and an insight to the PDE approach. Although being a big fan of the Girsanov-change-of-measure method myself, these analytical methods often fail in the valuation of highly complex derivatives like the exotics. Pricing americans prove to be hard and inefficient too, even with simulation and the risk-neutral approach.
This is where PDE methods come in. Since most derivatives (or term structures) have a PDE describing its evolution, solving the PDE seems to be a good (or sometimes the best) way, no matter how complex the derivative can get. PDEs on the other hand, have very robust and easy methods for solving. Therefore, this book brings the reader through basic PDE solving methods, analytical solutions, techniques for fast and efficient numerical approximations as well as rigorous technical explanations for some of the mathematics of partial differential equations (which arise in the financial industry).
The authors are famous for their research in the field of Industrial and Applied Mathematics, and this book continues to be a classic for undergraduates in mathematics in Oxford. If you want to have an overview of the pde approach to option valuation, without the hassle of learning up Radon-Nikodým and martingales, I highly recommend this book!
waste of time.......2005-03-10
This book is very bad, lacks almost everything you can think of, but if you don't know any better you probably won't care. It certainly needs to be supplemented by a respectable book if you want to learn derivatives (c.f. Hull's textbook, for example), and on the other hand, the math isn't rigorous at all, so you'll need a book on stochastic calculus (e.g. Michael Steele's, actually there are tons of better books out there, it's not hard to find better).
Average customer rating:
- Against The Gods, a highly recommended book for MBA
- So Close to Wonderful
- Unpretentious and pleasant
- Are you risk-seeker or risk-averse?
- A remarkable rational attitude against rational Gods
|
Against the Gods: The Remarkable Story of Risk
Peter L. Bernstein
Manufacturer: Wiley
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ASIN: 0471121045 |
Amazon.com
With the stock market breaking records almost daily, leaving longtime market analysts shaking their heads and revising their forecasts, a study of the concept of risk seems quite timely. Peter Bernstein has written a comprehensive history of man's efforts to understand risk and probability, beginning with early gamblers in ancient Greece, continuing through the 17th-century French mathematicians Pascal and Fermat and up to modern chaos theory. Along the way he demonstrates that understanding risk underlies everything from game theory to bridge-building to winemaking.
Book Description
A Business Week, New York Times Business, and USA Today Bestseller
"Ambitious and readable . . . an engaging introduction to the oddsmakers, whom Bernstein regards as true humanists helping to release mankind from the choke holds of superstition and fatalism." -The New York Times
"An extraordinarily entertaining and informative book." -The Wall Street Journal
"A lively panoramic book . . . Against the Gods sets up an ambitious premise and then delivers on it." -Business Week
"Deserves to be, and surely will be, widely read." -The Economist
"[A] challenging book, one that may change forever the way people think about the world." -Worth
"No one else could have written a book of such central importance with so much charm and excitement." -Robert Heilbroner author, The Worldly Philosophers
"With his wonderful knowledge of the history and current manifestations of risk, Peter Bernstein brings us Against the Gods. Nothing like it will come out of the financial world this year or ever. I speak carefully: no one should miss it." -John Kenneth Galbraith Professor of Economics Emeritus, Harvard University
In this unique exploration of the role of risk in our society, Peter Bernstein argues that the notion of bringing risk under control is one of the central ideas that distinguishes modern times from the distant past. Against the Gods chronicles the remarkable intellectual adventure that liberated humanity from oracles and soothsayers by means of the powerful tools of risk management that are available to us today.
"An extremely readable history of risk." -Barron's
"Fascinating . . . this challenging volume will help you understand the uncertainties that every investor must face." -Money
"A singular achievement." -Times Literary Supplement
"There's a growing market for savants who can render the recondite intelligibly-witness Stephen Jay Gould (natural history), Oliver Sacks (disease), Richard Dawkins (heredity), James Gleick (physics), Paul Krugman (economics)-and Bernstein would mingle well in their company." -The Australian
Customer Reviews:
Against The Gods, a highly recommended book for MBA.......2007-09-18
The reason that I bought this book was because it was highly recommended by the teachers at my MBA class.
They were not kidding, from head to toe its very good and kept my attention till the end. It has been of great help to me. Aside the history content it helps you to think on how to mitigate risk and how improve the opportunities.
So Close to Wonderful.......2007-08-14
Bernstein does an adequate job bringing the concepts together, but this is not a page-turner. I found myself reading on for the promise of insight, and he offers some, but the writing is a bit dull.
Unpretentious and pleasant.......2007-07-10
Bernstein is an interesting writer since he is the consummate finance insider- a practioner, regulator and academic. This range helps and harms the book - in his efforts to render the history of risk, he delves into anecdotal caricatures while amusing definitely smack of basis risk with the underlying ideas that are provocative enough! I found the behavioural finance and derivatives section to be rather basic but then realised the book was written in 1996. It's a pleasant read but a more pragmatic introduction to probability is the infinitely witty Cartoon Guide to Statistics.
Are you risk-seeker or risk-averse?.......2007-07-01
According to this book you are both, it only depends on the point of view that is presented. I enjoy the book from the beginning to end, especially the last three chapters. The history and analysis of rational behavior is enlightening, to anyone who has ever thought about the process of decision.
A remarkable rational attitude against rational Gods.......2007-05-16
2 crucial ponits in this book:
1.Sociological: Bernstein describes how risk was first imagined as an essentially modern cultural form and significantly operationalized in early mercantile capitalist shipping, where individual losses in rapidly expanding global trade become large enough to encourage their socialization in insurance arranegemnts. This book implies some viable if crude forms measurement and scaling of risk. In his narrative, risk was there waiting to be discovered, carrying its own intrinsic meaning, which the visionaries, through their heroic powers of access to msteries of Nature, were able to reveal to men of commerce and others who could then drive the economic, cultural and technological revolution of modernity. We can note from this account of risk how an implicit normative framework`and a claim of control are advanced as defining features of this new state`of enlightenment. It is this scientific risk discourse which gives total control`of `the future at the service of the present', the implication being that risk`analysis identifies and domesticates all significant future consequences of the`relevant actions. In this way ignorance and unanticipated consequences - lack`of control - lying beyond the reach of existing scientific knowledge, thus`potentially embarrassing in future to risk assessment, are seamlessly deleted.`Risk is thus assumed to define the full sphere of conceivable meaning for considering`new technologies and their implications, and science reveals this`independent meaning. (Reference, Wynne:Reflexivity inside out?)
2. Historical: While it is apparent to historians that both Khayyam and Kharazmi were Persian thinkers, the author in keen to be selective inattentive to this fact such that he argues the system of numbers were imported from Arab world to West whereas it was firstly introduced to Arabs at the time Persia was invaded by them. Hence the author's historic mind-set starts from 12th Century while long before which is 500 B.C. risk used to be engineered among Persians. (Reference, Channel History-Engineering an Empire: Persia)
Book Description
In today's increasingly competitive financial world, successful risk management, portfolio management, and financial structuring demand more than up-to-date financial know-how. They also call for quantitative expertise, including the ability to effectively apply mathematical modeling tools and techniques. An Introduction to Credit Risk Modeling supplies both the bricks and the mortar of risk management. In a gentle and concise lecture-note style, it introduces the fundamentals of credit risk management, provides a broad treatment of the related modeling theory and methods, and explores their application to credit portfolio securitization, credit risk in a trading portfolio, and credit derivatives risk. The presentation is thorough but refreshingly accessible, foregoing unnecessary technical details yet remaining mathematically precise. Whether you are a risk manager looking for a more quantitative approach to credit risk or you are planning a move from the academic arena to a career in professional credit risk management, An Introduction to Credit Risk Modeling is the book you've been looking for. It will bring you quickly up to speed with information needed to resolve the questions and quandaries encountered in practice.
Customer Reviews:
read this before going for it.......2007-04-23
Well first off I would like to tell anyone who doesn't have a solid working knowledge of calculus (including multivariate) to avoid this book as it requires multiple integrals and infinite series and sequences. Now onto the good and the bad:
THE GOOD:
This text explains concepts very well and is FULL of examples. I mean literally 3/4 of the book, maybe more, is examples. Every chapter also has a section of problems that have partial solutions, which can come in very handy. This is pretty much all that is good about this text, but keep in mind that explaination is the most important part of any textbook.
THE BAD:
The proofs skip plenty of steps. And I mean plenty, so much that a proof in the book would take 5 lines but when my professor proved it in class it would take him nearly 15. Also while there are tonnes of examples, too many are theoretical and very hard. The book costs a hefty amount of change and is suprisingly small, Author couldl have given few more examples to make it interesting. However the worst thing about this book is how the author leaves important things in with the text often. However most these things are small, and overall the text is a good intro to probability theory.
a very good book.......2006-10-31
The authors wanted to write the book that they themselves would have liked to read before starting a profession in risk management. I am working for a treasury consultancy firm. This book was the best of the five I bought. The text is very clear yet does not assume too much prior knowledge. It covers theory as well as industry practice. The book contains much advanced statistics and readers must have some background in order to handle this. The authors keep it simple but not too simple. Their approach is pragmatic throughout. I am really happy to have read this book when I started doing work in credit risk management.
good combination of math and finance.......2006-02-22
As indicated on the back of the book, the authors are aiming at audience who have some knowledge in both math and finance but may be weak in one and strong in another. Either way, this is a good book to read on credit risk.
Clear and comprehensive.......2005-10-27
This book clearly articulates basic concepts of credit risk modeling. At the same time it is mathematically rigorous. This book enables non mathematician with some (basic) knowledge in probability statistic to better understand and develop his risk management skills.
A good read!.......2004-08-19
Easy to understand with not a tremendous amount of complicated math to dicipher. Just what the doctor ordered.
Average customer rating:
- Role-Models for Would-Be Millionaires
- Not Quite Stanley's Best, But Well Worth A Read, Nonetheless
- Very Interesting Book
- If you've got the Money, Honey---I got the Time.
- Statistics for women
|
Millionaire Women Next Door: The Many Journeys of Successful American Businesswomen
Thomas J. Stanley
Manufacturer: Andrews McMeel Publishing
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Release Date: 2004-05-24 |
Book Description
Eight years ago, Dr. Thomas J. Stanley swept aside the mythical magic curtain of wealth to reveal The Millionaire Next Door. America found out just who and how common the truly wealthy were in this country¿and we learned the characteristics and habits that made them so. Now the author of the follow-up The Millionaire Mind focuses on one of the least understood but increasingly rich demographics: Millionaire Women Next Door.¿Why write another book that profiles millionaires?¿ Stanley asks. ¿The vast majority of the millionaire respondents (92 percent) in The Millionaire Next Door were men. . . . I felt that it was indeed time for successful businesswomen of the self-made variety to be heard.¿ And heard they are in this book that is destined to become every bit as informative, quoted, and inspirational as the author¿s earlier works. Readers everywhere will be fascinated by Stanley¿s thoroughly researched findings and conclusions. More than a simple extension of his studies of male millionaires, Millionaire Women Next Door presents groundbreaking concepts involving the nature, lifestyle, and business choices of successful American women that reach far beyond the scope of the author¿s previous studies. The book examines the choice of businesses elected by self-employed women, ranking over 150 categories in terms of their profitability and probability of success. It also describes the women¿s background, highlighting the fact that most millionaire women were raised in nurturing family environments that were literally training grounds for success, instilling the values that make this group one of the most generous in American society as demonstrated by its level of giving to charities, family, and friends. While many characteristics such as frugality and simplicity of lifestyle are similar to those of their male counterparts, Stanley demonstrates that most millionaire women work harder and do better¿at school, in business, and in investment practices. Millionaire Women is sure to be one of the most read, reviewed, and discussed books to come out this year. Make your own wise investment for a wealth of solid sales.
Customer Reviews:
Role-Models for Would-Be Millionaires.......2007-08-09
Question: What's the one thing a woman can do for herself if she wants to be a successful businesswoman or a millionaiare?
Answer: Find a role-model, and emulate the things she does.
Thanks to Thomas Stanley, women don't have to network to find the mentor they need. They'll be able to find her right in the pages of this book.
With abundant statistics and case profiles, Stanley presents us with successful women from varied backgrounds, and shows us exactly how they did it.
The book is rich with details, and focuses on the "5-W's" (of good journalism):
WHO these women are.
WHAT they do and how they decided to do it.
WHEN they made the decisions that propelled them to success.
WHERE they live and work, and come from.
WHY they are so successful.
Recommended reference to keep in your "how to succeed" library.
Not Quite Stanley's Best, But Well Worth A Read, Nonetheless.......2007-05-20
I just finished reading this book after picking it up at a bookstore about five days ago. I read from it every chance I got, and though on the one hand, I have to agree with those readers who pointed out that the book was tough going at times, on the other hand, I also have to agree with other readers who had very good things to say about the book, as the favorable reviews are well deserved. First I will cite the bad about the book, and then I will cite the good.
First the bad. The book appears to rely heavily upon convenience sampling and voluntary response. The author seems to have shared mostly only those stories sent to him, or more plainly, that just fell into his lap. Second, like his two other millionaire books, the author uses the book as a platform to share with us the things he values, and appears only to look for that information or evidence which supports his values, never once addressing information that contradicts his position. Third, in keeping with the standard paradigm of women = victim and male = (opportunistic) victimizer, (which always plays well to the target demographic of the book), the author's attempt to make out this group of women as selfless, do-gooding heroines was a bit overdone. The millionaire women are seen as generous and charitable as a group, and the millionaire men are portrayed as heartless misers who penny-pinch at every turn. I felt especially incensed when Stanley went out of his way to make excuses for some millionaire womens' poor choices in mates- the so-called 'Marginal Bobs' (the book titled, Smart Women, Stupid Choices, comes readily to mind for some peculiar reason). By association, if some of the men made poor choices in terms of mates, would they too be given sympathy and generous excuses, or are we to believe that they deserve what they get?
And now the good. Aside from the obvious attempts to play to the book's target audience (middle class, educated wage-earning women) and attempts bordering on the egregious to trumpet the merits of personal financial planners of various stripes, the book did have quite a few good points about it. We learn that if we divide the millionaire women into two groups, those that give the most to charitable causes tend to have lower annual earned incomes and higher net worth. These women tend to give just for the joy of giving, and seek to make the world they live in a better place. Many people took issue with the inclusion of a chapter about a dyslexic man who did good; however, I think the point of the chapter was to show that even those with identifiable disabilities can become millionaires, be they male or female, so long as they play to their strengths, live below their means, save and invest, avoid a lifestyle centered around consumption, and most of all, have a source of thoughtful, intelligent mentoring available to them. Readers that read the book carefully will glean some powerful information from this book, such as the following: 1) you can not change the past, but you have considerable control over your future, 2) those who are professional, service-oriented and customer-focused will always beat the competition, 3) it pays to play to your native strengths, 4) great investors are not born, they are made through trial and error, so go ahead and make a few mistakes, and 5) most important, limit borrowing only to those things that generate a realizable (net) income- a lesson all of those would-be real estate moguls and Robert Kiyosaki mimics would do very, very well to keep in mind.
In passing, I did not think that it was appropriate for Stanley to profile two college professors in his chapter on wealthy educators, simply because in order to become a college professor, one has to spend, at last count, a minimum of at least seven years beyond the Bachelor's degree to receive a doctorate. These days, most places won't allow you to teach on the faculty without a PhD, and more than a few people on faculties do not get tenure. In my mind, it would have been better for him to profile a wealthy elementary or high school teacher, as this is a goal that is more attainable for most readers. Still, I got a good kick out of his story of the matronly professor who touched the lives of so many deserving students.
In sum, I found the book to be a very worthwhile read. Though many would dismiss the book's more important contents as common sense, it is hard to believe that many people still don't get it. Readers should keep in mind that it all comes down to the choices we make, and take special care not to equate one's net worth with one's self worth, a trap too many Stanley devotees tend to fall into. I still contend that ongoing investments in one's health and continuing education will lead to satisfying increases in one's wealth.
Very Interesting Book.......2006-12-31
When I read The Millionaire Next Door, I was intrigued. However, I was left yearning for similar information regarding women. Well, I found it in this book. It was very interesting to read statistical information about successful women.
If you've got the Money, Honey---I got the Time........2006-11-12
Or, "How I learned to LOVE pinching pennies & clipping coupons!"
Now there's a title to stir the very hottest of boiler-fires in this coldest of Bounders, oh yes: "Millionaire Women Next Door"! Yummy! The title conjures up visions of 90-something tottering dowagers, having crumb-cake brought to them on silver platters by decrepit butlers, toddling about the mahogany-panelled passages of O Altitudo, shepherded by manservants and maids from Library to Sunroom to Palatial Dining Hall to the Rolls-Royce (gassed-up & ready to rumble by the handy valet) for the Sunday drive in the country.
Think of it: a ninety-something bat with the ferocious desire to rut like a crazed Gambian Howler Monkey, a creature with a very weak ticker, a short life-span, millions of dividend-paying bluechips and tax-free muni bonds piled up in her hoard, and me---first in line in her will!
Or even a chummier prospect: the Millionaire Woman Next Door who primped, nipped, tucked, & aerobicycled her way to bodily perfection, all of 35, hooked up with some venerable drooling Texas Oil Tycoon-Geezer, waited for him to drop, and now is positively rolling in the Shekkels and ready to party!
Alas, those fragrant, lustrous visions are for another writer and another book: this is a Thomas Stanley tome, Stanley being the scholarly fellow who pulled back the frayed shower-curtain on America's eremite wealthy only to reveal that mysterious class wasn't comprised of Robber Barons pulling their 500-foot nuclear powered megayachts into Mediterranean Ports, oh nosirree: they were plain folk, Good Reader, just like you and me!
Only they saved, live frugal lives, clipped coupons, ate catfood from a tin, scrounged, skimped, pinched the pennies until the Little Coppery Abrahams screamed in pain, maybe even splurged every 3 months on a 1-course meal at Mickey D's for the entire clan!
And, of course, according to Stanley and his prodigious stack of statistical data that suggest---no, confirm---that the meet may not inherit the Earth, no sirree, but the skinflints sure as Hell will---they'll die loaded.
I'm not going to parse or quibble with Stanley's research: coming myself from degenerate, somewhat deranged Southern stock, I've seen, firsthand, accounts of miserliness, weal, and grasping avarice that would chill the blood.
I have an Aunt who would hook up with her (loaded) buddy, and the two biddies would have Thanksgiving Dinner at the local homeless shelter. Hey, it was a cheap meal, no doubt.
But is that any way to live? Is it worth it to you, to spend your fleeting hours scrimping and scrounging, fretting over every penny, so you can die loaded? And so, once you give up this mortal coil and your wizened soul speeds Valhalla-ward, your spoiled, nasty little nephew, the only creature left alive mentioned in your will, inherits all your booty, and proceeds to blow the entire stack on a civilian super-submarine---I mean, what's the point?
I was hoping with "Millionaire Women" Stanley would let his hair down, get all "Shaft" with us, maybe talk a little bit about Divorce, the single greatest gender-to-gender (ie, poor hapless dudes to merciless chicks) wealth transfer ever invented in the history of the world. The Big D, an easy con to pull off, and pulled off every day: Woman sinks her claws & pinions, parasite-like, into a Hapless Man, catapults out a few nasty brats so he's bound to her for Eternity, then Lawyers up and pirates his loot. Works like a charm.
But no such luck: we're spoiled even that much of a Dickensian romp.
So if you insist on looking here, know this: Stanley's 'blockbuster' first book, "The Millionaire Next Door", was all about America's truly wealthy: Stingy Dudes.
To cut to the chase, "Millionaire Women" is the same disc, spinning backwards, without even a few Satanic Verses---to wit: Stingy Chicks.
Unless you're looking for a real blue-light special, avoid.
JSG
Statistics for women.......2006-07-31
I thought this book was a great read, based on the power of the statistics alone. Lots of great information about profitable women- owned businesses, as well as hearing the stories from the women who made it themselves.
Book Description
Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stochastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes.
This book is being published in two volumes. The first volume presents the binomial asset-pricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuous-time theory in the second volume.
Chapter summaries and detailed illustrations are included. Classroom tested exercises conclude every chapter. Some of these extend the theory and others are drawn from practical problems in quantitative finance.
Advanced undergraduates and Masters level students in mathematical finance and financial engineering will find this book useful.
Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.
Customer Reviews:
Good book.......2007-10-01
I agree that most concepts are clearly explained....emphasis on *most*. OK, I'll nitpick. And I admit I'm nitpicking. For example, the proof of Jensen's inequality (which he oddly dives into without defining convex functions), is rather non-intuitive, and seems to be more an appeal to the accompanying picture rather than a proof. The proof given under the Wikipedia entry for "Jensen's Inequality" is much clearer, and makes much more sense, at least to my way of thinking. Other than the occassional gaffe such as this, it is a highly readable, informative, and dare I say enjoyable text!
Nice book.......2007-03-08
I think its a very good book for fundamental concepts in stocastic calculus.
Good for finanical mathematics graduates.......2007-01-10
clear explanations on binomial models for European and American options. Abstract concepts also included such as change of measures, martingales, stopping times. Proofs in book assumed no knowledge on sigma fields or measure theory.
Very good to understand the basics of pricing-theory........2006-03-04
This book is great book about theory. Using a simple binomial tree as asset evolution model, all key notions are introduced. Neutral-risk probabilities come up in a simple, natural way, and I never found such a clear explanation of the the change of measure and its meaning in finances. Examples help to understand every ussue.
The only case in which you should not buy it: if you are looking for real-market instruments and techniques.
Interesting Read.......2006-02-17
I found this book to be a very interesting and fun read. A very helpful introduction to binomimal models and basic stopping time principals. It also provides a great refresher to Martingale principals. If you are having trouble with Shreve's volume II then have a look at this book first.
Average customer rating:
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