Market-prices
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Gloom and Doom
A realistic wake-up call to the "Boomer" generation!
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Waste of time and moneyThe book begins by describing the unit commitment problem, referencing a total of 9 journal articles (Page 9), but skipping most of the important references in this area. It is strange to discuss unit commitment (in a book) without mentioning the original work of Muckstadt and Koenig (1977), Merlin and Sandrin (1983), or that of Zhuang and Galiana (1988), to name a few. The authors quickly discount all previous work as being inadequate as it does not handle many of the important elements of a system (leading you to believe that they are going to discuss these issues), such as network constraints or losses. I suggest that they refer to "The Generalized Unit Commitment Problem" by Baldick, IEEE Transactions on Power Systems, 1995, for a discussion on this subject. I also strongly recommend that Mr. Allen and Ms. Ilic obtain a copy of (the outdated) "Unit Commitment Literature Synopsis" by Sheble and Fahd, IEEE Transactions on Power Systems, 1994. It may serve as a starter on this subject. The most impressive aspect of this book is its depth, or lack there of. The authors manage to provide their deep knowledge of the unit commitment problem and its solution techniques in less than 5 pages.
Chapter 3 describes the unit commitment in a deregulated environment in the most simplistic fashion possible (indicating the authors' lack of any true experience in this business) resulting in six pages of basic material. In chapter 4, the reader is presented with a pathetic review of dynamic programming. Chapter 5 is even more interesting. The authors assume a known price process in the market and optimize each individual generating unit based on these prices. They discuss (in less than 7 pages) the use of dynamic programming to solve the unit commitment (in reality a single generator) with and without generation limits using normal and lognormal price distributions. For those of us teaching dynamic programming to senior or master level students, the three models could serve as a homework assignment. If you are a "quant" on the trading floor, you may want to derive these formulas during your lunch hour.
Chapter 6 is entitled "Price Process of Electricity". Thanks to the statisticians of this world, the reader is bombarded with endless tests and distributions describing electricity prices. The authors skillfully demonstrate their ability to use Matlab to draw a large number of graphs.
I must admit that I stopped reading when I reached Chapter 7 "Computational Complexity of the Unit Commitment". The authors say that the dynamic programming is widely used for solving stochastic optimization problems "however, it also has the disadvantage of non-polynomial (NP) growth of operation count with respect to problem size." They refer the reader to the book by Bertsekas on Dynamic Programming and Optimal Control. The authors abruptly shy away from discussing this subject. Given the depth of the book, I would have expected a proof showing that the problem being discussed (the unit commitment) is NP. It is not sufficient to say that their formulation suffers from exponential growth. If the matter is so simple, I have several problems that I modeled as dynamic programs and would like to claim that they are NP (including a couple of linear programs that I solved using dynamic programming as I was lazy to call the LP solver).
In summary, the book is a waste of time and money. It is a sad demonstration of how tenure and graduation pressure can lead people to publish garbage. If you need to learn about this subject, I suggest searching the web for articles related to deregulation. Then, you can buy Bertsekas's book (or refer to your notes from college), use your good old Schaum's Series on statistics, and derive the results that truly fit your problem.
SophistryFor those who are already familiar with the symbols, see the review by the reader from Yonkers.
Review
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misleading title
A Complete Insight Into Trading With Crowd PsychologySo says Carl Gyllenram, author of "Trading With Crowd Psychology," a book that claims market analysis is more behavioral science than anything else. While allowing that economic information and fundamental changes produce major market shifts, he believes that the conformist (and predictable) behavior of market participants -- the crowd -- is what usually drives price action.
Some traders and investors react late to changes in the market because they rely solely on fundamental and economic information available to everyone else. Others may use use technical analysis -- but end up trading off of conflicting indicators and/or stereotyped chart patterns.
Chart patterns are "people patterns," says Gyllenram, reflecting the behavior of everyone buying and selling in the markets. A successful technician understands the psychological dynamic (hesitancy? panic? resignation?) at play within these patterns, most all of which, he maintains, are simply variations of a trading range. Markets most often move laterally, with little significant price movement up or down.
An intuitive feel for market psychology helps the trader or investor understand how these trading ranges are structured.
Of particular interest to me were "balance points" -- those price levels at or near the top and bottom of a trading range that serve to predict a powerful price breakout. "You can never be sure," he says, "when a range will be broken or what direction a breakout will take. But trading with an understanding of crowd psychology and the ability to identify balance points certainly increases your odds. The important message you need to be able to read in a chart is when a clear change of the psychology is taking place. You must understand that the creation of a balance point is a powerful indication that the behavior of the market majority has shifted."
Gyllenram uses a clever approach to help us understand ( and profit from) the phenomenon of crowd psychology as it relates to market analysis: He uses a number of characters, each representing a different "category" of investor who own positions above a trading range (after a long uptrend), as well as below it (after a steep decline). What all have in common are emotional patterns of crowd behavior formed after large price movements (up or down) that make people nervous, excited or otherwise irrational.
Which character will remind you...of you?
This book really gave a new perspective...
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Poorly explained
A dated overview, with little real meatseems to be largely based on Feder's 1988 book "Fractals". The
dated nature of this book means that it is missing later work
on long memory processes, which Peters estimates using the Hurst
exponent.
As one reviewer already noted, don't assume that this book will
provide much in the way of useful equations. For anyone who wants
more than an overview, this book is a disappointment. Peters does
a poor job of explaining the equations and I did not find enough
detail to implement the algorithms discussed (I turned to Feder's
book and various journal articles). The book does come with a
"floppy" disk containing the Visual Basic algorithms. This is
a poor choice, since C is pretty much the lingua franca for
algorithms.
The various chaos and fractal techniques are applied to a handful
of financial data sets, but this is far from even a solid
suggestion that these techniques might be useful to anyone
developing real market models.
Some of the conclusions that Peters draws (cycles in financial
data) do not seem to be supported the evidence he presents.
In summary, if you are looking for something beyond an overview,
save your money. Feder ("Fractals") has a better description of
RS calculation. "A Non-Random Walk Down Wall Street" by Lo
and MacKinlay has a chapeter on the application of the RS
statistic and long-memory processes which is much better than
Peters. For those who need to simulate fractal brownian motion
(data sets with a particular Hurst exponent) "The Science of
Fractal Images" by Barnsley et all is a good reference.
A very good introduction
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I take a wait and see attitude
Patience does work
Ted's insight was amazing!
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Expert of Real Estate BS and Nothing More
No facts only a promotion of real estate agentsBOTTOM LINE: A poor attempt by a real estate agent to promote the commission-based real estate industry.
Book is useless!
Some good info, but biased against FSBO.Pros: Good info on writing ads, what to do--and not to do--when preparing the home for sale.
Cons: Biased and untruthful information for FSBO sellers, concentrates whenever possible on how difficult it is for FSBO to succeed without the special care that a professional real estate agent can bring to a sale. It would be laughable if it weren't intimidating to first time FSBO prospects.
If you can get past the manipulative realtor hype, there's good info here.
Don't pay full price for this one unless you aspire to being a realtor or are related to one.

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somewhat dissappointed
Great Book for Learning
Finally a thorough VISUAL guide to arrowheads!!!
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Very disappointingThere are far better introductions to the energy markets (e.g. Stephen Errera's Trading Energy Futures & Options or Peter Fusaro's Energy Risk Management) - buy one of these instead!
Misses the mark
This book helped me get a job!
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A
Good start for bubble study.This is a quick, pithy read with lots of information and a bibliography to point the way for further study. He contrasts the efficient market theory with other ideas that suggest the market can be beaten. It's too bad this book is not longer and more substantial. Maybe Devil Take the Hindmost or Tulipomania would make a nice follow up to this simple intro.
Incredibly Fun Read
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Overrated book for the easily impressed
Bottle collector beware!
I would not recommend
-Your 401(k) and stocks are going to be in the dumper
-You will get little to no Social Security
-You will likely not have nearly enough pension money
-You'll probably have to work well past your anticipated "retirement age"
I believe that there will be ups and downs, but to preach this gloom and doom makes for very depressing reading. Those that have not been saving already know they're in for some hard times. Heck, if I were one who hadn't been saving for decades, I'd consider committing hara-kiri with a plastic butter knife after reading this.