Ebook Download Financial Modeling Under Non-Gaussian Distributions (Springer Finance), by Eric Jondeau, Ser-Huang Poon, Michael Rockinger
Why should be Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger in this website? Obtain more revenues as what we have informed you. You could find the various other reduces besides the previous one. Ease of obtaining guide Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger as exactly what you desire is likewise provided. Why? Our company offer you many sort of guides that will not make you feel bored. You could download them in the web link that we provide. By downloading and install Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger, you have taken the right way to select the simplicity one, as compared to the headache one.
Financial Modeling Under Non-Gaussian Distributions (Springer Finance), by Eric Jondeau, Ser-Huang Poon, Michael Rockinger
Ebook Download Financial Modeling Under Non-Gaussian Distributions (Springer Finance), by Eric Jondeau, Ser-Huang Poon, Michael Rockinger
Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger. Negotiating with reading practice is no requirement. Checking out Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger is not type of something offered that you can take or otherwise. It is a point that will certainly transform your life to life much better. It is the many things that will certainly make you several things around the globe as well as this universe, in the real world and here after. As what will be provided by this Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger, exactly how can you negotiate with the important things that has several perks for you?
By checking out Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger, you could recognize the knowledge as well as things even more, not just regarding what you get from individuals to people. Schedule Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger will be a lot more relied on. As this Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger, it will really offer you the great idea to be effective. It is not only for you to be success in specific life; you can be successful in everything. The success can be started by knowing the standard knowledge and do actions.
From the combo of knowledge and activities, a person could improve their ability and ability. It will lead them to live as well as work better. This is why, the students, employees, or perhaps companies must have reading routine for books. Any publication Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger will offer certain expertise to take all benefits. This is what this Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger informs you. It will certainly include even more knowledge of you to life as well as function much better. Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger, Try it as well as verify it.
Based on some experiences of many people, it remains in fact that reading this Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger could help them making much better selection and provide even more encounter. If you intend to be among them, let's purchase this book Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger by downloading and install guide on web link download in this website. You could get the soft documents of this publication Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger to download and also deposit in your available electronic devices. What are you waiting for? Allow get this publication Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger on-line and also read them in at any time and any type of place you will check out. It will certainly not encumber you to bring hefty publication Financial Modeling Under Non-Gaussian Distributions (Springer Finance), By Eric Jondeau, Ser-Huang Poon, Michael Rockinger within your bag.
This book examines non-Gaussian distributions. It addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series.
- Sales Rank: #1503374 in Books
- Published on: 2010-09-02
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 1.27" w x 6.13" l, 1.71 pounds
- Binding: Paperback
- 541 pages
From the Back Cover
Practitioners and researchers who have handled financial market data know that asset returns do not behave according to the bell-shaped curve, associated with the Gaussian or normal distribution. Indeed, the use of Gaussian models when the asset return distributions are not normal could lead to a wrong choice of portfolio, the underestimation of extreme losses or mispriced derivative products. Consequently, non-Gaussian models and models based on processes with jumps are gaining popularity among financial market practitioners.
Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. One of the main aims is to bridge the gap between the theoretical developments and the practical implementations of what many users and researchers perceive as "sophisticated" models or black boxes. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series, such as exchange and interest rates. The authors have taken care to make the material accessible to anyone with a basic knowledge of statistics, calculus and probability, while at the same time preserving the mathematical rigor and complexity of the original models.
This book will be an essential reference for practitioners in the finance industry, especially those responsible for managing portfolios and monitoring financial risk, but it will also be useful for mathematicians who want to know more about how their mathematical tools are applied in finance, and as a text for advanced courses in empirical finance; financial econometrics and financial derivatives
Review
From the reviews:
"Financial Modeling Under Non-Gaussian Distributions … is thus very welcome as it provides an accessible and easy-to-understand treatment of a broad range of topics, including core material to more advanced techniques on the subject of capturing non-Gaussian properties in the distributions of asset returns. … Financial Modeling Under Non-Gaussian Distributions is a very accessible textbook that covers a wide range of topics. … The authors define their target readers as specialized master and Ph.D. students, as well as financial industry practitioners." (Stephan Suess, Financial Markets and Portfolio Management, Vol. 22, 2008)
"This book is written for non-mathematicians who want to model financial market prices. ... It targets practioners in the financial industry. It is suitable for use as core text for students in empirical finance, financial econometrics and financial derivatives. It is useful for mathematician who want to know more about their mathematical tools are applied in finance." (Klaus Ehemann, Zentralblatt MATH, Vol. 1138 (16), 2008)
Most helpful customer reviews
11 of 14 people found the following review helpful.
A most intelligent and clear book
By Brian D. Babiak
This book is an outstanding a clear presentation of non-Gaussian financial modeling. In financial markets, the Gaussian curve or bell curve, is not accurate in that most markets are skewed (a predisposition to grow on average, not zero) and fat-tailed (rare events such as market crashes happen more often than a Gaussian curve would suggest). Therefore, non-Gaussian modeling is essential to make money in the market or assess risk. This book goes through all the new techniques of non-Gaussian modeling. It does an exceptional job discussing the GARCH generalized autoregressive conditional heteroskedasticity. This is but a fancy word for fluctuations in volatility over time pretty much dependent on recent fluctuations. It works very well I must say empirically, and has tripled the rationality and profitability of my portfolio - especially one of the versions of the GARCH over the others reviewed - but which one I'd rather not say, for obvious reasons ;) The book is weakest at page 183 or so, with the models and I was rather disappointed with the exclusion of the market crash of the 80s in the empirical analysis - wouldn't rare events be the main reason for improving non-Gaussian modeling? Anyway it's rather poor, but thorough, with additive and multivariate GARCHes but the fault lies with the faultiness of the theories not the authors, at least they're encyclopedic. The book picks up at the end with copulas, and a complete discussion of non-Gaussian option pricing. The review of BSM is appreciated and actually well-done, and a nice reminder of what we are trying to improve on exactly. I think this is a most incredible book, very clearly written, and at times, quite an enjoyable read for such a topic. All it takes is multivariate calculus and basic statistics, but more math ability will make the implications and comments breathtaking at times. I often find myself inspired by a passage or footnote to create a whole subroutine in R or python. I think avoiding Bayesian topics and Monte Carlo was disappointing, but wise in terms of focus. A great book for graduate mathematics in applications of statistics or stochastic calculus, or a good book for modeling fundamentals in economics or business management at the post-graduate level.
Financial Modeling Under Non-Gaussian Distributions (Springer Finance), by Eric Jondeau, Ser-Huang Poon, Michael Rockinger PDF
Financial Modeling Under Non-Gaussian Distributions (Springer Finance), by Eric Jondeau, Ser-Huang Poon, Michael Rockinger EPub
Financial Modeling Under Non-Gaussian Distributions (Springer Finance), by Eric Jondeau, Ser-Huang Poon, Michael Rockinger Doc
Financial Modeling Under Non-Gaussian Distributions (Springer Finance), by Eric Jondeau, Ser-Huang Poon, Michael Rockinger iBooks
Financial Modeling Under Non-Gaussian Distributions (Springer Finance), by Eric Jondeau, Ser-Huang Poon, Michael Rockinger rtf
Financial Modeling Under Non-Gaussian Distributions (Springer Finance), by Eric Jondeau, Ser-Huang Poon, Michael Rockinger Mobipocket
Financial Modeling Under Non-Gaussian Distributions (Springer Finance), by Eric Jondeau, Ser-Huang Poon, Michael Rockinger Kindle
Tidak ada komentar:
Posting Komentar