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❶Learn more about Amazon Giveaway. The book has an excellent supporting website which has all the programs and data sets which helps to internalize the concepts.

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Share your thoughts with other customers. Write a customer review. Read reviews that mention finance models practical students text topics detailed examples math reference chapter theory statistics data equations s-plus garch advanced field background. There was a problem filtering reviews right now.

Please try again later. A nice up-to-date collection of time series techniques. Should be useful for someone who already has some experience in the field. However, would not recommend as an introduction for an uninitiated. This approach has been proven wrong and an alternative has been suggested already in the Li-Mak test.

However, the book is completely mute about this issue. A very detailed treatise of all things time series. Plenty of examples that can be easily adapted to R. I referred to it often when working as a high frequency quant. I am new to TS analysis and I bought this book because I am always interested in how statistics works in finance. I can say this is probably the best book for self-study. The writting is clear and the examples are both interesting and easy to follow.

Interestingly the other day I asked my friend, who has a Ph. One person found this helpful. This book runs wildly from volatility models to analysis of high frequency series to non-linear modeling, sort of a kill-all tool for the analysis of financial time series. After all, that is the book title.

Perhaps this is the goal of the people buying this book and students alike. This book is not for you if you are just starting learn about Time Series analysis or Econometrics.

This is way too math heavy and absolutely no attempt made to explain the concepts. Kindle Edition Verified Purchase. I realize a different reviewer considered the e-book a convenient solution, and it certainly would be.

But, the equations are unreadable. The result is, by Chapter 2 the text devolves into gibberish. Honestly, the quality control is lousy for this Kindle Edition. See all 40 reviews. Most recent customer reviews. Published 5 months ago. Published 10 months ago. Published on July 30, Published on March 22, Published on February 10, Published on December 22, Published on October 1, Published on May 1, Published on March 19, Amazon Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers.

Learn more about Amazon Giveaway. Analysis of Financial Time Series. Set up a giveaway. Customers who viewed this item also viewed. Time Series Analysis and Its Applications: Winning Strategies and Their Rationale. Pages with related products. See and discover other items: Get fast, free shipping with Amazon Prime.

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The video content is misleading. The ad is too long. The ad does not play. The ad does not inform my purchase. The video does not play. There is too much buffering. The audio is poor or missing. Video is unrelated to the product. Please fill out the copyright form to register a complaint. The 1-Page Marketing Plan: Discover the groundbreaking new marketing breakthrough. Map out and plan your entire business marketing strategy on a single page. Over 80 recipes for machine learning in Pyt Genius PR hacks and secret viral tactics we used to grow our startup to million users.

Become an efficient data science p Share your thoughts with other customers. Write a customer review. There was a problem filtering reviews right now. Please try again later. Loose Leaf Verified Purchase. New loose-leaf version - comes in 3-ring binder. Includes E-book version of text. Seller states that the above is not included. This book does have credit in that it tries to assist those who are not mathematics majors, however it is still extremely difficult to understand especially for those such as myself who do not have a math-oriented mind.

The book goes to great lengths to explain how to use this program, but the issue is that the add-in is not available for Mac computers.

Therefore, this book is practically useless for anyone without a Windows PC. I was unable to complete about a quarter of the work assigned in my class due to the fact that the book does not explain how to do the work without using StatTools. This book is a excellent book in that it provides a unified approach to business-related problems by integrating methods and applications that have been traditionally taught in separate courses, specifically statistics and management science.

In addition, the book emphasizes realistic business examples and the processes managers actually use to analyze business problems.


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