Analysis of Financial Data
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22 430 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher John Wiley & Sons
- Date of Publication 25 November 2005
- ISBN 9780470013212
- Binding Paperback
- No. of pages252 pages
- Size 244x168x14 mm
- Weight 436 g
- Language English 0
Categories
Short description:
Analysis of Financial Data details the methods and techniques surrounding the analysis of financial data. It covers many of the major tools used by financial professionals including – regression and time series methods – showing readers how to apply these techniques in the real world.
MoreLong description:
Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance students, by showing them how to apply such techniques in the context of real–world empirical problems.
Adopting a largely non–mathematical approach Analysis of Financial Data relies more on verbal intuition and graphical methods for understanding.
Key features include:
- Coverage of many of the major tools used by the financial economist e.g. correlation, regression, time series analysis and methods for analyzing financial volatility.
- Extensive use of real data examples, which involves readers in hands–on computer work.
- Mathematical techniques at a level suited to MBA students and undergraduates taking a first course in the topic.
Supplementary material for readers and lecturers provided on an accompanying website.
Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance students, by showing them how to apply such techniques in the context of real–world empirical problems.
Adopting a largely non–mathematical approach Analysis of Financial Data relies more on verbal intuition and graphical methods for understanding.
Key features include:
- Coverage of many of the major tools used by the financial economist e.g. correlation, regression, time series analysis and methods for analyzing financial volatility.
- Extensive use of real data examples, which involves readers in hands–on computer work.
- Mathematical techniques at a level suited to MBA students and undergraduates taking a first course in the topic.
Supplementary material for readers and lecturers provided on an accompanying website.
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