CFA Level 1,2,3 – Study Guides 2006
CFA Level 1,2,3 – Study Guides 2006
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In 2006, Schweser Study Notes offer you more value than ever! Our enhanced Study Notes keep you focused on the critical concepts in the required CFA Institute assigned readings. In the 2006 Study Notes you will also find more realistic problems at a higher degree of difficulty to help you prepare for the CFA Exam. Our 2006 Study Notes include Schweser’s QuickSheet. Level 1; Books 1 through 6: Ethics and Quantitative Methods; Economics; Financial Statement Analysis; Corporate Finance, Portfolio Management, Markets, Equity, and Alternative Investments; Debt Investments and Derivative Investments and Sample Exam Workbook.
The CFA Program includes a series of three exams; Levels I, II, and III. The exams:
Are offered annually — at test centers around the world — on the first Saturday in June. The Level I exam is also offered in December.
Must be passed sequentially.
Are available in English only.
The exam content, learning focus, and question format increase in complexity with each level.
Curriculum Content and Learning Focus
An example showing the increase in complexity is the ethical and professional standards curriculum content. This content is similar for each exam level; however, candidates are asked different types of questions:
Level I tests your knowledge of the ethical and professional standards.
Level II tests how you apply those standards to situations analysts face.
Level III tests how you apply the standards in a portfolio management and compliance context.
In general:
Level I exams consists of basic knowledge and comprehension questions focused on investment tools; some questions will require analysis.
Level II exams emphasize more complex analysis, along with a focus on valuing assets.
Level III exams require synthesis of all the concepts and analytical methods in a variety of applications for effective portfolio management and wealth planning.
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Christopher Baum – An Introduction to Modern Econometrics Using Stata
Wayne Nelson – Applied Life Data Analysis
Donald D.Hester – The Evolution of Monetary Policy & Banking in the US
Vladimir Cherkassky, Filip Mulier – Learning from Data. Concepts, Theory & Methods
Brian J.Taylor – Methods & Procedures for the Verification & Validation of Artificial NN
Eli Brookner – Tracking & Kalman Filtering Made Easy
Maxim Finkelstein - Failure Rate Modelling for Reliabiliy & Risk
Reilly Brown – Investment Analysis & Portfolio Management
Tom Bierovic – ABCs of Trading and Tech Analysis (Online Investor Expo, Las Vegas 2000)
Patricia Melin - Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
Blandine Laperche – John Kenneth Galbraith & The Future of Economics
Dr. Mircea Dologa – Integrated Pithfork Analysis (Volume 2 & 3)
Robert S.Frey – Successful Proposal Strategies for Small Businesses
Vijay Gupta – SPSS for Beginners
John Ehlers – Rocket Science for Traders
Joseph C.H.Chai – Economic Reform in China & India
Roy M.Howard – Principles of Random Signal Analysis & Low Noise Design
Frank Hagenstein – Investing in Corporate Bonds & Credit Risk
Cheng-Few Lee – Advances in Quantitative Finance & Accounting (Vol 2)
M.Hazewinkel – HandBook of Algebra (Vol I & II)





