2025 CFA Program Curriculum Level I Box Set (eBook)

eBook Download: EPUB

2024
7629 Seiten
Wiley (Verlag)
978-1-394-31617-5 (ISBN)

Infos

Discover the official resource for success on the 2025 CFA Level I exam. Get your copy of the CFA® Program Curriculum now. 

The 2025 CFA Program Curriculum Level I Box Set contains the content you need to perform well on the Level I CFA exam in 2025. Designed for candidates to use for exam preparation and professional reference purposes, this set includes the full official curriculum for Level I and is part of the larger CFA Candidate Body of Knowledge (CBOK). 

Covering all ten core topics found on the Level I exam, the 2025 CFA Program Curriculum Level I Box Set helps you:

• Develop critical knowledge and skills essential in the industry.
• Learn from financial thought leaders.
• Access market-relevant instruction. 

The set also features practice questions to assist with your mastery of key terms, concepts, and formulas. Volumes include:

• Volume 1:  Quantitative Methods
• Volume 2:  Economics
• Volume 3:  Corporate Issuers
• Volume 4:  Financial Statement Analysis
• Volume 5:  Equity Investments
• Volume 6:  Fixed Income
• Volume 7:  Derivatives
• Volume 8:  Alternative Investments
• Volume 9:  Portfolio Management
• Volume 10:Ethical and Professional Standards 

Indispensable for anyone preparing for the 2025 Level I CFA exam, the 2025 CFA Program Curriculum Level I Box Set is a must-have resource for those seeking the foundational skills required to become a Chartered Financial Analyst®.

Textauszug

Table of Contents

1. Title Page
2. Table of Contents
3. How to Use the CFA Program Curriculum
   1. CFA Institute Learning Ecosystem (LES)
   2. Designing Your Personal Study Program
   3. Errata
   4. Other Feedback
   5. Accessibility Statement for the 2025 CFA Program Curriculum
   6. Our Commitment to Accessibility Standards
   7. Ongoing Improvements
   8. Feedback
4. Quantitative Methods
   1. Rates and Returns
      1. Learning Outcomes
      2. 1. Introduction
      3. 2. Interest Rates and Time Value of Money
         1. 2.1. Determinants of Interest Rates
      4. 3. Rates of Return
         1. 3.1. Holding Period Return
         2. 3.2. Arithmetic or Mean Return
         3. 3.3. Geometric Mean Return
         4. 3.4. The Harmonic Mean
      5. 4. Money-Weighted and Time-Weighted Return
         1. 4.1. Calculating the Money Weighted Return
            1. 4.1.1. Money-Weighted Return for a Dividend-Paying Stock
            2. 4.1.2. Time-Weighted Returns
               1. 4.1.2.1. Computing Time-Weighted Returns
      6. 5. Annualized Return
         1. 5.1. Non-annual Compounding
         2. 5.2. Annualizing Returns
         3. 5.3. Continuously Compounded Returns
      7. 6. Other Major Return Measures and Their Applications
         1. 6.1. Gross and Net Return
         2. 6.2. Pre-Tax and After-Tax Nominal Return
         3. 6.3. Real Returns
         4. 6.4. Leveraged Return
      8. Practice Problems
      9. Solutions
   2. Time Value of Money in Finance
      1. Learning Outcomes
      2. 1. Introduction
      3. 2. Time Value of Money in Fixed Income and Equity
         1. 2.1. Fixed-Income Instruments and the Time Value of Money
            1. 2.1.1. Discount Instruments
            2. 2.1.2. Coupon Instrument
            3. 2.1.3. Annuity Instruments
         2. 2.2. Equity Instruments and the Time Value of Money
      4. 3. Implied Return and Growth
         1. 3.1. Implied Return for Fixed-Income Instruments
         2. 3.2. Equity Instruments, Implied Return, and Implied Growth
      5. 4. Cash Flow Additivity
         1. 4.1. Implied Forward Rates Using Cash Flow Additivity
         2. 4.2. Forward Exchange Rates Using No Arbitrage
         3. 4.3. Option Pricing Using Cash Flow Additivity
      6. Practice Problems
      7. Solutions
   3. Statistical Measures of Asset Returns
      1. Learning Outcomes
      2. 1. Introduction
      3. 2. Measures of Central Tendency and Location
         1. 2.1. Measures of Central Tendency
            1. 2.1.1. The Arithmetic Mean
            2. 2.1.2. The Sample Mean
            3. 2.1.3. The Median
            4. 2.1.4. The Mode
         2. 2.2. Dealing with Outliers
         3. 2.3. Measures of Location
            1. 2.3.1. Quartiles, Quintiles, Deciles, and Percentiles
            2. 2.3.2. Quantiles in Investment Practice
      4. 3. Measures of Dispersion
         1. 3.1. The Range
         2. 3.2. Mean Absolute Deviations
         3. 3.3. Sample Variance and Sample Standard Deviation
            1. 3.3.1. Sample Variance
            2. 3.3.2. Sample Standard Deviation
         4. 3.4. Downside Deviation and Coefficient of Variation
            1. 3.4.1. Downside Deviation
            2. 3.4.2. Coefficient of Variation
      5. 4. Measures of Shape of a Distribution
         1. 4.1.
            1. 4.1.1. Skewness
            2. 4.1.2. Kurtosis
      6. 5. Correlation between Two Variables
         1. 5.1. Scatter Plot
         2. 5.2. Covariance and Correlation
         3. 5.3. Properties of Correlation
         4. 5.4. Limitations of Correlation Analysis
      7. Practice Problems
      8. Solutions
   4. Probability Trees and Conditional Expectations
      1. Learning Outcomes
      2. 1. Introduction
      3. 2. Expected Value and Variance
      4. 3. Probability Trees and Conditional Expectations
         1. 3.1. Total Probability Rule for Expected Value
      5. 4. Bayes' Formula and Updating Probability Estimates
         1. 4.1. Bayes’ Formula
      6. Practice Problems
      7. Solutions
   5. Portfolio Mathematics
      1. Learning Outcomes
      2. 1. Introduction
      3. 2. Portfolio Expected Return and Variance of Return
         1. 2.1. Covariance
         2. 2.2. Correlation
      4. 3. Forecasting Correlation of Returns: Covariance Given a Joint Probability Function
      5. 4. Portfolio Risk Measures: Applications of the Normal Distribution
      6. References
      7. Practice Problems
      8. Solutions
   6. Simulation Methods
      1. Learning Outcomes
      2. 1. Introduction
      3. 2. Lognormal Distribution and Continuous Compounding
         1. 2.1. The Lognormal Distribution
         2. 2.2. Continuously Compounded Rates of Return
      4. 3. Monte Carlo Simulation
      5. 4. Bootstrapping
      6. Practice Problems
      7. Solutions
   7. Estimation and Inference
      1. Learning Outcomes
      2. 1. Introduction
      3. 2. Sampling Methods
         1. 2.1. Simple Random Sampling
         2. 2.2. Stratified Random Sampling
         3. 2.3. Cluster Sampling
         4. 2.4. Non-Probability Sampling
         5. 2.5. Sampling from Different Distributions
      4. 3. Central Limit Theorem and Inference
         1. 3.1. The Central Limit Theorem
         2. 3.2. Standard Error of the Sample Mean
      5. 4. Bootstrapping and Empirical Sampling Distributions
      6. Practice Problems
      7. Solutions
   8. Hypothesis Testing
      1. Learning Outcomes
      2. 1. Introduction
      3. 2. Hypothesis Tests for Finance
         1. 2.1. The Process of Hypothesis Testing
            1. 2.1.1. Stating the Hypotheses
            2. 2.1.2. Identify the Appropriate Test Statistic and Distribution
            3. 2.1.3. Specify the Level of Significance
            4. 2.1.4. State the Decision Rule
      4. 3. Tests of Return and Risk in Finance
         1. 3.1. Test Concerning Differences between Means with Dependent Samples
         2. 3.2. Test Concerning the Equality of Two Variances
      5. 4. Parametric versus Nonparametric Tests
         1. 4.1. Uses of Nonparametric Tests
         2. 4.2. Nonparametric Inference: Summary
      6. Practice Problems
      7. Solutions
   9. Parametric and Non-Parametric Tests of Independence
      1. Learning Outcomes
      2. 1. Introduction
      3. 2. Tests Concerning Correlation
         1. 2.1. Parametric Test of a Correlation
         2. 2.2. Non-Parametric Test of Correlation: The Spearman Rank Correlation Coefficient
      4. 3. Tests of Independence Using Contingency Table Data
      5. Practice Problems
      6. Solutions
   10. Simple Linear Regression
       1. Learning Outcomes
       2. 1. Introduction
       3. 2. Estimation of the Simple Linear Regression Model
          1. 2.1. Introduction to Linear Regression
          2. 2.2. Estimating the Parameters of a Simple Linear Regression
             1. 2.2.1. The Basics of Simple Linear Regression
             2. 2.2.2. Estimating the Regression Line
             3. 2.2.3. Interpreting the Regression Coefficients
             4. 2.2.4. Cross-Sectional versus Time-Series Regressions
       4. 3. Assumptions of the Simple Linear Regression Model
          1. 3.1. Assumption 1: Linearity
          2. 3.2. Assumption 2: Homoskedasticity
          3. 3.3. Assumption 3: Independence
          4. 3.4. Assumption 4: Normality
       5. 4. Hypothesis Tests in the Simple Linear Regression Model
          1. 4.1. Analysis of Variance
             1. 4.1.1. Breaking Down the Sum of Squares Total into Its Components
          2. 4.2. Measures of Goodness of Fit
          3. 4.3. Hypothesis Testing of Individual Regression Coefficients
             1. 4.3.1. Hypothesis Tests of the Slope Coefficient
             2. 4.3.2. Hypothesis Tests of the Intercept
             3. 4.3.3. Hypothesis Tests of Slope When the Independent Variable Is an Indicator Variable
             4. 4.3.4. Test of Hypotheses: Level of Significance and p-Values
       6. 5. Prediction in the Simple Linear Regression Model
          1. 5.1. ANOVA and Standard Error of Estimate in Simple Linear Regression
          2. 5.2. Prediction Using Simple Linear Regression and Prediction Intervals
       7. 6. Functional Forms for Simple Linear Regression
          1. 6.1....

Produkt-Details

• Erscheint lt. Verlag: 16.10.2024
• Sprache: englisch
• Themenwelt: Wirtschaft
• Schlagworte: cfa exam prep • cfa level 1 exam • cfa level 1 exam prep • cfa level 1 prep • cfa level 1 test • cfa level 1 test prep • cfa prep • cfa study aids • cfa study guides • cfa test prep • Chartered financial analyst exam • chartered financial analyst level I exam
• ISBN-10: 1-394-31617-8 / 1394316178
• ISBN-13: 978-1-394-31617-5 / 9781394316175