1
Q
The term Big Data typically refers to datasets having the following characteristics
A
Volume, velocity, variety
CFA Level I
flashcards
Decks in class (55)
# Cards
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Ethics and Trust in the Investment Profession14
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Code of Ethics and Standards of Professional Conduct23
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Guidance for Standards I–VII44
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Introduction to the Global Investment Performance Standards (GIPS)8
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Global Investment Performance Standards (GIPS)11
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Quantitative Methods - The Time Value of Money7
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Statistical Concepts and Market Returns36
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Probability Concepts15
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Common Probability Distributions16
-
Sampling and Estimation25
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Hypothesis Testing11
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Topics in Demand and Supply Analysis8
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The Firm and Market Structures11
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Aggregate Output, Prices, and Economic Growth11
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Understanding Business Cycles9
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Monetary and Fiscal Policy12
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International Trade and Capital Flows10
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Currency Exchange Rates1
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Introduction to Financial Statement Analysis10
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Financial Reporting Standards30
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Understanding Income Statements29
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Understanding Balance Sheets16
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Understanding Cash Flow Statements27
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Financial Analysis Techniques39
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Inventories6
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Long-lived assets11
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Introduction to Corporate Governance and Other ESG Considerations7
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Capital Budgeting5
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Cost of Capital11
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Measures of Leverage4
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Working Capital Management6
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Market Organization and Structure14
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Security Market Indexes0
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Market Efficiency3
-
Overview of Equity Securities3
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Introduction to Industry and Company Analysis1
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Income Taxes2
-
Non-Current (Long-Term) Liabilities2
-
Fixed-Income Securities: Defining Elements6
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Fixed-Income Markets: Issuance, Trading, and Funding5
-
Introduction to Fixed-Income Valuation17
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Introduction to Asset- Backed Securities11
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Understanding Fixed- Income Risk and Return14
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Fundamentals of Credit Analysis7
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Derivative Markets and Instruments4
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Basics of Derivative Pricing and Valuation4
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Introduction to Alternative Investments6
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Portfolio Management: An Overview1
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Portfolio Risk and Return: Part I7
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Portfolio Risk and Return: Part II10
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Basics of Portfolio Planning and Construction1
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Introduction to Risk Management6
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Technical Analysis19
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Big Data1
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Extra topics - weaknesses6
