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數(shù)量 通關(guān)學(xué)習(xí)包

數(shù)量 通關(guān)學(xué)習(xí)包 掃二維碼繼續(xù)學(xué)習(xí)

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  • 數(shù)量方法
  • Rates and Returns
  • 課時(shí)1：Introduction 05:01
  • 課時(shí)2：Interest Rates and Time Value of Money 10:34
  • 課時(shí)3：Determinants of Interest Rates 27:08
  • 課時(shí)4：Rates of return 24:21
  • 課時(shí)5：Rates of return - Examples 11:45
  • 課時(shí)6：Money-Weighted and Time-Weighted Return 21:20
  • 課時(shí)7：MWR & TWR Examples 13:48
  • 課時(shí)8：Annualized Return 25:47
  • 課時(shí)9：Other Major Return Measures and Their Applications 20:54
  • Time Value of Money in Finance
  • 課時(shí)10：Time Value of Money in Fixed Income and Equity 21:14
  • 課時(shí)11：Coupon Instrument – Annuity 22:36
  • 課時(shí)12：Coupon Instrument – Perpetuity 13:07
  • 課時(shí)13：Annuity Instruments 30:29
  • 課時(shí)14：Equity Instruments and the Time Value of Money 14:30
  • 課時(shí)15：Equity Cash Flows with Constant Dividend Growth 20:39
  • 課時(shí)16：Implied Return and Growth 29:11
  • 課時(shí)17：Cash Flow Additivity 08:13
  • 課時(shí)18：Implied Forward Rates Using Cash Flow Additivity 16:43
  • 課時(shí)19：Forward Exchange Rates Using No Arbitrage 20:39
  • Statistical Measures of Asset Returns
  • 課時(shí)20：Measures of Central Tendency and Location 22:50
  • 課時(shí)21：Measures of Location 28:08
  • 課時(shí)22：Measures of Dispersion 25:15
  • 課時(shí)23：Coefficient of Variation 06:50
  • 課時(shí)24：Measures of Shape of a Distribution 32:00
  • 課時(shí)25：Correlation between Two Variables 18:50
  • 課時(shí)26：Expected Value and Variance 08:14
  • 課時(shí)27：Probability Trees and Conditional Expectations 10:46
  • 課時(shí)28：Bayes' Formula and Updating Probability Estimates 27:29
  • 課時(shí)29：Bayes' Formula and Updating Probability Estimates Example 3 12:24
  • Portfolio Mathematics
  • 課時(shí)30：Portfolio Expected Return and Variance of Return 15:10
  • 課時(shí)31：Forecasting Correlation of Returns- Covariance Given a Joint Probability Function 04:47
  • 課時(shí)32：Portfolio Risk Measures- Applications of the Normal Distribution 16:02
  • Simulation Methods
  • 課時(shí)33：Lognormal Distribution and Continuous Compounding 23:18
  • 課時(shí)34：Monte Carlo Simulation 10:17
  • 課時(shí)35：Bootstrapping 05:01
  • Estimation and Inference
  • 課時(shí)36：Normal Distribution 22:31
  • 課時(shí)37：Sampling Methods 20:36
  • 課時(shí)38：Central Limit Theorem and Inference 08:42
  • 課時(shí)39：Bootstrapping and Empirical Sampling Distributions 14:14
  • Hypothesis Testing
  • 課時(shí)40：Process for Hypothesis Tests 11:25
  • 課時(shí)41：Step 1- State the hypotheses 11:16
  • 課時(shí)42：Step 2- Identify the appropriate test statistic 23:18
  • 課時(shí)43：Step 3- Specify the level of significance 09:56
  • 課時(shí)44：Step 4- State the decision rule 18:01
  • 課時(shí)45：Step 5- Collect data and calculate the test statistic 01:53
  • 課時(shí)46：Step 6- Make a decision 32:56
  • 課時(shí)47：Type I and Type II errors 15:19
  • 課時(shí)48：Test of a Single Mean 06:20
  • 課時(shí)49：Test of a single variance risk 11:16
  • 課時(shí)50：Test concerning differences between means with independent samples 08:04
  • 課時(shí)51：Test Concerning Differences between Means with Dependent Samples 04:25
  • 課時(shí)52：Test Concerning the Equality of Two Variances 05:24
  • 課時(shí)53：Parametric VS. Nonparametric Tests 06:07
  • 課時(shí)54：Tests Concerning Correlation 24:58
  • Simple Linear Regression
  • 課時(shí)55：Assumptions of the Simple Linear Regression Model 23:00
  • 課時(shí)56：Hypothesis Tests in the Simple Linear Regression Model 30:15
  • 課時(shí)57：Using ANOVA Table Results to Evaluate a Simple Linear Regression 13:08
  • 課時(shí)58：Prediction in the Simple Linear Regression Model 01:15
  • 課時(shí)59：Estimation of the Simple Linear Regression Model 31:14
  • 課時(shí)60：Functional Forms for Simple Linear Regression 02:41
  • Introduction to Big Data Techniques
  • 課時(shí)61：Introduction to Big Data Techniques 14:19

授課教師

澤稷網(wǎng)校CFA?考試講師、證券從業(yè)講師

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