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