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Introduction to Computational Finance and Financial Econometrics
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2015-3-20 19:07
2024-12-24 23:51
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3.91 GB
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Introduction
to
Computational
Finance
and
Financial
Econometrics
文件列表
1 - 1 - Welcome to Introduction to Computational Finance and Financial Econometrics (1314).mp4
24.44MB
10 - 1 - 4.0 Week 4 Introduction (211).mp4
7.48MB
10 - 2 - 4.1 Matrix Algebra Portfolio Math (2114).mp4
52.61MB
10 - 3 - 4.2 Matrix Algebra Bivariate Normal (726).mp4
21.61MB
11 - 1 - 4.3 Time Series Concepts (1648).mp4
45.52MB
11 - 2 - 4.4 Autocorrelation (914).mp4
24.18MB
11 - 3 - 4.5 White Noise Processes (1231).mp4
38.73MB
11 - 4 - 4.6 Nonstationary Processes (1729).mp4
47.63MB
11 - 5 - 4.7 Moving Average Processes (2545).mp4
65.44MB
11 - 6 - 4.8 Autoregressive Processes Part 1 (319).mp4
9.25MB
11 - 7 - 4.9 Autoregressive Processes Part 2 (2819).mp4
77.56MB
12 - 1 - 5.0 Week 5 Introduction.mp4
11.79MB
12 - 2 - 5.1 Covariance Stationarity (1128).mp4
37.82MB
12 - 3 - 5.2 Histograms (1133).mp4
35.24MB
12 - 4 - 5.3 Sample Statistics (1524).mp4
46.76MB
12 - 5 - 5.4 Empirical CDF and QQ plots (1200).mp4
38.07MB
12 - 6 - 5.5 Outliers Part 1 (715).mp4
74.73MB
12 - 7 - 5.6 Outliers Part 2 (739).mp4
22.47MB
12 - 8 - 5.7 Graphical Measures (2317).mp4
70.26MB
12 - 9 - 5.8 Descriptive Statistics for Daily Data (2417).mp4
76.14MB
13 - 1 - 6.0 Week 6 Introduction.mp4
12.81MB
13 - 10 - 6.9 Confidence Intervals (1247).mp4
40.19MB
13 - 11 - 6.10 Monte Carlo Simulation (1527).mp4
43.86MB
13 - 12 - 6.11 Value at Risk in CER model (736).mp4
22.13MB
13 - 2 - 6.1 Constant Expected Return Model (1407).mp4
39.95MB
13 - 3 - 6.2 Simulating Data (1214).mp4
32.95MB
13 - 4 - 6.3 Random Walk Model (538).mp4
16.54MB
13 - 5 - 6.4 Estimating Parameters of CER (1859).mp4
56.99MB
13 - 6 - 6.5 Bias and Precision (1302).mp4
33.55MB
13 - 7 - 6.6 Mean Squared Error (122).mp4
3.26MB
13 - 8 - 6.7 Standard Errors (2212).mp4
69.2MB
13 - 9 - 6.8 Asymptotic Properties of Estimators (1411) .mp4
41.68MB
14 - 1 - 7.0 Week 7 Introduction (243).mp4
8.31MB
14 - 2 - 7.1 Bootstrap (2606).mp4
81.19MB
14 - 3 - 7.2 Performing the Bootstrap in R (1810).mp4
54.95MB
14 - 4 - 7.3 Boostrapping VaR (844).mp4
27.43MB
15 - 1 - 7.4 Hypothesis Testing Introduction (829).mp4
25.92MB
15 - 2 - 7.5 Hypothesis Testing Overview (906).mp4
26.65MB
15 - 3 - 7.6 Hypothesis Testing CER Model (1047).mp4
31.63MB
15 - 4 - 7.7 Chi-square and Students t distributions (516).mp4
14.11MB
15 - 5 - 7.8 Test of Specific Coefficient Value (2607).mp4
77.22MB
15 - 6 - 7.9 Test for Normal Distribution (836).mp4
24.55MB
15 - 7 - 7.10 Test for No Autocorrelation (536).mp4
16.51MB
15 - 8 - 7.11 Diagnostics for Constant Parameters (2221).mp4
73.51MB
16 - 1 - 8.0 Week 8 Introduction (257).mp4
8.4MB
16 - 10 - 8.9 Tangency Portfolio (1733).mp4
35.78MB
16 - 11 - 8.10 Examples (1011).mp4
19.22MB
16 - 12 - 8.11 Portfolio Theory with Matrix Algebra Part 1 (1526).mp4
29.95MB
16 - 13 - 8.12 Portfolio Theory with Matrix Algebra Part 2 (1554).mp4
31.64MB
16 - 14 - 8.13 Portfolio Theory with Matrix Algebra Part 3 (1634).mp4
33.93MB
16 - 15 - Brief Comment about Excel Solver Add-in (212).mp4
5.44MB
16 - 2 - 8.1 Introduction to Portfolio Theory (1435).mp4
26.56MB
16 - 3 - 8.2 Portfolio Examples (608).mp4
12.89MB
16 - 4 - 8.3 Portfolio Value-at-Risk (611).mp4
12.73MB
16 - 5 - 8.4 Portfolio Frontier (1028).mp4
20.35MB
16 - 6 - 8.5 Efficient Portfolios (1000).mp4
18.84MB
16 - 7 - 8.6 Minimum Variance Portfolio (1243).mp4
23.95MB
16 - 8 - 8.7 Portfolios with a Risk Free Asset Part 1 (724).mp4
11.94MB
16 - 9 - 8.8 Portfolios with a Risk Free Asset Part 2 (1832).mp4
36.47MB
17 - 1 - 9.0 Week 9 Introduction (359).mp4
10.97MB
17 - 2 - 9.1 Computing the Portfolio Frontier (2653).mp4
51.61MB
17 - 3 - 9.2 Computing the Tangency Portfolio (2211).mp4
46.19MB
17 - 4 - 9.3 Mutual Fund Separation Theorem and Examples (1104).mp4
21.64MB
17 - 5 - 9.4 Portfolio Analysis in R (843).mp4
21.37MB
17 - 6 - 9.5 Portfolio Analysis in Excel Part 1 (1314).mp4
39.93MB
17 - 7 - 9.6 Portfolio Analysis in Excel Part 2 (854).mp4
28.05MB
18 - 1 - 9.7 Portfolio Theory with No Short Sales (1315).mp4
32.82MB
18 - 2 - 9.8 R packages for Portfolio Theory (643).mp4
18.13MB
18 - 3 - 9.9 Using Solve.QP() in R (1019).mp4
23.52MB
18 - 4 - 9.10 Global minimum variance (816).mp4
21.69MB
18 - 5 - 9.11 Efficient Frontier (856).mp4
23.1MB
19 - 1 - 9.12 Statistical Analysis of Efficient Portfolios (835).mp4
20.68MB
19 - 2 - 9.13 Bootstrapping Efficient Portfolios (2201).mp4
51.99MB
19 - 3 - 9.14 Efficient Portfolios Over Time (1801).mp4
42.91MB
2 - 1 - 1.0 Week 1 Introduction (058).mp4
2.22MB
20 - 1 - 10.0 Week 10 Introduction (150).mp4
4.97MB
20 - 2 - 10.1 Portfolio Risk Budgeting (1059).mp4
23.85MB
20 - 3 - 10.2 Eulers Theorem and Risk Decomposition (1720).mp4
33.38MB
20 - 4 - 10.3 Risk Decomposition for Portfolio Volatility (912).mp4
18.77MB
20 - 5 - 10.4 Using and Interpreting Marginal Contribution to Risk (1211).mp4
23.36MB
20 - 6 - 10.5 Beta (1914).mp4
34.29MB
21 - 1 - 10.6 Sharpes Single Index Model (1048).mp4
20.38MB
21 - 10 - 10.15 A Single Index Model Portfolio Example (554).mp4
12.55MB
21 - 11 - 10.16 Estimating the Single Index Model Covariance Matrix (456).mp4
11.66MB
21 - 12 - 10.17 Hypothesis Testing in the Single Index Model (1334).mp4
27.2MB
21 - 2 - 10.7 Statistical Properties of the Single Index Model (1220).mp4
23.47MB
21 - 3 - 10.8 Decomposition of Total Variance (942).mp4
18.26MB
21 - 4 - 10.9 The Single Index Model and Portfolios (751).mp4
14.42MB
21 - 5 - 10.10 Estimating the Single Index Model (1233).mp4
25.05MB
21 - 6 - 10.11 Examples with the Single Index Model (1803).mp4
38.42MB
21 - 7 - 10.12 Least Squares Estimation of Single Index Model Parameters (2106).mp4
43.86MB
21 - 8 - 10.13 Statistical Properties of Least Square Estimates (831).mp4
17.96MB
21 - 9 - 10.14 Using Matrix Algebra with the Single Index Model (356).mp4
7.35MB
3 - 1 - 1.1 Future Value Present Value and Compounding (1702).mp4
53.51MB
3 - 2 - 1.2 Asset Returns (1653).mp4
48.67MB
3 - 3 - 1.3 Portfolio Returns (912).mp4
26.82MB
3 - 4 - 1.4 Dividends (400).mp4
12.1MB
3 - 5 - 1.5 Inflation (457).mp4
13.21MB
3 - 6 - 1.6 Annualizing Returns (532).mp4
14.42MB
4 - 1 - 1.7 Continuously Compounded Returns (1555).mp4
42.46MB
4 - 2 - 1.8 CC Portfolio Returns and Inflation (550).mp4
16.54MB
5 - 1 - 1.9 Simple Returns (401).mp4
11.6MB
5 - 2 - 1.10 Getting Financial Data from Yahoo (1026).mp4
27.2MB
5 - 3 - 1.11 Return Calculations (621).mp4
17.48MB
5 - 4 - 1.12 Growth of 1 (658).mp4
17.28MB
6 - 1 - 2.0 Week 2 Introduction (106).mp4
2.58MB
6 - 10 - 2.9 Skewness and Kurtosis (1539).mp4
41.43MB
6 - 11 - 2.10 Students-t Distribution (552).mp4
14.38MB
6 - 12 - 2.11 Linear Functions of Random Variables (1113).mp4
28.32MB
6 - 2 - 2.1 Univariate Random Variables (2011).mp4
54.41MB
6 - 3 - 2.2 Cumulative Distribution Function (842).mp4
23.33MB
6 - 4 - 2.3 Quantiles (750).mp4
20.15MB
6 - 5 - 2.4 Standard Normal Distribution (1602).mp4
43.61MB
6 - 6 - 2.5 Expected Value and Standard Deviation (1958).mp4
53.74MB
6 - 7 - 2.6 General Normal Distribution (623).mp4
15.92MB
6 - 8 - 2.7 Standard Deviation as a Measure of Risk (434).mp4
12.19MB
6 - 9 - 2.8 Normal Distribution Appropriate for simple returns (1422).mp4
36.55MB
7 - 1 - 2.12 Value at Risk (1948).mp4
53.74MB
8 - 1 - 3.0 Week 3 Introduction (104).mp4
3.56MB
8 - 2 - 3.1 Location-scale Model (1215).mp4
28.81MB
8 - 3 - 3.2 Bivariate Discrete Distributions (1418).mp4
45.6MB
8 - 4 - 3.3 Bivariate Continuous Distributions (1415).mp4
42.33MB
8 - 5 - 3.4 Covariance (1916).mp4
53.47MB
8 - 6 - 3.5 Correlation and the Bivariate Normal Distribution (1159).mp4
37.91MB
8 - 7 - 3.6 Linear Combination of 2 Random Variables (1109).mp4
28.74MB
8 - 8 - 3.7 Portfolio Example (1920).mp4
55.89MB
9 - 1 - 3.8 Matrix Algebra Review Part 1 (1702).mp4
44.99MB
9 - 2 - 3.9 Matrix Algebra Review Part 2 (2010).mp4
56.51MB
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