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Coursera - Introduction to Computational Finance and Financial E

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Coursera - Introduction to Computational Finance and Financial E

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Coursera - Introduction to Computational Finance and Financial E
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 0 - Resources
3firmExample.xls.xls
XLS
107.5 KB
An Introduction to R.pdf
PDF
607.64 KB
Descriptive Statistics Examples for Daily Data.pdf
PDF
572.06 KB
IntroPortfolioTheory.xls.xls
XLS
191.5 KB
PerformanceAnalytics Charts and Tables Reference.pdf
PDF
298.95 KB
Portfolio Theory Examples.pdf
PDF
210.3 KB
Portfolio Theory with Matrices Examples.pdf
PDF
325.16 KB
R Bootstrap Examples.pdf
PDF
98.49 KB
R CER Model Examples.pdf
PDF
250.62 KB
R Descriptive Statistics Examples.pdf
PDF
575.33 KB
R Examples for Portfolio Functions with no short sales.pdf
PDF
78.06 KB
R Hypothesis Testing Examples.pdf
PDF
130.26 KB
R Introduction.pdf
PDF
4.02 MB
R Matrix Examples.pdf
PDF
36.99 KB
R Portfolio Functions.pdf
PDF
52.31 KB
R Probability Examples.pdf
PDF
125 KB
R Time Series Examples.pdf
PDF
90.26 KB
R for Beginners.pdf
PDF
529.69 KB
RIntro.r
R
16.74 KB
Return Calculations Examples.xls
XLS
165.5 KB
Return Calulations in R.pdf
PDF
59.19 KB
Single Index Model Examples.pdf
PDF
415.21 KB
Statistical Analysis of Efficient Portfolios.pdf
PDF
115.99 KB
Using mvtnorm.pdf
PDF
267.91 KB
Week 10_ Estimating the Single Index Model.pdf
PDF
110.9 KB
Week 10_ Portfolio Risk Budgeting.pdf
PDF
125.99 KB
Week 10_ Single Index Model.pdf
PDF
76.44 KB
Week 1_ Return Calculations (Updated 9 11 2012).pdf
PDF
123.44 KB
Week 2_ Probability Review.pdf
PDF
154.02 KB
Week 3_ Matrix Review.pdf
PDF
119.49 KB
Week 3_ Probability Review Continued.pdf
PDF
99.2 KB
Week 4_ Time Series Concepts.pdf
PDF
73.65 KB
Week 5_ Descriptive Statistics.pdf
PDF
91.79 KB
Week 6_ Constant Expected Return Model.pdf
PDF
138.78 KB
Week 7_ Bootstrapping.pdf
PDF
64.44 KB
Week 7_ Hypothesis Testing.pdf
PDF
112.98 KB
Week 8_ Introduction to Portfolio Theory.pdf
PDF
118.66 KB
Week 8_ Portfolio Theory with Matrices.pdf
PDF
140.57 KB
Week 9_ Portfolio Theory with No Short Sales.pdf
PDF
69.62 KB
Week 9_ Statistical Analysis of Efficient Portfolios.pdf
PDF
58.58 KB
_index.webarchive
WEBARCHIVE
63.15 KB
bootStrap.r
R
7.63 KB
cerExample.csv.csv
CSV
2.2 KB
cerModelExamples.r
R
18.5 KB
descriptiveStatistics.r
R
15.34 KB
econ424lab1.r
R
5.31 KB
hypothesisTestingCER.r
R
9.27 KB
lab3.r
R
1.11 KB
lab4.r
R
2.26 KB
lab5.r
R
7.56 KB
lab7.r
R
13.05 KB
lab8.r
R
5.41 KB
lab8returns.csv.csv
CSV
3.17 KB
lab9.r
R
3.17 KB
lab9returns.csv.csv
CSV
3.32 KB
matrixReview.r
R
3.8 KB
matrixReview.xlsx.xlsx
XLSX
9.97 KB
portfolio.r
R
13.01 KB
portfolioTheoryNoShortSales.r
R
2.95 KB
portfolio_noshorts.r
R
14.94 KB
probReview.r
R
13.59 KB
probReview.xls.xls
XLS
238 KB
returnCalculations.r
R
5.94 KB
rollingPortfolios.r
R
4.11 KB
singleIndex.r
R
9.44 KB
singleIndexPrices.xls.xls
XLS
22 KB
testport.r
R
4.52 KB
timeSeriesConcepts.r
R
5.45 KB
xts_ Extensible Time Series.pdf
PDF
200.88 KB
zoo Quick Reference.pdf
PDF
71.08 KB
zoo_ An S3 Class and Methods for Indexed Totally Ordered Observations..pdf
PDF
225.66 KB
1 - 1 - Welcome to Introduction to Computational Finance and Financial Econometrics (1314).mp4
MP4
24.44 MB
10 - 1 - 4.0 Week 4 Introduction (211).mp4
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7.48 MB
10 - 1 - 4.0 Week 4 Introduction (211).srt
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3.22 KB
10 - 2 - 4.1 Matrix Algebra Portfolio Math (2114).mp4
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52.61 MB
10 - 2 - 4.1 Matrix Algebra Portfolio Math (2114).srt
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22.47 KB
10 - 3 - 4.2 Matrix Algebra Bivariate Normal (726).mp4
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21.61 MB
10 - 3 - 4.2 Matrix Algebra Bivariate Normal (726).srt
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11 - 1 - 4.3 Time Series Concepts (1648).mp4
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45.52 MB
11 - 1 - 4.3 Time Series Concepts (1648).srt
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11 - 2 - 4.4 Autocorrelation (914).mp4
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11 - 2 - 4.4 Autocorrelation (914).srt
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11 - 3 - 4.5 White Noise Processes (1231).mp4
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11 - 3 - 4.5 White Noise Processes (1231).srt
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11 - 4 - 4.6 Nonstationary Processes (1729).mp4
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11 - 4 - 4.6 Nonstationary Processes (1729).srt
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11 - 5 - 4.7 Moving Average Processes (2545).mp4
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11 - 5 - 4.7 Moving Average Processes (2545).srt
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11 - 6 - 4.8 Autoregressive Processes Part 1 (319).mp4
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11 - 6 - 4.8 Autoregressive Processes Part 1 (319).srt
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11 - 7 - 4.9 Autoregressive Processes Part 2 (2819).mp4
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11 - 7 - 4.9 Autoregressive Processes Part 2 (2819).srt
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12 - 1 - 5.0 Week 5 Introduction.mp4
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11.79 MB
12 - 2 - 5.1 Covariance Stationarity (1128).mp4
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12 - 2 - 5.1 Covariance Stationarity (1128).srt
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12 - 3 - 5.2 Histograms (1133).mp4
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12 - 3 - 5.2 Histograms (1133).srt
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12 - 4 - 5.3 Sample Statistics (1524).mp4
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12 - 4 - 5.3 Sample Statistics (1524).srt
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12 - 5 - 5.4 Empirical CDF and QQ plots (1200).mp4
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12 - 5 - 5.4 Empirical CDF and QQ plots (1200).srt
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12 - 6 - 5.5 Outliers Part 1 (715).mp4
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12 - 6 - 5.5 Outliers Part 1 (715).srt
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12 - 7 - 5.6 Outliers Part 2 (739).mp4
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12 - 7 - 5.6 Outliers Part 2 (739).srt
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12 - 8 - 5.7 Graphical Measures (2317).mp4
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12 - 8 - 5.7 Graphical Measures (2317).srt
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12 - 9 - 5.8 Descriptive Statistics for Daily Data (2417).mp4
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12 - 9 - 5.8 Descriptive Statistics for Daily Data (2417).srt
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13 - 1 - 6.0 Week 6 Introduction.mp4
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13 - 10 - 6.9 Confidence Intervals (1247).mp4
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13 - 10 - 6.9 Confidence Intervals (1247).srt
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13 - 11 - 6.10 Monte Carlo Simulation (1527).mp4
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13 - 11 - 6.10 Monte Carlo Simulation (1527).srt
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13 - 12 - 6.11 Value at Risk in CER model (736).mp4
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13 - 12 - 6.11 Value at Risk in CER model (736).srt
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13 - 2 - 6.1 Constant Expected Return Model (1407).mp4
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13 - 2 - 6.1 Constant Expected Return Model (1407).srt
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13 - 3 - 6.2 Simulating Data (1214).mp4
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13 - 3 - 6.2 Simulating Data (1214).srt
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13 - 4 - 6.3 Random Walk Model (538).mp4
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13 - 4 - 6.3 Random Walk Model (538).srt
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13 - 5 - 6.4 Estimating Parameters of CER (1859).mp4
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13 - 5 - 6.4 Estimating Parameters of CER (1859).srt
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13 - 6 - 6.5 Bias and Precision (1302).mp4
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13 - 6 - 6.5 Bias and Precision (1302).srt
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13 - 7 - 6.6 Mean Squared Error (122).mp4
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13 - 7 - 6.6 Mean Squared Error (122).srt
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13 - 8 - 6.7 Standard Errors (2212).mp4
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13 - 8 - 6.7 Standard Errors (2212).srt
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13 - 9 - 6.8 Asymptotic Properties of Estimators (1411) .mp4
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13 - 9 - 6.8 Asymptotic Properties of Estimators (1411) .srt
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14 - 1 - 7.0 Week 7 Introduction (243).mp4
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14 - 1 - 7.0 Week 7 Introduction (243).srt
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14 - 2 - 7.1 Bootstrap (2606).mp4
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14 - 2 - 7.1 Bootstrap (2606).srt
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14 - 3 - 7.2 Performing the Bootstrap in R (1810).mp4
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14 - 3 - 7.2 Performing the Bootstrap in R (1810).srt
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14 - 4 - 7.3 Boostrapping VaR (844).mp4
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27.43 MB
14 - 4 - 7.3 Boostrapping VaR (844).srt
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15 - 1 - 7.4 Hypothesis Testing Introduction (829).mp4
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25.92 MB
15 - 1 - 7.4 Hypothesis Testing Introduction (829).srt
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15 - 2 - 7.5 Hypothesis Testing Overview (906).mp4
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15 - 2 - 7.5 Hypothesis Testing Overview (906).srt
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15 - 3 - 7.6 Hypothesis Testing CER Model (1047).mp4
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15 - 3 - 7.6 Hypothesis Testing CER Model (1047).srt
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15 - 4 - 7.7 Chi-square and Students t distributions (516).mp4
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15 - 4 - 7.7 Chi-square and Students t distributions (516).srt
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15 - 5 - 7.8 Test of Specific Coefficient Value (2607).mp4
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15 - 5 - 7.8 Test of Specific Coefficient Value (2607).srt
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15 - 6 - 7.9 Test for Normal Distribution (836).mp4
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15 - 6 - 7.9 Test for Normal Distribution (836).srt
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15 - 7 - 7.10 Test for No Autocorrelation (536).mp4
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15 - 7 - 7.10 Test for No Autocorrelation (536).srt
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15 - 8 - 7.11 Diagnostics for Constant Parameters (2221).mp4
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15 - 8 - 7.11 Diagnostics for Constant Parameters (2221).srt
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16 - 1 - 8.0 Week 8 Introduction (257).mp4
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16 - 1 - 8.0 Week 8 Introduction (257).srt
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16 - 10 - 8.9 Tangency Portfolio (1733).mp4
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16 - 10 - 8.9 Tangency Portfolio (1733).srt
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16 - 11 - 8.10 Examples (1011).mp4
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16 - 11 - 8.10 Examples (1011).srt
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16 - 12 - 8.11 Portfolio Theory with Matrix Algebra Part 1 (1526).mp4
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16 - 12 - 8.11 Portfolio Theory with Matrix Algebra Part 1 (1526).srt
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16 - 13 - 8.12 Portfolio Theory with Matrix Algebra Part 2 (1554).mp4
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16 - 13 - 8.12 Portfolio Theory with Matrix Algebra Part 2 (1554).srt
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16 - 14 - 8.13 Portfolio Theory with Matrix Algebra Part 3 (1634).mp4
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16 - 14 - 8.13 Portfolio Theory with Matrix Algebra Part 3 (1634).srt
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16 - 15 - Brief Comment about Excel Solver Add-in (212).mp4
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16 - 15 - Brief Comment about Excel Solver Add-in (212).srt
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16 - 2 - 8.1 Introduction to Portfolio Theory (1435).mp4
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16 - 2 - 8.1 Introduction to Portfolio Theory (1435).srt
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16 - 3 - 8.2 Portfolio Examples (608).mp4
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16 - 3 - 8.2 Portfolio Examples (608).srt
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16 - 4 - 8.3 Portfolio Value-at-Risk (611).mp4
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16 - 4 - 8.3 Portfolio Value-at-Risk (611).srt
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16 - 5 - 8.4 Portfolio Frontier (1028).mp4
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16 - 5 - 8.4 Portfolio Frontier (1028).srt
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16 - 6 - 8.5 Efficient Portfolios (1000).mp4
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16 - 6 - 8.5 Efficient Portfolios (1000).srt
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16 - 7 - 8.6 Minimum Variance Portfolio (1243).mp4
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16 - 7 - 8.6 Minimum Variance Portfolio (1243).srt
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16 - 8 - 8.7 Portfolios with a Risk Free Asset Part 1 (724).mp4
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16 - 8 - 8.7 Portfolios with a Risk Free Asset Part 1 (724).srt
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16 - 9 - 8.8 Portfolios with a Risk Free Asset Part 2 (1832).mp4
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16 - 9 - 8.8 Portfolios with a Risk Free Asset Part 2 (1832).srt
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17 - 1 - 9.0 Week 9 Introduction (359).mp4
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10.97 MB
17 - 2 - 9.1 Computing the Portfolio Frontier (2653).mp4
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51.61 MB
17 - 2 - 9.1 Computing the Portfolio Frontier (2653).srt
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17 - 3 - 9.2 Computing the Tangency Portfolio (2211).mp4
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17 - 3 - 9.2 Computing the Tangency Portfolio (2211).srt
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17 - 4 - 9.3 Mutual Fund Separation Theorem and Examples (1104).mp4
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21.64 MB
17 - 4 - 9.3 Mutual Fund Separation Theorem and Examples (1104).srt
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13.86 KB
17 - 5 - 9.4 Portfolio Analysis in R (843).mp4
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21.37 MB
17 - 5 - 9.4 Portfolio Analysis in R (843).srt
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17 - 6 - 9.5 Portfolio Analysis in Excel Part 1 (1314).mp4
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17 - 6 - 9.5 Portfolio Analysis in Excel Part 1 (1314).srt
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17 - 7 - 9.6 Portfolio Analysis in Excel Part 2 (854).mp4
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28.05 MB
17 - 7 - 9.6 Portfolio Analysis in Excel Part 2 (854).srt
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18 - 1 - 9.7 Portfolio Theory with No Short Sales (1315).mp4
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32.82 MB
18 - 1 - 9.7 Portfolio Theory with No Short Sales (1315).srt
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18 - 2 - 9.8 R packages for Portfolio Theory (643).mp4
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18.13 MB
18 - 2 - 9.8 R packages for Portfolio Theory (643).srt
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18 - 3 - 9.9 Using Solve.QP() in R (1019).mp4
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23.52 MB
18 - 3 - 9.9 Using Solve.QP() in R (1019).srt
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18 - 4 - 9.10 Global minimum variance (816).mp4
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18 - 4 - 9.10 Global minimum variance (816).srt
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18 - 5 - 9.11 Efficient Frontier (856).mp4
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18 - 5 - 9.11 Efficient Frontier (856).srt
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19 - 1 - 9.12 Statistical Analysis of Efficient Portfolios (835).mp4
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19 - 1 - 9.12 Statistical Analysis of Efficient Portfolios (835).srt
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19 - 2 - 9.13 Bootstrapping Efficient Portfolios (2201).mp4
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19 - 2 - 9.13 Bootstrapping Efficient Portfolios (2201).srt
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19 - 3 - 9.14 Efficient Portfolios Over Time (1801).mp4
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19 - 3 - 9.14 Efficient Portfolios Over Time (1801).srt
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2 - 1 - 1.0 Week 1 Introduction (058).mp4
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2.22 MB
20 - 1 - 10.0 Week 10 Introduction (150).mp4
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20 - 1 - 10.0 Week 10 Introduction (150).srt
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20 - 2 - 10.1 Portfolio Risk Budgeting (1059).mp4
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20 - 2 - 10.1 Portfolio Risk Budgeting (1059).srt
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20 - 3 - 10.2 Eulers Theorem and Risk Decomposition (1720).mp4
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20 - 3 - 10.2 Eulers Theorem and Risk Decomposition (1720).srt
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20 - 4 - 10.3 Risk Decomposition for Portfolio Volatility (912).mp4
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20 - 4 - 10.3 Risk Decomposition for Portfolio Volatility (912).srt
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20 - 5 - 10.4 Using and Interpreting Marginal Contribution to Risk (1211).mp4
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20 - 5 - 10.4 Using and Interpreting Marginal Contribution to Risk (1211).srt
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20 - 6 - 10.5 Beta (1914).mp4
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20 - 6 - 10.5 Beta (1914).srt
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21 - 1 - 10.6 Sharpes Single Index Model (1048).mp4
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21 - 1 - 10.6 Sharpes Single Index Model (1048).srt
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21 - 10 - 10.15 A Single Index Model Portfolio Example (554).mp4
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21 - 10 - 10.15 A Single Index Model Portfolio Example (554).srt
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21 - 11 - 10.16 Estimating the Single Index Model Covariance Matrix (456).mp4
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21 - 11 - 10.16 Estimating the Single Index Model Covariance Matrix (456).srt
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21 - 12 - 10.17 Hypothesis Testing in the Single Index Model (1334).mp4
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21 - 12 - 10.17 Hypothesis Testing in the Single Index Model (1334).srt
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21 - 2 - 10.7 Statistical Properties of the Single Index Model (1220).mp4
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21 - 2 - 10.7 Statistical Properties of the Single Index Model (1220).srt
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21 - 3 - 10.8 Decomposition of Total Variance (942).mp4
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21 - 3 - 10.8 Decomposition of Total Variance (942).srt
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21 - 4 - 10.9 The Single Index Model and Portfolios (751).mp4
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21 - 4 - 10.9 The Single Index Model and Portfolios (751).srt
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21 - 5 - 10.10 Estimating the Single Index Model (1233).mp4
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21 - 5 - 10.10 Estimating the Single Index Model (1233).srt
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21 - 6 - 10.11 Examples with the Single Index Model (1803).mp4
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21 - 6 - 10.11 Examples with the Single Index Model (1803).srt
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21 - 7 - 10.12 Least Squares Estimation of Single Index Model Parameters (2106).mp4
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21 - 8 - 10.13 Statistical Properties of Least Square Estimates (831).mp4
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21 - 8 - 10.13 Statistical Properties of Least Square Estimates (831).srt
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21 - 9 - 10.14 Using Matrix Algebra with the Single Index Model (356).mp4
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21 - 9 - 10.14 Using Matrix Algebra with the Single Index Model (356).srt
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3 - 1 - 1.1 Future Value Present Value and Compounding (1702).mp4
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3 - 1 - 1.1 Future Value Present Value and Compounding (1702).srt
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3 - 2 - 1.2 Asset Returns (1653).mp4
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3 - 2 - 1.2 Asset Returns (1653).srt
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3 - 3 - 1.3 Portfolio Returns (912).mp4
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3 - 3 - 1.3 Portfolio Returns (912).srt
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3 - 4 - 1.4 Dividends (400).mp4
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3 - 4 - 1.4 Dividends (400).srt
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3 - 5 - 1.5 Inflation (457).mp4
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3 - 5 - 1.5 Inflation (457).srt
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3 - 6 - 1.6 Annualizing Returns (532).mp4
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3 - 6 - 1.6 Annualizing Returns (532).srt
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4 - 1 - 1.7 Continuously Compounded Returns (1555).mp4
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4 - 2 - 1.8 CC Portfolio Returns and Inflation (550).mp4
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4 - 2 - 1.8 CC Portfolio Returns and Inflation (550).srt
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5 - 1 - 1.9 Simple Returns (401).mp4
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5 - 2 - 1.10 Getting Financial Data from Yahoo (1026).mp4
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5 - 3 - 1.11 Return Calculations (621).mp4
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5 - 3 - 1.11 Return Calculations (621).srt
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5 - 4 - 1.12 Growth of 1 (658).mp4
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5 - 4 - 1.12 Growth of 1 (658).srt
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6 - 1 - 2.0 Week 2 Introduction (106).mp4
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6 - 10 - 2.9 Skewness and Kurtosis (1539).mp4
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6 - 10 - 2.9 Skewness and Kurtosis (1539).srt
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6 - 11 - 2.10 Students-t Distribution (552).mp4
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6 - 11 - 2.10 Students-t Distribution (552).srt
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6 - 12 - 2.11 Linear Functions of Random Variables (1113).mp4
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6 - 12 - 2.11 Linear Functions of Random Variables (1113).srt
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6 - 2 - 2.1 Univariate Random Variables (2011).mp4
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6 - 2 - 2.1 Univariate Random Variables (2011).srt
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6 - 3 - 2.2 Cumulative Distribution Function (842).mp4
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6 - 3 - 2.2 Cumulative Distribution Function (842).srt
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6 - 4 - 2.3 Quantiles (750).mp4
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6 - 4 - 2.3 Quantiles (750).srt
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6 - 5 - 2.4 Standard Normal Distribution (1602).mp4
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6 - 5 - 2.4 Standard Normal Distribution (1602).srt
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6 - 6 - 2.5 Expected Value and Standard Deviation (1958).mp4
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6 - 7 - 2.6 General Normal Distribution (623).mp4
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6 - 7 - 2.6 General Normal Distribution (623).srt
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8.03 KB
6 - 8 - 2.7 Standard Deviation as a Measure of Risk (434).mp4
MP4
12.19 MB
6 - 8 - 2.7 Standard Deviation as a Measure of Risk (434).srt
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5.68 KB
6 - 9 - 2.8 Normal Distribution Appropriate for simple returns (1422).mp4
MP4
36.55 MB
6 - 9 - 2.8 Normal Distribution Appropriate for simple returns (1422).srt
SRT
19.03 KB
7 - 1 - 2.12 Value at Risk (1948).mp4
MP4
53.74 MB
7 - 1 - 2.12 Value at Risk (1948).srt
SRT
25.03 KB
8 - 1 - 3.0 Week 3 Introduction (104).mp4
MP4
3.56 MB
8 - 1 - 3.0 Week 3 Introduction (104).srt
SRT
1.68 KB
8 - 2 - 3.1 Location-scale Model (1215).mp4
MP4
28.81 MB
8 - 2 - 3.1 Location-scale Model (1215).srt
SRT
12.25 KB
8 - 3 - 3.2 Bivariate Discrete Distributions (1418).mp4
MP4
45.6 MB
8 - 3 - 3.2 Bivariate Discrete Distributions (1418).srt
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18.53 KB
8 - 4 - 3.3 Bivariate Continuous Distributions (1415).mp4
MP4
42.33 MB
8 - 4 - 3.3 Bivariate Continuous Distributions (1415).srt
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16.69 KB
8 - 5 - 3.4 Covariance (1916).mp4
MP4
53.47 MB
8 - 5 - 3.4 Covariance (1916).srt
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22.56 KB
8 - 6 - 3.5 Correlation and the Bivariate Normal Distribution (1159).mp4
MP4
37.91 MB
8 - 6 - 3.5 Correlation and the Bivariate Normal Distribution (1159).srt
SRT
14.13 KB
8 - 7 - 3.6 Linear Combination of 2 Random Variables (1109).mp4
MP4
28.74 MB
8 - 7 - 3.6 Linear Combination of 2 Random Variables (1109).srt
SRT
11.42 KB
8 - 8 - 3.7 Portfolio Example (1920).mp4
MP4
55.89 MB
8 - 8 - 3.7 Portfolio Example (1920).srt
SRT
24.96 KB
9 - 1 - 3.8 Matrix Algebra Review Part 1 (1702).mp4
MP4
44.99 MB
9 - 1 - 3.8 Matrix Algebra Review Part 1 (1702).srt
SRT
21.84 KB
9 - 2 - 3.9 Matrix Algebra Review Part 2 (2010).mp4
MP4
56.51 MB
9 - 2 - 3.9 Matrix Algebra Review Part 2 (2010).srt
SRT
24.46 KB
_index.webarchive
WEBARCHIVE
137.44 KB

Description

Related Torrents

TORRENT NAME SIZE FILES AGE SEED LEECH SOURCE
Coursera Introduction to music production part 6
Posted by parazit01 in Movies - Other Movies
Posted in Movies - Other Movies
file_upload 0
storage 95.45 MB
access_time 12 years ago
person parazit01
Size 95.45 MB
Files 6
Age 12 years ago
Seeds 0
Leechs 1
Source

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udp://tracker.coppersurfer.tk:6969/announce
udp://9.rarbg.me:2850/announce
udp://9.rarbg.to:2920/announce
udp://tracker.opentrackr.org:1337
udp://tracker.leechers-paradise.org:6969/announce
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Audio Quality
0/10
Video Quality
0/10

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