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Title Introduction to Computational Finance and Financial Econometrics
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Size 3.91GB

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_index.webarchive 63.15KB
_index.webarchive 137.44KB
10 - 1 - 4.0 Week 4 Introduction (211).mp4 7.48MB
10 - 1 - 4.0 Week 4 Introduction (211).srt 3.22KB
10 - 2 - 4.1 Matrix Algebra Portfolio Math (2114).mp4 52.61MB
10 - 2 - 4.1 Matrix Algebra Portfolio Math (2114).srt 22.47KB
10 - 3 - 4.2 Matrix Algebra Bivariate Normal (726).mp4 21.61MB
10 - 3 - 4.2 Matrix Algebra Bivariate Normal (726).srt 8.22KB
11 - 1 - 4.3 Time Series Concepts (1648).mp4 45.52MB
11 - 1 - 4.3 Time Series Concepts (1648).srt 20.16KB
11 - 2 - 4.4 Autocorrelation (914).mp4 24.18MB
11 - 2 - 4.4 Autocorrelation (914).srt 10.52KB
11 - 3 - 4.5 White Noise Processes (1231).mp4 38.73MB
11 - 3 - 4.5 White Noise Processes (1231).srt 15.59KB
11 - 4 - 4.6 Nonstationary Processes (1729).mp4 47.63MB
11 - 4 - 4.6 Nonstationary Processes (1729).srt 20.74KB
11 - 5 - 4.7 Moving Average Processes (2545).mp4 65.44MB
11 - 5 - 4.7 Moving Average Processes (2545).srt 27.80KB
11 - 6 - 4.8 Autoregressive Processes Part 1 (319).mp4 9.25MB
11 - 6 - 4.8 Autoregressive Processes Part 1 (319).srt 3.97KB
11 - 7 - 4.9 Autoregressive Processes Part 2 (2819).mp4 77.56MB
11 - 7 - 4.9 Autoregressive Processes Part 2 (2819).srt 31.90KB
1 - 1 - Welcome to Introduction to Computational Finance and Financial Econometrics (1314).mp4 24.44MB
12 - 1 - 5.0 Week 5 Introduction.mp4 11.79MB
12 - 2 - 5.1 Covariance Stationarity (1128).mp4 37.82MB
12 - 2 - 5.1 Covariance Stationarity (1128).srt 15.89KB
12 - 3 - 5.2 Histograms (1133).mp4 35.24MB
12 - 3 - 5.2 Histograms (1133).srt 15.10KB
12 - 4 - 5.3 Sample Statistics (1524).mp4 46.76MB
12 - 4 - 5.3 Sample Statistics (1524).srt 21.13KB
12 - 5 - 5.4 Empirical CDF and QQ plots (1200).mp4 38.07MB
12 - 5 - 5.4 Empirical CDF and QQ plots (1200).srt 14.86KB
12 - 6 - 5.5 Outliers Part 1 (715).mp4 74.73MB
12 - 6 - 5.5 Outliers Part 1 (715).srt 9.65KB
12 - 7 - 5.6 Outliers Part 2 (739).mp4 22.47MB
12 - 7 - 5.6 Outliers Part 2 (739).srt 10.41KB
12 - 8 - 5.7 Graphical Measures (2317).mp4 70.26MB
12 - 8 - 5.7 Graphical Measures (2317).srt 30.73KB
12 - 9 - 5.8 Descriptive Statistics for Daily Data (2417).mp4 76.14MB
12 - 9 - 5.8 Descriptive Statistics for Daily Data (2417).srt 32.19KB
13 - 10 - 6.9 Confidence Intervals (1247).mp4 40.19MB
13 - 10 - 6.9 Confidence Intervals (1247).srt 16.76KB
13 - 11 - 6.10 Monte Carlo Simulation (1527).mp4 43.86MB
13 - 11 - 6.10 Monte Carlo Simulation (1527).srt 21.53KB
13 - 12 - 6.11 Value at Risk in CER model (736).mp4 22.13MB
13 - 12 - 6.11 Value at Risk in CER model (736).srt 9.47KB
13 - 1 - 6.0 Week 6 Introduction.mp4 12.81MB
13 - 2 - 6.1 Constant Expected Return Model (1407).mp4 39.95MB
13 - 2 - 6.1 Constant Expected Return Model (1407).srt 16.24KB
13 - 3 - 6.2 Simulating Data (1214).mp4 32.95MB
13 - 3 - 6.2 Simulating Data (1214).srt 15.45KB
13 - 4 - 6.3 Random Walk Model (538).mp4 16.54MB
13 - 4 - 6.3 Random Walk Model (538).srt 7.03KB
13 - 5 - 6.4 Estimating Parameters of CER (1859).mp4 56.99MB
13 - 5 - 6.4 Estimating Parameters of CER (1859).srt 25.08KB
13 - 6 - 6.5 Bias and Precision (1302).mp4 33.55MB
13 - 6 - 6.5 Bias and Precision (1302).srt 14.39KB
13 - 7 - 6.6 Mean Squared Error (122).mp4 3.26MB
13 - 7 - 6.6 Mean Squared Error (122).srt 1.58KB
13 - 8 - 6.7 Standard Errors (2212).mp4 69.20MB
13 - 8 - 6.7 Standard Errors (2212).srt 27.90KB
13 - 9 - 6.8 Asymptotic Properties of Estimators (1411) .mp4 41.68MB
13 - 9 - 6.8 Asymptotic Properties of Estimators (1411) .srt 17.84KB
14 - 1 - 7.0 Week 7 Introduction (243).mp4 8.31MB
14 - 1 - 7.0 Week 7 Introduction (243).srt 4.02KB
14 - 2 - 7.1 Bootstrap (2606).mp4 81.19MB
14 - 2 - 7.1 Bootstrap (2606).srt 34.72KB
14 - 3 - 7.2 Performing the Bootstrap in R (1810).mp4 54.95MB
14 - 3 - 7.2 Performing the Bootstrap in R (1810).srt 21.42KB
14 - 4 - 7.3 Boostrapping VaR (844).mp4 27.43MB
14 - 4 - 7.3 Boostrapping VaR (844).srt 10.35KB
15 - 1 - 7.4 Hypothesis Testing Introduction (829).mp4 25.92MB
15 - 1 - 7.4 Hypothesis Testing Introduction (829).srt 12.23KB
15 - 2 - 7.5 Hypothesis Testing Overview (906).mp4 26.65MB
15 - 2 - 7.5 Hypothesis Testing Overview (906).srt 12.43KB
15 - 3 - 7.6 Hypothesis Testing CER Model (1047).mp4 31.63MB
15 - 3 - 7.6 Hypothesis Testing CER Model (1047).srt 15.35KB
15 - 4 - 7.7 Chi-square and Students t distributions (516).mp4 14.11MB
15 - 4 - 7.7 Chi-square and Students t distributions (516).srt 6.80KB
15 - 5 - 7.8 Test of Specific Coefficient Value (2607).mp4 77.22MB
15 - 5 - 7.8 Test of Specific Coefficient Value (2607).srt 32.71KB
15 - 6 - 7.9 Test for Normal Distribution (836).mp4 24.55MB
15 - 6 - 7.9 Test for Normal Distribution (836).srt 11.09KB
15 - 7 - 7.10 Test for No Autocorrelation (536).mp4 16.51MB
15 - 7 - 7.10 Test for No Autocorrelation (536).srt 6.81KB
15 - 8 - 7.11 Diagnostics for Constant Parameters (2221).mp4 73.51MB
15 - 8 - 7.11 Diagnostics for Constant Parameters (2221).srt 27.51KB
16 - 10 - 8.9 Tangency Portfolio (1733).mp4 35.78MB
16 - 10 - 8.9 Tangency Portfolio (1733).srt 21.53KB
16 - 11 - 8.10 Examples (1011).mp4 19.22MB
16 - 11 - 8.10 Examples (1011).srt 12.86KB
16 - 12 - 8.11 Portfolio Theory with Matrix Algebra Part 1 (1526).mp4 29.95MB
16 - 12 - 8.11 Portfolio Theory with Matrix Algebra Part 1 (1526).srt 21.37KB
16 - 13 - 8.12 Portfolio Theory with Matrix Algebra Part 2 (1554).mp4 31.64MB
16 - 13 - 8.12 Portfolio Theory with Matrix Algebra Part 2 (1554).srt 20.59KB
16 - 14 - 8.13 Portfolio Theory with Matrix Algebra Part 3 (1634).mp4 33.93MB
16 - 14 - 8.13 Portfolio Theory with Matrix Algebra Part 3 (1634).srt 21.23KB
16 - 15 - Brief Comment about Excel Solver Add-in (212).mp4 5.44MB
16 - 15 - Brief Comment about Excel Solver Add-in (212).srt 2.96KB
16 - 1 - 8.0 Week 8 Introduction (257).mp4 8.40MB
16 - 1 - 8.0 Week 8 Introduction (257).srt 4.02KB
16 - 2 - 8.1 Introduction to Portfolio Theory (1435).mp4 26.56MB
16 - 2 - 8.1 Introduction to Portfolio Theory (1435).srt 20.95KB
16 - 3 - 8.2 Portfolio Examples (608).mp4 12.89MB
16 - 3 - 8.2 Portfolio Examples (608).srt 8.38KB
16 - 4 - 8.3 Portfolio Value-at-Risk (611).mp4 12.73MB
16 - 4 - 8.3 Portfolio Value-at-Risk (611).srt 7.82KB
16 - 5 - 8.4 Portfolio Frontier (1028).mp4 20.35MB
16 - 5 - 8.4 Portfolio Frontier (1028).srt 13.99KB
16 - 6 - 8.5 Efficient Portfolios (1000).mp4 18.84MB
16 - 6 - 8.5 Efficient Portfolios (1000).srt 11.83KB
16 - 7 - 8.6 Minimum Variance Portfolio (1243).mp4 23.95MB
16 - 7 - 8.6 Minimum Variance Portfolio (1243).srt 17.47KB
16 - 8 - 8.7 Portfolios with a Risk Free Asset Part 1 (724).mp4 11.94MB
16 - 8 - 8.7 Portfolios with a Risk Free Asset Part 1 (724).srt 9.56KB
16 - 9 - 8.8 Portfolios with a Risk Free Asset Part 2 (1832).mp4 36.47MB
16 - 9 - 8.8 Portfolios with a Risk Free Asset Part 2 (1832).srt 24.56KB
17 - 1 - 9.0 Week 9 Introduction (359).mp4 10.97MB
17 - 2 - 9.1 Computing the Portfolio Frontier (2653).mp4 51.61MB
17 - 2 - 9.1 Computing the Portfolio Frontier (2653).srt 36.19KB
17 - 3 - 9.2 Computing the Tangency Portfolio (2211).mp4 46.19MB
17 - 3 - 9.2 Computing the Tangency Portfolio (2211).srt 25.27KB
17 - 4 - 9.3 Mutual Fund Separation Theorem and Examples (1104).mp4 21.64MB
17 - 4 - 9.3 Mutual Fund Separation Theorem and Examples (1104).srt 13.86KB
17 - 5 - 9.4 Portfolio Analysis in R (843).mp4 21.37MB
17 - 5 - 9.4 Portfolio Analysis in R (843).srt 12.69KB
17 - 6 - 9.5 Portfolio Analysis in Excel Part 1 (1314).mp4 39.93MB
17 - 6 - 9.5 Portfolio Analysis in Excel Part 1 (1314).srt 17.82KB
17 - 7 - 9.6 Portfolio Analysis in Excel Part 2 (854).mp4 28.05MB
17 - 7 - 9.6 Portfolio Analysis in Excel Part 2 (854).srt 10.27KB
18 - 1 - 9.7 Portfolio Theory with No Short Sales (1315).mp4 32.82MB
18 - 1 - 9.7 Portfolio Theory with No Short Sales (1315).srt 17.36KB
18 - 2 - 9.8 R packages for Portfolio Theory (643).mp4 18.13MB
18 - 2 - 9.8 R packages for Portfolio Theory (643).srt 8.93KB
18 - 3 - 9.9 Using Solve.QP() in R (1019).mp4 23.52MB
18 - 3 - 9.9 Using Solve.QP() in R (1019).srt 12.52KB
18 - 4 - 9.10 Global minimum variance (816).mp4 21.69MB
18 - 4 - 9.10 Global minimum variance (816).srt 11.02KB
18 - 5 - 9.11 Efficient Frontier (856).mp4 23.10MB
18 - 5 - 9.11 Efficient Frontier (856).srt 11.53KB
19 - 1 - 9.12 Statistical Analysis of Efficient Portfolios (835).mp4 20.68MB
19 - 1 - 9.12 Statistical Analysis of Efficient Portfolios (835).srt 12.67KB
19 - 2 - 9.13 Bootstrapping Efficient Portfolios (2201).mp4 51.99MB
19 - 2 - 9.13 Bootstrapping Efficient Portfolios (2201).srt 28.77KB
19 - 3 - 9.14 Efficient Portfolios Over Time (1801).mp4 42.91MB
19 - 3 - 9.14 Efficient Portfolios Over Time (1801).srt 25.20KB
20 - 1 - 10.0 Week 10 Introduction (150).mp4 4.97MB
20 - 1 - 10.0 Week 10 Introduction (150).srt 2.29KB
20 - 2 - 10.1 Portfolio Risk Budgeting (1059).mp4 23.85MB
20 - 2 - 10.1 Portfolio Risk Budgeting (1059).srt 14.47KB
20 - 3 - 10.2 Eulers Theorem and Risk Decomposition (1720).mp4 33.38MB
20 - 3 - 10.2 Eulers Theorem and Risk Decomposition (1720).srt 22.95KB
20 - 4 - 10.3 Risk Decomposition for Portfolio Volatility (912).mp4 18.77MB
20 - 4 - 10.3 Risk Decomposition for Portfolio Volatility (912).srt 12.46KB
20 - 5 - 10.4 Using and Interpreting Marginal Contribution to Risk (1211).mp4 23.36MB
20 - 5 - 10.4 Using and Interpreting Marginal Contribution to Risk (1211).srt 16.46KB
20 - 6 - 10.5 Beta (1914).mp4 34.29MB
20 - 6 - 10.5 Beta (1914).srt 23.55KB
2 - 1 - 1.0 Week 1 Introduction (058).mp4 2.22MB
21 - 10 - 10.15 A Single Index Model Portfolio Example (554).mp4 12.55MB
21 - 10 - 10.15 A Single Index Model Portfolio Example (554).srt 7.56KB
21 - 1 - 10.6 Sharpes Single Index Model (1048).mp4 20.38MB
21 - 1 - 10.6 Sharpes Single Index Model (1048).srt 14.84KB
21 - 11 - 10.16 Estimating the Single Index Model Covariance Matrix (456).mp4 11.66MB
21 - 11 - 10.16 Estimating the Single Index Model Covariance Matrix (456).srt 6.57KB
21 - 12 - 10.17 Hypothesis Testing in the Single Index Model (1334).mp4 27.20MB
21 - 12 - 10.17 Hypothesis Testing in the Single Index Model (1334).srt 17.26KB
21 - 2 - 10.7 Statistical Properties of the Single Index Model (1220).mp4 23.47MB
21 - 2 - 10.7 Statistical Properties of the Single Index Model (1220).srt 15.92KB
21 - 3 - 10.8 Decomposition of Total Variance (942).mp4 18.26MB
21 - 3 - 10.8 Decomposition of Total Variance (942).srt 12.45KB
21 - 4 - 10.9 The Single Index Model and Portfolios (751).mp4 14.42MB
21 - 4 - 10.9 The Single Index Model and Portfolios (751).srt 9.33KB
21 - 5 - 10.10 Estimating the Single Index Model (1233).mp4 25.05MB
21 - 5 - 10.10 Estimating the Single Index Model (1233).srt 17.37KB
21 - 6 - 10.11 Examples with the Single Index Model (1803).mp4 38.42MB
21 - 6 - 10.11 Examples with the Single Index Model (1803).srt 23.70KB
21 - 7 - 10.12 Least Squares Estimation of Single Index Model Parameters (2106).mp4 43.86MB
21 - 7 - 10.12 Least Squares Estimation of Single Index Model Parameters (2106).srt 28.71KB
21 - 8 - 10.13 Statistical Properties of Least Square Estimates (831).mp4 17.96MB
21 - 8 - 10.13 Statistical Properties of Least Square Estimates (831).srt 11.23KB
21 - 9 - 10.14 Using Matrix Algebra with the Single Index Model (356).mp4 7.35MB
21 - 9 - 10.14 Using Matrix Algebra with the Single Index Model (356).srt 4.83KB
3 - 1 - 1.1 Future Value Present Value and Compounding (1702).mp4 53.51MB
3 - 1 - 1.1 Future Value Present Value and Compounding (1702).srt 21.46KB
3 - 2 - 1.2 Asset Returns (1653).mp4 48.67MB
3 - 2 - 1.2 Asset Returns (1653).srt 19.40KB
3 - 3 - 1.3 Portfolio Returns (912).mp4 26.82MB
3 - 3 - 1.3 Portfolio Returns (912).srt 11.34KB
3 - 4 - 1.4 Dividends (400).mp4 12.10MB
3 - 4 - 1.4 Dividends (400).srt 5.17KB
3 - 5 - 1.5 Inflation (457).mp4 13.21MB
3 - 5 - 1.5 Inflation (457).srt 5.77KB
3 - 6 - 1.6 Annualizing Returns (532).mp4 14.42MB
3 - 6 - 1.6 Annualizing Returns (532).srt 6.00KB
3firmExample.xls.xls 107.50KB
4 - 1 - 1.7 Continuously Compounded Returns (1555).mp4 42.46MB
4 - 1 - 1.7 Continuously Compounded Returns (1555).srt 19.97KB
4 - 2 - 1.8 CC Portfolio Returns and Inflation (550).mp4 16.54MB
4 - 2 - 1.8 CC Portfolio Returns and Inflation (550).srt 6.53KB
5 - 1 - 1.9 Simple Returns (401).mp4 11.60MB
5 - 1 - 1.9 Simple Returns (401).srt 4.73KB
5 - 2 - 1.10 Getting Financial Data from Yahoo (1026).mp4 27.20MB
5 - 2 - 1.10 Getting Financial Data from Yahoo (1026).srt 13.33KB
5 - 3 - 1.11 Return Calculations (621).mp4 17.48MB
5 - 3 - 1.11 Return Calculations (621).srt 7.87KB
5 - 4 - 1.12 Growth of 1 (658).mp4 17.28MB
5 - 4 - 1.12 Growth of 1 (658).srt 7.45KB
6 - 10 - 2.9 Skewness and Kurtosis (1539).mp4 41.43MB
6 - 10 - 2.9 Skewness and Kurtosis (1539).srt 18.27KB
6 - 11 - 2.10 Students-t Distribution (552).mp4 14.38MB
6 - 11 - 2.10 Students-t Distribution (552).srt 7.54KB
6 - 1 - 2.0 Week 2 Introduction (106).mp4 2.58MB
6 - 1 - 2.0 Week 2 Introduction (106).srt 1.59KB
6 - 12 - 2.11 Linear Functions of Random Variables (1113).mp4 28.32MB
6 - 12 - 2.11 Linear Functions of Random Variables (1113).srt 11.94KB
6 - 2 - 2.1 Univariate Random Variables (2011).mp4 54.41MB
6 - 2 - 2.1 Univariate Random Variables (2011).srt 25.72KB
6 - 3 - 2.2 Cumulative Distribution Function (842).mp4 23.33MB
6 - 3 - 2.2 Cumulative Distribution Function (842).srt 9.75KB
6 - 4 - 2.3 Quantiles (750).mp4 20.15MB
6 - 4 - 2.3 Quantiles (750).srt 8.72KB
6 - 5 - 2.4 Standard Normal Distribution (1602).mp4 43.61MB
6 - 5 - 2.4 Standard Normal Distribution (1602).srt 20.29KB
6 - 6 - 2.5 Expected Value and Standard Deviation (1958).mp4 53.74MB
6 - 6 - 2.5 Expected Value and Standard Deviation (1958).srt 27.69KB
6 - 7 - 2.6 General Normal Distribution (623).mp4 15.92MB
6 - 7 - 2.6 General Normal Distribution (623).srt 8.03KB
6 - 8 - 2.7 Standard Deviation as a Measure of Risk (434).mp4 12.19MB
6 - 8 - 2.7 Standard Deviation as a Measure of Risk (434).srt 5.68KB
6 - 9 - 2.8 Normal Distribution Appropriate for simple returns (1422).mp4 36.55MB
6 - 9 - 2.8 Normal Distribution Appropriate for simple returns (1422).srt 19.03KB
7 - 1 - 2.12 Value at Risk (1948).mp4 53.74MB
7 - 1 - 2.12 Value at Risk (1948).srt 25.03KB
8 - 1 - 3.0 Week 3 Introduction (104).mp4 3.56MB
8 - 1 - 3.0 Week 3 Introduction (104).srt 1.68KB
8 - 2 - 3.1 Location-scale Model (1215).mp4 28.81MB
8 - 2 - 3.1 Location-scale Model (1215).srt 12.25KB
8 - 3 - 3.2 Bivariate Discrete Distributions (1418).mp4 45.60MB
8 - 3 - 3.2 Bivariate Discrete Distributions (1418).srt 18.53KB
8 - 4 - 3.3 Bivariate Continuous Distributions (1415).mp4 42.33MB
8 - 4 - 3.3 Bivariate Continuous Distributions (1415).srt 16.69KB
8 - 5 - 3.4 Covariance (1916).mp4 53.47MB
8 - 5 - 3.4 Covariance (1916).srt 22.56KB
8 - 6 - 3.5 Correlation and the Bivariate Normal Distribution (1159).mp4 37.91MB
8 - 6 - 3.5 Correlation and the Bivariate Normal Distribution (1159).srt 14.13KB
8 - 7 - 3.6 Linear Combination of 2 Random Variables (1109).mp4 28.74MB
8 - 7 - 3.6 Linear Combination of 2 Random Variables (1109).srt 11.42KB
8 - 8 - 3.7 Portfolio Example (1920).mp4 55.89MB
8 - 8 - 3.7 Portfolio Example (1920).srt 24.96KB
9 - 1 - 3.8 Matrix Algebra Review Part 1 (1702).mp4 44.99MB
9 - 1 - 3.8 Matrix Algebra Review Part 1 (1702).srt 21.84KB
9 - 2 - 3.9 Matrix Algebra Review Part 2 (2010).mp4 56.51MB
9 - 2 - 3.9 Matrix Algebra Review Part 2 (2010).srt 24.46KB
An Introduction to R.pdf 607.64KB
bootStrap.r 7.63KB
cerExample.csv.csv 2.20KB
cerModelExamples.r 18.50KB
descriptiveStatistics.r 15.34KB
Descriptive Statistics Examples for Daily Data.pdf 572.06KB
econ424lab1.r 5.31KB
hypothesisTestingCER.r 9.27KB
IntroPortfolioTheory.xls.xls 191.50KB
lab3.r 1.11KB
lab4.r 2.26KB
lab5.r 7.56KB
lab7.r 13.05KB
lab8.r 5.41KB
lab8returns.csv.csv 3.17KB
lab9.r 3.17KB
lab9returns.csv.csv 3.32KB
matrixReview.r 3.80KB
matrixReview.xlsx.xlsx 9.97KB
PerformanceAnalytics Charts and Tables Reference.pdf 298.95KB
portfolio_noshorts.r 14.94KB
portfolio.r 13.01KB
Portfolio Theory Examples.pdf 210.30KB
portfolioTheoryNoShortSales.r 2.95KB
Portfolio Theory with Matrices Examples.pdf 325.16KB
probReview.r 13.59KB
probReview.xls.xls 238.00KB
R Bootstrap Examples.pdf 98.49KB
R CER Model Examples.pdf 250.62KB
R Descriptive Statistics Examples.pdf 575.33KB
returnCalculations.r 5.94KB
Return Calculations Examples.xls 165.50KB
Return Calulations in R.pdf 59.19KB
R Examples for Portfolio Functions with no short sales.pdf 78.06KB
R for Beginners.pdf 529.69KB
R Hypothesis Testing Examples.pdf 130.26KB
RIntro.r 16.74KB
R Introduction.pdf 4.02MB
R Matrix Examples.pdf 36.99KB
rollingPortfolios.r 4.11KB
R Portfolio Functions.pdf 52.31KB
R Probability Examples.pdf 125.00KB
R Time Series Examples.pdf 90.26KB
singleIndex.r 9.44KB
Single Index Model Examples.pdf 415.21KB
singleIndexPrices.xls.xls 22.00KB
Statistical Analysis of Efficient Portfolios.pdf 115.99KB
testport.r 4.52KB
timeSeriesConcepts.r 5.45KB
Using mvtnorm.pdf 267.91KB
Week 1_ Return Calculations (Updated 9 11 2012).pdf 123.44KB
Week 10_ Estimating the Single Index Model.pdf 110.90KB
Week 10_ Portfolio Risk Budgeting.pdf 125.99KB
Week 10_ Single Index Model.pdf 76.44KB
Week 2_ Probability Review.pdf 154.02KB
Week 3_ Matrix Review.pdf 119.49KB
Week 3_ Probability Review Continued.pdf 99.20KB
Week 4_ Time Series Concepts.pdf 73.65KB
Week 5_ Descriptive Statistics.pdf 91.79KB
Week 6_ Constant Expected Return Model.pdf 138.78KB
Week 7_ Bootstrapping.pdf 64.44KB
Week 7_ Hypothesis Testing.pdf 112.98KB
Week 8_ Introduction to Portfolio Theory.pdf 118.66KB
Week 8_ Portfolio Theory with Matrices.pdf 140.57KB
Week 9_ Portfolio Theory with No Short Sales.pdf 69.62KB
Week 9_ Statistical Analysis of Efficient Portfolios.pdf 58.58KB
xts_ Extensible Time Series.pdf 200.88KB
zoo_ An S3 Class and Methods for Indexed Totally Ordered Observations..pdf 225.66KB
zoo Quick Reference.pdf 71.08KB
Distribution statistics by country
Poland (PL) 2
France (FR) 1
Spain (ES) 1
Italy (IT) 1
India (IN) 1
United States (US) 1
Russia (RU) 1
Total 8
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