Introduction to Computational Finance and Financial Econometrics Torrent Download LocationsAdded 1 Year+ | ||
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| Torrent Info | |
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| Name: | Introduction to Computational Finance and Financial Econometrics |
| Usenet: | Downloads Anonymously to Unlimited data Access! Get Usenet Free Trial |
| Hash: | 64B7843F784DA2D2496EBD0735C2970CD22A50DE |
| Category: | Other > Tutorials |
| Peers: | Seeds: 10 & Leechers: 18 |
| Size: | 3.91 GB |
| Stream: | Watch Full HD Movies @ LimeMovies |
| Date: | 18 January 2016 |
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Torrent Files Size: 3.91 GB |
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Introduction to Computational Finance and Financial Econometrics 0 - Resources 3firmExample.xls.xls - 107.5 KB _index.webarchive - 63.15 KB An Introduction to R.pdf - 607.64 KB bootStrap.r - 7.63 KB cerExample.csv.csv - 2.2 KB cerModelExamples.r - 18.5 KB Descriptive Statistics Examples for Daily Data.pdf - 572.06 KB descriptiveStatistics.r - 15.34 KB econ424lab1.r - 5.31 KB hypothesisTestingCER.r - 9.27 KB IntroPortfolioTheory.xls.xls - 191.5 KB lab3.r - 1.11 KB lab4.r - 2.26 KB lab5.r - 7.56 KB lab7.r - 13.05 KB lab8.r - 5.41 KB lab8returns.csv.csv - 3.17 KB lab9.r - 3.17 KB lab9returns.csv.csv - 3.32 KB matrixReview.r - 3.8 KB matrixReview.xlsx.xlsx - 9.97 KB PerformanceAnalytics Charts and Tables Reference.pdf - 298.95 KB Portfolio Theory Examples.pdf - 210.3 KB Portfolio Theory with Matrices Examples.pdf - 325.16 KB portfolio.r - 13.01 KB portfolio_noshorts.r - 14.94 KB portfolioTheoryNoShortSales.r - 2.95 KB probReview.r - 13.59 KB probReview.xls.xls - 238 KB R Bootstrap Examples.pdf - 98.49 KB R CER Model Examples.pdf - 250.62 KB R Descriptive Statistics Examples.pdf - 575.33 KB R Examples for Portfolio Functions with no short sales.pdf - 78.06 KB R for Beginners.pdf - 529.69 KB R Hypothesis Testing Examples.pdf - 130.26 KB R Introduction.pdf - 4.02 MB R Matrix Examples.pdf - 36.99 KB R Portfolio Functions.pdf - 52.31 KB R Probability Examples.pdf - 125 KB R Time Series Examples.pdf - 90.26 KB Return Calculations Examples.xls - 165.5 KB Return Calulations in R.pdf - 59.19 KB returnCalculations.r - 5.94 KB RIntro.r - 16.74 KB rollingPortfolios.r - 4.11 KB Single Index Model Examples.pdf - 415.21 KB singleIndex.r - 9.44 KB singleIndexPrices.xls.xls - 22 KB Statistical Analysis of Efficient Portfolios.pdf - 115.99 KB testport.r - 4.52 KB timeSeriesConcepts.r - 5.45 KB Using mvtnorm.pdf - 267.91 KB Week 10_ Estimating the Single Index Model.pdf - 110.9 KB Week 10_ Portfolio Risk Budgeting.pdf - 125.99 KB Week 10_ Single Index Model.pdf - 76.44 KB Week 1_ Return Calculations (Updated 9 11 2012).pdf - 123.44 KB Week 2_ Probability Review.pdf - 154.02 KB Week 3_ Matrix Review.pdf - 119.49 KB Week 3_ Probability Review Continued.pdf - 99.2 KB Week 4_ Time Series Concepts.pdf - 73.65 KB Week 5_ Descriptive Statistics.pdf - 91.79 KB Week 6_ Constant Expected Return Model.pdf - 138.78 KB Week 7_ Bootstrapping.pdf - 64.44 KB Week 7_ Hypothesis Testing.pdf - 112.98 KB Week 8_ Introduction to Portfolio Theory.pdf - 118.66 KB Week 8_ Portfolio Theory with Matrices.pdf - 140.57 KB Week 9_ Portfolio Theory with No Short Sales.pdf - 69.62 KB Week 9_ Statistical Analysis of Efficient Portfolios.pdf - 58.58 KB xts_ Extensible Time Series.pdf - 200.88 KB zoo Quick Reference.pdf - 71.08 KB zoo_ An S3 Class and Methods for Indexed Totally Ordered Observations..pdf - 225.66 KB 1 - 1 - Welcome to Introduction to Computational Finance and Financial Econometrics (1314).mp4 - 24.44 MB 10 - 1 - 4.0 Week 4 Introduction (211).mp4 - 7.48 MB 10 - 1 - 4.0 Week 4 Introduction (211).srt - 3.22 KB 10 - 2 - 4.1 Matrix Algebra Portfolio Math (2114).mp4 - 52.61 MB 10 - 2 - 4.1 Matrix Algebra Portfolio Math (2114).srt - 22.47 KB 10 - 3 - 4.2 Matrix Algebra Bivariate Normal (726).mp4 - 21.61 MB 10 - 3 - 4.2 Matrix Algebra Bivariate Normal (726).srt - 8.22 KB 11 - 1 - 4.3 Time Series Concepts (1648).mp4 - 45.52 MB 11 - 1 - 4.3 Time Series Concepts (1648).srt - 20.16 KB 11 - 2 - 4.4 Autocorrelation (914).mp4 - 24.18 MB 11 - 2 - 4.4 Autocorrelation (914).srt - 10.52 KB 11 - 3 - 4.5 White Noise Processes (1231).mp4 - 38.73 MB 11 - 3 - 4.5 White Noise Processes (1231).srt - 15.59 KB 11 - 4 - 4.6 Nonstationary Processes (1729).mp4 - 47.63 MB 11 - 4 - 4.6 Nonstationary Processes (1729).srt - 20.74 KB 11 - 5 - 4.7 Moving Average Processes (2545).mp4 - 65.44 MB 11 - 5 - 4.7 Moving Average Processes (2545).srt - 27.8 KB 11 - 6 - 4.8 Autoregressive Processes Part 1 (319).mp4 - 9.25 MB 11 - 6 - 4.8 Autoregressive Processes Part 1 (319).srt - 3.97 KB 11 - 7 - 4.9 Autoregressive Processes Part 2 (2819).mp4 - 77.56 MB 11 - 7 - 4.9 Autoregressive Processes Part 2 (2819).srt - 31.9 KB 12 - 1 - 5.0 Week 5 Introduction.mp4 - 11.79 MB 12 - 2 - 5.1 Covariance Stationarity (1128).mp4 - 37.82 MB 12 - 2 - 5.1 Covariance Stationarity (1128).srt - 15.89 KB 12 - 3 - 5.2 Histograms (1133).mp4 - 35.24 MB 12 - 3 - 5.2 Histograms (1133).srt - 15.1 KB 12 - 4 - 5.3 Sample Statistics (1524).mp4 - 46.76 MB 12 - 4 - 5.3 Sample Statistics (1524).srt - 21.13 KB 12 - 5 - 5.4 Empirical CDF and QQ plots (1200).mp4 - 38.07 MB 12 - 5 - 5.4 Empirical CDF and QQ plots (1200).srt - 14.86 KB 12 - 6 - 5.5 Outliers Part 1 (715).mp4 - 74.73 MB 12 - 6 - 5.5 Outliers Part 1 (715).srt - 9.65 KB 12 - 7 - 5.6 Outliers Part 2 (739).mp4 - 22.47 MB 12 - 7 - 5.6 Outliers Part 2 (739).srt - 10.41 KB 12 - 8 - 5.7 Graphical Measures (2317).mp4 - 70.26 MB 12 - 8 - 5.7 Graphical Measures (2317).srt - 30.73 KB 12 - 9 - 5.8 Descriptive Statistics for Daily Data (2417).mp4 - 76.14 MB 12 - 9 - 5.8 Descriptive Statistics for Daily Data (2417).srt - 32.19 KB 13 - 1 - 6.0 Week 6 Introduction.mp4 - 12.81 MB 13 - 10 - 6.9 Confidence Intervals (1247).mp4 - 40.19 MB 13 - 10 - 6.9 Confidence Intervals (1247).srt - 16.76 KB 13 - 11 - 6.10 Monte Carlo Simulation (1527).mp4 - 43.86 MB 13 - 11 - 6.10 Monte Carlo Simulation (1527).srt - 21.53 KB 13 - 12 - 6.11 Value at Risk in CER model (736).mp4 - 22.13 MB 13 - 12 - 6.11 Value at Risk in CER model (736).srt - 9.47 KB 13 - 2 - 6.1 Constant Expected Return Model (1407).mp4 - 39.95 MB 13 - 2 - 6.1 Constant Expected Return Model (1407).srt - 16.24 KB 13 - 3 - 6.2 Simulating Data (1214).mp4 - 32.95 MB 13 - 3 - 6.2 Simulating Data (1214).srt - 15.45 KB 13 - 4 - 6.3 Random Walk Model (538).mp4 - 16.54 MB 13 - 4 - 6.3 Random Walk Model (538).srt - 7.03 KB 13 - 5 - 6.4 Estimating Parameters of CER (1859).mp4 - 56.99 MB 13 - 5 - 6.4 Estimating Parameters of CER (1859).srt - 25.08 KB 13 - 6 - 6.5 Bias and Precision (1302).mp4 - 33.55 MB 13 - 6 - 6.5 Bias and Precision (1302).srt - 14.39 KB 13 - 7 - 6.6 Mean Squared Error (122).mp4 - 3.26 MB 13 - 7 - 6.6 Mean Squared Error (122).srt - 1.58 KB 13 - 8 - 6.7 Standard Errors (2212).mp4 - 69.2 MB 13 - 8 - 6.7 Standard Errors (2212).srt - 27.9 KB 13 - 9 - 6.8 Asymptotic Properties of Estimators (1411) .mp4 - 41.68 MB 13 - 9 - 6.8 Asymptotic Properties of Estimators (1411) .srt - 17.84 KB 14 - 1 - 7.0 Week 7 Introduction (243).mp4 - 8.31 MB 14 - 1 - 7.0 Week 7 Introduction (243).srt - 4.02 KB 14 - 2 - 7.1 Bootstrap (2606).mp4 - 81.19 MB 14 - 2 - 7.1 Bootstrap (2606).srt - 34.72 KB 14 - 3 - 7.2 Performing the Bootstrap in R (1810).mp4 - 54.95 MB 14 - 3 - 7.2 Performing the Bootstrap in R (1810).srt - 21.42 KB 14 - 4 - 7.3 Boostrapping VaR (844).mp4 - 27.43 MB 14 - 4 - 7.3 Boostrapping VaR (844).srt - 10.35 KB 15 - 1 - 7.4 Hypothesis Testing Introduction (829).mp4 - 25.92 MB 15 - 1 - 7.4 Hypothesis Testing Introduction (829).srt - 12.23 KB 15 - 2 - 7.5 Hypothesis Testing Overview (906).mp4 - 26.65 MB 15 - 2 - 7.5 Hypothesis Testing Overview (906).srt - 12.43 KB 15 - 3 - 7.6 Hypothesis Testing CER Model (1047).mp4 - 31.63 MB 15 - 3 - 7.6 Hypothesis Testing CER Model (1047).srt - 15.35 KB 15 - 4 - 7.7 Chi-square and Students t distributions (516).mp4 - 14.11 MB 15 - 4 - 7.7 Chi-square and Students t distributions (516).srt - 6.8 KB 15 - 5 - 7.8 Test of Specific Coefficient Value (2607).mp4 - 77.22 MB 15 - 5 - 7.8 Test of Specific Coefficient Value (2607).srt - 32.71 KB |
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