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[CourseClub.Me] Coursera - Investment Management with Python and Machine Learning Specialization

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种子名称: [CourseClub.Me] Coursera - Investment Management with Python and Machine Learning Specialization
文件类型: 视频
文件数目: 112个文件
文件大小: 1.87 GB
收录时间: 2023-4-14 15:10
已经下载: 3
资源热度: 225
最近下载: 2024-12-29 16:54

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[CourseClub.Me] Coursera - Investment Management with Python and Machine Learning Specialization.torrent
  • advanced-portfolio-construction-python/01_style-factors/01_section-1/01_welcome-video.mp415.31MB
  • advanced-portfolio-construction-python/01_style-factors/01_section-1/05_introduction-to-factor-investing.mp483.31MB
  • advanced-portfolio-construction-python/01_style-factors/01_section-1/06_factor-models-and-the-capm.mp459.75MB
  • advanced-portfolio-construction-python/01_style-factors/01_section-1/07_multi-factor-models-and-fama-french.mp453.74MB
  • advanced-portfolio-construction-python/01_style-factors/01_section-1/08_factor-benchmarks-and-style-analysis.mp445.73MB
  • advanced-portfolio-construction-python/01_style-factors/02_section-2/01_shortcomings-of-cap-weighted-indices.mp463.07MB
  • advanced-portfolio-construction-python/01_style-factors/02_section-2/02_from-cap-weighted-benchmarks-to-smart-weighted-benchmarks.mp469.78MB
  • advanced-portfolio-construction-python/01_style-factors/02_section-2/03_introduction-to-lab-sessions.mp49.82MB
  • advanced-portfolio-construction-python/01_style-factors/02_section-2/04_module-1-lab-session-foundations.mp484.64MB
  • advanced-portfolio-construction-python/02_robust-estimates-for-the-covariance-matrix/01_section-1/02_the-curse-of-dimensionality.mp456.89MB
  • advanced-portfolio-construction-python/02_robust-estimates-for-the-covariance-matrix/01_section-1/03_estimating-the-covariance-matrix-with-a-factor-model.mp40B
  • advanced-portfolio-construction-python/02_robust-estimates-for-the-covariance-matrix/01_section-1/04_honey-i-shrunk-the-covariance-matrix.mp40B
  • advanced-portfolio-construction-python/02_robust-estimates-for-the-covariance-matrix/02_section-2/01_portfolio-construction-with-time-varying-risk-parameters.mp40B
  • advanced-portfolio-construction-python/02_robust-estimates-for-the-covariance-matrix/02_section-2/02_exponentially-weighted-average.mp441.15MB
  • advanced-portfolio-construction-python/02_robust-estimates-for-the-covariance-matrix/02_section-2/03_arch-and-garch-models.mp447.22MB
  • advanced-portfolio-construction-python/02_robust-estimates-for-the-covariance-matrix/02_section-2/04_module-2-lab-session-covariance-estimation.mp40B
  • advanced-portfolio-construction-python/03_robust-estimates-for-expected-returns/01_section-1/02_lack-of-robustness-of-expected-return-estimates.mp40B
  • advanced-portfolio-construction-python/03_robust-estimates-for-expected-returns/01_section-1/03_agnostic-priors-on-expected-return-estimates.mp40B
  • advanced-portfolio-construction-python/03_robust-estimates-for-expected-returns/01_section-1/04_using-factor-models-to-estimate-expected-returns.mp40B
  • advanced-portfolio-construction-python/03_robust-estimates-for-expected-returns/02_section-2/01_extracting-implied-expected-returns.mp447.95MB
  • advanced-portfolio-construction-python/03_robust-estimates-for-expected-returns/02_section-2/02_introducing-active-views.mp430.87MB
  • advanced-portfolio-construction-python/03_robust-estimates-for-expected-returns/02_section-2/03_black-litterman-analysis.mp450.88MB
  • advanced-portfolio-construction-python/03_robust-estimates-for-expected-returns/02_section-2/05_module-3-lab-session-black-litterman.mp458.45MB
  • advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/01_section-1/03_naive-diversification.mp456.59MB
  • advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/01_section-1/04_scientific-diversification.mp451.52MB
  • advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/01_section-1/05_measuring-risk-contributions.mp430.05MB
  • advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/02_section-2/01_simplified-risk-parity-portfolios.mp432.91MB
  • advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/02_section-2/02_risk-parity-portfolios.mp425.64MB
  • advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/02_section-2/03_comparing-diversification-options.mp422.87MB
  • advanced-portfolio-construction-python/04_portfolio-optimization-in-practice/02_section-2/04_module-4-lab-session-risk-contribution-and-risk-parity.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/01_welcome-video.mp416.6MB
  • introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/05_installing-anaconda.mp47.72MB
  • introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/06_fundamentals-of-returns.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/07_lab-session-basics-of-returns.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/08_measures-of-risk-and-reward.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/09_lab-session-risk-adjusted-returns.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/10_measuring-max-drawdown.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/11_lab-session-drawdown.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/02_section-2-beyond-the-gaussian-case-extreme-risk-estimates/01_deviations-from-normality.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/02_section-2-beyond-the-gaussian-case-extreme-risk-estimates/03_lab-session-building-your-own-modules.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/02_section-2-beyond-the-gaussian-case-extreme-risk-estimates/04_downside-risk-measures.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/02_section-2-beyond-the-gaussian-case-extreme-risk-estimates/05_lab-session-deviations-from-normality.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/02_section-2-beyond-the-gaussian-case-extreme-risk-estimates/06_estimating-var.mp40B
  • introduction-portfolio-construction-python/01_analysing-returns/02_section-2-beyond-the-gaussian-case-extreme-risk-estimates/07_lab-session-semi-deviation-var-and-cvar.mp40B
  • introduction-portfolio-construction-python/02_an-introduction-to-portfolio-optimization/02_section-2-implementing-markowitz/01_fund-separation-theorem-and-the-capital-market-line.mp40B
  • introduction-portfolio-construction-python/02_an-introduction-to-portfolio-optimization/02_section-2-implementing-markowitz/02_lab-session-locating-the-max-sharpe-ratio-portfolio.mp40B
  • introduction-portfolio-construction-python/02_an-introduction-to-portfolio-optimization/02_section-2-implementing-markowitz/03_lack-of-robustness-of-markowitz-analysis.mp40B
  • introduction-portfolio-construction-python/02_an-introduction-to-portfolio-optimization/02_section-2-implementing-markowitz/04_lab-session-plotting-ew-and-gmv-on-the-efficient-frontier.mp40B
  • introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/02_limits-of-diversification.mp443.8MB
  • introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/03_lab-session-limits-of-diversification-part1.mp431.29MB
  • introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/04_lab-session-limits-of-diversification-part-2.mp439.21MB
  • introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/05_an-introduction-to-cppi-part-1.mp433.29MB
  • introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/06_an-introduction-to-cppi-part-2.mp449.78MB
  • introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/07_lab-session-cppi-and-drawdown-constraints-part1.mp443.66MB
  • introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/08_lab-session-cppi-and-drawdown-constraints-part2.mp452.05MB
  • introduction-portfolio-construction-python/03_beyond-diversification/01_section-1/09_simulating-asset-returns-with-random-walks.mp449.15MB
  • introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/01_monte-carlo-simulation.mp430.85MB
  • introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/02_lab-session-random-walks-and-monte-carlo.mp436.33MB
  • introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/03_analyzing-cppi-strategies.mp428.99MB
  • introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/04_lab-session-installing-ipywidgets.mp411.4MB
  • introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/06_designing-and-calibrating-cppi-strategies.mp424.94MB
  • introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/07_lab-session-interactive-plots-of-monte-carlo-simulations-of-cppi-and-gbm-part1.mp40B
  • introduction-portfolio-construction-python/03_beyond-diversification/02_section-2/09_lab-session-interactive-plots-of-monte-carlo-simulations-of-cppi-and-gbm-part2.mp40B
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/01_section-1/03_from-asset-management-to-asset-liability-management.mp40B
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/01_section-1/04_lab-session-present-values-liabilities-and-funding-ratio.mp40B
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/01_section-1/05_liability-hedging-portfolios.mp40B
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/01_section-1/06_lab-session-cir-model-and-cash-vs-zc-bonds.mp40B
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/01_section-1/07_liability-driven-investing-ldi.mp40B
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/01_section-1/08_lab-session-liability-driven-investing.mp40B
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/01_choosing-the-policy-portfolio.mp40B
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/02_lab-session-monte-carlo-simulation-of-coupon-bearing-bonds-using-cir.mp40B
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/03_beyond-ldi.mp455.56MB
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/04_lab-session-naive-risk-budgeting-between-the-psp-ghp.mp40B
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/05_liability-friendly-equity-portfolios.mp40B
  • introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/06_lab-session-dynamic-risk-budgeting-between-psp-lhp.mp40B
  • machine-learning-asset-management-alternative-data/01_consumption/01_theory/02_welcome-video.mp427.27MB
  • machine-learning-asset-management-alternative-data/01_consumption/01_theory/03_what-is-consumption-data.mp436.39MB
  • machine-learning-asset-management-alternative-data/01_consumption/01_theory/04_geolocation-and-foot-traffic.mp420.95MB
  • machine-learning-asset-management-alternative-data/01_consumption/02_lab-sessions/01_lab-session-introduction-to-the-uber-dataset.mp414.39MB
  • machine-learning-asset-management-alternative-data/01_consumption/02_lab-sessions/02_lab-session-points-of-interest.mp411.06MB
  • machine-learning-asset-management-alternative-data/01_consumption/02_lab-sessions/04_lab-session-mapping-data-with-folium.mp429.05MB
  • machine-learning-asset-management-alternative-data/01_consumption/02_lab-sessions/05_lab-session-testing-seasonality.mp422.98MB
  • machine-learning-asset-management-alternative-data/01_consumption/03_research-application/01_application-consumption-data-and-earning-surprises.mp40B
  • machine-learning-asset-management-alternative-data/01_consumption/03_research-application/02_application-consumption-based-proxies-for-private-information-and-managers.mp40B
  • machine-learning-asset-management-alternative-data/01_consumption/03_research-application/04_application-additional-applications-of-consumption-data.mp40B
  • machine-learning-asset-management-alternative-data/02_textual-analysis-for-financial-applications/01_theory/01_introduction-to-the-open-web.mp40B
  • machine-learning-asset-management-alternative-data/02_textual-analysis-for-financial-applications/01_theory/02_introduction-to-textual-analysis.mp40B
  • machine-learning-asset-management-alternative-data/02_textual-analysis-for-financial-applications/01_theory/03_processing-text-into-vectors.mp40B
  • machine-learning-asset-management-alternative-data/02_textual-analysis-for-financial-applications/01_theory/04_normalizing-textual-data.mp40B
  • machine-learning-asset-management-alternative-data/02_textual-analysis-for-financial-applications/02_lab-sessions/01_lab-session-introduction-to-webscraping.mp40B
  • machine-learning-asset-management-alternative-data/02_textual-analysis-for-financial-applications/02_lab-sessions/02_lab-session-applied-text-data-processing.mp40B
  • machine-learning-asset-management-alternative-data/02_textual-analysis-for-financial-applications/02_lab-sessions/03_lab-session-company-distances-and-industry-distances.mp40B
  • machine-learning-asset-management-alternative-data/02_textual-analysis-for-financial-applications/03_research-application/01_application-applying-similarity-analysis-on-corporate-filings-to-predict-returns.mp40B
  • machine-learning-asset-management-alternative-data/03_processing-corporate-filings/01_theory/01_introduction-to-corporate-filings.mp432.64MB
  • machine-learning-asset-management-alternative-data/03_processing-corporate-filings/02_lab-sessions/03_lab-session-working-with-10-k-data.mp40B
  • machine-learning-asset-management-alternative-data/03_processing-corporate-filings/02_lab-sessions/04_lab-session-applications-of-tf-idf.mp40B
  • machine-learning-asset-management-alternative-data/03_processing-corporate-filings/02_lab-sessions/05_lab-session-risk-analysis.mp420.81MB
  • machine-learning-asset-management-alternative-data/03_processing-corporate-filings/02_lab-sessions/07_lab-session-working-with-13-f-data.mp40B
  • machine-learning-asset-management-alternative-data/03_processing-corporate-filings/02_lab-sessions/08_lab-session-comparing-holding-similarities.mp40B
  • machine-learning-asset-management-alternative-data/03_processing-corporate-filings/03_research-application/01_application-network-centrality-competition-links-and-stock-returns.mp40B
  • machine-learning-asset-management-alternative-data/03_processing-corporate-filings/03_research-application/03_application-using-location-data-to-measure-home-bias-to-predict-returns.mp40B
  • machine-learning-asset-management-alternative-data/04_using-media-derived-data/01_theory/01_introduction-to-media-information.mp436.64MB
  • machine-learning-asset-management-alternative-data/04_using-media-derived-data/01_theory/03_sentiment-analysis.mp430.88MB
  • machine-learning-asset-management-alternative-data/04_using-media-derived-data/02_lab-sessions/01_lab-session-twitter-dataset-introduction.mp40B
  • machine-learning-asset-management-alternative-data/04_using-media-derived-data/02_lab-sessions/02_lab-session-network-visualization.mp410.27MB
  • machine-learning-asset-management-alternative-data/04_using-media-derived-data/02_lab-sessions/03_lab-session-replicating-pagerank.mp425.38MB
  • machine-learning-asset-management-alternative-data/04_using-media-derived-data/02_lab-sessions/04_lab-session-applied-sentiment-analysis.mp40B
  • machine-learning-asset-management-alternative-data/04_using-media-derived-data/03_research-application/01_application-using-media-to-predict-financial-market-variables.mp40B
  • python-machine-learning-for-investment-management/01_introducing-the-fundamentals-of-machine-learning/01_section-1-introduction/01_welcome-to-the-python-machine-learning-for-investment-management-course.mp40B
  • python-machine-learning-for-investment-management/01_introducing-the-fundamentals-of-machine-learning/01_section-1-introduction/04_introduction-to-machine-learning.mp40B
  • python-machine-learning-for-investment-management/01_introducing-the-fundamentals-of-machine-learning/01_section-1-introduction/06_financial-applications.mp40B
  • python-machine-learning-for-investment-management/01_introducing-the-fundamentals-of-machine-learning/01_section-1-introduction/07_supervised-learning.mp40B