Udemy - Master Financial Econometrics for Time Series Analysis

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[ WebToolTip.com ] Udemy - Master Financial Econometrics for Time Series Analysis
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Introduction
    • 1 -Welcome and Why Financial Econometrics.mp4 (61.5 MB)
    • 2 -What You Can Expect.mp4 (65.7 MB)
    • 3 -Q&A and Discord.mp4 (32.3 MB)
    • 4 - RESOURCES.html (0.8 KB)
    • RESOURCES Appendix
      • appendix_excel_playground.xlsx (21.4 KB)
      • DS_Store (8.0 KB)
      • Section2
        • 2_3_eulers_constant.xlsx (134.0 KB)
        • 2_4_modelling_ln_returns.xlsx (328.0 KB)
        Section3
        • 3_probability_and_mom.xlsx (1.1 MB)
        • 3_probability_and_mom_STARTING.xlsx (567.8 KB)
        Section4
        • joint_probs_and_copulas.xlsx (1.1 MB)
        • joint_probs_and_copulas_STARTING.xlsx (957.2 KB)
        Section5
        • 5_estimation_methods.xlsx (459.2 KB)
        • 5_estimation_methods_STARTING.xlsx (290.0 KB)
        Section6
        • 6_autocorrelation.xlsx (167.0 KB)
        • 6_autocorrelation_STARTING.xlsx (61.7 KB)
        • DS_Store (6.0 KB)
        Section7
        • 7_stationarity_coint.xlsx (625.4 KB)
        • 7_stationarity_coint_STARTER.xlsx (350.2 KB)
        Section8
        • 8_garch.xlsx (603.3 KB)
        • 8_garch_starting.xlsx (154.1 KB)
      • data.xlsx (247.2 KB)
      • ~$3_probability_and_mom.xlsx (0.2 KB)
      • __MACOSX RESOURCES Appendix
        • _appendix_excel_playground.xlsx (0.2 KB)
        Section2
        • _2_3_eulers_constant.xlsx (0.2 KB)
        • _2_4_modelling_ln_returns.xlsx (0.2 KB)
        Section3
        • _3_probability_and_mom.xlsx (0.2 KB)
        • _3_probability_and_mom_STARTING.xlsx (0.2 KB)
        Section4
        • _joint_probs_and_copulas.xlsx (0.3 KB)
        • _joint_probs_and_copulas_STARTING.xlsx (0.2 KB)
        Section5
        • _5_estimation_methods.xlsx (0.3 KB)
        • _5_estimation_methods_STARTING.xlsx (0.3 KB)
        Section6
        • _.DS_Store (0.1 KB)
        • _6_autocorrelation.xlsx (0.3 KB)
        • _6_autocorrelation_STARTING.xlsx (0.2 KB)
        Section7
        • _7_stationarity_coint.xlsx (0.2 KB)
        • _7_stationarity_coint_STARTER.xlsx (0.3 KB)
        Section8
        • _8_garch.xlsx (0.3 KB)
        • _8_garch_starting.xlsx (0.2 KB)
        • _.DS_Store (0.1 KB)
        • _data.xlsx (0.2 KB)
        • _~$3_probability_and_mom.xlsx (0.2 KB)
        • 10 - APPENDIX
          • 1 -Excel Quick Tips.mp4 (36.5 MB)
          2 - Modelling Financial Prices and Returns
          • 1 -Simple Prices.mp4 (13.0 MB)
          • 2 -Simple Returns.mp4 (3.3 MB)
          • 3 -Logarithm vs Natural Logarithm.mp4 (67.3 MB)
          • 4 -Modelling With Ln Prices and Ln Returns - Additive Property.mp4 (68.1 MB)
          • 5 -Modelling With Ln Returns - Histogram.mp4 (65.7 MB)
          3 - Introduction to Probability and Central Moments
          • 1 -Finding Financial Data.mp4 (22.7 MB)
          • 10 -Fitting Normal Distribution to SPY Ln Returns.mp4 (64.7 MB)
          • 11 -Skewness and Kurtotsis - Theory.mp4 (19.5 MB)
          • 12 -Skewness and Kurtosis - Practice.mp4 (30.1 MB)
          • 13 -Empirical vs Student-T and Std Normal PDF - Intro.mp4 (21.5 MB)
          • 14 -Empirical vs Student-T and Std Normal PDF - Build.mp4 (144.0 MB)
          • 15 -ECDF vs Normal CDF.mp4 (90.2 MB)
          • 16 -Building a Q-Q Plot.mp4 (69.5 MB)
          • 17 -Q-Q Plot Review and Recap.mp4 (20.2 MB)
          • 18 -PDF and CDF Math Notation.mp4 (18.4 MB)
          • 19 -Mixture Densities - Intro.mp4 (24.7 MB)
          • 2 -Section Resources Note.mp4 (13.2 MB)
          • 20 -Mixture Densities - Build.mp4 (37.3 MB)
          • 3 -Discrete Probability Densities.mp4 (64.4 MB)
          • 4 -Random Variables and their CDF.mp4 (52.9 MB)
          • 5 -Stats 101 - Population vs Sample Math Notation.mp4 (24.1 MB)
          • 6 -First Central Moment - Mean.mp4 (12.3 MB)
          • 7 -Second Central Moment - Variance.mp4 (9.0 MB)
          • 8 -Standard Normal Distribution - Theory.mp4 (60.4 MB)
          • 9 -Building a Normal Distribution from Scratch.mp4 (129.3 MB)
          4 - Modelling Joint Probability with Copula Dependency
          • 1 -Covariance vs Pearson's Correlation Coefficient.mp4 (29.9 MB)
          • 2 -Calculating Covar(X,Y) and Correlation.mp4 (31.0 MB)
          • 3 -Bivariate Normal Joint Density.mp4 (40.1 MB)
          • 4 -Copulas - Introduction.mp4 (75.9 MB)
          • 5 -Copulas - Plan of Attack.mp4 (44.2 MB)
          • 5 -Hoxha_422839.pdf (972.2 KB)
          • 6 -Copulas - Gaussian Density Calculation.mp4 (128.9 MB)
          • 7 -Copulas - Gaussian Conditional Probability.mp4 (39.7 MB)
          5 - Linear Regression Estimation Methods
          • 1 -Linear Regression Introduction.mp4 (52.9 MB)
          • 10 -MLE - Introduction.mp4 (7.7 MB)
          • 11 -MLE - Illustration.mp4 (54.1 MB)
          • 12 -MLE - Ln Likelihood Function.mp4 (31.3 MB)
          • 13 -MLE - Running Our First Estimation.mp4 (53.5 MB)
          • 14 -ARMA - Introduction.mp4 (12.7 MB)
          • 15 -ARMA - AR1 OLS vs MLE Comparison.mp4 (49.1 MB)
          • 16 -ARMA - Full Estimation.mp4 (58.5 MB)
          • 2 -Simple OLS - Estimating Intercept and Slope.mp4 (50.9 MB)
          • 3 -Simple OLS - Intercept and Slope Practical.mp4 (41.6 MB)
          • 4 -Simple OLS - ANOVA Metrics Explained.mp4 (28.5 MB)
          • 5 -Simple OLS - ANOVA Calculated.mp4 (65.4 MB)
          • 6 -Simple OLS - Hypothesis Testing.mp4 (40.9 MB)
          • 7 -Simple OLS - LINEST Model Completion.mp4 (104.3 MB)
          • 8 -Multiple OLS - Introduction to Linear Algebra.mp4 (50.6 MB)
          • 9 -Multiple OLS - Pr

Description

Master Financial Econometrics for Time Series Analysis

https://WebToolTip.com

Published 2/2025
Created by Shaun McDonogh
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 75 Lectures ( 7h 40m ) | Size: 3.65 GB

Understand how to model and analyse financial time series from scratch for beginners. Theory, math, excel, application.

What you'll learn
Foundations of Financial Econometrics & Data Analysis with Excel
Modelling Financial Dependency: Correlation, Bivariate Distributions and Copulas
Advanced Time Series Concepts: Stationarity, Cointegration, and Volatility Modelling
Building and Implementing Time Series Models in Excel: ARMA, ARIMA, and GARCH

Requirements
Basic Experience with Microsoft Excel
A Keen Interest in Quant Finance Related Topics
Understanding of What Financial Assets Are (i.e. what AAPL, MSFT, BTC relate to)



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Udemy - Master Financial Econometrics for Time Series Analysis


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3.7 GB
seeders:1
leechers:14
Udemy - Master Financial Econometrics for Time Series Analysis


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