EViews Mastery- Data Analysis and Econometric Modeling

EViews Mastery: Data Analysis and Econometric Modeling, available at $54.99, has an average rating of 3.5, with 171 lectures, based on 2 reviews, and has 414 subscribers.

You will learn about Mastering the EViews graphical user interface (GUI) for efficient navigation and data handling. Performing descriptive statistical analysis to summarize data distributions and trends. Generating log returns and understanding their implications in financial and economic contexts. Creating and interpreting correlation matrices to explore relationships between variables. Constructing scatter plots to visualize data points and identify patterns or outliers. Applying volatility analysis techniques to assess risk and uncertainty in time series data. Utilizing advanced features for econometric modeling and hypothesis testing. Implementing forecasting models to predict future trends based on historical data. Integrating real-world data sets into EViews for practical application and analysis. Developing analytical skills to make informed decisions and recommendations in economic and financial research. This course is ideal for individuals who are Students and Researchers: Those studying economics, finance, or related fields who need to analyze data using EViews for academic projects or research. or Professionals: Working in finance, economics, or data analysis roles who require skills in econometric modeling and forecasting using EViews. or Analysts and Consultants: Interested in enhancing their data analysis capabilities for economic and financial data using advanced statistical techniques. or Educators: Teaching economics or finance courses who want to incorporate practical data analysis and econometric methods into their curriculum. or Anyone Interested: Individuals keen on learning EViews for personal or professional development in data analysis and econometrics. It is particularly useful for Students and Researchers: Those studying economics, finance, or related fields who need to analyze data using EViews for academic projects or research. or Professionals: Working in finance, economics, or data analysis roles who require skills in econometric modeling and forecasting using EViews. or Analysts and Consultants: Interested in enhancing their data analysis capabilities for economic and financial data using advanced statistical techniques. or Educators: Teaching economics or finance courses who want to incorporate practical data analysis and econometric methods into their curriculum. or Anyone Interested: Individuals keen on learning EViews for personal or professional development in data analysis and econometrics.

Enroll now: EViews Mastery: Data Analysis and Econometric Modeling

Summary

Title: EViews Mastery: Data Analysis and Econometric Modeling

Price: $54.99

Average Rating: 3.5

Number of Lectures: 171

Number of Published Lectures: 171

Number of Curriculum Items: 171

Number of Published Curriculum Objects: 171

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

Mastering the EViews graphical user interface (GUI) for efficient navigation and data handling.

Performing descriptive statistical analysis to summarize data distributions and trends.

Generating log returns and understanding their implications in financial and economic contexts.

Creating and interpreting correlation matrices to explore relationships between variables.

Constructing scatter plots to visualize data points and identify patterns or outliers.

Applying volatility analysis techniques to assess risk and uncertainty in time series data.

Utilizing advanced features for econometric modeling and hypothesis testing.

Implementing forecasting models to predict future trends based on historical data.

Integrating real-world data sets into EViews for practical application and analysis.

Developing analytical skills to make informed decisions and recommendations in economic and financial research.

Who Should Attend

Students and Researchers: Those studying economics, finance, or related fields who need to analyze data using EViews for academic projects or research.

Professionals: Working in finance, economics, or data analysis roles who require skills in econometric modeling and forecasting using EViews.

Analysts and Consultants: Interested in enhancing their data analysis capabilities for economic and financial data using advanced statistical techniques.

Educators: Teaching economics or finance courses who want to incorporate practical data analysis and econometric methods into their curriculum.

Anyone Interested: Individuals keen on learning EViews for personal or professional development in data analysis and econometrics.

Target Audiences

Students and Researchers: Those studying economics, finance, or related fields who need to analyze data using EViews for academic projects or research.

Professionals: Working in finance, economics, or data analysis roles who require skills in econometric modeling and forecasting using EViews.

Analysts and Consultants: Interested in enhancing their data analysis capabilities for economic and financial data using advanced statistical techniques.

Educators: Teaching economics or finance courses who want to incorporate practical data analysis and econometric methods into their curriculum.

Anyone Interested: Individuals keen on learning EViews for personal or professional development in data analysis and econometrics.

Introduction:

Welcome to the “EViews Essentials” course, your gateway to mastering econometric analysis and statistical modeling using EViews. Whether you’re a student, researcher, or professional in finance, economics, or related fields, this course is designed to equip you with practical skills and theoretical knowledge essential for data-driven decision-making.

EViews, renowned for its robust capabilities in time series analysis and econometric modeling, provides a powerful platform to explore, analyze, and forecast data. Throughout this course, you will delve into various modules, each designed to deepen your understanding and proficiency in using EViews for statistical analysis, regression modeling, time series analytics, and more.

From navigating the EViews GUI to advanced topics like VAR modeling, ARCH modeling, and co-integration testing, you will gain hands-on experience through practical examples and projects. By the end of this course, you will not only be proficient in leveraging EViews for data analysis but also capable of applying these skills to real-world scenarios effectively.

Let’s embark on this journey to unlock the full potential of EViews and enhance your analytical toolkit for making informed decisions in complex economic and financial landscapes.

Section 1: EViews GUI Introduction to EViews through its graphical user interface (GUI), focusing on navigation essentials and basic tools. Students learn to efficiently navigate datasets, access statistical tools, and perform basic operations within EViews.

Section 2: Descriptive Statistics in EViews This section dives into descriptive statistics using EViews. Students start by generating log returns, a fundamental metric in financial analysis. They then explore interpreting graphs and analyzing volatility patterns, essential for understanding data distributions and trends.

Section 3: Correlation Techniques in EViews Advanced correlation techniques are covered here. Students learn to generate correlation matrices to identify relationships between variables. Practical skills include creating scatter plots and interpreting correlation data to make informed analytical decisions.

Section 4: Project on EViews – Regression Modeling Regression modeling is a cornerstone of statistical analysis. This section covers basic regression modeling theory and practical application in EViews. Students learn to generate estimation outputs, interpret regression results, and analyze scatter plots for regression diagnostics.

Section 5: Univariate Time Series Analytics & Modeling with EViews Univariate time series analysis focuses on understanding and modeling data that changes over time. Students implement correlograms to analyze data patterns and interpret ARMA (AutoRegressive Moving Average) models for forecasting and decision-making.

Section 6: Project on EViews – Multivariate Modeling Multivariate modeling expands on univariate concepts to analyze relationships between multiple variables simultaneously. Students work with estimation outputs, interpret scatter plots, and apply modeling techniques to complex datasets, such as financial and economic data.

Section 7: Auto-correlation Techniques in EViews Auto-correlation analysis is crucial for understanding relationships within time series data. Students learn to use EViews for Durbin Watson analysis, residual diagnostics, and interpreting Ordinary Least Squares (OLS) equations to detect and address autocorrelation.

Section 8: Project on EViews – VAR Modeling Vector Autoregressive (VAR) modeling is a powerful tool for analyzing the dynamic relationships between multiple time series variables. Students study VAR modeling theory, generate VAR estimates, perform impulse response tests, and interpret variance decompositions to understand the impact of shocks and relationships between variables.

Section 9: Stationarity and Unit Root Testing in EViews Stationarity and unit root testing are essential for time series modeling. Students learn to apply Dickey Fuller tests in EViews to determine the stationarity of data series and interpret unit root tests to understand the long-term behavior and trends in time series data.

Section 10: Co-integration Testing in EViews Co-integration testing assesses the long-term equilibrium relationship between variables. Students implement Johansen integration tests in EViews to analyze co-integration relationships, perform trace tests and eigenvalue tests, and interpret the results to understand the economic relationships between variables.

Section 11: Project on EViews – Volatility and ARCH Modeling Volatility and ARCH (AutoRegressive Conditional Heteroskedasticity) modeling focus on analyzing and forecasting volatility in financial markets. Students explore ARCH modeling theory, estimate GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models, interpret volatility spikes, and analyze the impact of volatility on asset prices and risks.

Each section of this course provides hands-on experience with EViews, equipping students with essential skills in data analysis, statistical modeling, and econometric applications suitable for various industries, including finance, economics, and research.

Conclusion:

Starting with the fundamentals of EViews GUI navigation and descriptive statistics, you progress through advanced topics such as regression modeling, VAR modeling, ARCH modeling, and co-integration testing. Each section equips you with practical skills to analyze data, interpret results, and derive meaningful insights for decision-making in finance, economics, and beyond.

As you move forward, continue to explore and apply your newfound knowledge in real-world scenarios. Whether you’re analyzing economic trends, forecasting financial markets, or conducting research, the skills acquired in this course will serve as a solid foundation.

Remember, EViews is a powerful tool that enables you to uncover hidden patterns, test hypotheses, and make data-driven predictions. Stay curious, keep practicing, and leverage these skills to excel in your academic pursuits or professional career.

Thank you for joining us on this learning journey. We wish you success in all your future endeavors in econometrics and data analysis with EViews.

Course Curriculum

Chapter 1: EViews GUI

Lecture 1: Introduction to Eview Training

Lecture 2: Eviews GUI

Lecture 3: Eviews GUI Continues

Chapter 2: Descriptive Statistics in Eviews

Lecture 1: Generating Log Returns

Lecture 2: Example of Descriptive

Lecture 3: Interpretation and Graphs

Lecture 4: Interpretation and Graphs Continues

Lecture 5: Generating Log Returns and Descriptive

Lecture 6: Generating Log Returns and Descriptive Continue

Lecture 7: Example of Interpretations

Lecture 8: Volatility Graphs

Lecture 9: Generating returns Interpretation and Graphs

Lecture 10: Generating returns Interpretation Continues

Chapter 3: Correlation Techniques in Eviews

Lecture 1: Basic Correlation Theory

Lecture 2: Generating Correlation Matrix in Eviews

Lecture 3: Generating Correlation Matrix in Eviews Continues

Lecture 4: Mutual Funds Correlation Matrix Percentage

Lecture 5: Scatter Plots Using Eviews

Lecture 6: Generating Correlation Matrix

Lecture 7: Scatter Plots and Volatility Graphs

Lecture 8: Generating Correlation Matrix and Interpretations

Lecture 9: Generating Correlation Interpretations

Lecture 10: Generating Correlation Interpretations Continues

Lecture 11: Scatter Plots

Lecture 12: Working on Scatter Plots

Chapter 4: Project on EViews – Regression Modeling

Lecture 1: Basic Regression Modelling Theory

Lecture 2: Generating Returns and Estimation Output

Lecture 3: More on Generating Returns

Lecture 4: Understanding Estimation Output

Lecture 5: Understanding Estimation Output Continues

Lecture 6: Example of Interpretations

Lecture 7: Generating Estimation Output

Lecture 8: Interpretations and Volatility Scatter Plots

Lecture 9: More on Volatility Scatter Plots

Lecture 10: Estimation Output Interpretations and Graphs

Lecture 11: Estimation Output Interpretations and Graphs Continues

Lecture 12: Example 3 – NAV Price Study

Lecture 13: Working on Volatility Graphs

Lecture 14: Correlation Matrix

Lecture 15: Correlation Matrix Continues

Lecture 16: Example 4 – Estimation Output

Lecture 17: Basic Regression Modelling

Lecture 18: Basic Regression Modelling Continues

Lecture 19: Interpretations and Scatterplot Analysis

Lecture 20: More on Scatterplot Analysis

Lecture 21: Equation Estimation

Chapter 5: Univariate Time Series Analytics & Modeling with Eviews

Lecture 1: Univariate Time Series Modelling

Lecture 2: Example of Univariate Time Series Modelling

Lecture 3: Understanding and Implementing Correlogram

Lecture 4: Correlogram Analysis

Lecture 5: Correlogram Analysis Continues

Lecture 6: Estimation Output Analysis and Interpretation

Lecture 7: Interpretation of the ARMA Model

Lecture 8: Interpretation of the ARMA Model Continues

Lecture 9: Correlogram Estimation of Output Model

Lecture 10: Correlogram Estimation of ARMA Model

Lecture 11: More on ARMA Model

Lecture 12: Correlogram and Estimation Output for ARMA Model

Chapter 6: Project on EViews – Multivariate Modeling

Lecture 1: Need of Multivariate Modelling

Lecture 2: Basic Theory Multivariate Modelling

Lecture 3: Generating Estimation Outputs

Lecture 4: Generating Estimation Outputs Continues

Lecture 5: Interpretations of Estimation Output

Lecture 6: Interpretations Cost Of Debt

Lecture 7: Scatter Plots Example

Lecture 8: Indices and Commodities

Lecture 9: Estimations Outputs

Lecture 10: Interpretations and Scatter Plots

Lecture 11: Generating Estimation Outputs Example 3

Lecture 12: More on GE Outputs Example 3

Lecture 13: Interpretations of Example 3

Lecture 14: Interpretations of Example 3 Continues

Chapter 7: Auto-correlation Techniques in Eviews

Lecture 1: Durbin Watson

Lecture 2: Durbin Watson Continues

Lecture 3: Residual Diagnostics

Lecture 4: DW Analysis

Lecture 5: Estimation output and DW interpretations

Lecture 6: OLS Equation and Estimation Output

Lecture 7: OLS Equation and Estimation Output Continue

Lecture 8: Example of Gold and BSE Index

Lecture 9: Example of Gold and BSE Index Continue

Lecture 10: DW Calculated

Lecture 11: Example of Forex and Index

Lecture 12: Example of Forex and Index Continue

Lecture 13: Multi Asset Analysis

Lecture 14: Correlation Matrix

Lecture 15: Estimation Output Interpretation

Lecture 16: Breusch Godfrey Test

Lecture 17: Importing Data

Lecture 18: Steps Of Breusch

Lecture 19: Steps Of Breusch Continue

Lecture 20: Correlogram and LM test

Lecture 21: Correlogram and LM test Continue

Instructors

EDUCBA Bridging the Gap
Learn real world skills online

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