The Efficient Market Hypothesis (EMH) is a financial theory that holds that asset prices reflect all available information. According to this view, securities consistently trade at their true value because the market processes all available information. As a result, it is considered highly unlikely for an investor to consistently outperform the overall market through stock […]
Econometrics Modelling: Example 1 Read More »
Bayesian Econometrics: Embracing Uncertainty and Prior Knowledge Bayesian econometrics has become an increasingly significant approach in the field of economics, largely due to its ability to incorporate prior knowledge and systematically handle uncertainty. By utilizing Bayes’ theorem, this method allows economists to merge prior beliefs with observed data, offering a comprehensive framework for analyzing economic
Bayesian Econometrics: Embracing Uncertainty and Prior Knowledge Read More »
Econometric Models and Techniques for Analyzing Financial Markets​ Financial markets are complex and dynamic, requiring advanced tools and techniques to understand their intricacies. Econometric models offer a powerful framework for analyzing financial markets, enabling researchers and practitioners to uncover meaningful insights. In this article, we delve into the world of econometrics and explore how it
Econometrics Models and Techniques for Analyzing Financial Markets​ Read More »
Stationarity refers to the property of a time series where the statistical properties (such as mean and variance) are constant over time. Ergodicity, on the other hand, refers to the property of a stochastic process where the time average of a process is equal to the ensemble average over all possible realizations of the process.
Stationarity Vs Ergodicity in Time Series data in Econometrics Read More »
In economic research, policy analysis, and forecasting, econometric approaches are frequently employed. The methods are employed to examine economic data and forecast future trends. Among the most popular econometric methods are: – Regression Analysis: This method is used to ascertain how variables are related to one another. For instance, the cost of promotion and the
Real Methodology of Econometrics and how it is used in practice Read More »
There is little doubt that every economic theory we studied is based on theoretical modeling first. It sprouted from an idea which later on was served to the world with improvements; assumptions, hypothesis tests and results came into prominence. These models are all the simplified versions of reality. Starting from the most basic law of
Everything You Ever Wanted to Know About Building Your Econometrics Model Read More »
During the lock down, classes shifted online and few YouTube channels started imparting the knowledge in a new avatar. As we know, learning econometrics online or offline is a tedious affair. But, these channels’ approach to present the subject to the audience have a different hue altogether. Fresh outlook and precise explanation. We present you
5 YouTube Channels for learning Econometrics online Read More »
Last week, I talked to a lot of students of Econometrics regarding the most difficult challenge they faced in Econometrics. The most common issue that emerged out of that discussion is constructing an econometrics model that is suitable for the data in hand and/or real world. Most often, data is not reliable as economists have
13 Most Common Econometrics Models for Researchers and Students Read More »
1. Multicollinearity Multi-collinearity is a type of disturbance in data, where the independent variables are related to each other making the statistical inference redundant. 2. Heteroscedasticity Heteroscedasticity or Heteroskedasticity occurs when the size of the error term varies across the values of the independent variable. 3. Auto correlation It measures the relationship between a variables’
Commonly Encountered Problem in Econometrics Read More »
Everyone is aware of the importance of a strong, stable foundation for high rise building. Basic mathematical tools are such skills which will help you interpret the results,and your concepts. We enlist the 4 such basic mathematical tools for your strong foundation for Econometrics. 1. Proportion and Percentage 2. Summation Operators 3. Descriptive Statistics 4.
3 Basic Mathematical Tools For Strong Econometrics Foundation Read More »
