Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Best Excel Tutorial

The Largest Excel Knowledge Base ✅ The Best Place to Learn Excel Online ❤️

How to do Vecm in Excel

The Vector Error Correction Model (VECM) is an econometric model used to analyze cointegrated time series data. It extends the Error Correction Model (ECM) to multiple variables, enabling you to capture both short-term dynamics and long-term relationships among several non-stationary time series. VECM is widely utilized in econometrics, especially when dealing with non-stationary data that share a long-term equilibrium relationship.

Implementing a VECM in Excel is challenging due to the advanced statistical computations required, such as conducting Johansen’s cointegration test, estimating cointegration vectors, and constructing error correction terms. Specialized statistical software like R, EViews, or Stata is typically preferred for these tasks because they offer built-in functions that handle complex calculations efficiently.

Read More

How to make Kpss test in Excel

The KPSS (Kwiatkowski-Phillips-Schmidt-Shin) test is a statistical test used to check for the stationarity of a time series around a deterministic trend. Unlike the Augmented Dickey-Fuller (ADF) test, which tests for unit roots, the KPSS test assumes that the series is stationary around a trend and tests against the null hypothesis of stationarity. Conducting a KPSS test in Excel requires a series of steps, as Excel does not have a built-in function for this specific test. However, you can perform the test by manually calculating the necessary statistics or using Excel’s capabilities for statistical analysis with some setup.

Read More