Read through the articles below to stay up to date with NumXL Pro features, support and applications.
What exactly is the Hurst Exponent? How do we use it in Excel? And how do we interpret the calculated values? In our latest issue of Tips & Tricks, we will go over the Hurst exponent in-depth. By examining the monthly average carbon dioxide (CO2) levels recorded in a weather station in Hawaii, we’ll help you develop intuition and an insight into the subject.
This issue addresses how to use Fourier Transform to filter a signal using only K frequency components with the highest amplitudes.
Over the past few weeks, several users reported various problems with NumXL toolbar in Office 365 on Windows 10. After a thorough investigation and long troubleshooting sessions, we have realized that a recent Microsoft Windows Cumulative update (KB4511553) released back in August 2019, has broken parts of our VBA code in the NumXL toolbar.
There are several block sites that are using our name NumXL and offering a free cracked version of our software. Those sites are not affiliated with NumXL and often times their downloads contain malware and viruses that can harm your machine.
After receiving several inquiries about the exponentially weighted moving average (EWMAi) function in NumXL, we decided to dedicate this issue to exploring this simple function in greater depth.
We are excited to announce a couple of new developments on the NumXL support front: (1) We revamped the ‘Getting Started’ user’s guide, and (2) We are pooling all the NumXL tutorial videos and making them available on a single Youtube channel.
This week, we’ll take the prior discussion further and develop an understanding of autoregressive conditional heteroskedasticity (ARCH) volatility modeling. Why do we care? Volatility cannot be directly
This week, we continue our on-going series on volatility modeling and forecast. In this issue, we start by defining the various terms in an asset’s
This week, we will show how to make a backward forecast using only NumXL functions in Excel. We will also discuss the relationship between a regular time series model and an implied backward/reversed time series model.
We start a new on-going series on volatility modeling and forecast. In this issue, we start with the definition and general dynamics of volatility in
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