Read through the articles below to stay up to date with NumXL Pro and topics related to time series, statistics, modeling, forecasting, and many more.
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.
We are excited to announce a new development on the NumXL support front. We’ll be pooling external links and resources and posting them on our Facebook
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
Today, NumXL 1.57 SINGA has gone into Beta testing in preparation for official release, which is about a week away.
In addition to numerous fixes, NumXL 1.57 comes with an important feature: seasonal adjustment for time series using X11 / X12-ARIMA methodology.
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.
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