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.
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 financial time series. Next, we will use historical data to develop a few methods to…
In this issue, we will tackle the probability distribution inference for a random variable. No matter how good a stochastic model you have, you will always end up with an error term (aka shock or innovation) and the uncertainty (e.g.…
We are pooling all the examples we have developed over the years and are making them available to our users via a cloud-based storage service (Box.net)!
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