The new version can be installed directly via the Macrobond platform by clicking the yellow line that appears on the screen or by selecting “Check for update” from the Help menu. If you need assistance, a description of how to upgrade is provided by the IT-department, which may be found here.
The new version can be installed directly via the Macrobond platform by clicking the yellow line that appears on the screen or by selecting “Check for update” from the Help menu. If you need assistance, a description of how to upgrade is provided by the IT-department, which may be found here.
The major new feature of 1.12 is that Macrobond now supports 64-bit versions of Microsoft Office, EViews and MATLAB.
There are now two installation packages:
If you use the automatic upgrade functionality, you will always continue to use the same type of installation as before. To switch from the 32-bit to the 64-bit installation package, you need to run Setup as described on https://redir.macrobond.com/go/installation.
There is a new column in the lists of series results called “Notes” that shows an exclamation mark for important series.
You can move it or turn it off in the “Edit|Select columns” dialog.
We have added a new way of grouping series in the Scalar analysis called “Partition into”. There is also a new column called “Group” in the list of input series that illustrates which group each series goes into.
The new Statics analysis allows you to add several statistics for each series. You can specify the estimation sample range for each calculation and also determine if the resulting time series should cover the whole range or only the estimation range.
There is a new setting that controls if month initials, such as J, F and M, can be used when showing month labels on the x-axis:
There is a new setting in the Rate of change analysis for calculating the logarithmic change:
This calculates 100 x (Ln(xi)-Ln(xi-t))
We have added another section to the report from the Histogram analysis containing not only the 1% but also the 5% tail expectations. This can be used to estimate Value at Risk (VaR) and Expected shortfall (ES).
There is a new setting in the Regression analysis called “No intercept”. When this option is selected, the model is solved without a constant.