Numxl

This blog stemmed from a support case involving an enterprise customer who had difficulties running NumXL add-ins after the MIS/IT department implemented new security policies that restricted application add-ins and macros in Microsoft Excel via the Microsoft Trust Center:Under the “Add-ins” section, Check or select the” Require Application Add-in to be signed by Trusted Publisher.” Option. Under the “Macro Settings” section, Select or check the “Disable VBA macros except digitally signed macros” option. Although Spider Financial adheres to the best security practices and digitally codesigned the NumXL application and its associated macros, the end-user “Trusted Publishers” list did not include the public certificate of our codesigning key. Consequently, Microsoft Excel deactivated the NumXL add-ins and displayed a security warning message regarding the disabled active content. Resolution I: The Warning message above includes a button to enable the add-in only for the current session but to make it permanent, you’d need to click on the link in the warning message to take you to “File->Info”: Now, press on the “Enable Content” button, then select “Advanced Options”: Now, you can add Spider Financial as a “Trusted Publisher,” and the security warning will not reappear.The advantages of this approach are that it does not require heightened security permissions, meaning there is no need to contact the system administrator to add Spider Financial as a trusted publisher in the end-user list, unlike the local machine.IMPORTANT: This approach may not work if the MIS/IT department enforces additional policies that prevent end-users from adding to the trusted publisher’s list or instructs Microsoft Office to disregard the end-user’s “Trusted Publishers” list. In that case, let’s consider the second approach.Resolution II: Starting with version 1.69.5, the NumXL installer, using its elevated permission, attempts to add the public certificate to the local machine’s “Trusted Publisher” list. For older NumXL

Versions or if the installer fails to add the certificate, you should manually add it, as described below. To add or remove a public certificate from the “Trusted Publishers” list, launch the Microsoft Management Console (MMC) application by typing “mmc.exe” in a command window. The MMC requires elevated security permission, so you must call your administrator to complete this method. Next, use the menu to press “File” and select “Add/Remove Snap-in.” Select “certificates” from the list of Snap-ins and press the “Add >” button (between the two panels). Then, select the “Computer Account” for your “local machine.” Press the OK to complete. Now, select “Trusted Publishers” in the tree view in the left panel, and with your mouse, right-click in the right-hand panel and select “All Tasks->Import” from the popup menu. The certificate import wizard appears and asks for the certificate file. The NumXL public certificate file for the code-signing key can be found in the NumXL installation folder (e.g., C:\Program Files\NumXL). That’s all. The “Trusted Publishers” list should include Spider Financial.

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To examine a given time series for signs of the ARCH Effect, we conduct a statistical test for evidence of white noise (Ljung-Box Test) between the squared input time series.Similar to the regular white noise test, the hypothesis in question is:$$H_{o}: \rho_{1}=\rho_{2}=...=\rho_{m}=0 $$$$H_{1}: \exists \rho_{k}\neq 0$$NumXL provides an intuitive interface to help Excel users conduct an ARCH effect using several lag orders. In this tutorial, we’ll demonstrate the steps to perform a thorough ARCH test using NumXL functions and wizards in Excel.ProcessSelect an empty cell to store the ARCH Effect tests results table.Locate the Statistical Test (STAT TEST) icon in the toolbar (or menu in Excel 2003) and click on the down-arrow. When the drop-down menu appears, select “ARCH Effect Test”.The ARCH Effect Test dialog box appears.Select the cell range for the input data.Click the “Options” tab and pick a maximum lag order for this test.If your data include one or more intermediate observations with missing values, click the “Missing Values” tab.Click “OK”.OutputThe test wizard generates the ARCH Effect Test statistics for different lag scenarios.

In a statistical sense, a time series ${x_t}$ is characterized as having a weak white test in Excel (white noise) if ${x_t}$ is a sequence of serially uncorrelated random variables with zero mean and finite variance. Strong white noise also has the quality of being independent and identically distributed, which implies no autocorrelation.In particular, if $x_t$ is normally distributed with mean zero and standard deviation $\sigma$, the series is called a Gaussian white noise (white test in Excel).Statistical TestingTo examine the data series for evidence of any serial correlation, we use Ljung‐Box statistical test and the modified $Q^*(m)$ statistics.The Ljung‐Box Test:$$H_o:\rho_1=\rho_2=\rho_3=...=\rho_m=0 $$ $$ H_1:\exists \rho_{1\leqslant k\leq m} \neq 0$$Where:$H_o$: Null Hypothesis (White noise)$H_1$: Alternative hypothesis (not white noise)$m$: Upper lag limit of the test. The upper lag limit can either be set by us or left for the function to pick a proper limit. Practitioners use $\ln{T}$ as a proper value for $m$.Ljung‐Box StatisticsThe Ljung‐Box statistics (i.e. $Q^*(m)$) is an enhancement on the classical $\chi^2$ test especially for small samples size.$$Q^*(m)=T(T+2)\sum_{j=1}^m{\frac{\rho_j^2}{T-j}} Q^*(m)\sim \chi_{\nu=m}^2$$This is a one‐tail statistical test, A p‐value greater than the significance level ($\alpha$) leads us to not‐to‐reject the null hypothesis or, in other words, the time series is a white test in Excel (white noise).WNTestWNTest function in NumXL computes the P‐value for the $Q^*(m)$ statistics for our sample data. The upper lag limit ($m$) is set by default to $\ln{T}$, but the user can override this value by passing a value for this parameterExample: Using the NumXL descriptive statistics form, we computed the various summary statistics and performed Ljung-Box white noise test (WNTest) among others.The summary statistics and tests:The P-Value of the Ljung-Box white noise test (white test in Excel) is greater than significance level (i.e. $\alpha$), so we don't reject the white noise hypothesis ($H_o$), or, simply stated; there is no statistical evidence of a serial correlation, so the data can be white noise.Tutorial Video