Excel Time Series Made Easier
Transform Excel into a first-class time series software and econometric tool. Use accurate statistical calculations comparable to ones offered by other elite statistical packages. Apply scores of econometric functions, a rich set of shortcuts, and intuitive user interfaces to guide you through the entire process. Whether you have a simple problem or a large-scale project, NumXL simplifies your efforts, and helps you reach your goal in the quickest and most thorough way possible.
Time Series Analysis for Microsoft Excel
- 1-Stop solution: no moving data between apps or programming is needed.
- Keep all of your data, models, and analysis linked together
- On-the-fly changes, share your results with just one file
Need help? NumXL is backed by a responsive, knowledgeable in-house support team - not a faceless off-shore entity reading from pre-written scripts.
Need more help? we can offer you one-on-one training or support in time series analysis, modeling and forecast, so that you can fully benefit from the software's full analytical capabilities.
[June 12,2013] This week, we present our fourth installment in our ongoing series of selected case studies. As with the other installments, we use real financial data to construct models with the help of NumXLi
In this case study, we examine closely the highway retail price ($/Gallon) for "No.2 Ultra Low Sulfur (0-15 ppm) Diesel" in the EIAi nine (9) PADD regions. We carry on principal component analysis in an attempt to find a minimal subset of the principal components that capture (or explains) the variation (spreads) in prices across different regions with a minimal loss of information.
Making sense of Diesel Prices
[June 5, 2013] This is our third installment in an ongoing series of demonstrating select case studies. We'll use real financial data to construct models with the help of NumXLi.
In this paper, we discuss the capital asset pricing model (CAPMi) underlying assumptions, define systematic and idiosyncratic risk, and outline their implication on the covariance among assets. Afterward, using a simple regression model, we compute the CAPM sensitivity factor (beta) for two different tech stocks: Microsoft and IBM. This paper will pave the way for more advanced factor modeling techniques in upcoming tutorials.
Calculating CAPM Beta
May 20, 2013 With great reluctance, Spider will be increasing the price of a NumXLi license with the release of NumXL 1.60 (Apache)
As a token of our appreciation to current customers, we decided to exclude them from this price change. We deeply appreciate your continued support. Thank you for being great users.
For a complete list of the changes that will take effect with the release of Apache, please refer to the NumXL release notes.
May 20, 2013: We are excited to announce the release of the latest version of NumXLi 1.60 (APACHE).
In addition to many fixes, the new version now thoroughly supports principal component analysis (PCA) and regression analysis and modeling. This will greatly streamline the process of creating robust regression models for everyday use without missing a beat. This version also include multicollinearity and regression stability tests.
For a complete list of the changes, please refer to the NumXL release notes.
The latest update to the NumXL software you’ve been waiting for is almost here. But we first need your input.
In addition to many bug fixes, the new beta version includes extra functions every analyst should have access to.
With NumXL 1.60, you will be able to perform regression analysis, principal component analysis, a multi-collinearity test and a Chow test for regression stability through a simple, user-friendly interface.
We encourage our customers to join the beta program by contacting our beta support team at firstname.lastname@example.org for information about the program and instructions for downloading NumXL-beta.