NumXL
Developer(s) | Spider Financial Corp |
---|---|
Initial release | April 15, 2009 |
Stable release | 1.63.41810.1 / June 5, 2014 |
Development status | Active |
Written in | C/C++ |
Operating system | Windows |
Type | econometrics software |
License | proprietary |
Website | www.spiderfinancial.com |
NumXL (Numerical Analysis for Excel) is an econometrics/time series analysis add-in for Microsoft Excel. Developed by Spider Financial, NumXL provides a wide variety of statistical and time series analysis techniques, including linear and nonlinear time series modeling, statistical tests and others.
Although NumXL is intended as an analytical add-in for Excel, it extends Excel’s user-interface and offers numerous wizards, menus and toolbars to automate the mundane phases of time series analysis. The features include summary statistics, test of hypothesis, correlogram analysis, modeling, calibration, residuals diagnosis, back-testing and forecast.
NumXL users come from various backgrounds of finance, economics, engineering and science. NumXL is used in academic and research institutions as well as industrial enterprises.
NumXL User's Interface
NumXL comes with an elaborate user-interface (i.e. menu and toolbar) and interactive wizards to improve the general usability of the software. The NumXL UI components automate some steps in time series analysis and modeling.
Using the UI components and the wizards, the user can specify the time series of interest, fine-tune the desired analysis options and designate the location on his/her worksheet for the output. NumXL generates the corresponding analysis blocks (with underlying formulas) in the designated location
Function Categories
NumXL Functions are organized into eleven(11) categories:
Descriptive Statistics
- Autocorrelation function(ACF) and Partial autocorrelation function (PACF).
- Cross-correlation functions - XCF and EWXCF
- MD, RMD, MAD
- Statistical Functions - Calculate the excess kurtosis of the standardized GED and Student's t-dist.
- Empirical distribution functions: Histogram, EDF and KDE
Statistical Testing
- Hypothesis Test for population mean, for standard deviation, for skewness and for excess kurtosis.
- Normality test using Jarque–Bera test, Shapiro–Wilk test, and Chi-square test methods.
- White-noise test - Serial correlation tests (Portmanteau Test, Ljung-Box test and modified Q-test).
- Autoregressive Conditional Heteroskedasticity (ARCH) effect test.
- Augmented Dickey-Fuller (ADF) unit-root test.
- Multicollinearity test.
- Regression Stability Test (Chow test).
Transform
- Box-Cox and inverse Box-Cox transform.
- Logit, Probit and complementary log log link functions and its inverse.
- LAG or Backshift operator,
- Seasonal difference operator
- Time Series Integral operator
- Add, Subtract, scale, and chronological order reverse functions.
- Remove missing values from a time series.
Smoothing
- WMA
- Exponential smoothing functions: Brown's simple exponential, Holt-Winters double exponential, Brown's linear exponential, and Winters triple exponential smoothing functions.
- Time Series Trend - Linear, polynomial, logarithmic, exponential, and power
Spectral Analysis
- Discrete Fourier Transform and inverse.
- Hodrick Prescott filter.
- Baxter-King (BK) filter.
Date and Calendar
- Weekday and workdays calculations
- International weekend support
- 11 international Holidays support.
ARMA Modeling
- Autoregressive Moving Average (ARMA) model
- Autoregressive integrated moving average model (ARIMA)
- Seasonal ARIMA (SARIMA)
- AirLine Model
- X-12-ARIMA, Seasonal adjustment (X11)
- Autoregressive moving average exogenous model (ARMAX)
- Seasonal Autoregressive integrated moving average exogenous model (SARIMA-X)
- Goodness of fit - LLF, AICc and model's diagnosis.
- Forecast and back-testing
- Simulation
ARCH/GARCH Analysis
- Basic Operators - EWMA/EWV
- GARCH Model.
- Exponential GARCH (E-GARCH) Model.
- GARCH in the mean (GARCH-M) Model.
- Support for Gaussian, Student's t and GED distributed innovations/shocks.
- Goodness of fit - LLF, AICc and model's diagnosis
Factor Analysis
- Simple Linear Regression (SLR)
- Multiple Linear Regression (MLR)
- Principal Component Analysis (PCA) and Principal component regression
- Stepwise regression
- Generalized Linear Model (GLM)
- Support for the following Canonical link Functions:
Distribution | Name | Link Function |
---|---|---|
Normal | Identity | |
Poisson | Log | |
Binomial | Logit | |
Binomial | Probit | |
Binomial | Complementary log-log |
Advanced (Combo) Models
- Model Definition Function.
- Mixed Model - likelihood function.
- Goodness of fit - LLF, AICc, and model's diagnosis.
Utilities
- Interpolation Functions - Flat forward/backward, linear, and cubic spline interpolation.
Compatibility with Microsoft Excel
NumXL's statistical analysis software is compatible with all Excel versions from version 97 to version 2013 (aka Office 365), and is compatible with the Windows 9x till Windows 8 (32 and 64-bit) systems.
Release history
Version[1] | Release | Year | Release Date | Notes |
---|---|---|---|---|
NumXL 1.0 | 1.0 | 2009 | October 1, 2009 | Official release |
NumXL 1.0 | 2010 | January 5, 2010 | Maintenance Release I | |
NumXL 1.0 | January 26, 2010 | Maintenance Release II | ||
NumXL 1.0 | September 2, 2010 | Maintenance Release III | ||
NumXL 1.5 | 1.5 | 2011 | June 13, 2011 | New version |
NumXL 1.51 | ORB | September 23, 2011 | Maintenance release. | |
NumXL 1.51.40905.1 | December 28, 2011 | Maintenance release I | ||
NumXL 1.51.40927.3 | 2012 | January 19, 2012 | Maintenance release II | |
NumXL 1.52.40934.5 | January 26, 2012 | New version | ||
NumXL 1.52.41002.5 | April 3, 2012 | Maintenance release I | ||
NumXL 1.52.41018.1 | April 19, 2012 | Maintenance release II | ||
NumXL 1.53.41023.1 | SAC | April 25, 2012 | New version | |
NumXL 1.53.41025.1 | April 26, 2012 | Maintenance release I | ||
NumXL 1.54.41030.2 | RED | May 2, 2012 | New version | |
NumXL 1.55.41040.2 | LYNX | May 11, 2012 | New version | |
NumXL 1.56.41060.2 | ZEBRA | May 31, 2012 | New version | |
NumXL 1.57.41168.2 | SINGA | September 17, 2012 | New version | |
NumXL 1.58.41197.1 | BAJA | October 16, 2012 | New version | |
NumXL 1.59.41245.1 | TUCSON | December 3, 2012 | New version | |
NumXL 1.59.41288.1 | 2013 | January 14, 2013 | Maintenance Release I | |
NumXL 1.59.41295.1 | January 21, 2013 | Maintenance Release II | ||
NumXL 1.59.41304.1 | January 30, 2013 | Maintenance Release III | ||
NumXL 1.59.41325.1 | February 19, 2013 | Maintenance Release VI | ||
NumXL 1.59.41339.1 | March 6, 2013 | Maintenance Release VII | ||
NumXL 1.59.41341.1 | March 8, 2013 | Maintenance Release VIII | ||
NumXL 1.59.41346.1 | March 13, 2013 | Maintenance Release IX | ||
NumXL 1.59.41366.1 | April 2, 2013 | Maintenance Release X | ||
NumXL 1.59.41372.1 | April 8, 2013 | Maintenance Release XI | ||
NumXL 1.59.41374.1 | April 11, 2013 | Maintenance Release XII | ||
NumXL 1.60.41413.1 | APACHE | May 20, 2013 | New version | |
NumXL 1.60.41415.1 | May 21, 2013 | Update 1 | ||
NumXL 1.60.41418.1 | May 24, 2013 | Update 2 | ||
NumXL 1.61.41445.1 | BOLAS | June 20, 2013 | New version | |
NumXL 1.61.41462.1 | July 7, 2013 | Update 1 | ||
NumXL 1.62.41788.1 | DEWDROP | Nov 24, 2013 | New version | |
NumXL 1.63.41810.1 | SHAMROCK | 2014 | June 6, 2014 | New version |
See also
- EViews—A statistical package for Windows
- gretl—an open source alternative to EViews
- Rcmdr—an open source R-based alternative to SPSS
- OxMetrics—an alternative econometrics package
- RATS
- Comparison of statistical packages
- AREMOS
References
- ↑ NumXL Team. "NumXL Release Notes".
External links
- NumXL Home page
- NumXL Getting Started
- NumXL Weekly Tips and Hints
- NumXL Release notes
- NumXL Tutorial Videos
- NumXL Community
- NumXL Facebook
- NumXL Twitter
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