Release Notes

Change log for communicating new features, fixes, and revisions of Excel Lab.

1.1.0.11885 (2025-05-02)

Spring cleaning season!

Updated

Prerequisites for Matlab runtime updated for version 24.2

1.0.0.11884 (2023-12-26)

Happy holidays! Santa has been busy, new API connection this holiday season.

Added

New licensing server API connection.

• New licensing API connection.

1.0.0.11875 (2023-12-01)

Preparations for licensing server upgrade support for unlock code feature.

1.0.0.11863 (2023-10-09)

Fixed a gremlin that is fussy on double-precision machine errors.

Updated

• ISMATRIXPSD now checks and accounts for double-precision differences in the upper and lower triangular corrected matrix, i.e. symmetry is verified.

1.0.0.11845 (2023-06-27)

Refinements to several existing functions and new runtime framework.

Updated

• IMPLIEDRETURNS added specification for covariance matrix as an optional parameter.
• PSR improved handling for machine epsilon.
• ISMATRIXPSD now uses Newton's method by minimizing the Frobenius distance.
• New runtime (9.13).

1.0.0.11555 (2022-08-05)

Added desmoothing returns functionality to Excel Lab.

Added

• DESMOOTHRETURNS using a first-order autoregressive model.

Updated

• Improvements to authentication process.

1.0.0.11271 (2021-11-18)

Introducing scenario modification functionality to Excel Lab based on our innovations in scenario analysis.

Added

• IMPLIEDSCENARIO solve for the implied scenario estimates across economic variables to reconcile with your target probabilities.

1.0.0.11166 (2021-09-07)

Small improvements to calculator logic and verification.

Updated

• Default marshalling between Microsoft Excel and Excel Lab's engine for missing values. This will impact MLERISK and MLERETURNS where users will have to explicitly specify missing values in their workbook's cells as $=\text{NA()}$ in the formula bar.

1.0.0.10882 (2021-01-15)

It has been an exciting week working with early adopters, we have had very constructive feedback.

Added

• BOOTSTRAP sample from a dataset with replacement with equal or custom probability weights across sample periods. Draw from a univariate or multivariate sample with the option to apply a set of portfolio weights to the multivariate sample.

Updated

• Wrapper fix for VERIFYLICENSE.

1.0.0.10874 (2021-01-11)

It has been an exciting week working with early adopters, we have had very constructive feedback.

Updated

• XLABINFO now also returns general information in cell in addition to a UI dialog.
• MAHALANOBIS new optional input arguments, giving you more control.
• QUIETRISK the threshold parameter is now based from an inliers perspective.
• PSR minor refinements to code elegance and speed.

1.0.0.10855 (2021-01-01)

Happy new year 🎉

Added

• MATRIX concatenate disjointed vectors (or matrices) quickly and intuitively within Excel.

Updated

• Security enhancements in offline license manager.

1.0.0.10853 prerelease (2020-12-30)

Ready for prime time!

Added

• SCENARIOPR added an optional free parameter to model fatter tails for calculating scenario probabilities.

Updated

• Improved licensing verification.

• Revised matrix orientation and dimensional fixes for iso-curve functions.

1.0.0.10752 prerelease (2020-11-13)

Feature-creep is getting intense!

Added

• MVFRONTIER solve for multiple optimal portfolios on the efficient frontier.
• MTFRONTIER solve for multiple optimal portfolios to evaluate relative risk.

1.0.0.10746 prerelease (2020-11-11)

Sometimes, we have to regress in order to progress 😅

Added

• MAXDD maximum drawdown in Excel - forget your VBA code upkeep!
• COVMATRIX an much easier and direct way to compute covariance matrix, with the ability to treat missing data as well.

• CORRMATRIX you can't have the covariance matrix without some correlation coefficients.

• PORTFOLIORISK forget nested MMULT and SUMPRODUCT formulas! Vector math simplified!

Updated

• PSR added argument to allow the specification for the predictor values for the partial sample regression model. This allows the analyst to specify any set of predictor values to evaluate a response for the dependent variable forecast based. If not specified, as previously implicitly assumed, the most recent observations of the dependent variables are used with the model parameters for forecasting.

1.0.0.10720 prerelease (2020-11-03)

Hello world! Lots of coffee and rock music in the background at Windham Labs. The Excel Lab quant library is being tested and worked on extensively by the team. We are getting things ready to bring this exciting tool to your desk.

Added

• CAPM calculate equilibrium returns
• IMPLIEDRETURNS run a reverse optimization
• MLERETURNS maximum-likelihood return estimates
• ANNUALIZERISK annualize risk to account for compounding and log-normality
• EWMA exponential moving average risk model
• HISTORICALRISK estimate expected risk from historical data
• MAHALANOBIS compute the Mahalanobis distance statistic
• MLERISK maximum-likelihood risk estimates
• TURBULENTRISK estimate risk based on statistical outliers
• QUIETRISK estimate risk based on statistical inliers
• MVT multi-goal optimization (mean-variance tracking error)
• MVO mean-variance optimization
• MTO mean-tracking error optimization
• ISORETURN solve for an iso-return efficient frontier (risk vs. tracking error)
• FACTORANALYSIS run multi-factor OLS and stepwise regression analysis
• LOSSPR estimate probability of loss continuously and conventionally
• OMEGARATIO calculate the omega ratio
• PSR run partial-sample regressions, a new novel approach to regression analysis
• SORTINORATIO calculate the Sortino ratio
• TAILRATIO estimate tail ratio from empirical data
• VALUEATRISK estimate value at risk measures continuously and conventionally
• ISMATRIXPSD check matrix for positive semi-definite (PSD) properties / solve to nearest PSD values
• MCNORM simulate multi-variate normal random values using Monte-Carlo
• SCENARIOPR calculate scenario probabilities implied from empirical data