MIDAS Matlab Toolbox

Repack of Mi(xed) Da(ta) S(ampling) regressions (MIDAS) written by Eric Ghysels and collaborators

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Allgemeine Informationen

Kompatibilität der MATLAB-Version

  • Kompatibel mit allen Versionen

Plattform-Kompatibilität

  • Windows
  • macOS
  • Linux
Version Veröffentlicht Versionshinweise Action
2.4.0

Add Legendre polynomial specification in the MIDAS_ADL function. Legendre polynomials are mutually orthogonal and avoid multicollinearity, compared to the non-orthogonal Almon power polynomials.

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2.3.0

Add a name-value pair 'DiscountIncrease' to MIDAS_ADL.

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2.2.0

Fix a bug in DccMIDAS FMINSEARCH when MATLAB Optimization Toolbox is not available.

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2.1.0

version2.1 Add MIDAS quantile regression

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2.0.0

Package written by Eric Ghysels and collaborators

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1.5.0

Support Ylag as a cell array such as Ylag = {3,6,9} for flexible low frequency lagged regressors
Support Xlag = 0, so that the high frequency regressors are suppressed. OLS results will be produced.
User guide is updated to the version July 16, 2015

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1.2.0

Update the user guide (version Dec 21, 2014)

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1.1.0

Allow leads and lags specification 'horizon' be negative.

Add true out-of-sample forecast; results are restored in the last output argument 'Extended Forecast' struct.

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1.0.0

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