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Article

An Alternative Proof of Minimum Trace Reconciliation

Research Department, International Monetary Fund, 700 19th St NW, Washington, DC 20431, USA
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Author to whom correspondence should be addressed.
Forecasting 2024, 6(2), 456-461; https://doi.org/10.3390/forecast6020025
Submission received: 6 May 2024 / Revised: 11 June 2024 / Accepted: 13 June 2024 / Published: 18 June 2024
(This article belongs to the Special Issue Feature Papers of Forecasting 2024)

Abstract

Minimum trace reconciliation, developed by Wickramasuriya et al., 2019, is an innovation in the literature on forecast reconciliation. The proof, however, has a gap, and the idea is not easy to extend to more general situations. This paper fills the gap by providing an alternative proof based on the first-order condition in the space of a non-square matrix and arguing that it is not only simpler but also can be extended to incorporate more general results on minimum weighted trace reconciliation in Panagiotelis et al., 2021. Thus, our alternative proof not only has pedagogical value but also connects the results in the literature from a unified perspective.
Keywords: forecast reconciliation; minimum trace reconciliation; hierarchical time series forecast reconciliation; minimum trace reconciliation; hierarchical time series

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MDPI and ACS Style

Ando, S.; Narita, F. An Alternative Proof of Minimum Trace Reconciliation. Forecasting 2024, 6, 456-461. https://doi.org/10.3390/forecast6020025

AMA Style

Ando S, Narita F. An Alternative Proof of Minimum Trace Reconciliation. Forecasting. 2024; 6(2):456-461. https://doi.org/10.3390/forecast6020025

Chicago/Turabian Style

Ando, Sakai, and Futoshi Narita. 2024. "An Alternative Proof of Minimum Trace Reconciliation" Forecasting 6, no. 2: 456-461. https://doi.org/10.3390/forecast6020025

APA Style

Ando, S., & Narita, F. (2024). An Alternative Proof of Minimum Trace Reconciliation. Forecasting, 6(2), 456-461. https://doi.org/10.3390/forecast6020025

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