01922cas a2200301 a 4500 AALejournalIMF023119 230101c9999 xx r poo 0 0eng d 20.00 USD 9798400216312 1018-5941 BD-DhAAL BD-DhAAL Ando, Sakai. An Alternative Proof of Minimum Trace Reconciliation / Sakai Ando, Futoshi Narita. Washington, D.C. : International Monetary Fund, 2022. 1 online resource (12 pages) IMF Working Papers <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required Electronic access restricted to authorized BRAC University faculty, staff and students Minimum trace reconciliation, developed by Wickramasuriya et. al. (2019), is an innovation in the literature of forecast reconciliation. The proof, however, is indirect and not easy to extend to more general situations. This paper provides an alternative proof based on the first-order condition in the space of non-square matrix and argues 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. Mode of access: Internet Forecast Reconciliation imf Forecasting and Other Model Applications imf General Aggregative Models imf Minimum Trace Reconciliation imf Narita, Futoshi. IMF Working Papers; Working Paper ; No. 2022/136 Full text available on IMF https://elibrary.imf.org/openurl?genre=journal&issn=1018-5941&volume=2022&issue=136 IMF e-Library