AI Analysis: Transactions in securities of private non-financial corporations

Executive Summary

This Statistics Canada dataset (Table 36100670) tracks monthly transactions in securities of private non-financial corporations from January 1990 to February 2026, spanning 434 monthly periods across 15 credit estimate categories covering gross issuances, redemptions, and net transactions in total, debt, and equity securities. Transaction values range widely from -$23,153M to +$43,103M CAD, with gross issuances of securities averaging the highest at $15,264M and net transactions showing the greatest volatility. The data reveals a dramatic post-pandemic surge in 2021 followed by a sharp 2022 reversal, with activity recovering to $2,220M in net transactions as of February 2026.

Key Findings

• The dataset covers 434 monthly periods and 6,510 total records from January 1990 to February 2026, with all values in millions of Canadian dollars (non-seasonally adjusted).
• Gross issuances, securities is the highest-averaging category at $15,264M CAD, while Net transactions in short-term debt securities is the lowest at just $82M CAD.
• Net transactions peaked at an average of $5,207M in 2021 reflecting post-pandemic corporate securities activity, then reversed sharply to an average of -$4,076M in 2022 — the most dramatic swing in the dataset's 36-year history.
• The strongest correlation in the dataset (0.967) exists between Gross issuances, debt securities and Gross issuances, long-term debt, indicating these two categories move almost in perfect lockstep.
• Net transactions in equity securities recorded the most extreme negative values in the dataset, with a minimum of -$23,153M, signalling periods of significant net selling or redemption of equity.
• Only 2 out of 62 monthly observations (approximately 3%) qualify as statistical outliers using a z-score threshold of 2.5, though the series exhibits very high volatility with a standard deviation of $7,829M against a mean of just $1,011M.
• Short-term debt categories show the tightest clustering with the lowest standard deviations, while long-term and total securities categories display the broadest variability across the full historical period.