This study explores the relationship between CBN primary auction stop rates and secondary market yields for 364-day Nigerian Treasury Bills (NTBs) during January–May 2026. Using 101 daily secondary market yield observations collected from my trading desk at Sterling Bank and 12 bi-weekly CBN auction stop rates, I apply five analytical techniques — Exploratory Data Analysis, Data Visualisation, Hypothesis Testing, Correlation Analysis, and Linear Regression — to investigate yield dynamics, pricing efficiency, and the predictive power of primary auction outcomes on secondary market behaviour. The analysis reveals a statistically significant and narrowing primary-secondary yield spread, strong inter-market correlation, and a regression model that explains approximately 87% of secondary yield variance. Developed as a Case Study 1 (Exploratory & Inferential Analytics) submission for Data Analytics II at Lagos Business School (MMBA programme), Prof Bongo Adi, April 2026. Built in Quarto with dual R and Python implementations.

This study explores the relationship between CBN primary auction stop rates and secondary market yields for 364-day Nigerian Treasury Bills (NTBs) during January–May 2026. Using 101 daily secondary market yield observations collected from my trading desk at Sterling Bank and 12 bi-weekly CBN auction stop rates, I apply five analytical techniques — Exploratory Data Analysis, Data Visualisation, Hypothesis Testing, Correlation Analysis, and Linear Regression — to investigate yield dynamics, pricing efficiency, and the predictive power of primary auction outcomes on secondary market behaviour. The analysis reveals a statistically significant and narrowing primary-secondary yield spread, strong inter-market correlation, and a regression model that explains approximately 87% of secondary yield variance. Developed as a Case Study 1 (Exploratory & Inferential Analytics) submission for Data Analytics II at Lagos Business School (MMBA programme), Prof Bongo Adi, April 2026. Built in Quarto with dual R and Python implementations.