0_PLAN_DE_ASIGNATURA_3_ULTIMAS_SEMANAS

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.

A three-stage construct validity assessment of the Statcast breaking ball taxonomy using PCA, kernel density estimation, and Bayesian hierarchical binomial models (n = 782k pitches, 2020-2025). After conditioning on movement, sliders and sweepers are statistically indistinguishable on all five pitcher-controlled process outcomes, failing discriminant validity. Partial predictive validity is retained for the sweeper label on contact suppression outcomes.

Análisis técnico de la información geológica asociada a la infraestructura petrolera. El documento segmenta la base de datos para evaluar cómo se distribuyen los pozos perforados a través de los distintos grupos geológicos y secuencias estratigráficas de las áreas de estudio.