Time Series

Financial data is fundamentally temporal, and treating it otherwise leads to subtle, expensive mistakes. I write about time-series decomposition, stationarity testing, proper train/test splitting for temporal data, and the pitfalls of applying cross-sectional methods to sequential observations. These articles focus on the practical challenges of working with market data that has autocorrelation, regime changes, and non-stationarity baked in.