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Topic · Statistics & Econometrics

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Time Series

40 articles · 5 checkpoints · 26 deeper reads · 9 reference notes

A standalone topic: it is on no roadmap, so read it on its own terms.

Every article, in reading order

plant a flag as you finish each

Read these first

  1. Two fingerprint plots that tell you, before you fit anything, roughly how many lags of a time series' own past actually matter, the first step of building an ARIMA model instead of guessing at one.

  2. The disciplined three-step loop, identify, fit, check the leftovers, for building an ARIMA model without either underfitting the structure or overfitting the noise.

  3. How to turn a day's worth of high-frequency price ticks into a single, far more accurate volatility number than squaring one close-to-close return, and why simply using more and more ticks eventually makes the estimate worse, not better.

  4. A way to re-view a time series not as a sequence over time but as a mixture of hidden cycles of different lengths, so a repeating pattern in the data shows up as a spike you can point to, instead of something you have to spot by eye.

  5. The regression that lets two cointegrated series drift apart in the short run but always adds a pull back toward their long-run relationship, the engine behind statistical-arbitrage pairs trading.

Then the rest

Reference notes9 short entries