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BlackRock Workshop: Introduction to Research Notebook

Clone me.

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11 responses

Beta Hedging Algorithm

We used WLS algo to give more weight to recent observations.

Shorter Lookback Window & using GLS

Day 1 Submission. Using exponential decay weighting of 75 day history.

Take 150 days history and split to 2 halves. Weight the older half by 0.2 and the latest half by 0.8

Aggregate betas from various length lookback windows.

weighted window length, narendra babu

Mohinder Chopra

Simple time weighting (overweighting most recent data versus oldest by number of days from lookback)

Time weighting

LM code downturn in extended timeframe because certain symbols could not be sold at that time, there's a start date set for track_orders().