Expand model tag support: add GLM-5.1, simplify Anthropic IDs, scan tags anywhere in message
- Flink update_bars debouncing - update_bars subscription idempotency bugfix - Price decimal correction bugfix of previous commit - Add GLM-5.1 model tag alongside renamed GLM-5 - Use short Anthropic model IDs (sonnet/haiku/opus) instead of full version strings - Allow @tags anywhere in message content, not just at start - Return hasOtherContent flag instead of trimmed rest string - Only trigger greeting stream when tag has no other content - Update workspace knowledge base references to platform/workspace and platform/shapes - Hierarchical knowledge base catalog - 151 Trading Strategies knowledge base articles - Shapes knowledge base article - MutateShapes tool instead of workspace patch
This commit is contained in:
46
gateway/knowledge/trading/strategies/etfs/alpha-rotation.md
Normal file
46
gateway/knowledge/trading/strategies/etfs/alpha-rotation.md
Normal file
@@ -0,0 +1,46 @@
|
||||
---
|
||||
description: "Rotates into sector ETFs with the highest Jensen's alpha estimated from a Fama-French factor regression, replacing raw cumulative return momentum with factor-adjusted alpha as the ranking signal."
|
||||
tags: [etfs, alpha, momentum, fama-french, rotation]
|
||||
---
|
||||
|
||||
# Alpha Rotation
|
||||
|
||||
**Section**: 4.2 | **Asset Class**: ETFs | **Type**: Momentum / Factor-Adjusted Rotation
|
||||
|
||||
## Overview
|
||||
Alpha rotation is structurally the same as the sector momentum rotation strategy (Section 4.1), but replaces cumulative ETF returns `R_i^cum` with ETF alphas `alpha_i`. These alphas are the Jensen's alpha regression coefficients from a serial regression of each ETF's returns on the Fama-French factors, representing the ETF's return unexplained by common risk factors.
|
||||
|
||||
## Construction / Signal
|
||||
Run a serial regression of ETF returns `R_i(t)` on the 3 Fama-French factors (MKT, SMB, HML):
|
||||
|
||||
```
|
||||
R_i(t) = alpha_i + beta_{1,i} MKT(t) + beta_{2,i} SMB(t) + beta_{3,i} HML(t) + epsilon_i(t) (364)
|
||||
```
|
||||
|
||||
The regression coefficient `alpha_i` (Jensen's alpha) corresponds to the intercept and measures the ETF's risk-adjusted excess return relative to the Fama-French model. This alpha replaces `R_i^cum` as the ranking criterion.
|
||||
|
||||
ETFs are ranked by `alpha_i` (descending). Buy top-decile ETFs (highest alpha) and optionally short bottom-decile ETFs (lowest/most-negative alpha).
|
||||
|
||||
## Entry / Exit Rules
|
||||
- **Entry**: At rebalance, estimate alpha for each ETF over the estimation period; rank and enter positions in top-decile (long) and optionally bottom-decile (short).
|
||||
- **Exit**: Hold for the standard holding period; rebalance at next scheduled interval.
|
||||
- **Estimation period**: Typically 1 year; returns `R_i(t)` are daily or weekly.
|
||||
|
||||
## Key Parameters
|
||||
- **Factor model**: 3 Fama-French factors (MKT, SMB, HML); note alpha here is Jensen's alpha for ETF returns, not mutual fund alpha
|
||||
- **Estimation period**: Typically 1 year
|
||||
- **Return frequency for regression**: Daily or weekly `R_i(t)`
|
||||
- **Holding period**: Same as sector momentum rotation (1–3 months)
|
||||
- **Ranking criterion**: `alpha_i` (intercept of Fama-French regression)
|
||||
|
||||
## Variations
|
||||
- **4-factor model**: Add Carhart momentum factor MOM(t) to regression for a 4-factor alpha
|
||||
- **R-squared augmentation**: Combine alpha ranking with R-squared selectivity measure (see Section 4.3)
|
||||
- **Long-only**: Buy only top-decile ETFs by alpha
|
||||
|
||||
## Notes
|
||||
- Estimation period is typically 1 year with daily or weekly return data.
|
||||
- Jensen's alpha here is defined for ETF returns (not mutual fund returns as in Jensen, 1968).
|
||||
- Alpha rotation is analytically cleaner than raw momentum rotation as it removes systematic factor exposures from the ranking signal.
|
||||
- The MA filter and dual-momentum variations from Section 4.1.1 and 4.1.2 can also be applied here.
|
||||
- Can be combined with R-squared (Section 4.3) to further refine ETF selection.
|
||||
Reference in New Issue
Block a user