Strategy #0000000108 · Sentiment factors and market regimes
Investor sentiment and anomaly timing
Enter a sentiment index, regime threshold, high/low short-leg returns and costs.
Baker and Wurgler combine several market proxies into a sentiment index and find stronger effects among hard-to-value, hard-to-arbitrage stocks. Stambaugh and co-authors find that short legs of several anomalies are more pronounced after high sentiment. Index construction, publication lags and regimes matter; sentiment alone is not a market-reversal instruction.
No sentiment index or anomaly portfolio is computed; borrow, crowding and drawdowns are not modelled.
Three ways in
Understand the story. Then inspect the risk.
Start with a familiar situation, check the payoff, then test how the numbers change.
The idea · in two minutes
Do short-leg scenarios differ between high- and low-sentiment regimes?
Baker and Wurgler combine several market proxies into a sentiment index and find stronger effects among hard-to-value, hard-to-arbitrage stocks. Stambaugh and co-authors find that short legs of several anomalies are more pronounced after high sentiment. Index construction, publication lags and regimes matter; sentiment alone is not a market-reversal instruction.
Enter a sentiment index, regime threshold, high/low short-leg returns and costs.
No sentiment index or anomaly portfolio is computed; borrow, crowding and drawdowns are not modelled.
- Input assumptionsEnter a sentiment index, regime threshold, high/low short-leg returns and costs.
- Model outputNo sentiment index or anomaly portfolio is computed; borrow, crowding and drawdowns are not modelled.
Illustrative research examples only. They are not live signals or a recommendation.
The mechanics · payoff and exposure
S_t=PC_1(IPO, turnover, issuance, dividend\ premium,\ldots)
S is a standardised sentiment score; high/low-regime short-leg returns are entered assumptions.
Greeks: the directional intuition
- 訊號
- Measures sensitivity to implied volatility.
- 資料
- Measures sensitivity to implied volatility.
- 執行
- Measures sensitivity to implied volatility.
S_t=PC_1(IPO, turnover, issuance, dividend\ premium,\ldots)
Practical context · published observations
Investor sentiment and anomaly timing: read the record with its caveats.
The chart uses the published figures or explicitly labelled study inputs below. A historical index or model replay is not the same as an investor’s realised account return.
No sentiment index or anomaly portfolio is computed; borrow, crowding and drawdowns are not modelled. Source ↗ · Methodology ↗
Change assumptions and inspect the scenario
Inputs illustrate the strategy mechanics; they are not live quotes, forecasts or investment advice.
Variants · same family, different risk levers
Data proxies, holding periods and portfolio construction affect signal interpretation.
Compare measurement and implementation assumptions.
| Related strategy | Relationship | What changes | New cost or risk |
|---|---|---|---|
| Base scenario | Manual inputs | Baker and Wurgler combine several market proxies into a sentiment index and find stronger effects among hard-to-value, hard-to-arbitrage stocks. Stambaugh and co-authors find that short legs of several anomalies are more pronounced after high sentiment. Index construction, publication lags and regimes matter; sentiment alone is not a market-reversal instruction. | No sentiment index or anomaly portfolio is computed; borrow, crowding and drawdowns are not modelled. |
| Conservative version | Higher threshold | Raise signal/sample thresholds and reduce exposure. | May reduce eligible names. |
| Validation version | Out-of-sample review | Freeze definitions before time-ordered evaluation. | Needs clean, representative data. |
No sentiment index or anomaly portfolio is computed; borrow, crowding and drawdowns are not modelled.
Read beyond the summary
References
Primary sources and research used to describe the strategy and its limits.