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Research

Alternative Data

Data sources, documentation and the limits of interpretation.

Overview

Alternative data is evidence about markets that does not come from price and volume alone — search activity, text or other observable behavior — and it carries a validation burden at least as strict as any price-based signal before it is treated as informative.

Core questions

  • Does a novel data source carry information not already reflected in price?
  • How should a new signal source be tested against the same overfitting risks as any price-based signal?

Mathematical formulation

Attention-proxy predictive regression

A simple predictive regression of next-period returns on the change in a search-volume index (SVI), the form used to test whether retail attention, measured indirectly through search activity, precedes price movement — the question any alternative-data source must answer before it is treated as a signal.

Methods we use

  • Search-attention data as a market variable

    Da, Z., Engelberg, J., & Gao, P. (2011). In search of attention. Journal of Finance, 66(5), 1461–1499.

  • Multiple-testing-aware validation of new signal sources

    Harvey, C. R., Liu, Y., & Zhu, H. (2016). …and the cross-section of expected returns. Review of Financial Studies, 29(1), 5–68; and Bailey, D. H., & López de Prado, M. (2014). The deflated Sharpe ratio. Journal of Portfolio Management, 40(5), 94–107.

Open problems

  • How should a new data source's limited history be treated when it did not exist for the full length of an otherwise longer backtest window?
  • What false-discovery correction is appropriate when many alternative-data sources are screened for signal in parallel?

This page describes the field's established methods, not DaraHoosh's own results, parameters or current use of them.