On the public citation graph

Investor Sentiment and Asset Returns: Actions Speak Louder than Words

https://doi.org/10.2139/ssrn.4281161
0 signed · 6 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4623989openalex-extracted
Statistical Properties of News Sentiment Inhibit Return Predictability
inferred← citeshttps://doi.org/10.2139/ssrn.4661716openalex-extracted
Do Actions Speak Louder than Words? Evidence from the Bottom-Up Approach
inferred← citeshttps://doi.org/10.1007/s10479-026-07369-6openalex-snapshot
Improving futures market predictions with sentiment using a pre-trained robustly-optimized bidirectional encoder representations from transformers approach in China
inferred← citeshttps://doi.org/10.1016/j.bir.2025.09.006openalex-snapshot
Financial literacy, investor sentiment, and Bitcoin returns: Panel evidence from the Eurozone
inferred← citeshttps://doi.org/10.1080/1351847x.2024.2306942openalex-snapshot
Investor sentiment and stock market returns: a story of night and day
inferred← citeshttps://doi.org/10.70675/c246d8f7z7d6az4ee2z81f0zecae3f0b0115openalex-snapshot
Sentiments du marché financier et apprentissage automatique
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.