Draft talk:Information-Implied Volatility
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Request for Feedback on Draft: Information-Implied Volatility
[edit]Hello editors,
I am developing the draft article Draft:Information-Implied Volatility and would appreciate feedback regarding notability, sourcing, and structure before submitting it for review.
Summary of Topic
[edit]Information-implied volatility (IIV) is a term used in academic finance to describe the conditional variance of returns based on the arrival of non-price information. The concept is grounded in established research areas such as:
- Bayesian learning in financial markets
- The mixture-of-distributions hypothesis
- Market microstructure models linking information flow to volatility
- Regime-switching models in econometrics
The draft summarizes how informational inputs—such as macroeconomic announcements, corporate disclosures, textual sentiment, and alternative data—can be incorporated into volatility estimation frameworks.
Notability Justification
[edit]The topic is supported by multiple peer-reviewed academic sources, including articles from:
- Journal of Finance
- Econometrica
- Journal of International Money and Finance
- Financial text analysis literature
- Research by Hamilton (1989), Kim & Nelson (1999), Pastor & Veronesi, Clark (1973), and Andersen & Bollerslev (1998)
These works provide extensive secondary-source coverage related to information arrival and volatility.
No Original Research
[edit]The draft does not introduce new formulas or unverified claims. All modeling approaches and mathematical expressions reflect established methodologies from peer-reviewed literature.
Structure and Style
[edit]The draft follows Wikipedia’s Manual of Style for academic articles:
- Neutral tone
- Clear section structure
- Citation templates
- No promotional language
- Definitions aligned with usage in published research
Request
[edit]I would welcome comments on:
- Whether the sources are sufficient for notability
- Suggested additional secondary sources
- Improvements to clarity or structure
- Whether the article is suitable for submission for review
Thank you for your time and assistance.