# Market uncertainty

`kaal:entity:market-uncertainty`

**Status.** derived

This node is assembled mechanically from the 3 claims that carry the concept tag `market-uncertainty`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself.

## Every claim under this term

3 claims across 3 works, 2012 to 2024.

**2012**

- [2097160-014](https://wulfkaal.github.io/claims/2097160-014) [failure/argued] *(failure mode)* -- Regulatory triggers generate the highest level of uncertainty and can produce ad hoc regulatory decisions and adverse market responses, so they are not the best option for contingent convertible bonds in executive compensation.
  > Regulatory triggers may lead to market uncertainty and ad hoc decisions by regulators and result in adverse market responses. Because regulatory triggers generate the highest level of uncertainty,152 they may not be the best option
  Wulf A. Kaal, Contingent Capital in Executive Compensation (2012). SSRN: https://ssrn.com/abstract=2097160

**2015**

- [2629451-019](https://wulfkaal.github.io/claims/2629451-019) [mechanism/argued] -- The negative pricing of N/DPA firms immediately before the announcement reflects the market's negative assessment of the agreement and its associated fines, plausibly driven by uncertainty in the days before the announcement resolves it.
  > This data suggests that the market assesses the impact of the N/DPA and the often associated fines negatively immediately before the announcement of the N/DPA execution, which could be a function of market uncertainty before the N/DPA announcement.
  Wulf A. Kaal, Timothy Lacine, Stock Price Response to Non- and Deferred Prosecution Agreements (2015). SSRN: https://ssrn.com/abstract=2629451

**2024**

- [4900878-023](https://wulfkaal.github.io/claims/4900878-023) [failure/asserted] *(failure mode)* -- Traditional economic models fail to predict cryptocurrency price movements accurately, because token values swing rapidly on market sentiment, regulatory news, technological change, and macroeconomic trends, which are inherently unpredictable.
  > Traditional economic models often struggle to accurately predict these fluctuations due to their inherent unpredictability.
  Wulf A. Kaal, Quantum Economy and Tokenomics (2024). SSRN: https://ssrn.com/abstract=4900878

## Verify

Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust.

    curl -s https://wulfkaal.github.io/entities/market-uncertainty.md | sha256sum

**Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.