> For the complete documentation index, see [llms.txt](https://pijschain.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pijschain.gitbook.io/whitepaper/incentive-design/apr-targeting-and-emission-control.md).

# APR Targeting & Emission Control

PIJSChain targets a maximum initial annualized return of approximately 33.5%, subject to real-time network conditions, participation levels, and emission parameters.

Rather than guaranteeing fixed returns, the protocol dynamically adjusts reward flows to maintain:

* controlled inflation,
* resistance to reward manipulation,
* sustainability across market cycles.<br>

Emission follows an exponential decay aligned with the four-year halving schedule. Governance mechanisms may adjust internal parameters when necessary, while safeguards are in place to prevent predictable exploitation.


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