Under SR 26-2, Misclassification Is the New Model Risk
When materiality determines rigor, classification becomes a first-order governance issue.
Series introduction
The first two blogs in this… 続きを読む >>
Where SR 26-2 Creates Flexibility—and Where It Does Not
The opportunity is real, but it is narrower, more conditional, and more defensible-on-paper than a first read suggests.
Series… 続きを読む >>
SR 26-2 Did Not Lighten the Load. It Moved the Burden of Proof.
The real change is not the shorter guidance. It is the centrality of defensible judgment.
Series introduction
This is the first in a… 続きを読む >>
A practical MATLAB walkthrough comparing tracking error and exact exposure approaches.
When you build a factor-based portfolio, the central design choice is how strictly to enforce your factor… 続きを読む >>
Effective risk management increasingly requires understanding how climate‑related factors can influence market valuations and balance‑sheet resilience. CRISK provides a transparent, market‑based… 続きを読む >>
Systemic risk modeling is essential for central banks as financial systems grow more interconnected and vulnerable to sudden shocks. From market implied indicators to climate stress testing and… 続きを読む >>
In this technical session, Valerio Sperandeo, Senior Application Engineer, demonstrated how MATLAB can support financial institutions in building robust, transparent, and scalable risk models aligned… 続きを読む >>
Summary
Nasdaq Private Market (NPM) used MATLAB® to prototype and scale physics‑informed neural networks (PINNs) that price Special Purpose Vehicles (SPVs) with embedded carried interest and… 続きを読む >>
The Fundamental Review of the Trading Book (FRTB) is reshaping how banks measure and manage market risk. Beyond replacing Value at Risk (VaR) with Expected Shortfall (ES) to better capture tail risk… 続きを読む >>
The 2024 MathWorks Finance Conference brought together industry leaders to explore the evolving landscape of finance technology, with a focus on MATLAB applications. Across two days, participants… 続きを読む >>