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… 더 읽어보기 >>
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… 더 읽어보기 >>
Effective risk management increasingly requires understanding how climate‑related factors can influence market valuations and balance‑sheet resilience. CRISK provides a transparent, market‑based… 더 읽어보기 >>
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… 더 읽어보기 >>
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… 더 읽어보기 >>
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… 더 읽어보기 >>
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… 더 읽어보기 >>
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… 더 읽어보기 >>
The following blog was written by Sara Galante, Senior Finance Application Engineer at Mathworks.
MathWorks now has a curated selection of quant finance resources using MATLAB . Whether you’re… 더 읽어보기 >>
It’s my pleasure to give everyone a sneak peek into the upcoming MathWorks Finance 2023 conference, which will be held virtually over 2 days on October 11 and 12.
You will get a chance to hear how… 더 읽어보기 >>