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Quantitative Finance

Investment Management, Risk Management, Algorithmic Trading, Econometric Modeling, Pricing and Insurance

Posts 1 - 10 of 11

Results for: Risk Management

Responding to SR 26-2: From Strategic Interpretation to Practical Evidence | Part 1 of 4

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… read more >>

Portfolio Optimization with Target Factor Exposures

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… read more >>

CRISK: A Market‑Based Framework for Quantifying Climate Risk in Banking

Effective risk management increasingly requires understanding how climate‑related factors can influence market valuations and balance‑sheet resilience. CRISK provides a transparent, market‑based… read more >>

Systemic Risk Modeling with MATLAB: Tools and Techniques for Central Banks

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… read more >>

Credit and Market Risk Management: From Risk Modeling to Regulatory Compliance

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… read more >>

Pricing Special Purpose Vehicles with Physics‑Informed Neural Networks at Nasdaq Private Market

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… read more >>

Navigating FRTB: Standardized vs Internal Models – and the Role of Scriptable Risk Engines

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… read more >>

Highlights from the MathWorks Finance Conference 2024

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… read more >>

Top MATLAB Quantitative Finance Resources now on GitHub

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… read more >>

MathWorks Finance Conference 2023

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… read more >>

Posts 1 - 10 of 11