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 >>
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 Guide to Git in MATLAB
The Problem You Already Have
You know the folder. Somewhere on your machine there is a directory that looks like this:
A familiar sight: version history encoded… 続きを読む >>

Economists often keep years of work in EViews workfiles: macroeconomic series, model estimates, and curated panel data. The MATLAB Reader for EViews Workfile reads .wf1 and .wf2 files into MATLAB,… 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 >>

Expert Contributor: Dr. Yuchen Dong
Yuchen is a Senior Application Engineer at MathWorks focusing on customers in the financial services industry. His focus areas are financial instruments,… 続きを読む >>

Expert Contributor: Dr. Eduard Benet Cerdà
Edu is a Senior Application Engineer at MathWorks advising customers in the development and deployment of financial applications. His focus… 続きを読む >>

R2026a covers a lot of ground for economists—Bayesian state-space estimation, macro-scale forecasting, climate and physical risk mapping, symbolic dynamics, and AI-assisted model review, among… 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 >>

Nonlinear confidence bands help you quantify forecast uncertainty in DSGE models, but they can be slow to compute. At the MathWorks Finance Conference, Kadir Tanyeri (International Monetary Fund)… 続きを読む >>
これらの投稿は著者に属するものであり、必ずしも MathWorks の見解を示すものではありません。