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… 更多内容 >>
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… 更多内容 >>

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… 更多内容 >>

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,… 更多内容 >>

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… 更多内容 >>

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,… 更多内容 >>

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… 更多内容 >>

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… 更多内容 >>

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

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… 更多内容 >>

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)… 更多内容 >>
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