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Quantitative Finance

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

Results for: Time Series

Refining Macroeconomic Forecasting with MATLAB Techniques

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)… read more >>

Speeding Up Dynare Models: Practical Paths to Performance Gains 1

Dynamic Stochastic General Equilibrium (DSGE) models are essential tools for policy analysis and forecasting, but estimation runs often exceed 24 hours—particularly for large-scale models or Bayesian… 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 >>

Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction 2

The following blog was written by Owen Lloyd , a Penn State graduate who recently join the MathWorks Engineering Development program.
The code used to develop this example can be found on GitHub… read more >>