Replication folder for “Optimal Contract Design and Securities Implementation with Dynamic Investment and Learning”

This repository contains MATLAB code for numerical analysis and simulation of optimal contract design in small and medium-sized enterprises (SMEs) with dynamic investment decisions and Bayesian learning mechanisms. The code implements the theoretical framework described in the accompanying research paper, solving the Hamilton-Jacobi-Bellman (HJB) equation to derive optimal contracts, investment policies, and incentive structures.本代码仓库包含用于针对具备动态投资决策与贝叶斯学习机制的中小企业（Small and Medium-sized Enterprises, SMEs）开展最优契约设计的数值分析与仿真模拟的MATLAB代码。本代码实现了配套研究论文中阐述的理论框架，通过求解哈密顿-雅可比-贝尔曼（Hamilton-Jacobi-Bellman, HJB）方程，推导得到最优契约、投资策略与激励机制。