We Solve Capital Allocation and Risk Optimization Challenges
Businesses today face complex decisions under uncertainty; How to allocate resources, manage risk, and forecast outcomes with confidence.
At RODWAL, we solve these challenges using advanced mathematical models that simulate, optimize, and guide strategic decisions.
Struggling to balance risk and return across your investments or operations?
We apply Modern Portfolio Theory (Markowitz Model) to help businesses optimize capital allocation, product portfolios, and resource distribution. Whether you're managing financial assets, inventory, or expansion strategies, we build data-driven models that identify the most efficient trade-offs between risk and reward—so you can make confident, high-impact decisions.
Use Cases:
-
Inventory Allocation
-
Budget Allocation
-
Energy Resource Planning
We Solve Forecasting Challenges in Uncertain Environments
Struggling to forecast demand, prices, or performance in volatile markets?
We use stochastic models—like Monte Carlo simulations and Geometric Brownian Motion—to simulate thousands of future scenarios and uncover the most likely outcomes. Whether you're projecting stock prices, planning inventory, or evaluating project risk, our models help you make confident, data-driven decisions under uncertainty.
Use Cases:​
-
Price Forecasting - Simulate volatility and price paths.
-
Demand Planning - Forecast seasonal and promotional demand.
-
Project Risk Assessment - Model cost timeline uncertainty.
Portfolio Review Report
This comprehensive PDF analyzes historical stock prices and employs advanced Brownian motion simulations to project future price distributions. Gain clear insights into probability ranges, expected profitability, and risk analysis for each position, empowering you to optimize your financial strategies with confidence