Investment professionals rely on extrapolating company revenue into the future to approximate the valuation of the companies in a high-growth stage. However, the financial data on growth companies is typically proprietary, costly and scarce, ruling out the wide adoption of data-driven approaches. As a result, we propose and productionize an efficient algorithm to perform long-term revenue extrapolation (with confidence estimation) using scarce data.
– We propose an efficient algorithm that can extrapolate revenue of growth companies (with confidence estimate) using scarce data.
– The revenue prediction indicates the valuation of the company, making the investment decisions informed.
– We will also briefly talk about how we productionize this algorithm on our investment platform.