Nowcasting Private Market Valuations
Developing nowcasting methods for more accurate, timely NAV estimates in private markets.
Abstract
This research focuses on developing nowcasting methods for more accurate, timely NAV estimates in private markets. We employ advanced statistical techniques and machine learning algorithms to provide real-time valuation estimates for private market investments, addressing the challenge of infrequent and delayed reporting in private equity and venture capital.
This research is part of our ongoing efforts to advance the understanding of financial market dynamics through innovative computational methods. The sole rights to the content remain with the authors, and as it represents ongoing research, it is subject to change.