Alternative Asset Analytics
| Actionable insights from private capital experts
Performance assessment & predictive analytics for private markets.
Led by Harvard Business School’s Josh Lerner, Bella Analytics offers a suite of performance benchmarking and forecasting solutions developed exclusively for private market participants.
Our technology and modeling frameworks offer novel ways to overcome longstanding issues in private market analytics. Leverage data to model cash flows and understand performance for private market portfolios. Apply sophisticated methods developed in academia using simple, intuitive features.
Liquidity modeling
|
Generate probabilistic ranges of inflows and outflows from private capital portfolios.
Plan commitment schedules to achieve target allocations.
Better manage cash holdings to maximize total portfolio returns.
|
Portfolio construction
Explore varying portfolio constructions to optimize returns for a given level of risk.
Estimate risk and return inputs for total portfolio allocation models.
Analyze the effects of potential portfolio restructurings.
Resources
Seeing The Future: Can Historical Simulations Accurately Predict Private Market Portfolio Outcomes?
In this paper, we compare the accuracy of two methodologically distinct private market portfolio cash flow forecasting models—the popular Takahashi-Alexander model and our novel Historical-Simulation model—via extensive backtesting analysis.
| View paper in Journal of Portfolio Management
Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations
In this paper, we propose a novel historical simulation approach that leverages historical data to generate ranges of private equity portfolio outcomes without requiring input assumptions, addressing key issues of the longstanding Takahashi-Alexander model.
Understanding Performance Benchmarking
One of the most vexing questions in private equity is the assessment of investment returns. We provide an overview of private market performance benchmarking.
