Rigorous econometric research and quantitative analysis from our PhD economists and data scientists. Peer-reviewed methodologies applied to institutional investment challenges.
Using network analysis and trade flow data, we quantify how geopolitical tensions propagate through global supply networks. Our event study methodology examines 150+ geopolitical events (2020-2025) and their impact on sector rotation strategies. The research develops new risk metrics for supply chain exposure assessment in institutional portfolios.
Empirical analysis of how CBDCs alter traditional monetary policy channels across G20 economies, with implications for institutional portfolio positioning.
Novel application of transformer architectures to momentum signal generation, demonstrating 40% improvement in Sharpe ratios over traditional approaches.
Systematic framework for incorporating physical climate risks into multi-asset portfolios using satellite data and climate modeling.
Blockchain transaction flow analysis reveals new metrics for digital asset risk management and portfolio optimization.
Vector autoregression analysis of post-pandemic labor dynamics impact on value, growth, and quality factor performance.
LSTM-GRU hybrid models outperform traditional GARCH specifications in forecasting realized volatility across asset classes.
All research publications are peer-reviewed academic work for educational purposes only. Econometric models and quantitative findings do not constitute investment advice or recommendations. Past research performance does not guarantee future investment results. Consult qualified advisors before making investment decisions.
Disclaimer: Animus Global Capital operates as a private investment management partnership for qualified investors under Regulation D of the U.S. Securities Act. Nothing on this website constitutes an offer to sell or a solicitation to buy any securities or investment products. All investments involve risk, including possible loss of principal. Past performance is not indicative of future results.
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