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quant relevance 0.99
The paper proposes a passive execution algorithm that uses order identifiers to shadow individual third-party limit orders by placing and cancelling associated orders. It evaluates replay-simulation slippage and sensitivity to latency for CME ES futures against aggressive POV execution.
quant relevance 0.96
The paper converts calibrated future-price regions into static option portfolios with certified payoff constraints over those regions. Its numerical illustration constructs forecast intervals and payoff and loss bounds rather than running a conventional realized-performance backtest; implementation can use daily underlying prices and end-of-day listed-option data while respecting execution timing and contract availability.
we backtested it — Sharpe 0.67 · quant relevance 0.90
The paper develops a leverage and drawdown-risk framework for multi-asset allocation, including a generalized Kelly portfolio and benchmark-relative allocations under a specified drawdown-risk target. It implies dynamic leverage and portfolio sizing based on estimated returns and covariances rather than variance alone.
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The paper derives closed-form optimal entry and exit thresholds for long and short perpetual variance-swap positions under a physical-measure CIR/Heston variance model, variance-risk-premium assumptions, and carrying costs.
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Backtest and model results are research artifacts, not live trading results and not a guarantee of future performance. Informational and educational purposes only. Not individualised investment advice.