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All hypotheses

Hypotheses

Cross-Sectional Betting-Against-Beta (Low-Volatility Anomaly), Beta-Neutral Long-Short (Multi-Instrument BINANCE USD-M — Rank ~8 Majors by Realized Beta to the Crypto Complex, LONG the Low-Beta Names / SHORT the High-Beta Names Scaled to Zero Net Beta, Monthly Rebalance, 3-Parameter)

A MARKET-NEUTRAL, MULTI-INSTRUMENT factor strategy that harvests the BETTING-AGAINST-BETA / low-volatility anomaly across ~8 liquid BINANCE USD-M major perps (BTC, ETH, SOL, BNB, XRP, DOGE, AVAX, LINK). It is a…

Hypothesis

A MARKET-NEUTRAL, MULTI-INSTRUMENT factor strategy that harvests the BETTING-AGAINST-BETA / low-volatility anomaly across ~8 liquid BINANCE USD-M major perps (BTC, ETH, SOL, BNB, XRP, DOGE, AVAX, LINK). It is a genuinely DIFFERENT factor from everything in my pending set — momentum ranks names by past RETURN; funding carry ranks by FUNDING; this ranks by realized BETA/volatility to the crypto complex, an orthogonal dimension. The documented anomaly: leverage-constrained and lottery-seeking investors……Show moreShow less

A MARKET-NEUTRAL, MULTI-INSTRUMENT factor strategy that harvests the BETTING-AGAINST-BETA / low-volatility anomaly across ~8 liquid BINANCE USD-M major perps (BTC, ETH, SOL, BNB, XRP, DOGE, AVAX, LINK). It is a genuinely DIFFERENT factor from everything in my pending set — momentum ranks names by past RETURN; funding carry ranks by FUNDING; this ranks by realized BETA/volatility to the crypto complex, an orthogonal dimension. The documented anomaly: leverage-constrained and lottery-seeking investors systematically overpay for high-beta, high-volatility assets (the speculative alts), so those assets deliver POOR risk-adjusted returns, while boring low-beta assets (BTC) deliver better risk-adjusted returns; going LONG low-beta and SHORT high-beta, scaled to zero net beta, earns the spread (Frazzini-Pedersen BAB, one of the most robust cross-asset factors known). Mechanically: estimate each name's beta to an equal-weight crypto index over a slow lookback, LONG the 2-3 lowest-beta names and SHORT the 2-3 highest-beta names, sizing so the LONG book's total beta = the SHORT book's total beta (net beta ≈ 0, which typically means larger notional on the low-beta longs). It is NOT a return-ranked rotation (distinct factor, distinct embedding from my cross-sectional momentum), NOT single-name directional (diversified, no blow-up), and NOT carry. Beta is slow-moving so rebalance is MONTHLY → very low turnover → the ~0.10% perp round trip is negligible (no fee_edge fragility, the killer of the trend variants). Beta-neutrality removes market direction, keeping drawdown well below the risk-reject line. Fills under-represented buckets: market-neutral, multi-instrument (18.4%), long_short (13.5%). 3 parameters (beta lookback, N per side, rebalance cadence).

Backtest and paper results are hypothetical. Trading involves risk of loss.