The Alpha Break-Even Cost: Where Trading Edges Go to Die
A momentum strategy returned 9.17% at zero costs. At 35 bps per trade, its edge vanished. At 50 bps, 49% of the promised wealth was destroyed.
A momentum strategy returned 9.17% at zero costs. At 35 bps per trade, its edge vanished. At 50 bps, 49% of the promised wealth was destroyed.
A 60/40 portfolio's beta to the S&P 500 ranged from 0.30 to 0.79 over 20 years. The stock-bond correlation regime, not the allocation, drives the swing.
Market regimes are different causal structures, not parameters. Evidence is mixed on accuracy but agrees: markets change structure.
The realized ERP averaged 12.15% over rolling 10-year windows from 2007-2026 — nearly triple the 4.33% implied estimate. But 17% of years went negative.
Three strategies, same Sharpe ratio, wildly different risk. Six metrics that reveal what Sharpe misses.
Most trading indicators are the same signal in different formulas. Stacking them with AI adds overfitting, not edge. What grounds a system is a mechanism you can explain.
Four position sizing methods backtested on 15 years of SPY data. Buy-and-hold, trend filter, volatility-targeting, and the combination — with real numbers.
Alpha is real, but it erodes. Every edge ever found has been slowly arbitraged away by the market — a self-equilibrating machine that fixes its own glitches. Yet some things persist.
Ben Wellington of Two Sigma explains why the quant edge moved from data to feature engineering. LLMs change the game — but discipline, not data, is the new moat.
Three popular portfolios, 15 years of real backtest data, one uncomfortable truth: they all harvest the same equity risk premium. Leverage scales it. Complexity doesn't change it. True diversification requires fundamentally different risk premia.
The one portfolio variable you can actually control. A real SPY backtest shows why scaling your position to a volatility target beats letting the market decide your risk for you.
The simplest idea in investing — and the one that quietly builds the most wealth. What Nick Maggiulli's book gets right, in numbers.
Why most so-called alpha was never alpha — and how ordinary investors can capture the risks that actually pay, while skipping the ones that don't.
Harry Markowitz called it the only free lunch in investing. A tiny example shows why it's nearly magic — and why real diversification is about understood drivers, not a correlation number.