earnings-forecast

To forecast earnings and compare them to analyst consensus, use top-down and bottom-up forecasting methods to generate an EPS prediction and benchmark it against market consensus to identify mispricings and trading opportunities.

SUE, or Standardized Unexpected Earnings, measures the gap between actual earnings and analyst consensus. Calculating SUE helps identify earnings surprises that generate actionable PEAD and momentum-based trading signals.

PEAD, or Post-Earnings-Announcement Drift, works as a trading signal by capturing the price momentum that follows an earnings surprise. It leverages the market's delayed reaction to the difference between actual earnings and analyst consensus.

Yes, earnings forecast analysis supports both A-shares and US stock markets. The framework applies top-down and bottom-up forecasting alongside SUE and PEAD signals across these equity markets, including multi-industry comparative analysis.

The best way to combine top-down and bottom-up forecasting for stock analysis is to integrate macroeconomic drivers with company-level fundamentals to output a comprehensive EPS prediction, which is then compared against analyst consensus.

You should use earnings momentum signals, such as SUE and PEAD, when aiming to capture mispricings derived from analyst expectation errors. This approach focuses on earnings surprises and subsequent price drift rather than static valuation metrics.