Author

Di-Fang Huang

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Preprint Sep 2026

Does Training on Future Data Pay? Look-Ahead Bias in Forecasting with Pretrained Models

We examine whether post-origin training information inflates the measured accuracy and economic value of financial forecasts. We evaluate five sets of financial time-series foundation models, each comprising independently trained annual vintages under U.S., global, and factor-augmented training environments, across 14...

Hai-Qiang Chen, Li Chen, Yun-Long Chen et al. · 0 citations

Preprint Jul 2026

Do Carbon Price Forecasts Improve Compliance Procurement? Evidence from European Union Allowances

Firms covered by emissions trading systems need forecasts not only to value allowances, but also to decide when to buy them. This paper asks whether European Union Allowance (EUA) prices contain short-horizon predictability that survives a forecast-origin information design and improves simulated compliance procurement...

Muzi Chen, Di-Fang Huang, Shouyang Wang et al. · 0 citations