3 papers
econ.EM2026
A Nontrivial Upper Bound on the Out-of-Sample in Return Forecasting
Cheng Zhang
This study establishes a nontrivial upper bound on the out-of-sample () in return forecasting. In particular, we define a coin-flip oracle model that, under…
cs.CE2024
Movement Prediction-Adjusted Naive Forecast: Is the Naive Baseline Unbeatable in Financial Time Series Forecasting?
Cheng Zhang
In financial time series forecasting, the naive forecast is a notoriously difficult benchmark to surpass because of the stochastic nature of the data. Motivated by this challenge,…
cs.LG2023
1D-CapsNet-LSTM: A Deep Learning-Based Model for Multi-Step Stock Index Forecasting
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
Multi-step stock index forecasting is vital in finance for informed decision-making. Current forecasting methods on this task frequently produce unsatisfactory results due to the i…