Weight-Calibrated Factor Model Estimation for High-Dimensional Time Series

A 6.3 MB collection of files from figshare, authored by Xinghao Qiao, last updated in June 2026. It likely contains data and results supporting a novel weight-calibrated estimation method for factor models of high-dimensional time series. The dataset includes PDF, ZIP, and TXT files detailing the method's performance against covariance-based and standard autocovariance-based approaches.

Use Cases

• Benchmarking factor model estimation methods based on the described theoretical comparison
• Testing the performance of weight-calibrated estimation against covariance-based methods
• Analyzing the impact of factors with different strengths on estimation accuracy
• Simulating high-dimensional time series data for methodological validation

Strengths

• Files are 6.3 MB, indicating a substantial collection of supporting materials
• The description details a novel weight-calibrated method with established asymptotic theory
• Includes analysis of one financial and one macroeconomic dataset to illustrate the method's superiority

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect temporal or source bias inherent to the specific financial and macroeconomic examples

Provenance

Source

figshare

Collection Method

Likely generated through extensive simulations and analysis of financial and macroeconomic data sets as described.

Freshness

Last updated 2026-06-02 16:35:54; freshness should be verified