Ongoing Research Projects

My co-author identified various inconsistencies while attempting to replicate past analyses from our working paper, Financial Statement Analysis with Large Language Models. Since then, I have independently confirmed these inconsistencies in the underlying data and analyses. Accordingly, we have temporarily withdrawn the working paper from circulation while we review the research findings. We have also decided to review certain other LLM-based working papers for similar issues.

Kim, A., Muhn, M., Nikolaev, V., 2023. “From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI.”

Kim, A., Muhn, M., Nikolaev, V., 2023. “Bloated Disclosures: Can ChatGPT Help Investors Process Financial Information?”

Kim, A., Nikolaev, V., 2023. "Context-based Interpretation of Financial Information." R&R at Journal of Accounting Research

McClure, C., Nikolaev, V., 2023. “Demand for Stocks and Accounting Information.” R&R at The Accounting Review

Lu, Y., Nikolaev, V., 2023. “The impact of climate hazards on banks' long-run performance.”

Kim, A., Nikolaev, V., 2023. “Profitability Context and the Cross-Section of Stock Returns.”

Kepler, J., Nikolaev, V., Scott-Hearn, N., Stewart, C., 2023. “Quality Transparency and Healthcare Competition.”

Andreicovici, I., van Lent, L., Nikolaev, V., Zhang, Ruishen., 2023 “Measurement Intensity.”

Nikolaev, V., 2019. “Identifying Accounting Quality.”