Rajendra K.C. Khatri Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Philander Smith College

unknown

3 h-index 3 pubs 308 cited

Research Areas

Advanced Neural Network Applications Financial Markets and Investment Strategies Topic Modeling Computational Physics and Python Applications

Links

ORCID

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OverviewAI-generated summary

Rajendra K.C. Khatri's research focuses on the application of deep learning models for financial market prediction. His recent publications investigate the efficacy of Long Short-Term Memory (LSTM) networks and other deep learning techniques in forecasting stock market index prices, specifically referencing the NEPSE index. Khatri's work explores the predictive capabilities of these advanced computational methods within the domain of financial econometrics. His scholarship metrics include an h-index of 3, with 3 total publications that have garnered 308 citations.

Metrics

  • h-index: 3
  • Publications: 3
  • Citations: 308

Selected Publications

  • Predicting NEPSE index price using deep learning models (2022) DOI
  • Predicting stock market index using LSTM (2022) DOI

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