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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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5 results for “Nepal”

External Demand, Domestic Monetary Conditions, and Remittance Dynamics in Nepalecon.GN

Study examines remittances in Nepal, linking external demand and domestic monetary conditions.

problem Understanding the dynamics of remittances in Nepal's economy.

method Constructed composite indices via PCA for external demand and domestic monetary conditions. Used ARDL, cointegration, DOLS, ECM, and machine learning for analysis.

result Strong positive long-run effect of external demand on remittances, significant negative impact of tighter domestic monetary conditions.

Nepal Remittances External Demand Monetary Conditions PCA

2026-05-19abs ↗pdf ↗

Kalimati Vegetable Price Index Forecasting with a Momentum Corrected Online Stacking Ensemblecs.LG

Study forecasts vegetable prices in Nepal using a novel index and ensemble model.

problem High volatility and cultural influences on agricultural commodity prices.

method Developed KVPI, created features, evaluated multiple models, introduced Momentum-Corrected Online Stacking Ensemble.

result Achieved RMSE of 1.771, MAPE of 0.68%, and R-squared of 0.845 at 90-day horizon.

agricultural prices vegetable forecasting Kathmandu ensemble learning momentum correction

2026-05-29abs ↗pdf ↗

At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definitioncs.LG

Unified model estimates landslide hazard combining susceptibility, intensity, and frequency.

problem Lack of unified statistical models for landslide hazard estimation.

method Deep learning combined with extreme-value theory.

result Model performs excellently and can estimate hazard for multiple return periods.

landslide hazard deep learning extreme value theory climate change Nepal

2024-01-25abs ↗pdf ↗

Unsupervised Detection of Sub-events in Large Scale Disasterscs.SI

Paper detects important sub-events in disaster tweets.

problem Identifying useful information during large-scale disasters.

method Extract noun-verb pairs, learn semantic embeddings, rank and cluster.

result Effective unsupervised learning framework for sub-event detection.

disaster response social media natural language processing crisis analysis sub-event detection

2019-12-13abs ↗pdf ↗

XGBoost Forecasting of NEPSE Index Log Returns with Walk Forward Validationcs.LG

XGBoost predicts NEPSE Index log returns with low error and high directional accuracy.

problem Forecasting daily log-returns in the NEPSE Index with high accuracy.

method XGBoost machine learning, feature engineering, hyperparameter optimization, walk-forward validation.

result Optimal XGBoost configuration achieves lowest log-return RMSE and MAE.

XGBoost NEPSE Index log returns walk-forward validation feature engineering

2026-01-13abs ↗pdf ↗