External Demand, Domestic Monetary Conditions, and Remittance Dynamics in Nepal

Battle Count: 66

The paper is primarily a macroeconomic/development economics study focused on remittance determinants in Nepal. While it uses time series forecasting and econometric techniques relevant to quantitative analysis, its direct applicability to trading strategies is limited. The findings on external demand sensitivity and monetary policy effects could inform macro-level risk assessment for currencies or sovereign debt in remittance-dependent economies, but do not provide direct trading signals or portfolio strategies.

The methodology involves a multi-step pipeline: PCA construction, multiple unit root tests with structural breaks, ARDL bounds testing, DOLS estimation, two-step ECM, Granger causality, and multi-model forecasting. While each individual technique is well-established, the comprehensive pipeline with small-sample adjustments, imputation handling, and scenario-based projections requires significant econometric expertise. Python implementation using statsmodels and scikit-learn is accessible, but proper interpretation and diagnostic validation demand advanced knowledge.

The paper states all estimations were implemented in Python 3.13 using statsmodels, scikit-learn, pandas, and matplotlib. Data sources are identified (World Bank WDI, Nepal Rastra Bank, U.S. EIA). However, no public GitHub repository is provided; code and data are stated to be available from the corresponding author upon request. Imputation methodology is documented but full replication requires contacting the author.