We examine economic convergence among subnational regions of Bangladesh over the period 1992-2013. Unavailability of the traditional gross domestic product (GDP) for subnational areas and building on findings of recent luminosity literature, we use night lights intensity as a proxy for local...

Gold is often used by investors as a hedge against inflation or adverse economic times. Consequently, it is important for investors to have accurate forecasts of gold prices. This paper uses several machine learning tree-based classifiers (bagging, stochastic gradient boosting, random forests)...

Climate change, green consumers, energy security, fossil fuel divestment, and technological innovation are powerful forces shaping an increased interest towards investing in companies that specialize in clean energy. Well informed investors need reliable methods for predicting the stock prices...

This paper explores risk management strategies for investments in Nonfungible Token (NFT) coins through their diversification within the S&P 500 industry sectors. Given the significant decline in NFT coin values in 2022, understanding these strategies is critical for investors. This study...

We analyse economic convergence across 64 districts of Bangladesh using newly harmonized satellite night light data over 1992-2018. The growth in night lights – taken as a proxy for regional economic activity – reveals overwhelming evidence of absolute convergence. Regional differences in...