This article focuses on analyzing the growth of China's industry during the period from 1992 to 2023 and calculating its forecast for the next 5 years. The aim of the article is to examine the short-term and long-term relationships between China's industrial development and the economic indicators of the selected factors. A quantitative method was applied in the study. To analyze the industry that characterizes economic development and the macroeconomic factors influencing this indicator, econometric time series models were used, including OLS (Ordinary Least Squares) and VAR.

The purpose of this study is to study the relationship between factors affecting the expansion of Islamic investment projects in the regions. The time series data from 2004 to 2024 on the number of Islamic investment projects in the regions and the independent factors that may affect were analyzed. The VAR model was used in our study. According to the results of our study, it was found that the selected independent factors are positively related to Islamic investment projects in the short term.

This article is dedicated to a comprehensive study of the issues surrounding the diversification of foreign exchange reserves in commercial banks of Uzbekistan. Based on statistical data spanning from 2018 to 2024 and the financial statements of 12 commercial banks, the composition of currency portfolios, risk management mechanisms, and diversification strategies were analyzed. The research findings reveal that 73,4% of foreign exchange reserves in Uzbekistan's commercial banks are concentrated in US dollars, which is 2.5–3 times higher than international standards and significantly increases systemic currency risk. Based on the proposed "5-currency optimal diversification model", it was determined that there is a potential to increase the banks' Sharpe ratio by 96%, reduce maximum losses under stress testing scenarios by 6.3 percentage points, and lower the VaR (Value at Risk) indicator by 4.4 percentage points