Cryptocurrency is gaining worldwide recognition. This research examines the psychological determining factors of consumers’ cryptocurrency adoption behavior based on the theory of planned behavior. 452 samples are collected from U.S consumers and the data are analyzed by PLS-SEM. The findings reveal that consumer innovativeness has positive influences on the attitude and perceived behavioral control for cryptocurrency and in turn affects the intention to use cryptocurrency. Subjective norm is a significant predictor of cryptocurrency intention and the LOHAS lifestyle moderates the influence of attitude on the intention. This research offers theoretical and practical implications for the cryptocurrency market.

The primary objective of this study is to examine the extent of financial integration between Latin American and US financial markets, particularly in light of recent efforts to foster integration through trade agreements. Spanning from 1 January 1990 to 31 December 2019, the sample focuses on major market indices and key sectors. Financial integration is quantified using a DCC multivariate GARCH model, incorporating a smooth transition model, structural breaks, and regression-based approaches. Results indicate increased comovement with the US for main market indices in Argentina, Chile, Colombia, Mexico, and Peru, while Brazil shows a decrease. Similar trends are observed in sectoral analyses. This study also reveals heightened correlation post-trade agreements. Structural break analysis highlights significant shifts in dynamic correlations for countries with US free trade agreements. These findings support the argument of increased financial integration, bearing significance for portfolio diversification and international policy formulation.

The main purpose of this study is to empirically investigate the relationship between ETF flows and the volatility of NAV returns in Chinese ETF markets. Our empirical findings show that there is a positive relationship between ETF flows and the volatility of NAV returns. Additional analysis using flows–interaction terms shows that ETF demand and arbitrage flows are the main drivers of the volatility of NAV returns, compared to unexpected flows. From the analysis of IRFs, demand flow shock emerges as the most influential factor in long-term volatility compared to the other two shocks. Understanding the dynamics of flow-volatility can aid in designing regulatory frameworks that ensure market stability while promoting the advantages of ETF investments to market participants in order to reduce information asymmetry and maintain market efficiency.