This paper proposes an empirical model for analyzing the dynamics of Bitcoin prices. To do this, we consider a vector error correction model over two overlapping periods: 2010-2017 and 2010-2019. Price discovery is achieved through the Gonzalo-Granger permanent-transitory decomposition. The...

The market for payments is an important two-sided one, where consumers benefit from increased merchant acceptance of payment cards and vice versa. The dependence between the decisions that are made on each side of the market results in various network externalities that are often discussed but...

Accurate prediction of Bitcoin prices is a purported boon for risky investors, more so, if the forecasts are largely unconditional. This paper introduces a class of autoregressive fractionally integrated moving average model with asymmetric exponential generalized autoregressive score errors to...

We investigate the relationship between centralized and decentralized collective demand models applied to consumption within a household with multiple individuals. The centralized program is described by a Bergsonian representation of the household utility function and a household budget...

This study aims to investigate the factors that can predict the behavioral intention of students at public universities in Saudi Arabia to use Cryptocurrency. The UTAUT model was enhanced with the incorporation of security and awareness to develop the theoretical model for this investigation....