Applying the theory of statistical physics systems – the voter model, a random stock price model is modeled and studied in this paper, where the voter model is a continuous time Markov process. In this price model, for the different parameters values of the intensity λ, the lattice dimension...

This paper proposes an optimal hedging strategy with market frictions using Long Short Term Memory Recurrent Neural Network (LSTM-RNN) method, which is a modification of method proposed in Buehler et al. (2019a). The market frictions are transaction cost, liquidity constraint, trading limit and...

Cryptocurrencies including Bitcoin are known to be vulnerable to so-called “doublespending” attacks, where the same digital currency is used to execute multiple different transactions simultaneously. Little is known, however, about the underlying reasons for this vulnerability. Here we...

This paper presents an agent-based simulation model of carbon emission trading market with heterogeneous agents. The carbon emission reduction strategies available to agents are production output adjustment strategy, carbon market emissions trading strategy, carbon emission abatement technology...

The impacts of a CEO’s social connections to a firm have received much attention. However, less is known on between-CEOs differences in building connections. This paper is a step towards filling this gap by investigating whether CEOs social connections are influenced by China’s local alcohol...