We introduce the jump intensity and investor sentiment from the Hawkes and Contact processes to forecast Realized Range-based Volatility using high frequency intraday data. Investor sentiment factor is added to the benchmark models, which are Heterogeneous Auto-Regressive with Continuous...

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...

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...