The confluence of two digital forces—a shift towards platform-mediated peer-to-peer exchange, and a rise in the cognitive capabilities of artificial intelligence and robotics technologies—will dramatically reshape tomorrow’s workplace by making it difficult for a growing fraction of the...

Dynamic programming (DP) has been among the most popular techniques for solving multi-reservoir problems since the early 1960s. However, DP and DP-based methods suffer from two serious issues: namely, the curses of modelling and dimensionality. Later, reinforcement learning (RL) was introduced...

Artificial Intelligence (AI), although it is not an entirely new phenomenon, has been developing more intensively relatively recently. AI is based on artificial neural networks (ANNs), which are modelled upon the architecture of human brains. Beside several ethical issues, such as whether...

The team at Finamatrix has shown through real trading accounts that it is possible to produce superior returns i.e. 100% on a weekly to monthly basis with manual trading. However, the sustainability of the superior returns are subject to the limitations of human thinking processes that are prone...

Stock price movement prediction has been one of the most challenging issues in finance since the time immemorial. Many researchers in past have carried out extensive studies with the intention of investigating the approaches that uncover the hidden information in stock market data. As a result...

Sovereign investors are often referred to as long-term investors. But it is still unclear that these investors pertain to the same category, as they vary on many dimensions. Previous research proposed typologies of sovereign investors based on external criteria such as region or size of assets...