The ease of Internet stock trading has lured relatively inexperienced investors into the financial markets. We study the consequences of the influx of these uninformed traders with a dynamic equilibrium framework. Our results show that these strategic uninformed online traders who adopt feedback strategies cannot outperform those who do not follow feedback strategies and that feedback trading c...

Algorithmic trading has becomes a huge proportion of the trades executed on securities exchanges around the world. Reduced transaction costs have faciliated a new generation of trading strategies which depend on computing and network speed. Algorithmic trading also poses a new set of risks and challenges regulators to keep up. This paper reviews the technology infrastructre supporting algorithm...

The weekend effect is described as the tendency for Monday security returns to be low (or negative) compared to other days of the week. The weekend effect may not be exploited by trading individual stocks because of transactions costs. However, the institutional characteristics of the US-based international open-end mutual funds may allow investors to exploit the weekend effect because mutual f...

Increasing complexity of the modern market dynamics requires new quantitative frameworks for the discovery of stable portfolio strategies. Important requirements include the ability of the coupled and self-consistent optimization of the dynamic strategies and asset allocations as well as robust built-in mechanisms for the strategy complexity control to ensure acceptable out-of-sample performanc...

The purpose of this report is to review the evidence on the profitability of technical analysis. To achieve this purpose, the report comprehensively reviews survey, theoretical and empirical studies regarding technical trading strategies. We begin by overviewing survey studies that have directly investigated market participants’ experience and views on technical analysis. The survey literature ...