Classic option pricing theory values a derivative contract via dynamic replication, and views the derivative as redundant relative to the replicating portfolio. In practice, while dynamic replication proves highly effective in drastically reducing the risk in derivative investments, the...

Financial markets are typically characterized by high (low) price level and low (high) volatility during boom (bust) periods, suggesting that price and volatility tend to move together with different market conditions/states. By proposing a simple heterogeneous agent model of fundamentalists and...

A specific day-trading policy in Taiwan futures market allows an investigation of the performance of day traders. Since October 2007, investors who characterize themselves as “day traders” by closing their day-trade positions on the same day enjoy a 50% reduction in the initial margin....

Trading stops are often used by traders to risk manage their positions. In this note, we show how to derive optimal trading stops for generic algorithmic trading strategies when the P&L of the position is modelled by a Markov modulated diffusion. Optimal stop levels are derived by maximising the...

This paper proposes computational framework for empirical estimation of Financial Agent-Based Models (FABMs) that does not rely upon restrictive theoretical assumptions. We customise a recent methodology of the Non-Parametric Simulated Maximum Likelihood Estimator (NPSMLE) based on kernel...

This paper contributes to the existing literature on sports-related market anomalies by examining whether losses by the New Zealand national rugby team (the All Blacks) affect stock market returns in New Zealand. The novelty of this paper is in its use of a probability model to control for the...

Recent empirical studies show that ESG sentiment, the attitude of investors toward a company’s ESG performance, is a major factor that affects stock performance. While investing in ESG could bring potential risk deduction benefits, changing ESG sentiments in the market will lead to additional...

We investigate the relationship between weather or seasonal affective disorder and the financial market, using a wide variety of financial market data as well as several weather variables and a seasonal affective disorder proxy. We distinguish between a model with a direct effect of the weather...

In this paper, we investigate the impact of market sentiment on cryptocurrency returns. To accomplish this, we use a novel dataset that captures a multitude of attitudes, moods, and emotions extracted from a vast amount of news and social media content. Our findings indicate that social media...

Traditional finance is built on the rationality paradigm. This chapter discusses simple models from an alternative approach in which financial markets are viewed as complex evolutionary systems. Agents are boundedly rational and base their investment decisions upon market forecasting heuristics....