This research aims to investigate, through simulation models, how the interaction among agents in an artificial stock market can affect the dynamics of asset prices. Thus, the study follows a different methodology for the analysis of prices by exploring the simulation of agents' behavior in an...

This paper proposes a methodology to anticipate market risk using qualitative and quantitative variables that capture communicative and financial activity within equity networks. During periods of crisis as market risk increases, companies tend to behave alike, and the number of news and common...

This study explores an innovative approach to portfolio optimization, bridging traditional Modern Portfolio Theory (MPT) with advanced Machine Learning techniques. We start by recognizing the significance of Markowitz's model in MPT and quickly proceed to focus on the Hierarchical Risk Parity...

Forecasts of stock market volatility is an important input for market participants in measuring and managing investment risks. Thus, understanding the most appropriate methods to generate accurate is key. This paper examines the ability of Machine Learning methods, and specifically Artificial...

This paper extends the economic growth model tested by Levine and Zervos (1998) by including a measure for capital allocation efficiency proxied by stock price informativeness. Using a sample of 59 countries, this study finds that stock price informativeness as measured by firm-specific return...

The influence of Subprime Crisis on Chinese stock market returns is investigated in this paper. By means of newly proposed time series spatial analysis methodology, we analyze the dominance behavior of daily returns on both Shanghai Stock Exchange Composite Index and Shenzhen Stock Exchange...

In this paper, we empirically analyze the effect of the credit crisis of 2008 by adopting coexceedance as a contagion measure. We assess the effect of news of governmental intervention and the collapse of firms during the period from 2007 to 2009 on the coexceedance. Our approach involves...

This paper extends the output growth model tested by Levine and Zervos (1998) by including a channel for capital allocation efficiency proxied by stock price informativeness. Using a sample of 59 countries, this study finds that stock price informativeness as measured by firm-specific return...

This paper extends the output growth model tested by Levine and Zervos (1998) by including a channel for capital allocation efficiency proxied by stock price informativeness. Using a sample of 59 countries, this study finds that stock price informativeness as measured by firm-specific return...

We find that exogenous structural shocks caused by terrorist attacks, wars, political turmoil and gold market specific events have a strong role to play in the analysis of dynamic relationships between gold and stock market returns. Our main finding is that the interaction between the gold...