We study the estimation of volatility using the Fractional Brownian Motion (FBM) to model asset returns. Then, we price some European options using a Black-Scholes type formula derived for the FBM market model

In this article, we combine machine learning techniques with statistical moments of the gasoline price distribution. By doing so, we aim to detect and predict cartels in the Brazilian retail market. In addition to the traditional variance screen, we evaluate how the standard deviation,...

This paper presents empirical evidence of short and long-run predictability in stock returns for European transition economies. We employ Variance Ratios with a bootstrap methodology to test for short-run predictability, which is present in most countries. We also estimate Hurst exponents to...

Prediction Markets (PMs) are markets in which agents trade event contingent assets. Enterprises use PMs to forecast revenues and project deadlines. This paper presents an Agent-based model, called Logarithmic Market Scoring Rule-Automated Market Maker (LMSR-ASM), to evaluate Prediction Markets....