Abstract In recent years, Prediction Markets gained growing interest as a forecasting tool
among researchers as well as practitioners, which resulted in an increasing number of …

This article offers a complete overview of the World Review of Entrepreneurship,
Management and Sustainable Development (WREMSD) from 2005 to 2015. The article …

Over the last couple of years, interest in prediction markets as a forecasting method has
continuously increased in the scientific world and in industry. Markets provide incentives for …

Accurate predictions are essential in many areas such as corporate decision making,
weather forecasting and technology forecasting. Prediction markets help to aggregate …

What drives intraday traders' sentiments in the stock markets: information or noise? This
paper argues that the market microstructure noise (MMN) manifests intraday traders' …

We introduce our work on the use of prediction markets as a tool for mining knowledge from
within an enterprise (ie, Nokia Corporation). Various companies–including Google, HP, and …

Non-linear time series prediction has been a challenging task and important area of
research in all branches of science and technology. Though several techniques are used for …

In this dissertation, I consider a range of topics related to the role played by information in
modern asset pricing theory. The primary research focus is twofold. First, I synthesize …

In this dissertation, we propose an online machine learning technique–named Artificial
Continuous Prediction Market (ACPM)–to predict the value of a continuous variable by (i) …

Fraud and manipulation in prediction markets are systematic results of incentive
incompatibility, which, if present, have to be detected and balanced."" Manipulations in …