As the rate of information availability increases, the ability to use web-based technology to improve forecasting becomes increasingly important. We examine Virtual Globe technology and show how the arrival of unprecedented types of web-based information enhances the ability to forecast and can lead to significant, measurable economic benefits. Specifically, we use market prices in a betting market over an eighteen-year period to examine how new elevation data from Virtual Globes (VG) enabled improved forecasting decisions and we explore how this information diffused through the betting market. The results demonstrate how short-lived, profitable opportunities arise from the arrival of novel information, and the speed at which markets adapt ...
This report explores using web based information, together with big data in macroeconomic forecastin...
We analyze the extent to which simple markets can be used to aggregate dispersed information into ef...
Commodity prices are volatile. Forecasting the volatility has been notoriously difficult. We propose...
This thesis, which is divided into three papers, explores the use of web-based information in financ...
Predicting the future is a tricky business. In hindsight, books that list expert predictions prove t...
According to financial theory, open markets efficiently and effectively aggregate all available info...
Macroeconomic forecasts are used extensively in industry and government even though the historical a...
In this paper we propose a novel model for forecasting in-novation success based on online virtual s...
Prediction markets are online trading platforms where contracts on future events are traded with pay...
Prediction markets are online trading platforms where contracts on future events are traded with pay...
The new digital revolution of big data is deeply changing our capability of understanding society an...
The new digital revolution of big data is deeply changing our capability of understanding society an...
The new digital revolution of big data is deeply changing our capability of understanding society an...
The methods used by organisations to forecast the future have changed very little over the last sixt...
Due to the availability of big datasets, the digital revolution is profoundly changing our capabili...
This report explores using web based information, together with big data in macroeconomic forecastin...
We analyze the extent to which simple markets can be used to aggregate dispersed information into ef...
Commodity prices are volatile. Forecasting the volatility has been notoriously difficult. We propose...
This thesis, which is divided into three papers, explores the use of web-based information in financ...
Predicting the future is a tricky business. In hindsight, books that list expert predictions prove t...
According to financial theory, open markets efficiently and effectively aggregate all available info...
Macroeconomic forecasts are used extensively in industry and government even though the historical a...
In this paper we propose a novel model for forecasting in-novation success based on online virtual s...
Prediction markets are online trading platforms where contracts on future events are traded with pay...
Prediction markets are online trading platforms where contracts on future events are traded with pay...
The new digital revolution of big data is deeply changing our capability of understanding society an...
The new digital revolution of big data is deeply changing our capability of understanding society an...
The new digital revolution of big data is deeply changing our capability of understanding society an...
The methods used by organisations to forecast the future have changed very little over the last sixt...
Due to the availability of big datasets, the digital revolution is profoundly changing our capabili...
This report explores using web based information, together with big data in macroeconomic forecastin...
We analyze the extent to which simple markets can be used to aggregate dispersed information into ef...
Commodity prices are volatile. Forecasting the volatility has been notoriously difficult. We propose...