This paper introduces an entropy approach to measuring market expectations with respect to overnight interest rates in an inter-bank money market. The findings for the Turkish 2000-2001 borrowing crisis suggest that a dynamic, non-extensive entropy framework provides a valuable insight into the degree of aggregate market concerns during the crisis.

This paper focuses on a nonlinear stochastic model for financial simulation and forecasting based on assumptions of multivariate stochastic correlation, with an application to the European market. We present in particular the key elements of a structured hierarchical econometric model that can be used to forecast financial and commodity markets relying on statistical and simulation methods. The...

Raising money in the online crowdfunding market is an important way for start-up enterprises to start their entrepreneurial projects. However, how to help creators design their projects in this market is still an open and very realistic issue. In this study, we collect a unique dataset from Kickstarter (a leading crowdfunding platform in the U.S.) to examine the impacts of reward scheme related...

Prediction markets serve as popular devices to aggregate beliefs and to assess market estimated probabilities. By looking at the interaction between realand play-money prediction markets, this paper shows that traded volume has a significant positive effect on the probability of realand play-money market cointegration. This indicates that the information aggregation process, eliminating individ...

We define continuous-time dynamics for exchange economies with fiat money. Traders have locally rational expectations, face a cash-in-advance constraint, and continuously adjust their short-run dominant strategy in a monetary strategic market game involving a double-auction with limit-price orders. Money has a positive value except on optimal rest-points where it becomes a “veil” and trade vani...