This paper uses a simple model based on the board game Monopoly to analyze the drivers of house prices and wealth inequality. Simulations show that inequality generally builds up fast even if players have equal starting conditions and house prices are stable; rising house prices imply more...

This paper analyzes a large set of factors that potentially influence the price of gold using Bayesian Model Averaging and Ordinary Least Squares for comparison. We examine the evolution of the importance of factors through time, the role of the time horizon (daily versus monthly),...

This paper analyzes the long-run relationship between gold and silver prices. We closely follow Escribano and Granger (1998) and extend their study. We use a longer sample period from 1970-2011 and study the role of bubbles and financial crises for the relationship between gold and silver...

The increase in the price of gold between 2002 and 2011 appears to be a candidate for a potential asset price ‘bubble', suggesting that chartists (feedback traders) were highly active in the gold market during this period. Hence, this paper develops and tests empirically several models...

We propose to estimate the variance of a time series of financial returns through a quantile autoregressive model (QAR) and demonstrate that the return QAR model contains all information that is commonly captured in two separate equations for the mean and variance of a GARCH-type model. In...

This paper uses a theoretical model to analyse the dynamic relationship of virtual currency with fiat currency. The model demonstrates that the price impact of potential users and speculators in virtual currencies adversely affects their property as a medium of exchange and renders a crowding...

This paper uses a simple model based on the board game Monopoly to analyze the drivers of house prices and wealth inequality. Simulations show that the inequality depends on the timing and distribution of home ownership, house price growth and wage growth. An extension of the classical game with...