This paper develops analytical methods to forecast the distribution of future returns for a new continuous-time process, the Poisson multi-fractal. The process captures the thick tails, volatility persistence and moment scaling exhibited by many financial time series. It can be interpreted as a...

We suggest that the real exchange rate between the major currencies in the post-Bretton Woods period can be described by a stationary, two state Markov switching AR(1) model. Based on the forecast performance, both in-sample and out-of-sample, we find that this model out-performs two competing...

In this paper we examine the forecasting performance of five nonlinear GARCH(1,1) models. Four of these have recently been proposed in literature, while the fifth model is a new one. All five models allow for switching persistence of shocks, depending on the value and/or sign of recent returns....

In early 2009, the incoming Obama administration’s Council of Economic Advisers predicted real GDP would rebound strongly from recession levels. In a blog post, Greg Mankiw expressed skepticism. In their blogs, Brad DeLong and Paul Krugman sighed. Of course there would be strong growth, they...

Technological developments and the global economic crisis are two types of developments that have affected the commercial airline industry in the last decade. This paper investigates time series analysis of the airline industry. The research has been conducted and is being presented, in a number...

In a previous article for Econ Journal Watch, I attributed to Paul Krugman a concurrence with the optimistic economic forecast put forward in early 2009 by the incoming Administration. Krugman reacted by denying that he had concurred with that forecast, pointing to a blog entry of his from...

We introduce a class of nonlinear dynamic processes, called compound au- toregressive (CAR), and characterized by the conditional log-Laplace trans- forms which are aÆne functions of the lagged values of the process. The CAR processes resemble the linear autoregressive processes in that their...