Efficient Method of Moments (EMM) is used to fit the standard stochastic volatility model and various extensions to several daily financial time series. EMM matches to the score of a model determined by data analysis called the score generator. Discrepancies reveal characteristics of data that...

This paper utilizes a statistical model of competing risk proportional hazards to study default and prepayment in unsecured personal loans. The model accounts for fixed interval sampling and unobserved borrower heterogeneity. A simulation experiment with four different baseline hazards and four...

This paper examines the argument that the fixed exchange rate regime should be preferred to the flexible rate regime because the former allows risk sharing across countries while the latter does not. The analysis is performed in a two-country overlapping generations model, where markets are...

This paper presents the results of a post-sample simulation of a speculative strategy using a portfolio of foreign currency forward contracts.The main new features of the speculative strategy are (a)the use of Kalman filters to update the forecasting equation, (b) the allowance for...

Chaos theory has touched on such fields as biology, cognitive science, and physics. By providing a unified and complete explanation of new statistical methods that are useful for testing for chaos in data sets, Brock, Hsieh, and LeBaron show how the principles of chaos theory can be applied to...

This paper demonstrates that when log price changes are not IID, their conditional density may be more accurate than their unconditional density for describing short-term behavior. Using the BDS test of independence and identical distribution, daily log price changes in four currency futures...