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Spatial price comparisons rely to a high degree on the quality of the underlying price data that are collected within or across countries. Below the basic heading level, these price data often exhibit large gaps. Therefore,stochastic index number methods like the CPD method and the GEKS method...
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We establish simple analytical and numerical methods for propagating stochastic price processes backwards in time, step by step, to the initial value while satisfying all cross-sectional and serial requirements. This proves useful in dealing with complex path-dependent options with American...
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Recent empirical studies in Equity markets show evidence that, while asset log-returns are largely uncorrelated, it is possible to predict with some accuracy their future sign. Such prediction is made over a given forecast horizon based solely on the observed sign of the cumulative log-return...
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This paper develops the approximate bias of the ordinary least squares estimator of the mean reversion parameter in … whether the initial condition is fixed or random. The approximate bias is used to construct a bias corrected estimator. The … performance of the approximate bias and the bias corrected estimator is examined using simulated data …
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