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In this study, we examine the forecastability of a specific neural network architecture called General Regression Neural Network (GRNN) and compare its performance with a variety of forecasting techniques, including Multi-Layered Feedforward Network (MLFN), multivariate transfer function, and...
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Emerging markets have grown rapidly over the past two decades, and sovereign and corporate borrowers are increasingly reliant on bond financing. Given widespread concern over what will happen to emerging market bonds as central banks in major advanced economies start to unwind quantitative...
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