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dynamic factor analysis. Design/methodology/approach: This article collects monthly data on the equity risk premium on the … statistically and economically significant in-sample predictability for the future equity risk premium for the KOSPI, as strongly as … deliver better forecasts of the future equity risk premium. Research limitations/implications: There exist different …
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Using state-of-the-art recurrent neural network architectures, this study attempts to predict credit default swap risk …
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We use a vector error correction model to study the long-term relationship between aggregate expected default frequency and the macroeconomic development, i.e. CPI, industry production and short-term interest rate. The model is used to forecast the median expected default frequency of the...
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using dynamic factors from a large panel of selected macroeconomic and financial data as well as common unobserved risk …
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