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The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information...
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-linearity, and multiple seasonality or time-varying correlations. Our study indicates that the joint dual long-memory process can …
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This paper examines the use of machine learning methods in modeling and forecasting time series with long memory through GARMA. By employing rigorous model selection criteria through simulation study, we find that the hybrid GARMA-LSTM model outperforms traditional approaches in forecasting...
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reveal underlying trends and cycles. The nature of economic seasonal behavior is such that average seasonality, not actual … seasonality, is filtered from the data. First, the paper suggests adjustments of the inference accounts for the stochastic … seasonality. We formalize the issue and present a simple method to the informal inferential practice. Second, we provide a data …
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