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We propose a regression-based algorithm that allows to construct arbitrarily many comparable, multi-annual, consistent time series on monthly, weekly, daily, hourly and minute-by-minute search volume indices based on the scattered data obtained from Google Trends. The accuracy of the algorithm...
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This paper conducts a USDTRY rate forecast by ARIMA method using 3,069 daily observations between the dates of 3 … forecast using ARIMA method generate static models, and none of them conduct multi-step prediction or out of sample fit. The …
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This paper analyzes the role of uncertainty on both exchange rate expectations and forecast errors of professionals for … Bayesian VAR approach, we observe that effects on forecast errors of professionals turn out to be more significant compared to …
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