Search Results - subject:"Arima"

Improved tourism demand forecasting with CIR# model : a case study of disrupted data patterns in Italy

Bufalo, Michele; Orlando, Giuseppe - In: Tourism review 79 (2024) 2, pp. 445-464

Persistent link: https://www.econbiz.de/10014512279

Predicting the unemployment rate using autoregressive integrated moving average

Huruta, Andrian Dolfriandra - In: Cogent business & management 11 (2024) 1, pp. 1-21

. Using non-seasonal ARIMA (Autoregressive Integrated Moving Average) modeling, this study projected unemployment. It was … quite accurate. It indicates that the ARIMA model has a good forecasting capability. According to the dynamic method …’s unemployment rate following the demographic dividend. As a result, an Autoregressive Integrated Moving Average (ARIMA) was …

Persistent link: https://www.econbiz.de/10014540210

Singular spectrum analysis (SSA) based hybrid models for emergency ambulance demand (EAD) time series forecasting

Wang, Jing; Peng, Xuhong; Wu, Jindong; Ding, Youde; … - In: IMA journal of management mathematics 35 (2024) 1, pp. 45-64

Persistent link: https://www.econbiz.de/10014526094

Combining counterfactual outcomes and ARIMA models for policy evaluation

Menchetti, Fiammetta; Cipollini, Fabrizio; Mealli, Fabrizia - In: The econometrics journal 26 (2023) 1, pp. 1-24

Persistent link: https://www.econbiz.de/10013543270

The modeling of earnings per share of Polish companies for the post-financial crisis period using random walk and ARIMA models

Kuryłek, Wojciech - In: Journal of banking and financial economics 19 (2023) 1, pp. 26-43

naive seasonal random walk model, whereas in the US the most adequate models are of a more sophisticated ARIMA type …

Persistent link: https://www.econbiz.de/10014285928

Forecasting volatility by using wavelet transform, ARIMA and GARCH models

Rubio, Lihki; Palacio Pinedo, Adriana; Mejía Castaño, … - In: Eurasian economic review : a journal in applied … 13 (2023) 3/4, pp. 803-830

Persistent link: https://www.econbiz.de/10014452054

Forecasting banknote circulation during the Covid-19 pandemic using structural time series models

Bartzsch, Nikolaus; Brandi, Marco; Devigne, Lucas; … - 2023

Persistent link: https://www.econbiz.de/10014391233

Comparative performance of LSTM and ARIMA for the short-term prediction of Bitcoin prices

Latif, Navmeen; Selvam, Joseph Durai; Kapse, Manohar; … - In: Australasian accounting business and finance journal : AABF 17 (2023) 1, pp. 256-276

Persistent link: https://www.econbiz.de/10014258988

Forecasting lending interest rate and deposit interest rate of bangladesh using the autoregressive integrated moving average model

Jilhajj, Khondokar - In: International journal of economics and financial issues … 13 (2023) 3, pp. 169-177

Persistent link: https://www.econbiz.de/10014288663

Forecasting banknote circulation during the COVID-19 pandemic using structural time series models

Bartzsch, Nikolaus; Brandi, Marco; Pastor, Raymond de; … - 2023

As part of the Eurosystem’s annual banknote production planning, the national central banks draw up forecasts estimating the volumes of national-issued banknotes in circulation for the three years ahead. As at the end of 2021, more than 80 per cent of euro banknotes in circulation (cumulated...

Persistent link: https://www.econbiz.de/10014320825

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