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Forecasting Financial Valuation Comparing ARIMA and Prophet
, 2022 In this study, we limit the forecasting period to one year since the same method is applicable to more than one year. The reason for that is the only five-year historic data we have for Discount Cash Flow (DCF) and six years for Price Earning (P/E) and ...
Tchoudi, William, Sergeenko, Grigory
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Association between moral distress and job satisfaction of Japanese psychiatric nurses
Asian/Pacific Island Nursing Journal, 2016 Moral distress of psychiatric nurses may affect their job satisfaction or quality of nursing care, thus examination of their moral distress is a significant issue for practice.
Michiyo Ando, Masashi Kawano
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An improved wavelet-ARIMA approach for forecasting metal prices [PDF]
, 2014 Metal price forecasts support estimates of future profits from metal exploration and mining and inform purchasing, selling and other day-to-day activities in the metals industry.
Angus, Andrew +3 more
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The Sectoral Impact of the Rice Tariffication Law on Filipino Rice Supply: A Time-Series Analysis
Recoletos Multidisciplinary Research Journal, 2023 The Rice Tariffication Law was implemented in March 2019 to address rice shortage by replacing quantitative restrictions with import tariffs. Prior studies have evaluated its various impacts, but no study has analyzed post-RTL seasonal rice supply data ...
Aaron Benjmin Alcuitas +1 more
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Combined Approximate Entropy Model and ANNs to Predict Inflow at Gorganrood River [PDF]
مهندسی عمران شریف, 2022 Prediction of river inflow along with other parameters such as sediment load, flood magnitude, and so on plays an important role in Water Resources Management planning and reservoir operation program.
M. Zanganeh, A.R. Chaji
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Peramalan Data Cuaca Ekstrim Indonesia Menggunakan Model ARIMA dan Recurrent Neural Network
Jambura Journal of Mathematics, 2023 Extreme weather modeling is a challenge for modeling experts in Indonesia and the world. Extreme weather prediction is a complex problem because the chances of it happening are very small, so the developed models often have a low level of accuracy.
Hikmah Hikmah +3 more
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Modelling Petroleum Prices in Tanzania: A Comparative Analysis between ARIMA and Holt’s Method [PDF]
International Journal of Management, Accounting and Economics, 2023 Petroleum is one of the vital sources of energy for economic activities and the most traded commodity worldwide. It is crucial to industry and civilization and as it meets a substantial portion of the world's energy requirements, it has a big impact on ...
Laban Gasper, George Abrahamu
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Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH Model [PDF]
Statistika: Statistics and Economy Journal, 2023 The achievement of profits when trading on the stock markets is conditioned by a quality analytical forecast of the development of stock prices in the coming period.
Alžběta Zíková, Jitka Veselá
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Prediction of Fruit Production in India: An Econometric Approach
Journal of Horticultural Research, 2023 Forecasting is valuable to countries because it enables them to make informed business decisions and develop data-driven strategies. Fruit production offers promising economic opportunities to reduce rural poverty and unemployment in developing countries
Ray Soumik +8 more
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Journal of Banking and Financial Economics, 2023 The proper forecasting of listed companies’ earnings is crucial for their appropriate pricing. This paper compares forecast errors of different univariate time-series models applied for the earnings per share (EPS) data for Polish companies from the ...
Wojciech Kuryłek
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