Results 171 to 180 of about 73,625 (339)

Use of the Autoregressive Integrated Moving Average (ARIMA) Model to Forecast Near-Term Regional Temperature and Precipitation [PDF]

, 2020
Yuchuan Lai, David A. Dzombak
openalex   +1 more source

The Impact of Changes in Real Income and the Real Effective Exchange Rate on Trade in Goods and Services

International Journal of Finance &Economics, EarlyView.
ABSTRACT We use foreign trade data on both imports and exports of goods and services among a group of 15 advanced economies to determine the incomes and price elasticities of demand for exports and imports of goods, services and goods and services combined in the long run.
Tjeerd M. Boonman, Ioannis Litsios, Keith Pilbeam   +2 more
wiley   +1 more source

Using autoregressive integrated moving average models in the analysis and forecasting of mobile network traffic data [PDF]

, 2019
Francis Kwabena Oduro-Gyimah
openalex   +1 more source

Forecasting GDP of Nepal using Autoregressive Integrated Moving Average (ARIMA) Model

, 2023
Hari Prasad Upadhyay, Bijay Lal Pradhan
openalex   +2 more sources

The Impact of the 2016 EU Audit Reforms, Oversight, and Corruption on Earnings Management: Evidence From European Banks Using a Dynamic Panel Approach

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study investigates earnings management in European banks in the context of the 2016 EU audit directive. Using a dynamic panel of 134 banks over 2012–2023, we apply two‐step System‐GMM estimators with three profitability measures—Earnings Before Provisions and Taxes (EBPT), Return on Assets (ROA), and Return on Equity (ROE).
Maria Christofidou, Epameinondas Katsikas, Dimitrios Koufopoulos, Konstantinos Spanos   +3 more
wiley   +1 more source

Prediction of congenital heart disease for newborns: comparative analysis of Holt-Winters exponential smoothing and autoregressive integrated moving average models. [PDF]

BMC Med Res Methodol, 2022
Xu W, Shao Z, Lou H, Qi J, Zhu J, Li D, Shu Q.   +6 more
europepmc   +1 more source

Forecasting Inflation in Developing Nations: The Case of Pakistan [PDF]

This study attempts to outline the practical steps which need to be undertaken to use autoregressive integrated moving average (ARIMA) time series models for forecasting Pakistan’s inflation. A framework for ARIMA forecasting is drawn up. On the basis of
Feridun, Mete
core   +1 more source

Interplay Between Green Investment and Market Price Premia in Global Shipping

International Journal of Finance &Economics, EarlyView.
ABSTRACT Existing research emphasises that the driver of green investment is its future profitability. This paper shows that other investors' decisions also influence green investment. We take the example of scrubber installation in shipping, which is optional by regulation but has an established market for trading its underlying asset.
Yao Shi, Nikos C. Papapostolou, Malvina Marchese, Ioannis C. Moutzouris, Angelos Efstathiou   +4 more
wiley   +1 more source

Talent Cultivation of New Ventures by Seasonal Autoregressive Integrated Moving Average Back Propagation Under Deep Learning. [PDF]

Front Psychol, 2022
Han F, Zhang C, Zhu D, Zhang F.
europepmc   +1 more source

Penerapan Autoregressive Integrated Moving Average untuk Prediksi Inflasi Kabupaten Jember

Jurnal Riset Statistika
Abstract. Inflation is an economic phenomenon that causes a general and sustained increase in the prices of goods and services. One of the factors influencing inflation is the amount of money circulating in the economy. This study aims to forecast the inflation rate in Jember Regency using the Autoregressive Integrated Moving Average (ARIMA) model. The
null Niken Abellia, null Marizsa Herlina
openaire   +1 more source