A hybrid of long short-term memory neural network and autoregressive integrated moving average model in forecasting HIV incidence and morality of post-neonatal population in East Asia: global burden of diseases 2000-2019. [PDF]
BMC Public Health, 2022 Chen Y, He J, Wang M.
europepmc +1 more source
Long and Short Memory Conditional Heteroscedasticity in Estimating the Memory Parameter of Levels - (Now published in Econometric Theory, 15 (1999), pp.299-336.) [PDF]
Semiparametric estimates of long memory seem useful in the analysis of long financial time series because they are consistent under much broader conditions than parametric estimates.
Marc Henry, Peter M Robinson
core
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 +3 more
wiley +1 more source
COVID-19 prevalence forecasting using Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN): Case of Turkey. [PDF]
J Infect Public Health, 2021 Toğa G, Atalay B, Toksari MD.
europepmc +1 more source
Trends in Rheumatoid Arthritis Mortality Among Postmenopausal Women in the United States, 1999–2023
iMetaMed, EarlyView.RA‐related mortality among U.S. postmenopausal women has markedly declined since 1999. Despite this overall progress, significant inequalities by race, region, and age highlight ongoing challenges in achieving equitable health outcomes. ABSTRACT Rheumatoid arthritis (RA) disproportionately affects postmenopausal women, who are at an increased risk of ...
Yuhui Zhao +4 more
wiley +1 more source
International Studies of Economics, EarlyView.ABSTRACT This study examines the impact of climate policy uncertainty (CPU) on world energy stock returns. Evidence shows that a rise in CPU causes stocks to plummet in individual countries, regions, and the world energy stock markets. The negative effects are also exhibited in climate induced risks, the covariance between a change in CPU and equity ...
Thomas C. Chiang
wiley +1 more source
International Studies of Economics, EarlyView.ABSTRACT Communication with the market to guide public expectations has become a pivotal monetary policy instrument for central banks worldwide. Therefore, assessing the efficacy of communication in influencing personal expectations is essential for central banks.
Yuying Jin, Sunyao Xia
wiley +1 more source
Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions. [PDF]
BMC Med Res Methodol, 2021 Schaffer AL, Dobbins TA, Pearson SA.
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Can National ESG Inhibit the Impact of Extreme Climate on Global Financial Risks?
International Studies of Economics, EarlyView.ABSTRACT This study investigates the impact of extreme climate events on global systemic financial risk, utilizing a dataset of 32 representative economies from 2004 to 2019. By constructing a Climate Risk Index and a systemic financial risk index (RISK), our findings reveal that extreme climate change significantly exacerbates global systemic ...
Haonan Wang +3 more
wiley +1 more source