Portfolio Optimization for Pension Purposes: Literature Review
ABSTRACT This systematic review identifies persistent challenges and gaps in the literature on pension portfolio optimization models. We searched, selected, and critically analyzed 82 articles from three major academic databases published over the past decade to investigate the barriers to the effective implementation of these models.
Leonardo Moreira +2 more
wiley +1 more source
This study reveals that the long non‐coding RNA DANCR drives pathological retinal neovascularization in oxygen‐induced retinopathy via an ANXA2‐dependent p38/MAPK/mTOR autophagy pathway. In hypoxic endothelial cells and a murine OIR model, DANCR promotes angiogenesis.
Yini Wang, Jiale Bai, Shihong Zhao
wiley +1 more source
Comparing COVID-19 Case Prediction Between ARIMA Model and Compartment Model - China, December 2019-April 2020. [PDF]
Qi B, Liu N, Yu S, Tan F.
europepmc +1 more source
ARIMA processes for EEG modeling
[en] The main goal of this work is to find a suitable model for EEGs. This model has to be appropriate for the performing of classification of subjects based on the level of social pressure, and has to preserve time variability.
openaire +1 more source
ARIMA Model Time Series Forecasting
Abstract: Time series forecasting is a critical component in various fields such as finance, economics, meteorology, and engineering. Among the multitude of methods available for time series forecasting, the Autoregressive Integrated Moving Average (ARIMA) model stands out for its simplicity and effectiveness. This paper provides a comprehensive review
openaire +1 more source
ARIMA model forecasting analysis of the prices of multiple vegetables under the impact of the COVID-19. [PDF]
Mao L, Huang Y, Zhang X, Li S, Huang X.
europepmc +1 more source
Forecasting Carbon Dioxide Emissions Of Bahrain Using Singular Spectrum Analysis And ARIMA Hybrid Model [PDF]
zahrah althobaiti
openalex +1 more source
Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tianjin, China. [PDF]
Lou HR, Wang X, Gao Y, Zeng Q.
europepmc +1 more source
Forecasting of Beijing PM2.5 with a hybrid ARIMA model based on integrated AIC and improved GS fixed-order methods and seasonal decomposition. [PDF]
Zhao L, Li Z, Qu L.
europepmc +1 more source

