Machine learning in economics and finance

P Gogas, T Papadimitriou - Computational Economics, 2021 - Springer
The term Machine Learning (ML) was introduced by Arthur Samuel while working for IBM in
1959, mainly to describe the pattern recognition tasks that delivered the “learning” …

A novel hybrid model combining βSARMA and LSTM for time series forecasting

B Kumar, N Yadav - Applied Soft Computing, 2023 - Elsevier
Time series forecasting is an important and active research area due to the significance of
prediction and decision-making in several applications. Most commonly used models for …

An ensemble neural network approach to forecast Dengue outbreak based on climatic condition

M Panja, T Chakraborty, SS Nadim, I Ghosh… - Chaos, Solitons & …, 2023 - Elsevier
Dengue fever is a virulent disease spreading over 100 tropical and subtropical countries in
Africa, the Americas, and Asia. This arboviral disease affects around 400 million people …

[PDF][PDF] COVID-19 pandemic and unemployment rate: A hybrid unemployment rate prediction approach for developed and developing countries of Asia

H Lai, YA Khan, A Thaljaoui, W Chammam… - Soft …, 2021 - researchgate.net
Unemployment remains a serious issue for both developed and developing countries and a
driving force to lose their monetary and financial impact. The estimation of the …

COVID-19 pandemic and unemployment rate prediction for developing countries of Asia: A hybrid approach

L Shi, YA Khan, MW Tian - PloS one, 2022 - journals.plos.org
Unemployment is an essential problem for developing countries, which has a direct and
major role in economy of a country. Understanding the pattrens of unemployment rate is …

Estimation of the unemployment rate in Turkey: A comparison of the ARIMA and machine learning models including Covid-19 pandemic periods

DS Yamacli, S Yamacli - Heliyon, 2023 - cell.com
The article focuses on analyzing the robustness of Auto Regressive Integrated Moving
Average (ARIMA) and Artificial Neural Networks (ANN) methods in unemployment rate …

[HTML][HTML] Forecasting CPI inflation under economic policy and geopolitical uncertainties

S Sengupta, T Chakraborty, SK Singh - International Journal of Forecasting, 2024 - Elsevier
Forecasting consumer price index (CPI) inflation is of paramount importance for both
academics and policymakers at central banks. This study introduces the filtered ensemble …

Socioeconomic effects of COVID-19 pandemic: Exploring uncertainty in the forecast of the Romanian unemployment rate for the period 2020–2023

AAM Davidescu, SA Apostu, LA Stoica - Sustainability, 2021 - mdpi.com
During the health crisis, it is vital to protect not only the critical sectors of the economy, the
assets, technology, and infrastructure, but first and foremost, it is fundamental to protect jobs …

Technology Entrepreneurship Intention among Higher Education Institutions Students: A Literature Review

LN Abd Rahim, NAZ Ramlee… - Information …, 2023 - ojs.amhinternational.com
Technology entrepreneurship is a new breed of entrepreneurship in a technology context,
where it merges technology prowess and entrepreneurial skills. The intention to become …

Unemployment in rural Europe: A machine learning perspective

MG Celbiş - Applied Spatial Analysis and Policy, 2023 - Springer
This paper aims to provide policy-relevant findings that can contribute to the resilience of
rural regions by discovering the main individual-level factors related to unemployment in …