Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices
Predicting agricultural commodity prices accurately is of utmost importance due to various
factors such as perishability, seasonality, production uncertainty etc. Moreover, the …
factors such as perishability, seasonality, production uncertainty etc. Moreover, the …
Combining machine learning classifiers for stock trading with effective feature extraction
The unpredictability and volatility of the stock market render it challenging to make a
substantial profit using any generalised scheme. Many previous studies tried different …
substantial profit using any generalised scheme. Many previous studies tried different …
AURORA: an autonomous agent-oriented hybrid trading service
Stock markets play an essential role in the economy and offer companies opportunities to
grow, and insightful investors to make profits. Many tools and techniques have been …
grow, and insightful investors to make profits. Many tools and techniques have been …
Study of machine learning algorithms for potential stock trading strategy frameworks
A Agarwal - International Journal of Financial, Accounting, and …, 2021 - goodwoodpub.com
Purpose: This paper discusses major stock market trends and provides information on stock
market forecasting. Stock market forecasting is essentially an attempt to forecast the future …
market forecasting. Stock market forecasting is essentially an attempt to forecast the future …
Predicting diabetes using Cohen's Kappa blending ensemble learning
IK Nti, O Nyarko-Boateng, AF Adekoya… - International …, 2023 - inderscienceonline.com
Diabetes is a well-known risk factor for early mortality and disability. As signatories to the
2030 Agenda for Sustainable Development, Member States set an ambitious objective of a …
2030 Agenda for Sustainable Development, Member States set an ambitious objective of a …
Enhancing flood prediction using ensemble and deep learning techniques
Though flooding is seen as a common environmental threat globally, it has dramatically
increased recently due to climate change, impacting underdeveloped and developing …
increased recently due to climate change, impacting underdeveloped and developing …
Forecasting ESG Stock Indices Using a Machine Learning Approach
E Suprihadi, N Danila - Global Business Review, 2024 - journals.sagepub.com
As the demand for investment products tied to environmental, social and governance (ESG)
concerns rises, ESG stock indices have been established. These indices aim to aid investors …
concerns rises, ESG stock indices have been established. These indices aim to aid investors …
Pay piyasası getirilerini etkileyen makroekonomik faktörler: Avrasya ülkeleri borsa endeksleri üzerine bir analiz
Pay senetleri önemli yatırım araçlarıdır. Aynı zamanda ülke ekonomileri için bir gösterge
olarak kabul edilirler. Pay senedi getirileri ile makroekonomik değişkenler arasındaki …
olarak kabul edilirler. Pay senedi getirileri ile makroekonomik değişkenler arasındaki …
Indonesian Stock Market Reaction: Effects of Uncertainty Policy Shocks in the United States and China
R Oktavian, AS Prasetyo - Jurnal Ekonomi Pembangunan, 2023 - jep.ejournal.unsri.ac.id
The purpose of this study is to examine and analyze the effect of economic policy uncertainty
US and China on the Indonesian stock market. The data uses time series, from January …
US and China on the Indonesian stock market. The data uses time series, from January …
[PDF][PDF] The Effect of Macroeconomic Variables on Stock Exchange Market Performance: Iraq Stock Exchange Market as an Example
BN Majeed - Journal of Kurdistani for Strategic Studies, 2022 - researchgate.net
Abstract e purpose of this study is to examine the impact of monthly time series data of
macroeconomic variables from January 2005 to October 2021 on Iraqi's stock market …
macroeconomic variables from January 2005 to October 2021 on Iraqi's stock market …