Deep learning, a pivotal branch of artificial intelligence, has increasingly influenced the
financial domain with its advanced data processing capabilities. This paper introduces …

The stock index summarizes the overall movement of a group of stocks, typically calculated
as a weighted average of constituent stock prices. Stock Index Prediction (SIP) aids …

This study investigates the predictive efficiency of various forecasting models for renewable
energy asset prices, using oil price and investor sentiment. For renewable energy assets …

The paradigm shift from conventional stock market trading rings to computer-driven
algorithmic trading has given rise to a new era characterized by specialized trading systems …

Finance provides a major contribution to countries economic growth. A deep understanding
of the financial market helps to offer better financial returns in the future. The financial market …

Dynamic portfolio optimization has significantly benefited from a wider adoption of deep
learning (DL). While existing research has focused on how DL can applied to solving the …

Forming quantitative portfolios using statistical risk models presents a significant challenge
for hedge funds and portfolio managers. This research investigates three distinct statistical …

Generally, financial investments are necessary for portfolio management. However, the
prediction of a portfolio becomes complicated in several processing techniques which may …

Forecasting financial markets is one of the most challenging problems in finance, due to the
inherently non-stationary market behavior and the influence of numerous factors, including …

In the current financial markets, where portfolio optimization remains a significant challenge,
the dynamic changes in market conditions and investment demands render the …