The stock market is an example of a stochastic environment in the real world. So, obtaining
accurate forecasting models of the stock market can be challenging due to its complex …

A financial marketplace where shares of companies with public listings are bought and sold
is called the stock market. It serves as a gauge of a nation's economic health by taking into …

The financial crisis of 2008 had far‐reaching effects on the world economy. Repercussions
of this event are seen today in the Indian economy. Fast forward to 2022, we are looking at …

This work addresses the intricate task of predicting the prices of diverse financial assets,
including stocks, indices, and cryptocurrencies, each exhibiting distinct characteristics and …

Return forecasting and portfolio selection have fascinated financial academics and
practitioners alike for a long time. With the wake of artificial neural networks, and as …

This paper applies ARIMA and the Greylag Goose Optimizer (GGO) algorithm, among
others, for pre-trending the stock market prediction. This study aims to improve stock price …

Predicting the trend of stock prices is a hard task due to numerous factors and prerequisites
that can affect price movement in a specific direction. Various strategies have been …

The complex interaction among economic variables, market forces, and investor psychology
presents a formidable obstacle to making accurate forecasts in the realm of finance …

Risk analysis and price predictions of securities, shares and stocks, have been a
challenging problem for investors. Many factors, Economic, Political etc., can disturb stock …

Der Einfluss ausgewählter ökonomischer Variablen auf die Leistung von LSTM-Modellen zur
Aktienkursprognose Page 1 Der Einfluss ausgewählter ökonomischer Variablen auf die Leistung …