Stock price modeling and prediction have been challenging objectives for researchers and
speculators because of noisy and non-stationary characteristics of samples. With the growth …

In recent years, many works spring out to adopt the forecast-based approach to support the
investment decision in the financial market. Nevertheless, most of them do not consider …

This paper explores the finance–growth nexus in 14 countries from Central, Eastern and
South-eastern Europe (CESEE) over the 1995–2015 period. It investigates whether …

This work proposes a supervised multi-channel time-series learning framework for financial
stock trading. Although many deep learning models have recently been proposed in this …

This paper studies the connection between the stock market and real output in China and
compares it with benchmark countries, employing a novel vector autoregression with …

The paper discusses the links between stock market performance and real economic activity
and presents results of an empirical inquiry into dynamic relationships between the main …