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1

... to stock price crash risk\' potential drivers. This dissertation comprises two related but different essays...

Essays on stock price crash risk

Publicado em 2023
Tese

2

... Reporting Standards (IFRS) has affected the synchronicity of stock prices in the Brazilian capital market...

IFRS adoption, stock price synchronicity and volatility

Publicado em 2015
Dissertação

3

... a long short-term memory Network (LSTM), to forecast stock prices. As input data 59 different variables...

Using deep learning in stock price forecasting

Publicado em 2019
Dissertação

5

... framework that aims to predict the changes of stock prices along the day, given the occurrence of news...

Stock price change prediction using news text mining

Publicado em 2017
Tese

6

...Stock price forecasting is an inherently difficult problem. According to the efficient market...

StockNet: A Multivariate Deep Neural Architecture for stock prices prediction

Publicado em 2019
Dissertação