Similar Search Results

A data mining approach to predict companies' financial distress

Tahmasebi, Rasoul; Rostamy, Ali Asghar Anvary; … - In: International journal of financial engineering 7 (2020) 3, pp. 1-13

Persistent link: https://www.econbiz.de/10012603179

Financial distress prediction of listed companies : empirical evidence on the Vietnamese stock market

Tran Quoc Thinh; Dang Anh Tuan; Nguyen Thanh Huy; Tran … - In: Investment management and financial innovations 17 (2020) 2, pp. 377-388

Persistent link: https://www.econbiz.de/10012303237

Using fundamental, market and macroeconomic variables to predict financial distress : a study of companies listed on the Johannesburg Stock Exchange

Sabela, Sibusiso W.; Brummer, Leon M.; Hall, John; … - In: Journal of economic and financial sciences : JEF 11 (2018) 1, pp. 1-11

Persistent link: https://www.econbiz.de/10012017398

Deep learning neural network for the prediction of Asian Tiger stock markets

Yap, Kok-Leong; Lau, Wee-Yeap; Izlin Ismail - In: International journal of financial engineering 8 (2021) 4, pp. 1-35

Persistent link: https://www.econbiz.de/10012815105

Application of artificial intelligence in stock market forecasting : a critique, review, and research agenda

Chopra, Ritika; Sharma, Gagan Deep - In: Journal of risk and financial management : JRFM 14 (2021) 11, pp. 1-34

The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. Artificial intelligence (AI) techniques can detect such non-linearity, resulting in much-improved forecast results. This paper reviews 148 studies utilizing...

Persistent link: https://www.econbiz.de/10012795264

Early prediction of Ibex 35 movements

García, I. Marta Miranda; Segovia-Vargas, María-Jesús; … - In: Journal of forecasting 42 (2023) 5, pp. 1150-1166

Persistent link: https://www.econbiz.de/10014338829

Thai stock news classification based on price changes and sentiments

Ponrudee Netisopakul; Woranun Saewong - In: International journal of electronic finance : IJEF 11 (2022) 1, pp. 49-66

Persistent link: https://www.econbiz.de/10012939852

Recent advances in stock market prediction using text mining : a survey

Alzazah, Faten Subhi; Cheng, Xiaochun - In: E-business - higher education and intelligence applications, (pp. 101-133). 2021

Persistent link: https://www.econbiz.de/10012605510

Trade sentiment and the stock market : new evidence based on big data textual analysis of Chinese media

Amstad, Marlene; Gambacorta, Leonardo; He, Chao; Xia, … - 2021

Persistent link: https://www.econbiz.de/10012483485

A random forests approach to predicting clean energy stock prices

Sadorsky, Perry A. - In: Journal of risk and financial management : JRFM 14 (2021) 2/48, pp. 1-20

Climate change, green consumers, energy security, fossil fuel divestment, and technological innovation are powerful forces shaping an increased interest towards investing in companies that specialize in clean energy. Well informed investors need reliable methods for predicting the stock prices...

Persistent link: https://www.econbiz.de/10012483492

1
2
3
4
5
6
7
8
9
10
Next
Last