Soft computing techniques applied to finance

By Asunción Mochón, David Quintana, Yago Sáez, P. I. Viñuela. 2008

44 citations recorded by the source corpus.

Subfields: Accounting, Management Science and Operations Research, Ocean Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Antanas Verikas
2. Zivile Kalsyte
3. Marija Bacauskiene
4. A. Ozbayoglu
5. Adas Gelzinis
6. Omer Berat Sezer
7. M. Ugur Gudelek

In Management Science and Operations Research

1. M. Ugur Gudelek
2. Omer Berat Sezer
3. A. Ozbayoglu
4. Antanas Verikas
5. Zivile Kalsyte
6. Marija Bacauskiene
7. Adas Gelzinis
8. Weiwei Jiang

In Ocean Engineering

1. A. Ozbayoglu
2. Omer Berat Sezer
3. M. Ugur Gudelek

Citations in the corpus

• Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, methodology): “In [8], soft computing models for the market, forex prediction and trading systems were analyzed.”
• Deep Learning for Financial Applications : A Survey (2020, background): “[4] also provided insights about financial implementations based on soft computing techniques like fuzzy logic, probabilistic reasoning and NNs.”
• Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2010, background): “Mochon et al. (2008) discuss a rationale of using soft computing techniques in finance and present a short introduction into several application areas.”