Financial Market Forecasting using Online Information: Research Stream Analysis based on Citation Network

Chaoqun Wang; Zhongyi Hu; Raymond Chiong; Ke Dong

Financial Market Forecasting using Online Information: Research Stream Analysis based on Citation Network

Chaoqun Wang, Zhongyi Hu, Raymond Chiong, Ke Dong

School of Science & Technology

Research output: Contribution to conference › Abstract

Abstract

Accurate financial market prediction is one of the most challenging tasks in financial market research. Recently, terabytes of digital information related to financial markets and individuals have been produced via online news platforms, forums, blogs, social media, and so on. Instead of focusing solely on developing sophisticated forecasting models based on technical analysis or/and fundamental analysis, researchers have moved their attention to making full use of the large amount of online information.

Original language	English
Pages	2782-2783
Publication status	Published - 2019
Event	ISSI 2019: 17th International Conference on Scientometrics and Informetrics - Sapienza University of Rome, Italy Duration: 2 Sept 2019 → 5 Sept 2019

Conference

Conference	ISSI 2019: 17th International Conference on Scientometrics and Informetrics
Country/Territory	Italy
City	Sapienza University of Rome
Period	2/09/19 → 5/09/19

Access to Document

https://hdl.handle.net/1959.11/61432

Handle.net

Persistent link

Cite this

@conference{588ed648e4db4a85a3e33196a8d9c2f1,

title = "Financial Market Forecasting using Online Information: Research Stream Analysis based on Citation Network",

abstract = "Accurate financial market prediction is one of the most challenging tasks in financial market research. Recently, terabytes of digital information related to financial markets and individuals have been produced via online news platforms, forums, blogs, social media, and so on. Instead of focusing solely on developing sophisticated forecasting models based on technical analysis or/and fundamental analysis, researchers have moved their attention to making full use of the large amount of online information.",

author = "Chaoqun Wang and Zhongyi Hu and Raymond Chiong and Ke Dong",

year = "2019",

language = "English",

pages = "2782--2783",

note = "ISSI 2019: 17th International Conference on Scientometrics and Informetrics ; Conference date: 02-09-2019 Through 05-09-2019",

}

TY - CONF

T1 - Financial Market Forecasting using Online Information

T2 - ISSI 2019: 17th International Conference on Scientometrics and Informetrics

AU - Wang, Chaoqun

AU - Hu, Zhongyi

AU - Chiong, Raymond

AU - Dong, Ke

PY - 2019

Y1 - 2019

N2 - Accurate financial market prediction is one of the most challenging tasks in financial market research. Recently, terabytes of digital information related to financial markets and individuals have been produced via online news platforms, forums, blogs, social media, and so on. Instead of focusing solely on developing sophisticated forecasting models based on technical analysis or/and fundamental analysis, researchers have moved their attention to making full use of the large amount of online information.

AB - Accurate financial market prediction is one of the most challenging tasks in financial market research. Recently, terabytes of digital information related to financial markets and individuals have been produced via online news platforms, forums, blogs, social media, and so on. Instead of focusing solely on developing sophisticated forecasting models based on technical analysis or/and fundamental analysis, researchers have moved their attention to making full use of the large amount of online information.

M3 - Abstract

SP - 2782

EP - 2783

Y2 - 2 September 2019 through 5 September 2019

ER -

Financial Market Forecasting using Online Information: Research Stream Analysis based on Citation Network

Abstract

Conference

Access to Document

Handle.net

Fingerprint

Cite this