BIST Corporate Governance Index Price Prediction With a Facebook Prophet Analysis Method
Author
Abstract
Suggested Citation
DOI: https://doi.org/10.33203/mfy.1081901
Download full text from publisher
References listed on IDEAS
- Joey Wenling Yang & Jerry Parwada, 2012. "Predicting stock price movements: an ordered probit analysis on the Australian Securities Exchange," Quantitative Finance, Taylor & Francis Journals, vol. 12(5), pages 791-804, October.
- Fábio Frezatti, 2007. "The “economic paradigm” in management accounting: Return on equity and the use of various management accounting artifacts in a Brazilian context," Managerial Auditing Journal, Emerald Group Publishing, vol. 22(5), pages 514-532, May.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Dimitrakopoulos, Stefanos & Tsionas, Mike, 2019. "Ordinal-response GARCH models for transaction data: A forecasting exercise," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1273-1287.
- Dimitrakopoulos, Stefanos & Dey, Dipak K., 2017. "Discrete-response state space models with conditional heteroscedasticity: An application to forecasting the federal funds rate target," Economics Letters, Elsevier, vol. 154(C), pages 20-23.
- Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos & Verousis, Thanos, 2020. "A conditional fuzzy inference approach in forecasting," European Journal of Operational Research, Elsevier, vol. 283(1), pages 196-216.
- Liu, Keyan & Zhou, Jianan & Dong, Dayong, 2021. "Improving stock price prediction using the long short-term memory model combined with online social networks," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
- Dimitrakopoulos, Stefanos & Tsionas, Mike G. & Aknouche, Abdelhakim, 2020. "Ordinal-response models for irregularly spaced transactions: A forecasting exercise," MPRA Paper 103250, University Library of Munich, Germany, revised 01 Oct 2020.
- Rasika Yatigammana & Shelton Peiris & Richard Gerlach & David Edmund Allen, 2018. "Modelling and Forecasting Stock Price Movements with Serially Dependent Determinants," Risks, MDPI, vol. 6(2), pages 1-22, May.
More about this item
Keywords
Corporate Governance; Facebook Prophet Analysis; Price Forecasting;All these keywords.
JEL classification:
- G1 - Financial Economics - - General Financial Markets
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:acc:malfin:v:37:y:2022:i:117:p:215-232. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Süleyman Kale (email available below). General contact details of provider: https://dergipark.org.tr/en/pub/mfy .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.