Evaluating the predictability power of machine learning and deep learning models for multi-frequency time series /
Khan, Inzamam.
Evaluating the predictability power of machine learning and deep learning models for multi-frequency time series / [Thesis or Dissertation] Inzamam Khan. - Islamabad : COMSATS University Islamabad, 2021. - ix, 114 pages : illustrations ; 30 cm + 1 CD-ROM (4 3/4 in.)
Thesis
Ashfaq Ahmad, Dr. External Examiner: AP, Hailey College of Commerce, PU, Lahore.
Wajid Shakeel Ahmed, Dr. Supervisor, AP, Management Sciences.
Machine learning--Deep learning--Time series.
Machine learning--Deep learning, Forex market--Financial time series.
Management Sciences--Finance
658 / KHA-E
Evaluating the predictability power of machine learning and deep learning models for multi-frequency time series / [Thesis or Dissertation] Inzamam Khan. - Islamabad : COMSATS University Islamabad, 2021. - ix, 114 pages : illustrations ; 30 cm + 1 CD-ROM (4 3/4 in.)
Thesis
Ashfaq Ahmad, Dr. External Examiner: AP, Hailey College of Commerce, PU, Lahore.
Wajid Shakeel Ahmed, Dr. Supervisor, AP, Management Sciences.
Machine learning--Deep learning--Time series.
Machine learning--Deep learning, Forex market--Financial time series.
Management Sciences--Finance
658 / KHA-E