000			01337nam a2200229Ia 4500
008			240830s9999||||xx |||||||||||||| ||und||
040			_aJZL-CUI _cCOMSATS University Islamabad
041			_aeng
082			_a658 _bKHA-E
084			_a658 KHA-E
100			_aKhan, Inzamam. _eFA19-RBB-007/ISB _uCOMSATS University Islamabad.
245		0	_aEvaluating the predictability power of machine learning and deep learning models for multi-frequency time series / _cInzamam Khan. _h[Thesis or Dissertation]
260			_aIslamabad : _bCOMSATS University Islamabad, _c2021.
300			_aix, 114 pages : _billustrations ; _c30 cm + _e1 CD-ROM (4 3/4 in.)
502			_aThesis _bA Post Graduate thesis submitted to the department of Management Sciences as partial fulfillment of the requirement for the award of degree of MS Finance. External Examiner: Ashfaq Ahmad, Dr. AP, Hailey College of Commerce, PU, Lahore. _cCOMSATS University Islamabad
526			_aMS in Management Science.
600			_aAshfaq Ahmad, Dr. _gExternal Examiner: AP, Hailey College of Commerce, PU, Lahore.
600			_aWajid Shakeel Ahmed, Dr. _gSupervisor, AP, Management Sciences.
650			_aMachine learning--Deep learning--Time series.
650			_aMachine learning--Deep learning, Forex market--Financial time series.
655			_aManagement Sciences _bFinance
999			_c489550 _d489550