“…Another important issue is academic researchers may utilise different models to accounts for risk factors and potentially to figure out the optimal estimation laws. Study Jeon ( 2021 ), Markoulis and Neofytou ( 2019 ), Flouris and Walker ( 2005 ), Kolaric and Schiereck ( 2016 ), Gillen and Lall ( 2003 ), Bouoiyour and Selmi ( 2018 ), Krieger and Chen ( 2015 ), Wang ( 2013 ), Rauh and Schneider ( 2013 ), Chen et al ( 2010 ), El-Gazzar et al ( 2009 ), Cam ( 2008 ), da Silva Rocha and Figueiredo Pinto ( 2006 ), Drakos ( 2004 ), Kim and Gu ( 2004 ), Goodrich ( 2002 ), Karels ( 1989 ). |
Topic area New method to predict share price |
Methods Component Analysis (PCA), two-stage (operational and stock market indicators) network data envelopment analysis process, the binomial option pricing model, Black-Scholes model, discounted cash flow (DCF) methodology, design a framework to account for acquisition and valuation risks, Multiple Objective Linear Programming (MOLP) optimisation model, integrated approach based on genetic fuzzy systems (GFS) and artificial neural networks (ANN), contingent claims valuation model, the real options framework to develop a multi-stage investment in the aerospace maintenance, repair, and overhaul (MRO) industry |
Main finding It is claimed that introducing new model can help industry practitioners in figuring-out the profitability potentials. |
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