Merger and acquire of series: A new approach of time series modeling

Present paper proposes an autoregressive time series model to study the behaviour of merger and acquire concept which is equally important as other available theories like structural break, detrending etc. The main motivation behind newly proposed merged autoregressive (M-AR) model is to study the impact of merger in the parameters as well as acquired series. First, we recommend the estimation setup using popular classical least square and posterior distribution under Bayesian method with different loss function. Then, we obtain Bayes factor, full Bayesian significance test and credible interval to know the significance of the merger series. A simulation as well as empirical study is illustrated.