000			01408nam a22001937a 4500
008			231031b |||||||| |||| 00| 0 eng d
100			_aVenkateswaran Vinod _93256
245			_aPredicting Acquisitions in the Indian Financial Services Sector _bVenkateswaran Vinod
260			_aNoida _bIndian Institute of Finance _c2023
300			_aVol XXXVII No 3 pg 717-736
520			_aAcquisitions are crucial for firm's growth strategy with various motivations such as economies of scale, new product or technology acquisition, introduction in new markets and increasing market share. These motivations are applicable in the financial services sector. In India acquisitions have gained prominence over the last few decades for reasons such as liberalization, globalization and access to capital markets. Research on predicting acquisitions over the previous four decades has been developed using traditional statistical modeling. In addition accounting data has been used as independent variables to determine the probability of acquisition. Two models have been developed using Random Forest and Logistic Regression for predicting takeovers in the Indian financial services industry.
650			_aFinancial Services _93257
650			_aIndustry _93258
650			_aMachine Learning _93259
650			_aModeling _93260
700			_aS K Sudarsanam _93261
773			_tFinance India
942			_cAR
999			_c39340 _d39340