000			01419nam a22001817a 4500
008			220915b |||||||| |||| 00| 0 eng d
100			_aSatish K Mittal _91416
245			_aThe Model Predictability Power to explain underpricing in Bookbuild IPO _bA Study of Indian Capital Market
260			_aNoida _bIndian Institute of finance _c2022
300			_aVol XXXVI NO 2 June 2022 :- Pg. 663-680
520			_aThis attempt is made to empirically explore the determinants of underpricing of Initial Public Offerings in the Indian Capital Market with the help of (OLS Regression and Stepwise Regression method by transformation of variables. This study considered 335 book build IPOs for the period Jan 2006 to Dec 2015. This study Considered 335 book build IPOs For the period Jan 2006 to Dec 2015 .This study reveals that variables predictability varies as different models are applied. It is proven that the transformation model has strong predictability varies as different models are applied. It is proven that the transformation model has strong predictability power to explain under pricing by OLS regression method while the stepwise regression method also produces strong predictable power with the help of transformation of variables.
650			_aCapital Market _91417
654			_aOLS regression
654			_aFinancial Markets
700			_aSeema Verma _91418
773			_tFinance India
942			_cAR
999			_c37531 _d37531