000			02733nam a22002297a 4500
005			20250617125403.0
008			250617b |||||||| |||| 00| 0 eng d
020			_a9781009307413
082			_a658.15 _bMAV
100			_aMavruk, Taylan _923518
245			_aQuantitative research methods in corporate finance: _bexemplified by Stata, Python, and R
260			_bCambridge University Press _aCambridge _c2025
300			_axxiii, 294 p.
365			_aGBP _b49.99
500			_aTable of Contents: 1. Introduction 2. The nature of sampling, non-parametric analysis, and hypothesis testing 3. Basic data analysis in Stata 4. Survey data analysis 5. Classical linear regression model 6. Endogeneity bias 7. Time series analysis 8. Event studies 9. Panel data analysis 10. Selection of models with limited dependent variables 11. Writing empirical papers in corporate finance 12. Future directions: Machine learning methods.
520			_aFocused on empirical methods and their applications to corporate finance, this innovative text equips students with the knowledge to analyse and critically evaluate quantitative research methods in corporate finance, and conduct computer-aided statistical analyses on various types of datasets. Chapters demonstrate the application of basic econometric models in corporate finance (as opposed to derivations or theorems), backed up by relevant research. Alongside practical examples and mini case studies, computer lab exercises enable students to apply the theories of corporate finance and make stronger connections between theory and practice, while developing their programming skills. All of the Stata code is provided (with corresponding Python and R code available online), so students of all programming abilities can focus on understanding and interpreting the analyses. Explains the most commonly used econometric methods in corporate finance Applications offer practical examples of how results may be interpreted; and lab work and mini case studies allow students to replicate the main findings of published research using the methods learned in the chapters. Students are able to apply the theories of corporate finance and make stronger connections between theory and practice Provides all of the Stata code, with corresponding code for Python and R provided online (https://www.cambridge.org/us/universitypress/subjects/economics/finance/quantitative-research-methods-corporate-finance-exemplified-stata-python-and-r?format=PB#description)
650			_aBusiness enterprises--Finance--Research _924579
650			_aEconometrics
650			_aPython (Computer programming language)
650			_aR (Computer programming language) _916074
942			_cBK _2ddc
999			_c9938 _d9938