MARC details
| 000 -LEADER |
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| fixed length control field |
02733nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250617125403.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250617b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781009307413 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
658.15 |
| Item number |
MAV |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Mavruk, Taylan |
| 245 ## - TITLE STATEMENT |
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| Title |
Quantitative research methods in corporate finance: |
| Remainder of title |
exemplified by Stata, Python, and R |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc. |
Cambridge University Press |
| Place of publication, distribution, etc. |
Cambridge |
| Date of publication, distribution, etc. |
2025 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xxiii, 294 p. |
| 365 ## - TRADE PRICE |
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| Price type code |
GBP |
| Price amount |
49.99 |
| 500 ## - GENERAL NOTE |
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| General note |
Table of Contents:<br/><br/>1. Introduction<br/>2. The nature of sampling, non-parametric analysis, and hypothesis testing<br/>3. Basic data analysis in Stata<br/>4. Survey data analysis<br/>5. Classical linear regression model<br/>6. Endogeneity bias<br/>7. Time series analysis<br/>8. Event studies<br/>9. Panel data analysis<br/>10. Selection of models with limited dependent variables<br/>11. Writing empirical papers in corporate finance<br/>12. Future directions: Machine learning methods. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Focused 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.<br/><br/>Explains the most commonly used econometric methods in corporate finance<br/>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<br/>Provides all of the Stata code, with corresponding code for Python and R provided online<br/><br/>(https://www.cambridge.org/us/universitypress/subjects/economics/finance/quantitative-research-methods-corporate-finance-exemplified-stata-python-and-r?format=PB#description) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Business enterprises--Finance--Research |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Econometrics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Python (Computer programming language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
R (Computer programming language) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
