Quantitative research methods in corporate finance : exemplified by Stata, Python, and R / Taylan Mavruk.
Material type:
TextPublisher: Cambridge, United Kingdom ; New York, NY, USA : Cambridge University Press, [2025]Description: xxiii, 294 pages 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781009307413Subject(s): Business enterprises -- Finance -- Research | Econometrics | Python (Computer program language) | R (Computer program language)DDC classification: 658.15 LOC classification: HG4026 .M38 2025Summary: "This innovative textbook develops students' understanding of empirical research in corporate finance, enabling them to apply econometric methods to their own research. Features include lab work and mini case studies. Code is provided in Stata, Python and R, so students can develop their programming skills"-- Provided by publisher.
| Item type | Current library | Call number | Status | Date due | Barcode |
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Female Library | HG4026 .M38 2025 (Browse shelf (Opens below)) | Available | 51952000267171 | |
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Books
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Main Library | HG4026 .M38 2025 (Browse shelf (Opens below)) | Available | 51952000267188 |
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| HG3368 .I84 2023 Islamic accounting and finance : a handbook / | HG4026 .B318 2025 Financial management : principles and applications / | HG4026 .B318 2025 Financial management : principles and applications / | HG4026 .M38 2025 Quantitative research methods in corporate finance : exemplified by Stata, Python, and R / | HG4028.A84 .L373 2021 Structured finance / | HG4028.A84 .L373 2021 Structured finance / | HG4515 .B45 2025 Treasury 2.0 : Future-Proofing Finance with AI |
Includes bibliographical references and index.
"This innovative textbook develops students' understanding of empirical research in corporate finance, enabling them to apply econometric methods to their own research. Features include lab work and mini case studies. Code is provided in Stata, Python and R, so students can develop their programming skills"-- Provided by publisher.
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