4th ed. — Cambridge Press, 2019. — 256 p. This free software guide for Python with freely downloadable datasets brings the econometric techniques to life, showing readers how to implement the approaches presented in Introductory Econometrics for Finance using this highly popular software package. Designed to be used alongside the main textbook, the guide will give readers the...
4th ed. — John Wiley & Sons Ltd., 2012. — 834 p. — ISBN: 1119951674, 9781119951674. This highly successful text serves as a guide to alternative techniques in econometrics with an emphasis on the practical application of these approaches. The 4th Edition features: Coverage of a wide range of topics, including time series analysis, cointegration, limited dependent variables,...
5th Еdition. — Reactive Publishing, 2024. — 402 p. — ASIN: B0D7QGX98P. Master financial econometrics and Python programming to analyze, predict, and strategize in financial markets. This comprehensive guide offers: Core Principles: Understand econometrics and its applications in finance with beginner-friendly Python programming. Advanced Techniques: Implement ARIMA, GARCH, VAR...
Oxford University Press, 2015. — 1565 p. — ISBN 978–0–19–021082–3. The Oxford Handbook of Panel Data examines new developments in theory and applications in panel data. It includes basic topics like nonstationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels,...
2nd ed. — Business Expert Press, 2015. — 299 p. — ISBN: 1631573853, 9781631573859. The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. This book covers essential elements of building and understanding regression models in a business/economic context in an...
4th ed. — Cambridge University Press, 2019. — 724 p. — ISBN 110852754X, 9781108527545. A complete resource for finance students, this textbook presents the most common empirical approaches in finance in a comprehensive and well-illustrated manner that shows how econometrics is used in practice, and includes detailed case studies to explain how the techniques are used in...
6th ed. — Springer, 2021. — 444 p. — ISBN 9783030539528. This textbook offers a comprehensive introduction to panel data econometrics, an area that has enjoyed considerable growth over the last two decades. Micro and Macro panels are becoming increasingly available, and methods for dealing with these types of data are in high demand among practitioners. Software programs have...
Oxford University Press, 2015. — 1820 p. — ISBN 978–0–19–105847–9. This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial data. It provides an account of the time series techniques dealing with univariate and multivariate time series models, as well as panel data models. It attempts at an...
Springer, 2018. — 1089 p. — ISBN: 3319731491. This book addresses both theoretical developments in and practical applications of econometric techniques to finance-related problems. It includes selected edited outcomes of the International Econometric Conference of Vietnam (ECONVN2018), held at Banking University, Ho Chi Minh City, Vietnam on January 15-16, 2018. Econometrics is...
John Wiley & Sons, Inc., 2024. — 304 р. — ISBN: 978-1394243051. Get more out of your data with step-by-step tutorials for the Excel features you need to know. Excel is still the most popular tool for organizing and analyzing data, and today's professionals are expected to have a high degree of fluency with it. Complex Excel tools like Pivot Tables, PowerQuery, and PowerPivot...
John Wiley & Sons Ltd., 2019. — 527 p. — ISBN: 978-1-11894-918-4 (EPUB). This book provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemiology, this book presents classic methodology and applications as well as more advanced topics and recent developments in this...
Springer, 2018. — 239 p. — ASIN B079VWQZ17. This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the...
Packt Publishing, 2014. — 338 p. — ISBN: 1782170928, 9781782170921.
Minitab has been a statistical package of choice across all numerous sectors of industry including education and finance. Correctly using Minitab's statistical tools is an essential part of good decision making and allows you to achieve your targeted results, while displaying fantastic charts and a powerful...
BPB Publications, 2024. — 606 р. — ISBN 978-93-55518-811. A practical guide to using Excel for decision making, forecasting, optimization, and more Key Features ● Solve a wide range of decision-making problems in operations, finance, and statistics. ● Build and use Excel models to analyze data and make informed decisions. ● Use the Excel Solve function to find the optimal...
2nd Edition. — Palgrave Macmillan, 2024. — 250 p. — (Palgrave Texts in Econometrics. Series). — ISBN 978-3-031-57181-7. Учебник по пространственной эконометрике: с приложениями на R, STATA и Python This textbook offers a practical and engaging introduction to spatial econometric modelling, detailing the key models, methodologies and tools required to successfully apply a...
World Scientific, 2020. — 167 p. — ISBN 9789811220777. This book aims to fill the gap between panel data econometrics textbooks, and the latest development on “big data”, especially large-dimensional panel data econometrics. It introduces important research questions in large panels, including testing for cross-sectional dependence, estimation of factor-augmented panel data...
John Wiley & Sons Inc., 2024. — 272 р. — ISBN-13: 978-1394210305. A fun and straightforward approach to learning personal finance and budgeting In The Personal Finance Cookbook, Certified Financial Planner certificant and celebrated social media creator Nick Meyer delivers a fun and engaging toolkit for a variety of personal finance tasks, including budgeting, investing, and...
Springer, 2021. — 713 p. — ISBN 978-3-030-73248-6. This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and...
Palgrave Macmillan, 2021. — 305 p. — ISBN 978-981-16-4062-9. This textbook gives students an approachable, down to earth resource for the study of financial econometrics. While the subject can be intimidating, primarily due to the mathematics and modelling involved, it is rewarding for students of finance and can be taught and learned in a straightforward way. This book, going...
Chapman and Hall/CRC, 2025. — 494 p. — (Chapman & Hall/CRC The R Series). — ISBN: 978-1-003-10026-3. This book is about doing microeconometrics, defined by Cameron and Trivedi as "the analysis of individual-level data on the economic behavior of individuals or firms using regression methods applied to cross-section and panel data" with R. Microeconometrics became increasingly...
Привет всем, кто нибудь может посоветовать как, используя панельные данные(в моем случае наблюдения за банками за 12 месяцев по таким параметрам, как активы, капитал, депозиты, кредиты и т.д, количество банков например 40-50), разработать рейтинг надежности банков(в пакете Eviews). Заранее благодарен. Извиняюсь перед администраторами сайта за то, пишу не по назначению.
Все-таки программы и книги к ним стоит отдельно - в Финансово-экономические - в Пакеты прикладных программ в экономике - в новый раздел ;) Если надо, напишу новый список :)
Время подошло!Пожалуйста, выделите под чертой новый раздел - Анализ экономических данных в пакетах SPSS, STATISTICA, Eviews, ExcelSPSS ...STATISTICA ...Eviews ...Excel ...Я буду очень-приочень благодарна! Эта путаница с поиском пакетов и перешвыриваниванием их из раздела в раздел уже просто замучила.
P.S. Желательно создать раздел с подразделением на выделенные пакеты, т.е. не делать отдельные папки для каждого пакета, а выложить их в одну папку, но с разделением по названию пакетов, по типу того, как отделяются Обучающие пакеты, программы и т.д. Пожалуйста...!
Комментарии
является повтором /file/35987/
Заранее благодарен.
Извиняюсь перед администраторами сайта за то, пишу не по назначению.
Если надо, напишу новый список :)
Пока это нецелесообразно с технической т.з.
Анализ экономических данных в пакетах SPSS, STATISTICA, Eviews, ExcelSPSS
...STATISTICA
...Eviews
...Excel
...Я буду очень-приочень благодарна!
Эта путаница с поиском пакетов и перешвыриваниванием их из раздела в раздел уже просто замучила.
P.S. Желательно создать раздел с подразделением на выделенные пакеты, т.е. не делать отдельные папки для каждого пакета, а выложить их в одну папку, но с разделением по названию пакетов, по типу того, как отделяются Обучающие пакеты, программы и т.д. Пожалуйста...!