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1000 tulosta hakusanalla Christopher R. Seitz

Tidy Finance with R

Tidy Finance with R

Christoph Scheuch; Stefan Voigt; Patrick Weiss

TAYLOR FRANCIS LTD
2023
sidottu
This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with R, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using the tidyverse family of R packages. Code is provided to prepare common open-source and proprietary financial data sources (CRSP, Compustat, Mergent FISD, TRACE) and organize them in a database. We reuse these data in all the subsequent chapters, which we keep as self-contained as possible. The empirical applications range from key concepts of empirical asset pricing (beta estimation, portfolio sorts, performance analysis, Fama-French factors) to modeling and machine learning applications (fixed effects estimation, clustering standard errors, difference-in-difference estimators, ridge regression, Lasso, Elastic net, random forests, neural networks) and portfolio optimization techniques.HighlightsSelf-contained chapters on the most important applications and methodologies in finance, which can easily be used for the reader’s research or as a reference for courses on empirical financeEach chapter is reproducible in the sense that the reader can replicate every single figure, table, or number by simply copying and pasting the code we provideA full-fledged introduction to machine learning with tidymodels based on tidy principles to show how factor selection and option pricing can benefit from Machine Learning methodsChapter 2 on accessing and managing financial data shows how to retrieve and prepare the most important datasets financial economics: CRSP and Compustat. The chapter also contains detailed explanations of the most relevant data characteristicsEach chapter provides exercises based on established lectures and classes which are designed to help students to dig deeper. The exercises can be used for self-studying or as a source of inspiration for teaching exercises
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Tidy Finance with R

Tidy Finance with R

Christoph Scheuch; Stefan Voigt; Patrick Weiss

TAYLOR FRANCIS LTD
2023
nidottu
This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with R, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using the tidyverse family of R packages. Code is provided to prepare common open-source and proprietary financial data sources (CRSP, Compustat, Mergent FISD, TRACE) and organize them in a database. We reuse these data in all the subsequent chapters, which we keep as self-contained as possible. The empirical applications range from key concepts of empirical asset pricing (beta estimation, portfolio sorts, performance analysis, Fama-French factors) to modeling and machine learning applications (fixed effects estimation, clustering standard errors, difference-in-difference estimators, ridge regression, Lasso, Elastic net, random forests, neural networks) and portfolio optimization techniques.HighlightsSelf-contained chapters on the most important applications and methodologies in finance, which can easily be used for the reader’s research or as a reference for courses on empirical financeEach chapter is reproducible in the sense that the reader can replicate every single figure, table, or number by simply copying and pasting the code we provideA full-fledged introduction to machine learning with tidymodels based on tidy principles to show how factor selection and option pricing can benefit from Machine Learning methodsChapter 2 on accessing and managing financial data shows how to retrieve and prepare the most important datasets financial economics: CRSP and Compustat. The chapter also contains detailed explanations of the most relevant data characteristicsEach chapter provides exercises based on established lectures and classes which are designed to help students to dig deeper. The exercises can be used for self-studying or as a source of inspiration for teaching exercises
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Ausbildung - Der Turbo F r Dein Studium?

Ausbildung - Der Turbo F r Dein Studium?

Christoph Rabl

Grin Verlag
2012
nidottu
Wissenschaftliche Studie aus dem Jahr 2011 im Fachbereich BWL - Didaktik, Wirtschaftspdagogik, Note: 1,3, Ludwig-Maximilians-Universitt Mnchen, Sprache: Deutsch, Abstract: Untersuchung eines mglichen Einflusses einer beruflichen Ausbildung auf die Selbstkontroll-Kapazitt von Studierenden
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R&D Resources in Multibusiness Firms

R&D Resources in Multibusiness Firms

David Gerstner; Christoph Bäumel

AV Akademikerverlag
2012
pokkari
Revision with unchanged content. Almost half a century of diversification research supports the suggestion that related resources lead to a superior performance of multibusiness firms. Nonetheless no direct measurement concept on a complete resource base of a single business function exists up to now. This book is focusing on this gap and the understanding of R&D. Besides the core question of relatedness there are two main hypotheses developed: Is relatedness similar to the potential synergies of a resource which is tested to be significantly true while know-ledge based resources are tested not to be more important for the success of R&D than others. The results suggest that three resources are most important in terms of relatedness. These are analysed and categorised on a more de-tailed sub-level to identify the related resources of R&D units but also to high-light the degree of relatedness within these resources. The measure is able to offer one overall relatedness value that shows to what degree R&D depart-ments within a multibusiness firm are related. Hence this book offers in-teresting implications for oncoming studies on measuring relatedness, as it does for practitioners who want to measure the relatedness of R&D.
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Das Hochgebirge Von Grindelwald. Naturbilder Aus Der Schweizerischen Alpenwelt Von C. Aeby Und E. V. Fellenberg Und Gerwer. Mit Einer Karte in Farbendruck Von R. Leuzinger

Das Hochgebirge Von Grindelwald. Naturbilder Aus Der Schweizerischen Alpenwelt Von C. Aeby Und E. V. Fellenberg Und Gerwer. Mit Einer Karte in Farbendruck Von R. Leuzinger

Christoph Aeby; Edmund Von Fellenberg; Rud Gerwer

British Library, Historical Print Editions
2011
pokkari
Title: Das Hochgebirge von Grindelwald. Naturbilder aus der schweizerischen Alpenwelt von C. Aeby und E. v. Fellenberg ... und Gerwer. Mit ... einer Karte in Farbendruck von R. Leuzinger.Publisher: British Library, Historical Print EditionsThe British Library is the national library of the United Kingdom. It is one of the world's largest research libraries holding over 150 million items in all known languages and formats: books, journals, newspapers, sound recordings, patents, maps, stamps, prints and much more. Its collections include around 14 million books, along with substantial additional collections of manuscripts and historical items dating back as far as 300 BC.The HISTORY OF EUROPE collection includes books from the British Library digitised by Microsoft. This collection includes works chronicling the development of Western civilisation to the modern age. Highlights include the development of language, political and educational systems, philosophy, science, and the arts. The selection documents periods of civil war, migration, shifts in power, Muslim expansion into Central Europe, complex feudal loyalties, the aristocracy of new nations, and European expansion into the New World. ++++The below data was compiled from various identification fields in the bibliographic record of this title. This data is provided as an additional tool in helping to insure edition identification: ++++ British Library Aeby, Christoph; Fellenberg, Edmund von; Gerwer, Rud; 1865. lxv. 150 p.; 8 . 10196.f.21.
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