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Book Quantitative Data Analysis

Download or read book Quantitative Data Analysis written by Willem Mertens and published by Springer. This book was released on 2016-09-29 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in.

Book Handbook Of Financial Econometrics  Mathematics  Statistics  And Machine Learning  In 4 Volumes

Download or read book Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes written by Cheng Few Lee and published by World Scientific. This book was released on 2020-07-30 with total page 5053 pages. Available in PDF, EPUB and Kindle. Book excerpt: This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Book Partial Least Squares Structural Equation Modeling

Download or read book Partial Least Squares Structural Equation Modeling written by Necmi K. Avkiran and published by Springer. This book was released on 2018-02-16 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills. Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R. PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.

Book Field Experiments in Managerial Accounting Research

Download or read book Field Experiments in Managerial Accounting Research written by Sofia M. Lourenço and published by . This book was released on 2019-12-17 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Field Experiments in Managerial Accounting Research is a comprehensive review of this topic. Field experiments promise to be a useful method in managerial accounting research.

Book Research Foundations

Download or read book Research Foundations written by Douglas Woodwell and published by SAGE Publications. This book was released on 2013-11-07 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing research can be daunting and disorienting for novices. After experiencing this first-hand, the author has written a book that shows how to mentally frame research in a way that is understandable and approachable while also discussing some of the more specific issues that will aid the reader in understanding the options available when pursuing their research. Stressing the link between research and theory-building, this concise book shows students how new knowledge is discovered through the process of research. The author presents a model that ties together research processes across the various traditions and shows how different types of research interrelate. The book is sophisticated in its presentation, but uses plain language to provide an explanation of higher-level concepts in an engaging manner. Throughout the book, the author treats research methodologies as a blueprint for answering a wide range of interesting questions, rather than simply a set of tools to be applied. The book is an excellent guide for students who will be consumers of research and who need to understand how theory and research interrelate. "The author did an excellent job on this text. This text is the missing link in explaining research methodologies. His comparison/contrasts are excellent. Moreover, the author provides interesting alternatives and discusses how each alternative might improve the validity of research." —James Anthos, South University, Columbia "...With only six chapters, the text can be covered in a short time allowing for students to spend the majority of their time investigating social issues and developing research. Students who read and understand this book will have the knowledge and resources to cover material they are unfamiliar with." —R. David Frantzreb II, University of North Carolina - Charlotte "I am looking for something just like this that is not overbearing for the student but will complement the supplementary material and resources that I am using with my students. I think the coverage is broad enough that I could use it with all of my groups." —Karen Larwin, Youngstown State University "...I think the author’s emphasis on demonstrating the relationship between theory and research is terribly important and understated in so many other texts. I also think that in the hands of competent professors, it can be supplemented with other sources to help students learn while not being encumbered financially with an expensive tome for which they may only use a fraction of it." —John R. Mitrano, Central Connecticut State University

Book Experimental and Quasi experimental Designs for Generalized Causal Inference

Download or read book Experimental and Quasi experimental Designs for Generalized Causal Inference written by William R. Shadish and published by Cengage Learning. This book was released on 2002 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.

Book Designing Social Inquiry

Download or read book Designing Social Inquiry written by Gary King and published by Princeton University Press. This book was released on 1994-05-22 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing Social Inquiry focuses on improving qualitative research, where numerical measurement is either impossible or undesirable. What are the right questions to ask? How should you define and make inferences about causal effects? How can you avoid bias? How many cases do you need, and how should they be selected? What are the consequences of unavoidable problems in qualitative research, such as measurement error, incomplete information, or omitted variables? What are proper ways to estimate and report the uncertainty of your conclusions?

Book Social Science Research

    Book Details:
  • Author : Anol Bhattacherjee
  • Publisher : CreateSpace
  • Release : 2012-04-01
  • ISBN : 9781475146127
  • Pages : 156 pages

Download or read book Social Science Research written by Anol Bhattacherjee and published by CreateSpace. This book was released on 2012-04-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Book Causal Inferences in Capital Markets Research

Download or read book Causal Inferences in Capital Markets Research written by Iván Marinovic and published by . This book was released on 2016-08-03 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph promotes a broad interdisciplinary debate about causality and the role of causal inference in the social sciences. It allows researchers and Ph.D students in accounting/social sciences to acquire a deeper understanding of the notion of causality and the nature, limits, and scope of empirical research in the social sciences.

Book Causal Inference in Statistics  Social  and Biomedical Sciences

Download or read book Causal Inference in Statistics Social and Biomedical Sciences written by Guido W. Imbens and published by Cambridge University Press. This book was released on 2015-04-06 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

Book Elements of Causal Inference

Download or read book Elements of Causal Inference written by Jonas Peters and published by MIT Press. This book was released on 2017-11-29 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Book Dissertation Abstracts International

Download or read book Dissertation Abstracts International written by and published by . This book was released on 1999 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Corporate Financial Reporting

Download or read book Corporate Financial Reporting written by Ray Ball and published by . This book was released on 1982 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Empirical Research in Accounting

Download or read book Empirical Research in Accounting written by Ian D Gow and published by . This book was released on 2024-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides the foundation for a course that takes PhD students in empirical accounting research from the very basics of statistics, data analysis, and causal inference up to the point at which they conduct their own research. Starting with foundations in statistics, econometrics, causal inference, and institutional knowledge of accounting and finance, the book moves on to an in-depth coverage of the core papers in capital market research. The latter half of the book examines contemporary approaches to research design and empirical analysis, including natural experiments, instrumental variables, fixed effects, difference-in-differences, regression discontinuity design, propensity-score matching, and machine learning. Readers of the book will develop deep data analysis skills using modern tools. Extensive replication and simulation analysis is included throughout. Key Features: Extensive coverage of empirical accounting research over more than 50 years. Integrated coverage of statistics and econometrics, institutional knowledge, and research design. Numerous replications and a dozen simulation analyses to immerse readers in papers and empirical analysis. All tables and figures in the book can be reproduced by readers using included code. Easy-to-use templates facilitate hands-on exercises and introduce reproduceable research concepts. (Solutions available to instructors.)

Book Research Methods in Human Development

Download or read book Research Methods in Human Development written by Paul C. Cozby and published by WCB/McGraw-Hill. This book was released on 1989 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: For undergradute social science majors. A textbook on the interpretation and use of research. Annotation copyright Book News, Inc. Portland, Or.

Book Artificial Intelligence in Accounting and Auditing

Download or read book Artificial Intelligence in Accounting and Auditing written by Mariarita Pierotti and published by Springer Nature. This book was released on with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Empirical Finance

Download or read book Empirical Finance written by Shigeyuki Hamori and published by MDPI. This book was released on 2019-03-25 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of “Empirical Finance” and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.