Teach Yourself Econometric Data Analysis With Eviews
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Teach Yourself Econometric Data Analysis With Eviews
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Author : Chukwuemeka Tiptop Okoro
language : en
Publisher:
Release Date : 2020-05-18
Teach Yourself Econometric Data Analysis With Eviews written by Chukwuemeka Tiptop Okoro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-18 with categories.
There is a large group of people in a variety of fields, including finance, economics, accounting, science, mathematics, engineering, statistics, and public policy who need to understand some basic concepts of time series analysis and forecasting. Analyzing time-series data and forecasting future values of a time series are among the most important problems that analysts face in many fields. But to Successfully analyze this time series data requires that the analyst interact with computer software because the techniques and algorithms are just not suitable to manual calculations.This book has been written with the aim of solving this problems by providing a step-by-step guide to economic and financial econometrics using EViews. It contains a brief overviews of the concepts of econometric models, and data analysis techniques followed by procedures of how they can be implemented in EViews. This book is written as a compendium for undergraduate and graduate students in economics, finance, statistics and accounting. It can also serve as a guide for researchers and practitioners who desire to use EViews for analyzing financial data. This book may be used as a textbook companion for post graduate level courses in time series analysis, empirical finance, statistics and financial econometrics. Since, many organizations can improve their effectiveness and business results by making better short-to-medium term forecasts, this book should be useful to a wide variety of professionals. Topics Covered with examples Include: Chapter 1: Introduction to EViews. Chapter 2: Descriptive Statistics and Preliminary Tests. Chapter 3: Running Regression Analysis in EViews. Chapter 4: Forecasting Using Regression Models. Chapter 5: Economic Forecasting using ARIMA Modelling. Chapter 6: Volatility Modeling: ARCH, GARCH and EGARCH Models. An Introduction to Financial Econometrics. Chapter 7: Vector Autoregressive (VAR) Model. An Introduction to Macroeconometrics. Chapter 8: Vector Error Correction Model (VECM). Chapter 9: Autoregressive Distributed Lag Model (ARDL). Chapter 10: Panel Data Analysis
Navigating The Future Of Finance In The Age Of Ai
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Author : Pandow, Bilal Ahmad
language : en
Publisher: IGI Global
Release Date : 2024-08-26
Navigating The Future Of Finance In The Age Of Ai written by Pandow, Bilal Ahmad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-26 with Business & Economics categories.
The financial landscape is rapidly evolving, and professionals must keep pace with the complex relationship between traditional financial practices and cutting-edge technologies. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into finance presents a transformative shift that requires a deep understanding and strategic approach. Navigating the Future of Finance in the Age of AI offers a comprehensive exploration of AI's impact on the financial sector, from predictive analytics to algorithmic trading strategies. Each chapter is written by experts in the field, and they provide practical insights and real-world examples to make complex concepts accessible and actionable. The book also delves into regulatory challenges, ethical considerations, and case studies, equipping readers with the tools needed to harness AI's transformative power in finance. Whether you are a finance professional seeking to enhance decision-making, a data scientist aiming to apply ML techniques in finance, or an academic exploring AI's role in financial innovation, this book is an indispensable resource that offers a roadmap to navigate the complexities of AI-driven finance and seize the opportunities it presents.
Ebook Econometrics With Online Learning Centre
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Author : CAMERON
language : en
Publisher: McGraw Hill
Release Date : 2005-02-16
Ebook Econometrics With Online Learning Centre written by CAMERON and has been published by McGraw Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-16 with Business & Economics categories.
EBOOK: Econometrics with Online Learning Centre
Machine Learning Toolbox For Social Scientists
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Author : Yigit Aydede
language : en
Publisher: CRC Press
Release Date : 2023-09-22
Machine Learning Toolbox For Social Scientists written by Yigit Aydede and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-22 with Computers categories.
Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical "tools" that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science and business fields, especially in Economics and Finance. The new organization that this book offers goes beyond standard machine learning code applications, providing intuitive backgrounds for new predictive methods that social science and business students can follow. The book also adds many other modern statistical tools complementary to predictive methods that cannot be easily found in "econometrics" textbooks: nonparametric methods, data exploration with predictive models, penalized regressions, model selection with sparsity, dimension reduction methods, nonparametric time-series predictions, graphical network analysis, algorithmic optimization methods, classification with imbalanced data, and many others. This book is targeted at students and researchers who have no advanced statistical background, but instead coming from the tradition of "inferential statistics". The modern statistical methods the book provides allows it to be effectively used in teaching in the social science and business fields. Key Features: The book is structured for those who have been trained in a traditional statistics curriculum. There is one long initial section that covers the differences in "estimation" and "prediction" for people trained for causal analysis. The book develops a background framework for Machine learning applications from Nonparametric methods. SVM and NN simple enough without too much detail. It’s self-sufficient. Nonparametric time-series predictions are new and covered in a separate section. Additional sections are added: Penalized Regressions, Dimension Reduction Methods, and Graphical Methods have been increasing in their popularity in social sciences.
Research Methodology
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Author : Dr. Neelam Kumar, Dr. Girisha Ramhari Bombale, Dr. Khan Farina Sarfraz Ali, Dr. Srinivas Nagaballi, Dr. Sagar D. Shinde
language : en
Publisher: RK Publication
Release Date : 2025-05-21
Research Methodology written by Dr. Neelam Kumar, Dr. Girisha Ramhari Bombale, Dr. Khan Farina Sarfraz Ali, Dr. Srinivas Nagaballi, Dr. Sagar D. Shinde and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Science categories.
This book provides a comprehensive and systematic exploration of research methodology, covering qualitative, quantitative, and mixed-method approaches. It emphasizes research design, data collection techniques, statistical analysis, ethical considerations, and scholarly documentation, offering a structured guide for academicians, researchers, and students to conduct scientifically rigorous and impactful research across diverse disciplines.
Understanding The Digital Transformation Of Socio Economic Technological Systems
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Author : Tessaleno Campos Devezas
language : en
Publisher: Springer Nature
Release Date : 2024-06-20
Understanding The Digital Transformation Of Socio Economic Technological Systems written by Tessaleno Campos Devezas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-20 with Computers categories.
This book is dedicated to the 120th anniversary of economic education at Peter the Great St. Petersburg Polytechnic University (SPbPU). It gathers the best and most recent research materials of scientists from SPbPU’s Institute of Industrial Management, Economics and Trade and their colleagues from other universities. This book reflects many years of experience, unique results and interesting discoveries made by collaborative teams exploring the following issues: engineering economics, sustainable development and other topics related to the digitalization of enterprises, industries and systems; digital transformation of the service market in the face of global challenges; automation of enterprise control systems, digital and data management solutions for business; socio-economic development and territorial management in the era of Industry 4.0, etc. This book offers various views on challenges faced by today's economy and industry that are undoubtedly relevant to readers of almost all categories: from students to practitioners and scientists, but mostly for researchers.
Teaching Innovations In Economics
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Author : María del Carmen Valls Martínez
language : en
Publisher: Springer Nature
Release Date : 2024-10-31
Teaching Innovations In Economics written by María del Carmen Valls Martínez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Business & Economics categories.
This book highlights the latest technological innovations in economics education. Economics, as a discipline, not only studies the relationship between ends and scarce means, which can be used alternatively, but also serves as a social science that uses historical data to predict future events—a task complicated by the influence of human behavior. In economics, a solid theoretical foundation alone is insufficient; practical application requires a deep understanding of statistics. With the vast amount of information available today, data processing is now performed using specialized software. Consequently, teaching economics demands a wide range of complex skills that have significantly evolved in recent years, driven by the growing interest in educational innovation among professors and scientists, further accelerated by advancements in new technologies. Moreover, economics education is increasingly aligned with the global concern for sustainability, as emphasized in the United Nations' Agenda 2030. Professors are now integrating sustainability into syllabi and teaching methodologies. This book covers key topics such as: Technological and innovative advancements in economics education. New teaching-learning theories and models in economics education. The impact of digital transformation on economics education. The role of artificial intelligence in economics education. Addressing special educational needs in economics education. Evaluation of the teaching-learning process in economics. Assessment of student learning in economics. Development of materials and tools for economics education. Final projects (Undergraduate and Master's) in economics. Authored by leading professors and researchers in the field, this book presents a collection of chapters that rigorously explore teaching innovations in economics.
Enhancing Student Centred Teaching In Higher Education
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Author : Karen Gravett
language : en
Publisher: Springer Nature
Release Date : 2020-01-22
Enhancing Student Centred Teaching In Higher Education written by Karen Gravett and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-22 with Education categories.
This book explores student-staff partnerships through a breadth of co-authored research projects. There is a significant gap in current literature regarding student-staff partnerships, both in the sharing of examples as well as in the examination of partnership working and its impact. Organised into four thematic sections, the editors and contributors highlight the diversity of routes students and staff can take to work in partnership, as well as how research, learning and teaching can be co-created. Written by both university staff and student researchers, the chapters consider the benefits of student-staff partnerships as an antidote to consumerist visions of higher education, and a way of celebrating the potential of students and their voices. This book will be of interest and value to scholars of student-staff partnerships.
Computational Statistics Data Analysis
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Author :
language : en
Publisher:
Release Date : 2002
Computational Statistics Data Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Electronic journals categories.
The American Economic Review
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Author :
language : en
Publisher:
Release Date : 2000
The American Economic Review written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Economics categories.