Data Science for Financial Econometrics

Produk Detail:
  • Author : Nguyen Ngoc Thach
  • Publisher : Springer Nature
  • Pages : pages
  • ISBN : 3030488535
  • Rating : /5 from reviews
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Big Data Science in Finance

Big Data Science in Finance
  • Author : Irene Aldridge,Marco Avellaneda
  • Publisher : John Wiley & Sons
  • Release : 08 January 2021
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Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial

Handbook of Research on Emerging Theories Models and Applications of Financial Econometrics

Handbook of Research on Emerging Theories  Models  and Applications of Financial Econometrics
  • Author : Burcu Adıgüzel Mercangöz
  • Publisher : Springer Nature
  • Release : 21 March 2021
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This handbook presents emerging research exploring the theoretical and practical aspects of econometric techniques for the financial sector and their applications in economics. By doing so, it offers invaluable tools for predicting and weighing the risks of multiple investments by incorporating data analysis. Throughout the book the authors address a broad range of topics such as predictive analysis, monetary policy, economic growth, systemic risk and investment behavior. This book is a must-read for researchers, scholars and practitioners in the field

Financial Econometrics

Financial Econometrics
  • Author : Oliver Linton
  • Publisher : Cambridge University Press
  • Release : 31 January 2019
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Presents an up-to-date treatment of the models and methodologies of financial econometrics by one of the world's leading financial econometricians.

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

Handbook Of Financial Econometrics  Mathematics  Statistics  And Machine Learning  In 4 Volumes
  • Author : Cheng-few Lee,John C Lee
  • Publisher : World Scientific
  • Release : 30 July 2020
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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

Financial Econometrics and Empirical Market Microstructure

Financial Econometrics and Empirical Market Microstructure
  • Author : Anil K. Bera,Sergey Ivliev,Fabrizio Lillo
  • Publisher : Springer
  • Release : 18 November 2014
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In the era of Big Data our society is given the unique opportunity to understand the inner dynamics and behavior of complex socio-economic systems. Advances in the availability of very large databases, in capabilities for massive data mining, as well as progress in complex systems theory, multi-agent simulation and computational social science open the possibility of modeling phenomena never before successfully achieved. This contributed volume from the Perm Winter School address the problems of the mechanisms and statistics of the

Business Data Science Combining Machine Learning and Economics to Optimize Automate and Accelerate Business Decisions

Business Data Science  Combining Machine Learning and Economics to Optimize  Automate  and Accelerate Business Decisions
  • Author : Matt Taddy
  • Publisher : McGraw-Hill Education
  • Release : 23 August 2019
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go

The Elements of Financial Econometrics

The Elements of Financial Econometrics
  • Author : Jianqing Fan,Qiwei Yao
  • Publisher : Cambridge University Press
  • Release : 23 March 2017
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A compact, master's-level textbook on financial econometrics, focusing on methodology and including real financial data illustrations throughout. The mathematical level is purposely kept moderate, allowing the power of the quantitative methods to be understood without too much technical detail.

Statistics for Business and Financial Economics

Statistics for Business and Financial Economics
  • Author : Cheng-Few Lee,John C. Lee,Alice C. Lee
  • Publisher : Springer Science & Business Media
  • Release : 12 March 2013
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Statistics for Business and Financial Economics, 3rd edition is the definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book. Therefore, this book gives students an understanding of how to apply the methodology of statistics to real world situations. In particular, this book shows how descriptive statistics, probability, statistical distributions, statistical inference, regression methods, and statistical decision theory can be used to analyze individual stock price, stock index, stock rate of return, market rate of

Python for Finance Cookbook

Python for Finance Cookbook
  • Author : Eryk Lewinson
  • Publisher : Packt Publishing Ltd
  • Release : 31 January 2020
GET THIS BOOK Python for Finance Cookbook

Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key Features Use powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial data Explore unique recipes for financial data analysis and processing with Python Estimate popular financial models such as CAPM and GARCH using a problem-solution approach Book Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In

Teach Yourself Econometric Data Analysis with EViews

Teach Yourself Econometric Data Analysis with EViews
  • Author : Chukwuemeka Tiptop Okoro
  • Publisher : Unknown
  • Release : 18 May 2020
GET THIS BOOK Teach Yourself Econometric Data Analysis with EViews

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

Study Guide for Statistics for Business and Financial Economics

Study Guide for Statistics for Business and Financial Economics
  • Author : Ronald L. Moy,Li-Shya Chen,Lie Jane Kao
  • Publisher : Springer
  • Release : 04 December 2014
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This Study Guide accompanies Statistics for Business and Financial Economics, 3rd Ed. (Springer, 2013), which is the most definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book. The Study Guide contains unique chapter reviews for each chapter in the textbook, formulas, examples and additional exercises to enhance topics and their application. Solutions are included so students can evaluate their own understanding of the material. With more real-life data sets than the other books on the

Econometric Forecasting and High frequency Data Analysis

Econometric Forecasting and High frequency Data Analysis
  • Author : Roberto S. Mariano,Yiu Kuen Tse
  • Publisher : World Scientific
  • Release : 20 April 2021
GET THIS BOOK Econometric Forecasting and High frequency Data Analysis

This important book consists of surveys of high-frequency financial data analysis and econometric forecasting, written by pioneers in these areas including Nobel laureate Lawrence Klein. Some of the chapters were presented as tutorials to an audience in the Econometric Forecasting and High-Frequency Data Analysis Workshop at the Institute for Mathematical Science, National University of Singapore in May 2006. They will be of interest to researchers working in macroeconometrics as well as financial econometrics. Moreover, readers will find these chapters useful as

Financial Econometrics

Financial Econometrics
  • Author : Svetlozar T. Rachev,Stefan Mittnik,Frank J. Fabozzi,Sergio M. Focardi,Teo Jašić
  • Publisher : John Wiley & Sons
  • Release : 22 March 2007
GET THIS BOOK Financial Econometrics

A comprehensive guide to financial econometrics Financial econometrics is a quest for models that describe financial time series such as prices, returns, interest rates, and exchange rates. In Financial Econometrics, readers will be introduced to this growing discipline and the concepts and theories associated with it, including background material on probability theory and statistics. The experienced author team uses real-world data where possible and brings in the results of published research provided by investment banking firms and journals. Financial Econometrics