The Measurement of Financial Risk and Evaluation of Economic Policy Based on Big Data, Heng-Guo Zhang (9789999314183) — Readings Books

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The Measurement of Financial Risk and Evaluation of Economic Policy Based on Big Data
Paperback

The Measurement of Financial Risk and Evaluation of Economic Policy Based on Big Data

$115.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

My name is Heng-Guo Zhang, who is currently the associate professor at the Center of Economic Research in Shandong University. My research focuses on big data and economics. My work bridges such areas as financial mathematics, economic policy and machine learning. A major facet of my professional activity has been to use big data techniques to study financial risks and economic policies.

This book summarizes my research in the last decade and can be divided into two parts. The first part illustrates how to use big data to measure financial risk, and the second part shows how to use big data to evaluate economic policies. The publication of this book could give inspiration and assistance for scholars in the areas of big data and economics.

The book is published in memory of my mother, who has passed away few years ago. My mother set an example of kindness and perseverance for me. The love of my mother helps me to go through the ups and downs in my life.

The help from my friends also help me to finish this book. For example, Associate Professor Fei Su from the College of Economics and Management at Nanjing University of Aeronautics and Astronautics, Associate Professor Tiantian Xu from the School of Information and Control Engineering at Qingdao University of Technology, and instructor Yuchi Xie from Shanghai Business School, and so on.

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Format
Paperback
Publisher
Eliva Press
Date
9 January 2024
Pages
242
ISBN
9789999314183

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

My name is Heng-Guo Zhang, who is currently the associate professor at the Center of Economic Research in Shandong University. My research focuses on big data and economics. My work bridges such areas as financial mathematics, economic policy and machine learning. A major facet of my professional activity has been to use big data techniques to study financial risks and economic policies.

This book summarizes my research in the last decade and can be divided into two parts. The first part illustrates how to use big data to measure financial risk, and the second part shows how to use big data to evaluate economic policies. The publication of this book could give inspiration and assistance for scholars in the areas of big data and economics.

The book is published in memory of my mother, who has passed away few years ago. My mother set an example of kindness and perseverance for me. The love of my mother helps me to go through the ups and downs in my life.

The help from my friends also help me to finish this book. For example, Associate Professor Fei Su from the College of Economics and Management at Nanjing University of Aeronautics and Astronautics, Associate Professor Tiantian Xu from the School of Information and Control Engineering at Qingdao University of Technology, and instructor Yuchi Xie from Shanghai Business School, and so on.

Read More
Format
Paperback
Publisher
Eliva Press
Date
9 January 2024
Pages
242
ISBN
9789999314183