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Global Flow of Funds Analysis: Data, Models, and Applications

by Nan Zhang , Yiye Zhang
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Current price ₹10,283.00
Original price ₹15,819.00
Original price ₹15,819.00
Original price ₹15,819.00
(-35%)
₹10,283.00
Current price ₹10,283.00

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Book cover type: Paperback
  • ISBN13: 9789819710317
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 315
  • Original Price: EUR 139.99
  • Language: English
  • Edition: N/A
  • Item Weight: 450 grams
  • BISAC Subject(s): Statistics

This book is the first to focus on the global flow of funds (GFF), providing an introduction to its fundamental concepts and establishing a theoretical framework for analysis.

Professor Nan Zhang is Professor of Statistics at the Faculty of Economic Sciences, Hiroshima Shudo University, Japan. He obtained his Ph.D. in Economics from Ritsumeikan University and has been instructing courses in Statistics, Economic Statistics, and Financial Econometrics at Hiroshima Shudo University since 1995. His research is centered on Economic Statistics, Monetary and Financial Statistics, Financial Econometrics, and Global Flow of Funds Statistics and Analysis.

He has conducted extensive and in-depth research on financial statistics, Flow of Fund Analysis, and Global Flow of Funds Statistics and Analysis, resulting in the publication of numerous influential papers and books. Additionally, he was served as an Advisor and Technical Assistance Expert in the Statistics Department of the IMF from 2008 to 2015.

He was served as Special Researcher at the Research Center for Finance and Securities at Peking University (1997-2005).

Dr. Yiye Zhangis Associate Professor at Weill Cornell Medicine of Cornell University and Graduate Faculty in Cornell Systems Engineering. She earned her Ph.D. in Information Systems Management from Carnegie-Mellon University and a Master's in Biostatistics from Columbia University. Her research extensively delves into information systems, particularly developing methodology and software to analyze large datasets.

Her work predominantly revolves around the effective utilization of electronic health records (EHRs) and clinical decision support systems (CDSS), emphasizing their role in enhancing public health. Her expertise in analyzing vast and complex datasets has been instrumental in advancing data science for generating insights from heterogenous populations. Her work has been funded by federal agencies in the USA, including the National Institute of Health, Agency for Healthcare Quality and Research, and US Department of Health and Human Services.

She was named the Walsh McDermott Scholar in Public Health from 2016 to 2019.

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