International Financial Statistics, March 2018

International Financial Statistics, March 2018
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
Total Pages: 1070
Release: 2018-03-01
Genre: Business & Economics
ISBN: 1484331109
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This paper discusses that for countries that have introduced new currencies, the rates shown in International Financial Statistics (IFS) for the period before the introduction of the most recent currency may be used as conversion factors—they may be used to convert national currency in IFS to US dollar or SDR. In such cases, the factors are constructed by chain linking the exchange rates of the old and the new currencies. The basis used is the value of the new currency relative to the old currency, as established by the issuing agency at the time the new currency was introduced. Notes on the introduction of new currencies can be found in the Country Notes or in IFS print publication (if recent). Data on members’ IMF accounts are presented in the Fund Position section in the country tables and in four world tables. Terms and concepts of IMF accounts and the time series in the country and world tables are explained below.

Reinventing Capitalism in the Age of Big Data

Reinventing Capitalism in the Age of Big Data
Author: Viktor Mayer-Schönberger
Publisher: Basic Books
Total Pages: 239
Release: 2018-02-27
Genre: Business & Economics
ISBN: 0465093698
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From the New York Times bestselling author of Big Data, a prediction for how data will revolutionize the market economy and make cash, banks, and big companies obsolete In modern history, the story of capitalism has been a story of firms and financiers. That's all going to change thanks to the Big Data revolution. As Viktor Mayer-Schörger, bestselling author of Big Data, and Thomas Ramge, who writes for The Economist, show, data is replacing money as the driver of market behavior. Big finance and big companies will be replaced by small groups and individual actors who make markets instead of making things: think Uber instead of Ford, or Airbnb instead of Hyatt. This is the dawn of the era of data capitalism. Will it be an age of prosperity or of calamity? This book provides the indispensable roadmap for securing a better future.

Big Data for Twenty-First-Century Economic Statistics

Big Data for Twenty-First-Century Economic Statistics
Author: Katharine G. Abraham
Publisher: University of Chicago Press
Total Pages: 502
Release: 2022-03-11
Genre: Business & Economics
ISBN: 022680125X
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Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.

Government Finance Statistics Manual 2001

Government Finance Statistics Manual 2001
Author: International Monetary Fund
Publisher: International Monetary Fund
Total Pages: 218
Release: 2001-12-19
Genre: Business & Economics
ISBN: 9781589060616
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This Manual, which updates the first edition published in 1986, is a major advance in the standards for compilation and presentation of fiscal statistics. It is intended as a reference volume for compilers of government finance statistics, fiscal analysts, and other users of fiscal data. The Manual introduces accrual accounting, balance sheets, and complete coverage of government economic and financial activities. It covers concepts, definitions, classifications, and accounting rules, and provides a comprehensive framework for analysis, planning, and policy determination. To the extent possible, the Manual has been harmonized with the System of National Accounts 1993.

Financial Statistics and Data Analytics

Financial Statistics and Data Analytics
Author: Shuangzhe Li
Publisher: MDPI
Total Pages: 232
Release: 2021-03-02
Genre: Business & Economics
ISBN: 3039439758
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Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.

This Time Is Different

This Time Is Different
Author: Carmen M. Reinhart
Publisher: Princeton University Press
Total Pages: 513
Release: 2011-08-07
Genre: Business & Economics
ISBN: 0691152640
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An empirical investigation of financial crises during the last 800 years.

Financial Cryptography and Data Security

Financial Cryptography and Data Security
Author: Sarah Meiklejohn
Publisher: Springer Nature
Total Pages: 558
Release: 2019-08-29
Genre: Computers
ISBN: 3662583879
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This book constitutes the thoroughly refereed post-conference proceedings of the 22nd International Conference on Financial Cryptography and Data Security, FC 2018, held in Nieuwport, Curaçao, in February/ March 2018. The 27 revised full papers and 2 short papers were carefully selected and reviewed from 110 submissions. The papers are grouped in the following topical sections: Financial Cryptography and Data Security, Applied Cryptography, Mobile Systems Security and Privacy, Risk Assessment and Management, Social Networks Security and Privacy and much more.

World Economic Outlook, October 2018

World Economic Outlook, October 2018
Author: International Monetary Fund. Research Dept.
Publisher: International Monetary Fund
Total Pages: 215
Release: 2018-10-09
Genre: Business & Economics
ISBN: 148437679X
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Global growth for 2018–19 is projected to remain steady at its 2017 level, but its pace is less vigorous than projected in April and it has become less balanced. Downside risks to global growth have risen in the past six months and the potential for upside surprises has receded. Global growth is projected at 3.7 percent for 2018–19—0.2 percentage point lower for both years than forecast in April. The downward revision reflects surprises that suppressed activity in early 2018 in some major advanced economies, the negative effects of the trade measures implemented or approved between April and mid-September, as well as a weaker outlook for some key emerging market and developing economies arising from country-specific factors, tighter financial conditions, geopolitical tensions, and higher oil import bills. The balance of risks to the global growth forecast has shifted to the downside in a context of elevated policy uncertainty. Several of the downside risks highlighted in the April 2018 World Economic Outlook (WEO)—such as rising trade barriers and a reversal of capital flows to emerging market economies with weaker fundamentals and higher political risk—have become more pronounced or have partially materialized. Meanwhile, the potential for upside surprises has receded, given the tightening of financial conditions in some parts of the world, higher trade costs, slow implementation of reforms recommended in the past, and waning growth momentum.

Global Financial Stability Report, October 2019

Global Financial Stability Report, October 2019
Author: International Monetary Fund. Monetary and Capital Markets Department
Publisher: International Monetary Fund
Total Pages: 109
Release: 2019-10-16
Genre: Business & Economics
ISBN: 1498324029
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The October 2019 Global Financial Stability Report (GFSR) identifies the current key vulnerabilities in the global financial system as the rise in corporate debt burdens, increasing holdings of riskier and more illiquid assets by institutional investors, and growing reliance on external borrowing by emerging and frontier market economies. The report proposes that policymakers mitigate these risks through stricter supervisory and macroprudential oversight of firms, strengthened oversight and disclosure for institutional investors, and the implementation of prudent sovereign debt management practices and frameworks for emerging and frontier market economies.