The Global Findex Database 2017

The Global Findex Database 2017
Author: Asli Demirguc-Kunt
Publisher: World Bank Publications
Total Pages: 228
Release: 2018-04-19
Genre: Business & Economics
ISBN: 1464812683

In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.

Monetary and Financial Statistics Manual and Compilation Guide

Monetary and Financial Statistics Manual and Compilation Guide
Author: Mr.Jose M Cartas
Publisher: International Monetary Fund
Total Pages: 450
Release: 2017-11-09
Genre: Business & Economics
ISBN: 1513579193

This edition of Monetary and Financial Statistics Manual and Compilation Guide (Manual) updates and merges into one volume methodological and practical aspects of the compilation process of monetary statistics. The Manual is aimed at compilers and users of monetary data, offering guidance for the collection and analytical presentation of monetary statistics. The Manual includes standardized report forms, providing countries with a tool for compiling and reporting harmonized data for the central bank, other depository corporations, and other financial corporations.

Statistics and Data Analysis for Financial Engineering

Statistics and Data Analysis for Financial Engineering
Author: David Ruppert
Publisher: Springer
Total Pages: 736
Release: 2015-04-21
Genre: Business & Economics
ISBN: 1493926144

The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.

Statistical Analysis of Financial Data in S-Plus

Statistical Analysis of Financial Data in S-Plus
Author: René Carmona
Publisher: Springer Science & Business Media
Total Pages: 456
Release: 2006-04-18
Genre: Business & Economics
ISBN: 0387218246

This is the first book at the graduate textbook level to discuss analyzing financial data with S-PLUS. Its originality lies in the introduction of tools for the estimation and simulation of heavy tail distributions and copulas, the computation of measures of risk, and the principal component analysis of yield curves. The book is aimed at undergraduate students in financial engineering; master students in finance and MBA's, and to practitioners with financial data analysis concerns.

Government Finance Statistics Manual 2014

Government Finance Statistics Manual 2014
Author: Mrs.Sage De Clerck
Publisher: International Monetary Fund
Total Pages: 470
Release: 2015-03-10
Genre: Business & Economics
ISBN: 1498379214

The 2007–09 international financial crisis underscored the importance of reliable and timely statistics on the general government and public sectors. Government finance statistics are a basis for fiscal analysis and they play a vital role in developing and monitoring sound fiscal programs and in conducting surveillance of economic policies. The Government Finance Statistics Manual 2014 represents a major step forward in clarifying the standards for compiling and presenting fiscal statistics and strengthens the worldwide effort to improve public sector reporting and transparency.

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

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.

International Financial Statistics Yearbook, 2018

International Financial Statistics Yearbook, 2018
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
Total Pages: 1471
Release: 2018-08-01
Genre: Business & Economics
ISBN: 1484354281

This 2018 yearbook issue of International Financial Statistics (IFS) is a standard source of statistics on all aspects of international and domestic finance. The IMF publishes calculated effective exchange rates data only for countries that have given their approval. The country, euro area, and world tables provide measures of effective exchange rates, compiled by the IMF’s Research Department, Statistics Department, and area departments. The real effective exchange rate index in line rec is derived from the nominal effective exchange rate index, adjusted for relative changes in consumer prices. Consumer price indices, often available monthly, are used as a measure of domestic costs and prices for these countries.

Annual Financial and Statistical Report of the Transactions of the Board of Education of the City of New York for the Fiscal and Calendar Years ...

Annual Financial and Statistical Report of the Transactions of the Board of Education of the City of New York for the Fiscal and Calendar Years ...
Author: New York (N.Y.). Board of Education
Publisher:
Total Pages: 410
Release: 1914
Genre: Education
ISBN:

Each vol. 1906/1908-1906/1910 and 1907/1911-1912/1916 contains tables of data for each year arranged in parallel columns for comparison purposes. Vol 1906/1908 also contains property records and photographs of all New York's public schools; called the "Real estate section" in subsequent vols. 1911/1915 and includes only data for instance where changes or new acquistitions occurred since the previous report. Reports 1911/1915- include "Pictorial section" containing photographic illustrations of various school.activities.

Statistical Models and Methods for Financial Markets

Statistical Models and Methods for Financial Markets
Author: Tze Leung Lai
Publisher: Springer Science & Business Media
Total Pages: 363
Release: 2008-09-08
Genre: Business & Economics
ISBN: 0387778276

The idea of writing this bookarosein 2000when the ?rst author wasassigned to teach the required course STATS 240 (Statistical Methods in Finance) in the new M. S. program in ?nancial mathematics at Stanford, which is an interdisciplinary program that aims to provide a master’s-level education in applied mathematics, statistics, computing, ?nance, and economics. Students in the programhad di?erent backgroundsin statistics. Some had only taken a basic course in statistical inference, while others had taken a broad spectrum of M. S. - and Ph. D. -level statistics courses. On the other hand, all of them had already taken required core courses in investment theory and derivative pricing, and STATS 240 was supposed to link the theory and pricing formulas to real-world data and pricing or investment strategies. Besides students in theprogram,thecoursealso attractedmanystudentsfromother departments in the university, further increasing the heterogeneity of students, as many of them had a strong background in mathematical and statistical modeling from the mathematical, physical, and engineering sciences but no previous experience in ?nance. To address the diversity in background but common strong interest in the subject and in a potential career as a “quant” in the ?nancialindustry,thecoursematerialwascarefullychosennotonlytopresent basic statistical methods of importance to quantitative ?nance but also to summarize domain knowledge in ?nance and show how it can be combined with statistical modeling in ?nancial analysis and decision making. The course material evolved over the years, especially after the second author helped as the head TA during the years 2004 and 2005.