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.

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.

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.

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.

Standard Form for Reporting the Financial Statistics of Public Schools (Classic Reprint)

Standard Form for Reporting the Financial Statistics of Public Schools (Classic Reprint)
Author: L. G. Powers
Publisher: Forgotten Books
Total Pages: 32
Release: 2017-12-21
Genre: Business & Economics
ISBN: 9780484312097

Excerpt from Standard Form for Reporting the Financial Statistics of Public Schools No attempt is here made to show in detail the methods Of adaptation of the standard form to the varying needs of our multiform school sys tems; but following the explanations of the standard form there' are given some general directions and some illustrative examples of such adaptation. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Georgia

Georgia
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
Total Pages: 34
Release: 2024-06-10
Genre: Business & Economics
ISBN:

This technical assistance (TA) mission on Government Finance Statistics (GFS) was conducted in Georgia during January 16– 27, 2023. The main purpose of the mission was to assist the authorities in extending GFS coverage to include non-market State-Owned Enterprises (SOEs) and aligning fiscal reporting requirements to the IMF and the European Union. The mission also reviewed the progress made by the authorities in implementing previous TA recommendations.

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.

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.