Introduction to Financial Forecasting in Investment Analysis (Record no. 276258)

MARC details
000 -LEADER
fixed length control field 03755nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-1-4614-5239-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160615110134.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130107s2013 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461452393
-- 978-1-4614-5239-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4614-5239-3
Source of number or code doi
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Alfaisal Main Library
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HB172.5
072 #7 - SUBJECT CATEGORY CODE
Subject category code KCB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code KCBM
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS039000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS045000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 339
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Guerard, Jr., John B.
Relator term author.
245 10 - TITLE STATEMENT
Title Introduction to Financial Forecasting in Investment Analysis
Medium [electronic resource] /
Statement of responsibility, etc by John B. Guerard, Jr.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer New York :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture 2013.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 236 p.
Other physical details online resource.
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term computer
Media Type Code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- text file
-- PDF
-- rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Why do we forecast? -- Chapter 2: Regression Analysis and Forecasting Models -- Chapter 3: An Introduction to Time Series Modeling and Forecasting -- Chapter 4: Regression Analysis and Multicollinearity: Two Case Studies -- Chapter 5: Multiple Time Series Analysis and Causality Testing -- Chapter 6: A Case Study of Portfolio Construction using the USER Data and the Barra Aegis System -- Chapter 7: More Efficient Portfolios Featuring the USER Data and an Extension to Global Data and Investment Universes -- Chapter 8: Forecasting World Stock Returns and Improved Asset Allocation -- Chapter 9: Summary and Conclusions.
520 ## - SUMMARY, ETC.
Summary, etc Forecasting—the art and science of predicting future outcomes—has become a crucial skill in business and economic analysis. This volume introduces the reader to the tools, methods, and techniques of forecasting, specifically as they apply to financial and investing decisions.  With an emphasis on “earnings per share” (eps), the author presents a data-oriented text on financial forecasting, understanding financial data, assessing firm financial strategies (such as share buybacks and R&D spending), creating efficient portfolios, and hedging stock portfolios with financial futures.  The opening chapters explain how to understand economic fluctuations and how the stock market leads the general economic trend; introduce the concept of portfolio construction and how movements in the economy influence stock price movements; and introduce the reader to the forecasting process, including exponential smoothing and time series model estimations.  Subsequent chapters examine the composite index of leading economic indicators (LEI); review financial statement analysis and mean-variance efficient portfolios; and assess the effectiveness of analysts’ earnings forecasts.  Using data from such firms as Intel, General Electric, and Hitachi, Guerard demonstrates how forecasting tools can be applied to understand the business cycle, evaluate market risk, and demonstrate the impact of global stock selection modeling and portfolio construction.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Finance.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economics, Mathematical.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Macroeconomics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Macroeconomics/Monetary Economics//Financial Economics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Finance, general.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Quantitative Finance.
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
Source of term local
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781461452386
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-1-4614-5239-3">http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-1-4614-5239-3</a>
912 ## -
-- ZDB-2-SBE
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type eBooks

No items available.

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