Introduction to Financial Forecasting in Investment Analysis (Record no. 51120)

000 -LEADER
fixed length control field 03634nam a22004815i 4500
001 - CONTROL NUMBER
control field 978-1-4614-5239-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420211748.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130107s2013 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781461452393
-- 978-1-4614-5239-3
082 04 - CLASSIFICATION NUMBER
Call Number 339
100 1# - AUTHOR NAME
Author Guerard, Jr., John B.
245 10 - TITLE STATEMENT
Title Introduction to Financial Forecasting in Investment Analysis
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 236 p.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-5239-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2013.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Finance.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Economics, Mathematical.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Macroeconomics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Economics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Macroeconomics/Monetary Economics//Financial Economics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Finance, general.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Quantitative Finance.
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-- ZDB-2-SBE

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