Introduction to financial forecasting in investment analysis / John B. Guerard, Jr
Material type: TextPublication details: New York Springer c2013Description: xi, 236 p. ill. (some col) 24 cmISBN: 9781489993267Subject(s): Investment analysis | Economic forecasting | Business forecastingLOC classification: HG4529 | G89 2013Summary: 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.Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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BOOK | UNIMY PJ Library | TB | HG 4529 G89 2013 (Browse shelf (Opens below)) | Available | 102634 | ||
BOOK | UNIMY PJ Library | TB | HG 4529 G89 2013 (Browse shelf (Opens below)) | Available | 102636 | ||
BOOK | UNIMY PJ Library | TB | HG4529 G89 2013 (Browse shelf (Opens below)) | Available | 102637 |
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HG4026 F67 2019 Foundations of finance : the logic and practice of financial management | HG4026 F67 2019 Foundations of finance : the logic and practice of financial management | HG4026 F67 2019 Foundations of finance : the logic and practice of financial management | HG 4529 G89 2013 Introduction to financial forecasting in investment analysis | HG 4529 G89 2013 Introduction to financial forecasting in investment analysis | HG4529 G89 2013 Introduction to financial forecasting in investment analysis | HM651 .N35 2014 Knowledge and systems science : enabling systemic knowledge synthesis / |
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.
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