(eBook PDF) Realistic Business Forecasting

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product details:

• ISBN-10 ‏ : ‎ 1912777398
• ISBN-13 ‏ : ‎ 978-1912777396
• Author: Adam Simmons

‘Realistic Business Forecasting’ bridges the gap between the academic methodology of forecasting and the practical application of these techniques in any business. There are plenty of books which cover topics of business strategy, such as an assessment of political and legal influences on an industry (a PEST analysis) or an analysis of the market and competitors. Similarly, people wishing to find books on the topic of forecasting will find an abundance of books which go into detail on a wide array of techniques. What Adam felt was missing was a text which blended these two issues; for example, once a firm has determined that a country’s economy is likely to weaken and its currency is expected to decline, how can this information be quantified and incorporated into a practical business strategy?

In business, a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis is not an academic exercise, it is a means to build on a company’s strengths, relative to its competitors. It is conducted to eliminate (or at least mitigate) relative weaknesses and assess factors in the macro-environment which the firm can use to its advantage, or against which it can build defences. The missing link is how all these factors are related to forecasting and this book provides that link.

table of contents:

Part I: Choosing the Right Type of Forecasting Model

Part II: Useful Tools for Practical Business Forecasting

Part III: The General Linear Regression Model

Part IV: Additional Topics for Single-Equation Regression Models

Part V: Forecasting with a Single-Equation Regression Model

Part VI: Elements Of Univariate Time-Series Methods

Part VII: Univariate Time Series Modeling and Forecasting

Part VIII: Combining Forecasts

Part IX: Building and Presenting Short-Term Sales Forecasting Models

Part X: Methods of Long-Term Forecasting

Part XI: Simultaneous Equation Models

Part XII: Alternative Methods of Macroeconomic Forecasting

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