John E. Silvia – författare

A comprehensive analysis of the macroeconomic and financial forces altering the economic landscape

Financial decision-making requires one to anticipate how their decision will not only affect their business, but also the economic environment. Unfortunately, all too often, both private and public sector decision-makers view their decisions as one-off responses and fail to see their decisions within the context of an evolving decision-making framework.

In Decision-Making in a Dynamic Economic Setting, John Silvia, Chief Economist of Wells Fargo and one of the top 5 economic forecasters according to Bloomberg News and USA Today, skillfully puts this discipline in perspective.

Details realistic, decision-making approaches and applications under a broad set of economic scenarios Analyzes monetary policy and addresses the impact of financial regulations Examines business cycles and how to identify economic trends, how to deal with uncertainty and manage risk, the building blocks of growth, and strategies for innovation

Decision-Making in a Dynamic Economic Setting details the real-world application of economic principles and financial strategy in making better business decisions.

A comprehensive analysis of the macroeconomic and financial forces altering the economic landscape

Financial decision-making requires one to anticipate how their decision will not only affect their business, but also the economic environment. Unfortunately, all too often, both private and public sector decision-makers view their decisions as one-off responses and fail to see their decisions within the context of an evolving decision-making framework.

In Decision-Making in a Dynamic Economic Setting, John Silvia, Chief Economist of Wells Fargo and one of the top 5 economic forecasters according to Bloomberg News and USA Today, skillfully puts this discipline in perspective.

Details realistic, decision-making approaches and applications under a broad set of economic scenarios Analyzes monetary policy and addresses the impact of financial regulations Examines business cycles and how to identify economic trends, how to deal with uncertainty and manage risk, the building blocks of growth, and strategies for innovation

Decision-Making in a Dynamic Economic Setting details the real-world application of economic principles and financial strategy in making better business decisions.

Discover the secrets to applying simple econometric techniques to improve forecasting Equipping analysts, practitioners, and graduate students with a statistical framework to make effective decisions based on the application of simple economic and statistical methods, Economic and Business Forecasting offers a comprehensive and practical approach to quantifying and accurate forecasting of key variables. Using simple econometric techniques, author John E. Silvia focuses on a select set of major economic and financial variables, revealing how to optimally use statistical software as a template to apply to your own variables of interest. Presents the economic and financial variables that offer unique insights into economic performanceHighlights the econometric techniques that can be used to characterize variablesExplores the application of SAS software, complete with simple explanations of SAS-code and outputIdentifies key econometric issues with practical solutions to those problemsPresenting the "ten commandments" for economic and business forecasting, this book provides you with a practical forecasting framework you can use for important everyday business applications.

Discover the secrets to applying simple econometric techniques to improve forecasting

Equipping analysts, practitioners, and graduate students with a statistical framework to make effective decisions based on the application of simple economic and statistical methods, Economic and Business Forecasting offers a comprehensive and practical approach to quantifying and accurate forecasting of key variables. Using simple econometric techniques, author John E. Silvia focuses on a select set of major economic and financial variables, revealing how to optimally use statistical software as a template to apply to your own variables of interest.

Presents the economic and financial variables that offer unique insights into economic performance Highlights the econometric techniques that can be used to characterize variables Explores the application of SAS software, complete with simple explanations of SAS-code and output Identifies key econometric issues with practical solutions to those problems

Presenting the "ten commandments" for economic and business forecasting, this book provides you with a practical forecasting framework you can use for important everyday business applications.

Reality-based modeling for today's unique economic recovery Economic Modeling in the Post Great Recession Era presents a more realistic approach to modeling, using direct statistical applications to address the characteristics and trends central to current market behaviors. This book's unique focus on the reality of today's markets makes it an invaluable resource for students and practitioners seeking a comprehensive guide to more accurate forecasting. While most books treat the economy as if it were in a vacuum, building models around idealized or perception-biased behaviors, this book deals with the economy as it currently stands—in a state of recovery, limited by financial constraints, imperfect information, and lags and disparities in price movements. The authors identify how these characteristics impact various markets' behaviors, and quantify those behaviors using SAS as the primary statistical tool.Today's economy bears a number of unique attributes that usual modeling methods fail to consider. This book describes how to approach modeling based on real-world, observable data in order to make better-informed decisions in today's markets. Discover the three economic characteristics with the greatest impact on various marketsCreate economic models that mirror the current post-recession realityAdopt statistical methods that identify and adapt to structural breaks and lagsFactor real-world imperfections into modeling for more accurate forecastingThe past few years have shown a clear demarcation between policymakers' forecasts and actual outcomes. As the dust settles on the Great Recession, after-effects linger—and impact our current recovery in ways that diverge from past experience and theoretical expectations. Economic Modeling in the Post Great Recession Era provides comprehensive guidance grounded in reality for today's economic decision-makers.

Reality-based modeling for today''s unique economic recovery

Economic Modeling in the Post Great Recession Era presents a more realistic approach to modeling, using direct statistical applications to address the characteristics and trends central to current market behaviors. This book''s unique focus on the reality of today''s markets makes it an invaluable resource for students and practitioners seeking a comprehensive guide to more accurate forecasting. While most books treat the economy as if it were in a vacuum, building models around idealized or perception-biased behaviors, this book deals with the economy as it currently stands—in a state of recovery, limited by financial constraints, imperfect information, and lags and disparities in price movements. The authors identify how these characteristics impact various markets'' behaviors, and quantify those behaviors using SAS as the primary statistical tool.

Today''s economy bears a number of unique attributes that usual modeling methods fail to consider. This book describes how to approach modeling based on real-world, observable data in order to make better-informed decisions in today''s markets.

Discover the three economic characteristics with the greatest impact on various markets Create economic models that mirror the current post-recession reality Adopt statistical methods that identify and adapt to structural breaks and lags Factor real-world imperfections into modeling for more accurate forecasting

The past few years have shown a clear demarcation between policymakers'' forecasts and actual outcomes. As the dust settles on the Great Recession, after-effects linger—and impact our current recovery in ways that diverge from past experience and theoretical expectations. Economic Modeling in the Post Great Recession Era provides comprehensive guidance grounded in reality for today''s economic decision-makers.

Reality-based modeling for today''s unique economic recovery

Economic Modeling in the Post Great Recession Era presents a more realistic approach to modeling, using direct statistical applications to address the characteristics and trends central to current market behaviors. This book''s unique focus on the reality of today''s markets makes it an invaluable resource for students and practitioners seeking a comprehensive guide to more accurate forecasting. While most books treat the economy as if it were in a vacuum, building models around idealized or perception-biased behaviors, this book deals with the economy as it currently stands—in a state of recovery, limited by financial constraints, imperfect information, and lags and disparities in price movements. The authors identify how these characteristics impact various markets'' behaviors, and quantify those behaviors using SAS as the primary statistical tool.

Today''s economy bears a number of unique attributes that usual modeling methods fail to consider. This book describes how to approach modeling based on real-world, observable data in order to make better-informed decisions in today''s markets.

Discover the three economic characteristics with the greatest impact on various markets Create economic models that mirror the current post-recession reality Adopt statistical methods that identify and adapt to structural breaks and lags Factor real-world imperfections into modeling for more accurate forecasting

The past few years have shown a clear demarcation between policymakers'' forecasts and actual outcomes. As the dust settles on the Great Recession, after-effects linger—and impact our current recovery in ways that diverge from past experience and theoretical expectations. Economic Modeling in the Post Great Recession Era provides comprehensive guidance grounded in reality for today''s economic decision-makers.

Effective decision making requires understanding of the underlying principles of financial markets and economics. Intellectually, economics and financial markets are genetically intertwined although when it comes to popular commentary they are treated separately. In fact, academic economic thinking appears separate from financial market equity strategy in most financial market commentary. Historically, macroeconomics tended to assume away financial frictions and financial intermediation whereas financial economists did not necessarily consider the negative macroeconomic spill overs from financial market outcomes. In more recent years, the economic discipline has gone through a serious self-reflection after the global crisis. This book explores the interplay between financial markets and macroeconomic outcomes with a conceptual framework that combines the actions of investors and individuals. Of interest to graduate students and those professionals working in the financialmarkets, it provides insight into why market prices move and credit markets interact and what factors participants and policy makers can monitor to anticipate market change and future price paths.​

Effective decision making requires understanding of the underlying principles of financial markets and economics. Intellectually, economics and financial markets are genetically intertwined although when it comes to popular commentary they are treated separately. In fact, academic economic thinking appears separate from financial market equity strategy in most financial market commentary. Historically, macroeconomics tended to assume away financial frictions and financial intermediation whereas financial economists did not necessarily consider the negative macroeconomic spill overs from financial market outcomes.

In more recent years, the economic discipline has gone through a serious self-reflection after the global crisis. This book explores the interplay between financial markets and macroeconomic outcomes with a conceptual framework that combines the actions of investors and individuals. Of interest to graduate students and those professionals working in the financialmarkets, it provides insight into why market prices move and credit markets interact and what factors participants and policy makers can monitor to anticipate market change and future price paths.

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