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Investor behavior can explain to some extent the stock market anomalies from a psychological viewpoint. Recent literature suggests a lot of models without testing predictability implied by the models and without a discussion of implications and limitations that are implied by the design. Mostly, these models are descriptive. In these designs, the question about relevant normative models is left aside. In this paper we propose a normative model that allows empirical testing of whether the way investors should behave given the information is useful in making judgments in financial markets. Contrary to most papers, we apply individual priors to form a judgment about the future price change of each asset at each point in time. These priors are considered as the expert opinion and are given by the one-year conensus forecast of earnings yield as provided by analysts. This design allows tests of the predictions for a normative setting using actual market data. Comparing Bayes' rule to a decisions by a price trader, we find that economic loss is lower for the price trader than for the Bayesian trader under several specifications. However, using expert information in the Bayes' rule leads to better predictions for stocks that do not have high-risk characteristics.
In this report, ADB has lowered its forecasts for economic growth in developing Asia and the Pacific to 4.3% in 2022 and 4.9% in 2023, amid mounting challenges. Its theme chapter looks at how digital entrepreneurship spurs growth and innovation. The region’s economy is expected to grow 4.3% this year, compared with ADB’s projection in April of a 5.2% expansion, while the growth forecast for next year is lowered to 4.9% from 5.3%. The downward revisions have been driven by increased monetary tightening by central banks, fallout from the protracted Russian invasion of Ukraine, and recurrent COVID-19 lockdowns in the People's Republic of China. Inflation in developing Asia this year is likely to reach 4.5%, up from ADB’s earlier projection of 3.7%. The forecast for 2023 is 4.0%, up from 3.1%. While inflation in the region remains lower than elsewhere, supply disruptions continue to push up food and fuel prices. The report's theme chapter looks at the role of entrepreneurship in achieving inclusive growth, and how governments in the region can create a more enabling environment for digital entrepreneurs
Revenue and expenditure forecasting plays an important role in public budgeting and financial management, particularly during times of financial constraint, when citizens impose greater accountability upon government to use taxpayer dollars more efficiently. Despite its significance, revenue and expenditure forecasting is often overlooked in the budget process, and there is an imbalance between practice and research in this area. Based on the collaboration of budget scholars and practitioners, Government Budget Forecasting fulfills two purposes: Enhances the understanding of revenue and expenditure estimation both theoretically and practically Stimulates dialogue and debate among practitioners and academicians to identify good forecast practices as well as areas for improvement Divided into four parts, this comprehensive reference first examines forecast practices at the federal, state, and local levels, drawing on case studies that include California, Texas, and Louisiana. It then explores consensus systems and risk assessment, considering political factors and the costs of forecast errors. The text concludes with a call to transparency and guidance from a code of ethics, and a look at forecasting practices in emerging countries.
Governments play a critical role in the economies of Europe and Central Asia, where government expenditures are close to 40 percent of gross domestic product and the public sector accounts for nearly 27 percent of total employment, which is almost twice the global average. The public sector often attracts some of the best educated workers in the region. And support for a larger public sector is increasing due to aging populations and their growing health care and long-term care needs, rising inequality and greater support for redistribution, and increasing expenditures as governments address the challenges posed by the COVID-19 crisis. The significant role that government plays underscores the importance of the quality of governance in determining productivity and growth and effectively responding to the region’s economic and social challenges. Digital technology and the data revolution offer the potential to increase efficiency, transparency, responsiveness, and citizen trust, directly impacting the quality of government. Across the world, the quality of government is increasingly informed by the extent to which governments harness digital tools and GovTech to optimize management, service delivery, and overall state capacity. Technology and data are also key for fostering collaboration between governments and civil society to improve public sector efficiency and service delivery. The COVID-19 pandemic has highlighted the costs associated with delaying digitalization and GovTech implementation and the opportunities that lie in public sector modernization.
We examine the behavior of forecasts for real GDP growth using a large panel of individual forecasts from 30 advanced and emerging economies during 1989–2010. Our main findings are as follows. First, our evidence does not support the validity of the sticky information model (Mankiw and Reis, 2002) for describing the dynamics of professional growth forecasts. Instead, the empirical evidence is more in line with implications of "noisy" information models (Woodford, 2002; Sims, 2003). Second, we find that information rigidities are more pronounced in emerging economies than advanced economies. Third, there is evidence of nonlinearities in forecast smoothing. It is less pronounced in the tails of the distribution of individual forecast revisions than in the central part of the distribution.
Inflation is regarded by the many as a menace that damages business and can only make life worse for households. Keeping it low depends critically on ensuring that firms and workers expect it to be low. So expectations of inflation are a key influence on national economic welfare. This collection pulls together a galaxy of world experts (including Roy Batchelor, Richard Curtin and Staffan Linden) on inflation expectations to debate different aspects of the issues involved. The main focus of the volume is on likely inflation developments. A number of factors have led practitioners and academic observers of monetary policy to place increasing emphasis recently on inflation expectations. One is the spread of inflation targeting, invented in New Zealand over 15 years ago, but now encompassing many important economies including Brazil, Canada, Israel and Great Britain. Even more significantly, the European Central Bank, the Bank of Japan and the United States Federal Bank are the leading members of another group of monetary institutions all considering or implementing moves in the same direction. A second is the large reduction in actual inflation that has been observed in most countries over the past decade or so. These considerations underscore the critical – and largely underrecognized - importance of inflation expectations. They emphasize the importance of the issues, and the great need for a volume that offers a clear, systematic treatment of them. This book, under the steely editorship of Peter Sinclair, should prove very important for policy makers and monetary economists alike.