Browsing by Subject "Survey forecasts"

Now showing 1 - 3 of 3
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    Assessing uncertainty in Europe and the US : is there a common factor?
    (2012) Sauter, Oliver
    This paper aims an empirical investigation of uncertainty in the Euro Zone as well as the US. For this purpose I conduct a factor analysis of uncertainty measures starting in 2001 until the end of 2011. I use survey-based data provided by the ECB and the Federal Reserve Bank of Philadelphia as well as the stock market indices VSTOXX and VIX, both measures of implied volatility of stock market movements. Each measure shows an increase in uncertainty during the last years marked by the financial turmoil. Given the rise in uncertainty, the question arises whether this uncertainty is driven by the same underlying factors. For the Euro Zone, I show that uncertainty can be separated into factors of short and long-term uncertainty. In the US there is a sharp distinction between uncertainty that drives stock market and ?real? variables on the one hand and inflation (short and long-term) on the other hand. Combining both data sets, factor analysis delivers (1) an international stock market factor, (2) a common European uncertainty factor and (3) an US-inflation uncertainty factor.
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    Testing forecast rationality for measures of central tendency
    (2020) Schmidt, Patrick W.; Patton, Andrew J.; Dimitriadis, Timo
    Rational respondents to economic surveys may report as a point forecast any measure of the central tendency of their (possibly latent) predictive distribution, for example the mean, median, mode, or any convex combination thereof. We propose tests of forecast rationality when the measure of central tendency used by the respondent is unknown. We overcome an identification problem that arises when the measures of central tendency are equal or in a local neighborhood of each other, as is the case for (exactly or nearly) symmetric distributions. As a building block, we also present novel tests for the rationality of mode forecasts. We apply our tests to survey forecasts of individual income, Greenbook forecasts of U.S. GDP, and random walk forecasts for exchange rates. We find that the Greenbook and random walk forecasts are best rationalized as mean, or near-meanforecasts, while the income survey forecasts are best rationalized as mode forecasts.
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    The camp view of inflation forecasts
    (2009) Schmid, Kai Daniel; Sauter, Oliver; Geiger, Felix
    Analyzing sample moments of survey forecasts, we derive disagreement and un- certainty measures for the short- and medium term inflation outlook. The latter provide insights into the development of inflation forecast uncertainty in the context of a changing macroeconomic environment since the beginning of 2008. Motivated by the debate on the role of monetary aggregates and cyclical variables describing a Phillips-curve logic, we develop a macroeconomic indicator spread which is assumed to drive forecasters? judgments. Empirical evidence suggests procyclical dynamics between disagreement among forecasters, individual forecast uncertainty and the macro-spread. We call this approach the camp view of inflation forecasts and show that camps form up whenever the spread widens.