This collection of papers analyzes the versatility and predictive power of survey expectations data in asset pricing and macroeconomic forecasting. The first paper, Using Sentiment Surveys to Predict GDP Growth and Stock Returns sheds new light on the question of whether or not sentiment...

This study sheds new light on the question of whether or not sentiment surveys, and the expectations derived from them, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to macroeconomic and financial data. I examine 16...

This paper proposes a measure of real-time inflation expectations based on metadata, i.e., data about data, constructed from internet search queries performed on the search engine Google. The forecasting performance of the Google Inflation Search Index (GISI) is assessed relative to 37 other...

In this paper, we explore how to build and test models for forecasting 1-year and 10-year returns for U.S. stocks as inputs to a strategic asset allocation process. We find that a model that forecasts value and growth indices separately best serves as a predictor for returns in the U.S. equity...

Simple surveys that ask people who they expect to win are among the most accurate methods for forecasting U.S. presidential elections. The majority of respondents correctly predicted the election winner in 193 (89%) of 217 surveys conducted from 1932 to 2012. Across the last 100 days prior to...

We investigate inflation in Poland in the period of economic transition by examining the potential application of Markov Switching Models to model the inflation generating process in Poland. The time horizon of analysis was limited to the period between March 1992 and October 2005 defined as the...

This study sheds new light on the question of whether or not sentiment surveys, and the expectations derived from them, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to macroeconomic and financial data. I examine 16...

Der Bereich Dienstleistungen macht mehr als 70% der deutschen Bruttowertschöpfung aus, jedoch ist die Konjunkturanalyse und -prognose in diesem Wirtschaftsbereich noch sehr unterentwickelt. Ein Blick in die Literatur zeigt, dass die Forschung hier noch am Anfang steht und sich bisher diesem...

In this paper, we develop a new model-based method to inference on totals and averages of nite populations segmented in planned domains or strata. Within each stratum, we decompose the total as the sum of its sampled and unsampled parts, making inference on the unsampled part using Bayesian...

Der Bereich Dienstleistungen macht mehr als 70% der deutschen Bruttowertschöpfung aus, jedoch ist die Konjunkturanalyse und -prognose in diesem Wirtschaftsbereich noch sehr unterentwickelt. Ein Blick in die Literatur zeigt, dass die Forschung hier noch am Anfang steht und sich bisher diesem...