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Categorical Forecasts and Non-Categorical Loss Functions
Bürgi, Constantin - 2020
This paper introduces a new test of the predictive performance and market timing for categorical forecasts based on contingency tables when the user has non-categorical loss functions. For example, a user might be interested in the return of an underlying variable instead of just the direction....
Persistent link: https://www.econbiz.de/10012834366
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Quantifying Qualitative Survey Data : New Insights on the (Ir)Rationality of Firms' Forecasts
Botsis, Alexandros - 2020
Using a novel dataset that contains qualitative firm survey data on sales forecasts as well as balance-sheet data on realized sales, we document that only major forecast errors are predictable and display autocorrelation. This result is a particular violation of the Full Information Rational...
Persistent link: https://www.econbiz.de/10012839767
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Real-Time Forecasting Using Mixed-Frequency Vars with Time-Varying Parameters
Heinrich, Markus - 2020
expert forecasts and show that the MF-TVP-SV-VAR delivers better inflation nowcasts in this regard. Using an optimal …
Persistent link: https://www.econbiz.de/10012842676
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Should Faustmann Forecast Climate Change?
Gars, Johan - 2019
Climate change is predicted to substantially alter forest growth. Optimally, forest owners should take these future changes into account when making rotation decisions today. However, the fundamental uncertainty surrounding climate change makes predicting these shifts hard. Hence, this paper...
Persistent link: https://www.econbiz.de/10012866409
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Rising to the Challenge : Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models
Delli Gatti, Domenico - 2019
We propose two novel methods to "bring ABMs to the data". First, we put forward a new Bayesian procedure to estimate the numerical values of ABM parameters that takes into account the time structure of simulated and observed time series. Second, we propose a method to forecast aggregate time...
Persistent link: https://www.econbiz.de/10012860573
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Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity
Lahiri, Kajal; Peng, Huaming; Sheng, Xuguang - 2021
We have argued that from the standpoint of a policy maker who has access to a number of expert forecasts, the uncertainty of a combined forecast should be interpreted as that of a typical forecaster randomly drawn from the pool. With a standard factor decomposition of a panel of forecasts, we...
Persistent link: https://www.econbiz.de/10013251262
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Selective Attention in Exchange Rate Forecasting
Kapounek, Svatopluk; Kučerová, Zuzana; Kočenda, Evžen - 2021
We analyze the exchange rate forecasting performance under the assumption of selective attention. Although currency markets react to a variety of different information, we hypothesize that market participants process only a limited amount of information. Our analysis includes more than 100,000...
Persistent link: https://www.econbiz.de/10013245625
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Inefficiency in Social Security Trust Funds Forecasts
Lahiri, Kajal; Zhang, Junyan; Zhao, Yongchen - 2021
We examine forecast accuracy and efficiency of the Social Security Administration’s projections for cost rate, trust fund balance, trust fund ratio made during 1980-2020 with horizons up to 95 years. We find that the reported deterioration in the accuracy of the forecasts during 2010’s has...
Persistent link: https://www.econbiz.de/10013313449
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News Media vs. FRED-MD for Macroeconomic Forecasting
Ellingsen, Jon; Larsen, Vegard; Thorsrud, Leif Anders - 2021
Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on U.S. GDP,...
Persistent link: https://www.econbiz.de/10013315147
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Forecasting Inflation with a Zero Lower Bound or Negative Interest Rates : Evidence from Point and Density Forecasts
Anderl, Christina; Caporale, Guglielmo Maria - 2022
This paper investigates the predictive power of the shadow rate for the inflation rate in countries with a zero lower … parameters we compare the out-of-sample forecasting performance of an inflation model including a shadow rate interaction term … inflation rate are evaluated. The models including the shadow rate interaction term are found to outperform the benchmark ones …
Persistent link: https://www.econbiz.de/10013292499