Forecast comparisons in unstable environments
By R. Giacomini, Barbara Rossi. 2010
434 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/8876341d94f3021cfcec05962d328fadfa8bf1f7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Marco Lippi
- M. Forni
- Kenneth S. Rogoff
- Tilmann Gneiting
- Joseph P. Byrne
- Pinho J. Ribeiro
- Barbara Rossi
- Dimitris Korobilis
In Finance
- Kenneth S. Rogoff
- Tilmann Gneiting
- Marco Lippi
- Dimitris Korobilis
- Joseph P. Byrne
- Pinho J. Ribeiro
- Barbara Rossi
- D. Ferraro
In Management Science and Operations Research
- W. Ehm
- Fabian Krüger
- Alexander I. Jordan
- Tilmann Gneiting
- Kenneth S. Rogoff
- Dimitris Korobilis
- Pinho J. Ribeiro
- Joseph P. Byrne
Citations in the corpus
- Out-of-Sample Forecast Tests Robust to the Choice of Window Size (2011, neutral): “This article is closely related to the works by Pesaran and Timmermann (2007) and Clark and McCracken (2009), and more distantly related to Pesaran, Pettenuzzo, and Timmermann (2006) and Giacomini and Rossi (2010).”
- Macroeconomic forecast accuracy in a data‐rich environment (2019, positive): “Following the Monte Carlo results in Giacomini and Rossi (2010), the moving average of the standardized difference of MSPEs is produced with a 162-month window, which corresponds to 30% of the out-of-sample period.”
- Advances in Forecasting Under Instability (2012, positive): “…based on assessing the expected loss of some forecast relative 12 2010b) focus on the relative evaluation of two models.12 In particular, Giacomini and Rossi (2010a) test the null hypothesis: E ( Lj+h) = 0; 8t = R; :::; T; (11) They introduce two classes of methods, which depend on…”
- Of quantiles and expectiles: consistent scoring functions, Choquet representations and forecast rankings (2015, methodology): “For this, we have implemented the fluctuation test of Giacomini and Rossi (2010), using elementary scores as loss functions, with values θ in the centre of the support of the predictand.”
- Dynamic factor model with infinite‐dimensional factor space: Forecasting (2016, background): “and factor-based forecasts has been studied and discussed in Stock and Watson (2002a), D’Agostino et al.”
- Exchange Rate Predictability (2013, positive): “We report results based on the Giacomini and Rossi (2010) and the Inoue and Rossi (2012) tests in Figures 1 to 6.”
- Can Oil Prices Forecast Exchange Rates (2011, positive): “Predictive ability, when it exists, is unstable over time (see Rossi, 2006, and Giacomini and Rossi, 2010).”
- On the sources of uncertainty in exchange rate predictability (2018, positive): “Notes: The Figure shows the Giacomini and Rossi’s (2010) one-sided Fluctuation test (Ft-test) based on DMW-test for the BMA including TVar-Coeffs and the BMA excluding TVar-Coeffs.”