Results 11 to 20 of about 1,834,325 (334)

Forecast with forecasts: Diversity matters [PDF]

open access: yesEuropean Journal of Operational Research, 2022
Forecast combinations have been widely applied in the last few decades to improve forecasting. Estimating optimal weights that can outperform simple averages is not always an easy task. In recent years, the idea of using time series features for forecast combination has flourished.
Yanfei Kang   +3 more
openaire   +3 more sources

Forecasting FOMC Forecasts [PDF]

open access: yesSSRN Electronic Journal, 2018
(Hendry 1980, p. 403) The three golden rules of econometrics are “test, test, and test”. The current paper applies that approach to model the forecasts of the Federal Open Market Committee over 1992–2019 and to forecast those forecasts themselves.
S. Yanki Kalfa, Jaime Marquez
openaire   +4 more sources

Forecasting Professional Forecasters [PDF]

open access: yesJournal of Business & Economic Statistics, 2006
Survey of forecasters, containing respondents' predictions of future values of growth, inflation and other key macroeconomic variables, receive a lot of attention in the financial press, from investors, and from policy makers. They are apparently widely perceived to provide useful information about agents' expectations.
Eric Ghysels, Jonathan H. Wright
openaire   +3 more sources

Using Forecasts of Forecasters to Forecast [PDF]

open access: yesSSRN Electronic Journal, 2006
Quantification techniques are popular methods in empirical research to aggregate the qualitative predictions at the micro-level into a single figure. In this paper, we analyze the forecasting performance of various methods that are based on the qualitative predictions of financial experts for major financial variables and macroeconomic aggregates ...
Nolte, Ingmar, Pohlmeier, Winfried
openaire   +2 more sources

Forecasting multiple functional time series in a group structure: an application to mortality’ [PDF]

open access: yes, 2020
When modeling sub-national mortality rates, we should consider three features: (1) how to incorporate any possible correlation among sub-populations to potentially improve forecast accuracy through multi-population joint modeling; (2) how to reconcile ...
Haberman, S., Shang, H.L.
core   +2 more sources

GEOSPATIAL PERSPECTIVE FOR POST-HARVEST INFRASTRUCTURE MANAGEMENT: POSITIONING OF NEW COLD STORAGE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
The deficiency in post-harvest infrastructure leads to loss of agricultural produce which in turn affects farmer’s income and food security. So, there is a need to improve post-harvest infrastructure in the country.
P. Vijjapu   +4 more
doaj   +1 more source

AN ANALYSIS OF NATIONAL-STATE-DISTRICT LEVEL ACREAGE AND PRODUCTION ESTIMATES OF RABI SORGHUM UNDER FASAL PROJECT [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Sorghum (Sorghum vulgare Pers.) popularly known as jowar is the most important food and fodder crop of dry land agriculture. It is generally grown in both Kharif and Rabi season, with sown area of 25.3 and 38.3 lakh ha, respectively, at National level ...
Dolly   +6 more
doaj   +1 more source

VEGETATION CONDITION INDEX: A POTENTIAL YIELD ESTIMATOR [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Early yield assessment at local, regional and national scales is a major requirement for various users such as agriculture planners, policy makers, crop insurance companies and researchers.
S. K. Dubey, A. Gavli, Neetu, S. S. Ray
doaj   +1 more source

Testing for changes in forecasting performance [PDF]

open access: yes, 2019
We consider the issue of forecast failure (or breakdown) and propose methods to assess retrospectively whether a given forecasting model provides forecasts which show evidence of changes with respect to some loss function.
Perron, Pierre, Yamamoto, Yohei
core   +1 more source

A CNN-LSTM-Based Model to Forecast Stock Prices

open access: yesComplex, 2020
Stock price data have the characteristics of time series. At the same time, based on machine learning long short-term memory (LSTM) which has the advantages of analyzing relationships among time series data through its memory function, we propose a ...
Wenjie Lu   +4 more
semanticscholar   +1 more source

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