M1 and M2 indicators- new proposed measures for the global accuracy of forecast intervals

Journal Title: Computational Methods in Social Sciences - Year 2014, Vol 2, Issue 1

Abstract

This is an original scientific paper that proposes the introduction in literature of two new accuracy indicators for assessing the global accuracy of the forecast intervals. Taking into account that there are not specific indicators for prediction intervals, point forecasts being associated to intervals, we consider an important step to propose those indicators whose function is only to identify the best method of constructing forecast intervals on a specific horizon. This research also proposes a new empirical method of building intervals for maximal appreciations of inflation rate made by SPF’s (Survey of Professional Forecasters) experts. This method proved to be better than those of the historical errors methods (those based on RMSE (root mean square error)) for the financial services providers on the horizon Q3:2012-Q2:2013 .

Authors and Affiliations

Mihaela SIMIONESCU

Keywords

Related Articles

Modelling in happiness economics

In modern times, in the context of an increasingly quantitative approach to economics, welfare has been related mostly to an economic actor’s income. With increasing complexity in social and economic life, studies moving...

Performance analysis of aodv, dsdv and aomdv using wimax in NS-2

WiMAX (IEEE 802.16 ) technology empowers ubiquitous delivery of wireless broadband facility for fixed and mobile users. WiMAX standard describes numerous physical and MAC layer characteristics.Here,...

Large-scale natural disaster analysis in European transition countries

The first aim of this study is to identify possible natural disasters and catastrophes and to summarize the state of economic literature in the domain. Further are analyzed the methodologies used for estimating the econo...

Bayesian modelling of real GDP rate in Romania

Themain objective of this study is to model and predict the real GDP rate using Bayesian approach. A Bayesian VAR (BVAR), a Bayesian linear model and switching regime Bayesian models were employed for the real GDP rate,...

The issue of statistical power for overall model fit in evaluating structural equation models

Statistical power is an important concept for psychological research. However, examining the power of a structural equation model (SEM) is rare in practice. This article provides an accessible review of th...

Download PDF file
  • EP ID EP89638
  • DOI -
  • Views 162
  • Downloads 0

How To Cite

Mihaela SIMIONESCU (2014). M1 and M2 indicators- new proposed measures for the global accuracy of forecast intervals. Computational Methods in Social Sciences, 2(1), 54-59. https://europub.co.uk/articles/-A-89638