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Forecasting, Volume 5, Issue 2

2023 June - 8 articles

Cover Story: In today’s world, company performance measured by advanced economic value is a significant financial management problem. Traditional one-factor models with Gaussian distribution and point prediction are usually insufficient. Correct probability distribution forecasting is a necessary assumption for successful performance. Therefore, an advanced approach is proposed based on the multi-factor exact pyramid decomposed function combined with inverse Gaussian distribution, t-copula interdependencies, skew t-regression estimation of financial ratios as well as using the simulation Monte Carlo forecasting method. The proposed model is verified on automotive sector data from a small open economy. Precision distribution tests confirmed the superiority of the decomposed approach by comparing it with a one-factor prediction for particular data. View this paper
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Articles (8)

  • Article
  • Open Access
2 Citations
3,852 Views
12 Pages

On the Disagreement of Forecasting Model Selection Criteria

  • Evangelos Spiliotis,
  • Fotios Petropoulos and
  • Vassilios Assimakopoulos

20 June 2023

Forecasters have been using various criteria to select the most appropriate model from a pool of candidate models. This includes measurements on the in-sample accuracy of the models, information criteria, and cross-validation, among others. Although...

  • Article
  • Open Access
24 Citations
5,998 Views
15 Pages

20 June 2023

This study analyzes the transmission of market uncertainty on key European financial markets and the cryptocurrency market over an extended period, encompassing the pre-, during, and post-pandemic periods. Daily financial market indices and price obs...

  • Article
  • Open Access
3 Citations
2,616 Views
19 Pages

29 May 2023

The paper is focused on predicting the financial performance of a small open economy with an automotive industry with an above-standard share. The paper aims to predict the probability distribution of the decomposed relative economic value-added meas...

  • Article
  • Open Access
4,240 Views
10 Pages

Solving Linear Integer Models with Variable Bounding

  • Elias Munapo,
  • Joshua Chukwuere and
  • Trust Tawanda

We present a technique to solve the linear integer model with variable bounding. By using the continuous optimal solution of the linear integer model, the variable bounds for the basic variables are approximated and then used to calculate the optimal...

  • Article
  • Open Access
3,477 Views
19 Pages

19 April 2023

Subnational jurisdictions, compared to the apparatuses of countries and large institutions, have less resources and human capital available to carry out an updated conjunctural follow-up of the economy (nowcasting) and for generating economic predict...

  • Article
  • Open Access
2 Citations
4,232 Views
19 Pages

17 April 2023

Climate change is considered one of the biggest challenges around the globe as it has been causing alterations in hydrological extremes. Climate change and variability have an impact on future streamflow conditions, water quality, and ecological bala...

  • Article
  • Open Access
8 Citations
3,829 Views
15 Pages

Short-Term Probabilistic Load Forecasting in University Buildings by Means of Artificial Neural Networks

  • Carla Sahori Seefoo Jarquin,
  • Alessandro Gandelli,
  • Francesco Grimaccia and
  • Marco Mussetta

13 April 2023

Understanding how, why and when energy consumption changes provides a tool for decision makers throughout the power networks. Thus, energy forecasting provides a great service. This research proposes a probabilistic approach to capture the five inher...

  • Article
  • Open Access
4 Citations
5,813 Views
16 Pages

27 March 2023

The price of oil is nowadays a hot topic as it affects many areas of the world economy. The price of oil also plays an essential role in how the economic situation is currently developing (such as the COVID-19 pandemic, inflation and others) or the p...

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Forecasting - ISSN 2571-9394