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Computer Sciences & Mathematics Forum, Volume 11, Issue 1

ITISE 2025 2025 - 36 articles

The 11th International Conference on Time Series and Forecasting

Canaria, Spain | 16–18 July 2025

Volume Editors:

Olga Valenzuela, University of Granada, Granada, Spain

Fernando Rojas, University of Granada, Granada, Spain

Luis Javier Herrera, University of Granada, Granada, Spain

Hector Pomares, University of Granada, Granada, Spain

Ignacio Rojas, University of Granada, Granada, Spain

Cover Story: The 11th International conference on Time Series and Forecasting (ITISE-2025) was held in Gran Canaria, Spain, over 16–18 July 2025. ITISE 2025 was an international conference focused on advancements in time series analysis and forecasting. It promoted interdisciplinary collaboration, highlighting the importance of econometrics in understanding economic behavior and improving prediction accuracy. The event fostered academic exchange, supported young researchers, and emphasized practical applications, model interpretability, and trust. It aimed to bridge theory and practice, encouraging global cooperation to address complex, data-driven challenges across various sectors. ITISE 2025 solicited high-quality original research papers on any aspect related to time series analysis, econometrics and forecasting.
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Articles (36)

  • Proceeding Paper
  • Open Access
447 Views
12 Pages

Analyzing and Classifying Time-Series Trends in Medals

  • Minfei Liang,
  • Yu Gao and
  • Eugene Pinsky

Since the 19th century, the development of metallurgical technology has been influenced by various factors, such as materials, casting technology, political policies, and the economic development of different countries. This paper aims to analyze the...

  • Proceeding Paper
  • Open Access
251 Views
8 Pages

Monitoring Multidimensional Risk in the Economy

  • Alexander Tyrsin,
  • Michail Gerasimov and
  • Michael Beer

In economics, risk analysis is often associated with certain difficulties. These include the presence of several correlated risk factors, non-stationarity of economic processes, and small data samples. A mathematical model of multidimensional risk is...

  • Proceeding Paper
  • Open Access
494 Views
13 Pages

Inclusive Turnout for Equitable Policies: Using Time Series Forecasting to Combat Policy Polarization

  • Natasya Liew,
  • Sreeya R. K. Haninatha,
  • Sarthak Pattnaik,
  • Kathleen Park and
  • Eugene Pinsky

Selective voter mobilization dominates U.S. elections, with campaigns prioritizing swing voters to win critical states. While effective for a short-term period, this strategy deepens policy polarization, marginalizes minorities, and undermines repres...

  • Proceeding Paper
  • Open Access
1,169 Views
11 Pages

This paper explores the forecasting of aluminum prices using various predictive models dealing with variable uncertainty. A diverse set of economic and market indicators is considered as potential price predictors. The performance of models including...

  • Proceeding Paper
  • Open Access
405 Views
10 Pages

This study analyzes the evolution of the Mexico–U.S. trade balance as a seasonally adjusted time series, comparing the Hodrick–Prescott (HP) filter and wavelet analysis. The HP filter allowed the trend and cycle to be extracted from the series, while...

  • Proceeding Paper
  • Open Access
808 Views
11 Pages

Fundamentals of Time Series Analysis in Electricity Price Forecasting

  • Ciaran O’Connor,
  • Andrea Visentin and
  • Steven Prestwich

Time series forecasting is a cornerstone of decision-making in energy and finance, yet many studies fail to rigorously analyse the underlying dataset characteristics, leading to suboptimal model selection and unreliable outcomes. This paper addresses...

  • Proceeding Paper
  • Open Access
1,024 Views
9 Pages

Leveraging Exogenous Regressors in Demand Forecasting

  • S M Ahasanul Karim,
  • Bahram Zarrin and
  • Niels Buus Lassen

Demand forecasting is different from traditional forecasting because it is a process of forecasting multiple time series collectively. It is challenging to implement models that can generalise and perform well while forecasting many time series altog...

  • Proceeding Paper
  • Open Access
460 Views
10 Pages

Oil, as a key commodity in international markets, bears an importance for both producers and consumers. For oil-exporting countries, periodic fluctuations have a considerable impact on the economic status and the way monetary and fiscal policies shou...

  • Proceeding Paper
  • Open Access
496 Views
13 Pages

Natural dynamical systems can often display various long-term behaviours, ranging from entirely predictable decaying states to unpredictable, chaotic regimes or, more interestingly, highly correlated and intricate states featuring emergent phenomena....

  • Proceeding Paper
  • Open Access
371 Views
9 Pages

This study investigates the behavior of South African stock prices during divestment periods using mixture distributions. Divestment often triggers significant market reactions, necessitating a deeper understanding of stock return distributions in su...

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Comput. Sci. Math. Forum - ISSN 2813-0324