Hans Amman, William A. Barnett, Fredj Jawadi, Marco Tucci
{"title":"Complexity, nonlinearity and high frequency financial data modeling: lessons from computational approaches","authors":"Hans Amman, William A. Barnett, Fredj Jawadi, Marco Tucci","doi":"10.1007/s10479-025-06809-z","DOIUrl":"10.1007/s10479-025-06809-z","url":null,"abstract":"<div><p>This editorial introduces the special issue Complexity, Nonlinearity and High Frequency Financial Data Modeling: Lessons from Computational Approaches in <i>Annals of Operations Research</i>, which brings together 19 contributions exploring advanced methods and applications in the analysis of financial markets. The collected works reflect the growing importance of complexity and nonlinear dynamics in understanding modern financial systems, marked by high volatility, interdependence, and structural shifts. The papers are organized thematically into five main areas: (i) complexity and nonlinearity in financial markets, (ii) advanced forecasting and econometric modeling, (iii) network theory, causality, and information flows, (iv) banking, credit risk, and economic growth, and (v) continuous-time and structural model reviews. There is an additional section on methodological innovations, which include time–frequency and multi-scale analysis, recent developments of nonlinear and regime-switching models, machine learning, and complex network approaches. A heartfelt tribute is dedicated to the late Marco Tucci, co-editor of this special issue, whose vision and scholarly contributions significantly shaped its content. Sadly, Marco passed away while we were in the process of compiling this special issue. The editorial concludes by highlighting common methodological threads, synthesizing key insights, and outlining promising avenues for future research in complexity-informed financial modeling.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"352 3","pages":"353 - 358"},"PeriodicalIF":4.5,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MCDA in climate, technology and finance: integrating decision making and traditional OR with data science and AI","authors":"Panos Xidonas","doi":"10.1007/s10479-025-06810-6","DOIUrl":"10.1007/s10479-025-06810-6","url":null,"abstract":"","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"353 1","pages":"1 - 2"},"PeriodicalIF":4.5,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145184113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A framework for expected capability sets","authors":"Nicolas Fayard, David Ríos Insua, Alexis Tsoukiàs","doi":"10.1007/s10479-025-06793-4","DOIUrl":"10.1007/s10479-025-06793-4","url":null,"abstract":"<div><p>This paper addresses decision-aiding problems involving multiple objectives and uncertain states of the world. Inspired by the capability approach, we focus on cases where a policy maker chooses an act that, combined with a state of the world, leads to a set of choices for citizens. While no preferential information is available to construct importance parameters for the criteria, we can obtain probabilities for the different states. To effectively support decision-aiding in this context, we propose two procedures that merge the potential set of choices for each state of the world taking into account their respective probabilities. Our procedures satisfy several fundamental and desirable propositions that characterize the outcomes.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"353 1","pages":"93 - 119"},"PeriodicalIF":4.5,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145184114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Supply chain low-carbon R&D strategy considering carbon tax under the sustainable development goals","authors":"Jiasen Sun, Pengpeng Yuan, Guo Li","doi":"10.1007/s10479-025-06775-6","DOIUrl":"10.1007/s10479-025-06775-6","url":null,"abstract":"<div><p>Reducing carbon emissions in the manufacturing sector is an important pathway to achieving sustainable development goals (SDGs). Anchored in SDG 13, this study focuses on the operational and low-carbon research and development (R&D) issues faced by firms in a supply chain, comprising one supplier and one manufacturer, in two scenarios: cooperative decision making and independent decision making. The independent decision-making scenario is classified into three modes: supplier-independent R&D, manufacturer-independent R&D, and two firms simultaneously R&D. First, this study evaluates the various modes with regard to unit abatement levels, corporate profits, environmental impact, and consumer surplus. Next, the analysis investigates the influence of carbon tax and R&D cost coefficient on equilibrium strategy. Our findings indicate that under the cooperative mode, when the cost coefficient is below a certain threshold, a high carbon tax can effectively incentivize both firms to increase their carbon reduction efforts, thereby enhancing the overall profitability of the supply chain and advancing the achievement of the SDG 13. The simultaneous independent R&D can enable all parties to obtain a high unit abatement level than when a single firm conducts independent R&D. In addition, the simultaneous R&D mode of two firms can generate higher profits and consumer surplus than the R&D mode of a single firm, and can bring higher total supply chain profits than the cooperative mode when the R&D cost is low. After extending modes to the case where the two firms cooperate only in the field of R&D, this study finds that the unit abatement level reaches the maximum.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"352 1-2","pages":"295 - 324"},"PeriodicalIF":4.5,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Competitive balance in the UEFA Champions League group stage: Novel measures show no evidence of decline","authors":"László Csató, Dóra Gréta Petróczy","doi":"10.1007/s10479-025-06780-9","DOIUrl":"10.1007/s10479-025-06780-9","url":null,"abstract":"<div><p>Competitive balance, which refers to the level of control teams have over a sports competition, is a crucial indicator for tournament organisers. According to previous studies, competitive balance has significantly declined in the UEFA Champions League group stage over the recent decades. Our paper introduces alternative indices to investigate this issue. Two ex ante measures are based on Elo ratings, and four dynamic concentration indicators compare the final group ranking to reasonable benchmarks. Using these indices, we find no evidence of any long-run trend in the competitive balance of the UEFA Champions League group stage between the 2003/04 and 2023/24 seasons.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"352 1-2","pages":"105 - 120"},"PeriodicalIF":4.5,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-025-06780-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohan Chaudhry, A. D. Banik, Soumyajit Dev, Sitaram Barik
{"title":"A simple derivation of the waiting-time distribution (in the queue) for the bulk-service (M/G^{(a,b)}/1) queueing system","authors":"Mohan Chaudhry, A. D. Banik, Soumyajit Dev, Sitaram Barik","doi":"10.1007/s10479-025-06765-8","DOIUrl":"10.1007/s10479-025-06765-8","url":null,"abstract":"<div><p>This paper deals with a Poisson input infinite-buffer single-server queue, where the arrivals occur in singles and the server serves the customers in batches. The server serves customers in batches of maximum size “<i>b</i>” with a minimum threshold size “<i>a</i>”. The service time of each batch follows general distribution (including heavy-tailed distribution) independent of each other as well as of the arrival process. The probability generating function (pgf) of the queue-length distributions at an arbitrary epoch as well as at a post-departure epoch of a batch have been derived using the embedded Markov chain and the argument of the rate-in and rate-out principle. The Laplace-Stieltjes transform (LST) of the actual waiting-time distribution (in the queue) of a random customer has also been derived using functional relation between pgf’s. The proposed analysis is based on the roots of the characteristic equation associated with the LST of the waiting-time distribution (in the queue) of a random customer. Using LSTs, the closed-form expressions for the probability density functions and for an arbitrary number of moments of the waiting-time distributions have been presented. We have also done numerical implementation of this procedure for the case of a bulk service infinite-buffer queueing model, and obtained the probability density function for waiting-time distribution of a random customer in the queue.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"352 1-2","pages":"1 - 24"},"PeriodicalIF":4.5,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sergio Pérez-Peló, Anna Martínez-Gavara, Jesús Sánchez-Oro, Ana D. López-Sánchez
{"title":"A multistart variable neighborhood descent metaheuristic for the board packing problem","authors":"Sergio Pérez-Peló, Anna Martínez-Gavara, Jesús Sánchez-Oro, Ana D. López-Sánchez","doi":"10.1007/s10479-025-06787-2","DOIUrl":"10.1007/s10479-025-06787-2","url":null,"abstract":"<div><p>The Board Packing Problem (BoPP) considers a rectangular board divided in cells with <i>m</i> rows and <i>n</i> columns. In this problem, a subset from a set of rectangles with different costs may be allocated on the cells, and in turns, each cell has an associated revenue obtained if a rectangle is placed on it. The objective of the BoPP is to allocate rectangles on the board, covering cells in order to maximize the total profit, measured as the revenues of the selected cells where the rectangle is placed minus the cost of purchasing such rectangles. The revenue of a cell is collected only once, and only if a rectangle is covering the cell. We propose a Variable Neighborhood Descent (VND) approach for solving the BoPP. Two constructive procedures are proposed for generating the initial solution for the VND: a totally greedy approach and a greedy randomized method to favor diversity. The experimental comparison analyses the contribution of each component of the final algorithm and then performs a competitive testing to evaluate the performance of the algorithm when comparing it with the best method found in the state of the art. The superiority of the proposal is supported by non-parametric statistical tests.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"352 1-2","pages":"193 - 216"},"PeriodicalIF":4.5,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Low-carbon innovation with government subsidy for achieving SDGs in a complementary supply chain","authors":"Suyuan Wang, Huaming Song, Yi Liao, Ali Diabat","doi":"10.1007/s10479-025-06786-3","DOIUrl":"10.1007/s10479-025-06786-3","url":null,"abstract":"<div>\u0000 \u0000 <p>Promoting low-carbon innovation (LCI) in firms through government subsidies has emerged as a widely-used policy instrument for achieving sustainable development, directly contributing to the United Nations Sustainable Development Goals (SDGs), including SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), SDG 12 (Responsible Consumption and Production), and SDG 13 (Climate Action). Considering a complementary supply chain consisting of a supplier and a manufacturer, where the manufacturer assembles components produced in-house and by the supplier into one final product. The government aims to enhance social welfare or LCI product innovation levels. To this end, the government has four potential subsidy strategies: supplier subsidy, manufacturer subsidy, consumer subsidy, and low-carbon infrastructure subsidy. Our research shows that first, although subsidizing low-carbon infrastructure can enhance social welfare, it offers minimal improvement in product LCI. Second, subsidies directed towards suppliers yield limited advancements in social welfare and LCI. Third, when consumers are price-sensitive, subsidizing the manufacturer can maximize both LCI and social welfare. Conversely, when consumers are LCI-sensitive, allocating subsidies toward the supplier is more beneficial. In summary, our research extends the existing literature on complementary supply chain management by identifying the optimal subsidy for the government to achieve its goals, offering tangible insights into practical pathways for realizing SDG 7, 9, 12, and 13 through targeted policy design.</p>\u0000 </div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"352 1-2","pages":"325 - 349"},"PeriodicalIF":4.5,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vehicle dispatching policies for last mile distribution in a disaster-relief supply chain network","authors":"Robert A. Cook, Emmett J. Lodree","doi":"10.1007/s10479-025-06756-9","DOIUrl":"10.1007/s10479-025-06756-9","url":null,"abstract":"<div><p>This study considers the impact of supply and demand uncertainty on last-mile distribution in a disaster-relief supply chain with multiple Staging Areas (SAs) and one Point of Distribution (POD). The SAs function as temporary warehouses for receiving and organizing relief supplies that are subsequently transported to the POD where they are distributed to meet the stochastic demands of disaster survivors. The goal of this paper is to evaluate the effectiveness of policies for dispatching vehicles from the SAs to the POD in an effort to minimize unsatisfied demand at the POD. Prior literature suggests that continuously dispatching vehicles is an effective and pragmatic policy, but it has not been tested on a relief network with multiple Staging Areas. This study establishes criteria under which continuous dispatching (CD) is an optimal policy and examines its performance through computational experiments. We solve problem instances using approximate dynamic programming since the stochastic dynamic programming model cannot be solved directly. Our findings suggest that the CD policy does not perform as well as in previous studies, but may be the best available option from a practical perspective.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"352 1-2","pages":"25 - 73"},"PeriodicalIF":4.5,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sanyukta Deshpande, Ian G. Ludden, Sheldon H. Jacobson
{"title":"Bias in the ballot: how votemandering exploits gerrymandering and campaign strategies","authors":"Sanyukta Deshpande, Ian G. Ludden, Sheldon H. Jacobson","doi":"10.1007/s10479-025-06748-9","DOIUrl":"10.1007/s10479-025-06748-9","url":null,"abstract":"<div><p>Gerrymandering—the deliberate manipulation of electoral district boundaries for political advantage—is a persistent challenge in U.S. elections. In this work, we introduce and analyze Votemandering, a strategic blend of gerrymandering and targeted political campaigning devised to gain more seats by circumventing fairness measures. Votemandering leverages accurate demographic and socio-political data, bolstered by advancements in technology and data analytics, to influence voter decisions in pursuit of subtle gerrymandering strategies. We formulate votemandering as a Mixed Integer Program (MIP) that performs fairness-constrained gerrymandering over multiple election rounds. We analyze the influence of various redistricting constraints and parameters on votemandering efficacy. We explore the interconnectedness of gerrymandering, substantial campaign budgets, and strategic campaigning, illustrating their collective potential to generate biased electoral maps. A case study of Wisconsin State Senate redistricting reveals significant votemandering potential. Our findings underscore the need for reforms in the redistricting process beyond enforcing thresholds for specific fairness metrics.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"352 1-2","pages":"121 - 168"},"PeriodicalIF":4.5,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-025-06748-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}