Motivated by the recently experienced systemic shocks (the COVID-19 pandemic and the full-fledged Russia's war of aggression against Ukraine) - that have created new forms of uncertainties to our supplies - this paper explores the supply chain robustness under risk aversion and ambiguity aversion. We aim to understand the potential consequences of deeply uncertain systemic events on the supply chain resilience and how does the information precision affect individual agents' choices and the chain-level preparedness to aggregate shocks. Augmenting a parsimonious supply chain model with uncertainty, we analyse the relationship between the upstream sourcing decisions and the supply chain survival probability. Both risk-averse and ambiguity-averse individually-optimising agents' upstream sourcing paths are efficient but can become vulnerable to aggregate shocks. In contrast, a chain-level coordination of downstream firm sourcing decisions can qualitatively improve the robustness of the entire supply chain compared to the individual decision-making baseline. Such a robust decision making ensures that in the presence of an aggregate shock - independently of its realisation - part of upstream suppliers will survive and the final goods' supply will be ensured even under the most demanding circumstances. Our results also indicate that an input source diversification extracts a cost in foregone efficiency.
{"title":"Uncertainty of Supply Chains: Risk and Ambiguity","authors":"d'Artis Kancs","doi":"arxiv-2405.03451","DOIUrl":"https://doi.org/arxiv-2405.03451","url":null,"abstract":"Motivated by the recently experienced systemic shocks (the COVID-19 pandemic\u0000and the full-fledged Russia's war of aggression against Ukraine) - that have\u0000created new forms of uncertainties to our supplies - this paper explores the\u0000supply chain robustness under risk aversion and ambiguity aversion. We aim to\u0000understand the potential consequences of deeply uncertain systemic events on\u0000the supply chain resilience and how does the information precision affect\u0000individual agents' choices and the chain-level preparedness to aggregate\u0000shocks. Augmenting a parsimonious supply chain model with uncertainty, we\u0000analyse the relationship between the upstream sourcing decisions and the supply\u0000chain survival probability. Both risk-averse and ambiguity-averse\u0000individually-optimising agents' upstream sourcing paths are efficient but can\u0000become vulnerable to aggregate shocks. In contrast, a chain-level coordination\u0000of downstream firm sourcing decisions can qualitatively improve the robustness\u0000of the entire supply chain compared to the individual decision-making baseline.\u0000Such a robust decision making ensures that in the presence of an aggregate\u0000shock - independently of its realisation - part of upstream suppliers will\u0000survive and the final goods' supply will be ensured even under the most\u0000demanding circumstances. Our results also indicate that an input source\u0000diversification extracts a cost in foregone efficiency.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140883086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sid Bhatia, Samuel Gedal, Himaya Jeyakumar Grace Lee, Ravinder Chopra, Daniel Roman, Shrijani Chakroborty
This paper examines the dynamics of the cryptocurrency market and proposes a novel blockchain-based protocol for real estate transactions. Our analysis includes a detailed review of price trends, volatility, and correlations within the cryptocurrency market, focusing on major assets like Bitcoin, Ethereum, and Tether. We provide a critical assessment of the impact of significant market events, such as the FTX bankruptcy, highlighting the vulnerabilities and resilience of the crypto market. The study also explores the potential of blockchain technology to innovate real estate transactions by enabling the secure and transparent handling of property deeds without traditional intermediaries. We introduce a blockchain protocol that reduces transaction costs, enhances security, and increases transparency, making real estate transactions more accessible and efficient. Our proposal aims to leverage the inherent benefits of blockchain to address real-world challenges in real estate transactions, providing a scalable and secure platform for property sales in a global market.
{"title":"Crypto Market Analysis & Real-Estate Business Protocol Proposal | Application of Ethereum Blockchain","authors":"Sid Bhatia, Samuel Gedal, Himaya Jeyakumar Grace Lee, Ravinder Chopra, Daniel Roman, Shrijani Chakroborty","doi":"arxiv-2405.02547","DOIUrl":"https://doi.org/arxiv-2405.02547","url":null,"abstract":"This paper examines the dynamics of the cryptocurrency market and proposes a\u0000novel blockchain-based protocol for real estate transactions. Our analysis\u0000includes a detailed review of price trends, volatility, and correlations within\u0000the cryptocurrency market, focusing on major assets like Bitcoin, Ethereum, and\u0000Tether. We provide a critical assessment of the impact of significant market\u0000events, such as the FTX bankruptcy, highlighting the vulnerabilities and\u0000resilience of the crypto market. The study also explores the potential of\u0000blockchain technology to innovate real estate transactions by enabling the\u0000secure and transparent handling of property deeds without traditional\u0000intermediaries. We introduce a blockchain protocol that reduces transaction\u0000costs, enhances security, and increases transparency, making real estate\u0000transactions more accessible and efficient. Our proposal aims to leverage the\u0000inherent benefits of blockchain to address real-world challenges in real estate\u0000transactions, providing a scalable and secure platform for property sales in a\u0000global market.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140883082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper introduces a novel multi-moment connectedness network approach for analyzing the interconnectedness of green financial market. Focusing on the impact of monetary policy shocks, our study reveals that connectedness within the green bond and equity markets varies with different moments (returns, volatility, skewness, and kurtosis) and changes significantly around Federal Open Market Committee (FOMC) events. Static analysis shows a decrease in connectedness with higher moments, while dynamic analysis highlights increased sensitivity to event-driven shocks. We find that both tight and loose monetary policy shocks initially elevate connectedness within the first six months. However, the effects of tight shocks gradually fade, whereas loose shocks may reduce connectedness after one year. These results offer insight to policymakers in regulating sustainable economies and investment managers in strategizing asset allocation and risk management, especially in environmentally focused markets. Our study contributes to understanding the complex dynamics of the green financial market in response to monetary policies, helping in decision-making for sustainable economic development and financial stability.
{"title":"Monetary Policies on Green Financial Markets: Evidence from a Multi-Moment Connectedness Network","authors":"Tingguo Zheng, Hongyin Zhang, Shiqi Ye","doi":"arxiv-2405.02575","DOIUrl":"https://doi.org/arxiv-2405.02575","url":null,"abstract":"This paper introduces a novel multi-moment connectedness network approach for\u0000analyzing the interconnectedness of green financial market. Focusing on the\u0000impact of monetary policy shocks, our study reveals that connectedness within\u0000the green bond and equity markets varies with different moments (returns,\u0000volatility, skewness, and kurtosis) and changes significantly around Federal\u0000Open Market Committee (FOMC) events. Static analysis shows a decrease in\u0000connectedness with higher moments, while dynamic analysis highlights increased\u0000sensitivity to event-driven shocks. We find that both tight and loose monetary\u0000policy shocks initially elevate connectedness within the first six months.\u0000However, the effects of tight shocks gradually fade, whereas loose shocks may\u0000reduce connectedness after one year. These results offer insight to\u0000policymakers in regulating sustainable economies and investment managers in\u0000strategizing asset allocation and risk management, especially in\u0000environmentally focused markets. Our study contributes to understanding the\u0000complex dynamics of the green financial market in response to monetary\u0000policies, helping in decision-making for sustainable economic development and\u0000financial stability.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140883087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ayse D. Lokmanoglu, Carol K. Winkler, Kareem El Damanhoury, Virginia Massignan, Esteban Villa-Turek, Keyu Alexander Chen
With globalization's rise, economic interdependence's impacts have become a prominent factor affecting personal lives, as well as national and international dynamics. This study examines RT's public diplomacy efforts on its non-Russian Facebook accounts over the past five years to identify the prominence of economic topics across language accounts. Computational analysis, including word embeddings and statistical methods, investigates how offline economic indicators, like currency values and oil prices, correspond to RT's online economic content changes. The results demonstrate that RT uses message reinforcement associated economic topics as an audience targeting strategy and differentiates their use with changing currency and oil values.
{"title":"The Economy and Public Diplomacy: An Analysis of RT's Economic Content and Context on Facebook","authors":"Ayse D. Lokmanoglu, Carol K. Winkler, Kareem El Damanhoury, Virginia Massignan, Esteban Villa-Turek, Keyu Alexander Chen","doi":"arxiv-2405.01798","DOIUrl":"https://doi.org/arxiv-2405.01798","url":null,"abstract":"With globalization's rise, economic interdependence's impacts have become a\u0000prominent factor affecting personal lives, as well as national and\u0000international dynamics. This study examines RT's public diplomacy efforts on\u0000its non-Russian Facebook accounts over the past five years to identify the\u0000prominence of economic topics across language accounts. Computational analysis,\u0000including word embeddings and statistical methods, investigates how offline\u0000economic indicators, like currency values and oil prices, correspond to RT's\u0000online economic content changes. The results demonstrate that RT uses message\u0000reinforcement associated economic topics as an audience targeting strategy and\u0000differentiates their use with changing currency and oil values.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140883089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wolfgang Seiringer, Balwin Bokor, Klaus Altendorfer
Selecting the appropriate production planning and control systems (PPCS) presents a significant challenge for many companies, as their performance, i.e. overall costs, depends on the production system environment. Key environmental characteristics include the system's structure, i.e. flow shop, hybrid shop, or job shop, and the planned shop load. Besides selecting a suitable PPCS, its parameterization significantly influences the performance. This publication investigates the performance and the optimal parametrization of Material Requirement Planning (MRP), Reorder Point System (RPS) and Constant Work In Progress (ConWIP) at different stochastic multi-item multi-stage production system environments by conduction a comprehensive full factorial simulation study. The results indicate that MRP and ConWIP generally outperform RPS in all observed environments. Moreover, when comparing MRP with ConWIP, the performance clearly varies depending on the specific production system environment.
{"title":"Evaluating Production Planning and Control Systems in Different Environments: A Comparative Simulation Study","authors":"Wolfgang Seiringer, Balwin Bokor, Klaus Altendorfer","doi":"arxiv-2405.02015","DOIUrl":"https://doi.org/arxiv-2405.02015","url":null,"abstract":"Selecting the appropriate production planning and control systems (PPCS)\u0000presents a significant challenge for many companies, as their performance, i.e.\u0000overall costs, depends on the production system environment. Key environmental\u0000characteristics include the system's structure, i.e. flow shop, hybrid shop, or\u0000job shop, and the planned shop load. Besides selecting a suitable PPCS, its\u0000parameterization significantly influences the performance. This publication\u0000investigates the performance and the optimal parametrization of Material\u0000Requirement Planning (MRP), Reorder Point System (RPS) and Constant Work In\u0000Progress (ConWIP) at different stochastic multi-item multi-stage production\u0000system environments by conduction a comprehensive full factorial simulation\u0000study. The results indicate that MRP and ConWIP generally outperform RPS in all\u0000observed environments. Moreover, when comparing MRP with ConWIP, the\u0000performance clearly varies depending on the specific production system\u0000environment.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140883132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Balwin Bokor, Wolfgang Seiringer, Klaus Altendorfer, Thomas Felberbauer
In response to the escalating need for sustainable manufacturing practices amid fluctuating energy prices, this study introduces a novel dispatching rule that integrates energy price and workload considerations with Material Requirement Planning (MRP) to optimize production logistics and energy costs. The dispatching rule effectively adjusts machine operational states, i.e. turn the machine on or off, based on current energy prices and workload. By developing a stochastic multi-item multi-stage job shop simulation model, this research evaluates the performance of the dispatching rule through a comprehensive full-factorial simulation. Findings indicate a significant enhancement in shop floor decision-making through reduced costs. Moreover, the analysis of the Pareto front reveals trade-offs between minimizing energy and production logistics costs, aiding decision-makers in selecting optimal configurations.
{"title":"Energy Price and Workload Related Dispatching Rule: Balancing Energy and Production Logistics Costs","authors":"Balwin Bokor, Wolfgang Seiringer, Klaus Altendorfer, Thomas Felberbauer","doi":"arxiv-2405.02445","DOIUrl":"https://doi.org/arxiv-2405.02445","url":null,"abstract":"In response to the escalating need for sustainable manufacturing practices\u0000amid fluctuating energy prices, this study introduces a novel dispatching rule\u0000that integrates energy price and workload considerations with Material\u0000Requirement Planning (MRP) to optimize production logistics and energy costs.\u0000The dispatching rule effectively adjusts machine operational states, i.e. turn\u0000the machine on or off, based on current energy prices and workload. By\u0000developing a stochastic multi-item multi-stage job shop simulation model, this\u0000research evaluates the performance of the dispatching rule through a\u0000comprehensive full-factorial simulation. Findings indicate a significant\u0000enhancement in shop floor decision-making through reduced costs. Moreover, the\u0000analysis of the Pareto front reveals trade-offs between minimizing energy and\u0000production logistics costs, aiding decision-makers in selecting optimal\u0000configurations.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140883133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agent-based models (ABMs) are simulation models used in economics to overcome some of the limitations of traditional frameworks based on general equilibrium assumptions. However, agents within an ABM follow predetermined, not fully rational, behavioural rules which can be cumbersome to design and difficult to justify. Here we leverage multi-agent reinforcement learning (RL) to expand the capabilities of ABMs with the introduction of fully rational agents that learn their policy by interacting with the environment and maximising a reward function. Specifically, we propose a 'Rational macro ABM' (R-MABM) framework by extending a paradigmatic macro ABM from the economic literature. We show that gradually substituting ABM firms in the model with RL agents, trained to maximise profits, allows for a thorough study of the impact of rationality on the economy. We find that RL agents spontaneously learn three distinct strategies for maximising profits, with the optimal strategy depending on the level of market competition and rationality. We also find that RL agents with independent policies, and without the ability to communicate with each other, spontaneously learn to segregate into different strategic groups, thus increasing market power and overall profits. Finally, we find that a higher degree of rationality in the economy always improves the macroeconomic environment as measured by total output, depending on the specific rational policy, this can come at the cost of higher instability. Our R-MABM framework is general, it allows for stable multi-agent learning, and represents a principled and robust direction to extend existing economic simulators.
{"title":"Simulating the economic impact of rationality through reinforcement learning and agent-based modelling","authors":"Simone Brusatin, Tommaso Padoan, Andrea Coletta, Domenico Delli Gatti, Aldo Glielmo","doi":"arxiv-2405.02161","DOIUrl":"https://doi.org/arxiv-2405.02161","url":null,"abstract":"Agent-based models (ABMs) are simulation models used in economics to overcome\u0000some of the limitations of traditional frameworks based on general equilibrium\u0000assumptions. However, agents within an ABM follow predetermined, not fully\u0000rational, behavioural rules which can be cumbersome to design and difficult to\u0000justify. Here we leverage multi-agent reinforcement learning (RL) to expand the\u0000capabilities of ABMs with the introduction of fully rational agents that learn\u0000their policy by interacting with the environment and maximising a reward\u0000function. Specifically, we propose a 'Rational macro ABM' (R-MABM) framework by\u0000extending a paradigmatic macro ABM from the economic literature. We show that\u0000gradually substituting ABM firms in the model with RL agents, trained to\u0000maximise profits, allows for a thorough study of the impact of rationality on\u0000the economy. We find that RL agents spontaneously learn three distinct\u0000strategies for maximising profits, with the optimal strategy depending on the\u0000level of market competition and rationality. We also find that RL agents with\u0000independent policies, and without the ability to communicate with each other,\u0000spontaneously learn to segregate into different strategic groups, thus\u0000increasing market power and overall profits. Finally, we find that a higher\u0000degree of rationality in the economy always improves the macroeconomic\u0000environment as measured by total output, depending on the specific rational\u0000policy, this can come at the cost of higher instability. Our R-MABM framework\u0000is general, it allows for stable multi-agent learning, and represents a\u0000principled and robust direction to extend existing economic simulators.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140883088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xian Gong, Paul X. McCarthy, Marian-Andrei Rizoiu, Paolo Boldi
In this paper we use for the first time a systematic approach in the study of harmonic centrality at a Web domain level, and gather a number of significant new findings about the Australian web. In particular, we explore the relationship between economic diversity at the firm level and the structure of the Web within the Australian domain space, using harmonic centrality as the main structural feature. The distribution of harmonic centrality values is analyzed over time, and we find that the distributions exhibit a consistent pattern across the different years. The observed distribution is well captured by a partition of the domain space into six clusters; the temporal movement of domain names across these six positions yields insights into the Australian Domain Space and exhibits correlations with other non-structural characteristics. From a more global perspective, we find a significant correlation between the median harmonic centrality of all domains in each OECD country and one measure of global trust, the WJP Rule of Law Index. Further investigation demonstrates that 35 countries in OECD share similar harmonic centrality distributions. The observed homogeneity in distribution presents a compelling avenue for exploration, potentially unveiling critical corporate, regional, or national insights.
{"title":"Harmony in the Australian Domain Space","authors":"Xian Gong, Paul X. McCarthy, Marian-Andrei Rizoiu, Paolo Boldi","doi":"arxiv-2404.10006","DOIUrl":"https://doi.org/arxiv-2404.10006","url":null,"abstract":"In this paper we use for the first time a systematic approach in the study of\u0000harmonic centrality at a Web domain level, and gather a number of significant\u0000new findings about the Australian web. In particular, we explore the\u0000relationship between economic diversity at the firm level and the structure of\u0000the Web within the Australian domain space, using harmonic centrality as the\u0000main structural feature. The distribution of harmonic centrality values is\u0000analyzed over time, and we find that the distributions exhibit a consistent\u0000pattern across the different years. The observed distribution is well captured\u0000by a partition of the domain space into six clusters; the temporal movement of\u0000domain names across these six positions yields insights into the Australian\u0000Domain Space and exhibits correlations with other non-structural\u0000characteristics. From a more global perspective, we find a significant\u0000correlation between the median harmonic centrality of all domains in each OECD\u0000country and one measure of global trust, the WJP Rule of Law Index. Further\u0000investigation demonstrates that 35 countries in OECD share similar harmonic\u0000centrality distributions. The observed homogeneity in distribution presents a\u0000compelling avenue for exploration, potentially unveiling critical corporate,\u0000regional, or national insights.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140616869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdul Haris, Muhammad Munawir Syarif, Hamed Narolla, Rachmat Hidayat
This study aims to develop a framework for multicriteria analysis to evaluate alternatives for sustainable corn agricultural area planning, considering the integration of ecological, economic, and social aspects as pillars of sustainability. The research method uses qualitative and quantitative approaches to integrate ecological, economic, and social aspects in the multicriteria analysis. The analysis involves land evaluation, subcriteria identification, and data integration using Multidimensional Scaling and Analytical Hierarchy Process methods to prioritize developing sustainable corn agricultural areas. Based on the results of the RAP-Corn analysis, it indicates that the ecological dimension depicts less sustainability. The AHP results yield weight distribution and highly relevant scores that describe tangible preferences. Priority directions are grouped as strategic steps toward achieving the goals of sustainable corn agricultural area planning.
{"title":"Multicriteria Analysis Model in Sustainable Corn Farming Area Planning","authors":"Abdul Haris, Muhammad Munawir Syarif, Hamed Narolla, Rachmat Hidayat","doi":"arxiv-2404.01782","DOIUrl":"https://doi.org/arxiv-2404.01782","url":null,"abstract":"This study aims to develop a framework for multicriteria analysis to evaluate\u0000alternatives for sustainable corn agricultural area planning, considering the\u0000integration of ecological, economic, and social aspects as pillars of\u0000sustainability. The research method uses qualitative and quantitative\u0000approaches to integrate ecological, economic, and social aspects in the\u0000multicriteria analysis. The analysis involves land evaluation, subcriteria\u0000identification, and data integration using Multidimensional Scaling and\u0000Analytical Hierarchy Process methods to prioritize developing sustainable corn\u0000agricultural areas. Based on the results of the RAP-Corn analysis, it indicates\u0000that the ecological dimension depicts less sustainability. The AHP results\u0000yield weight distribution and highly relevant scores that describe tangible\u0000preferences. Priority directions are grouped as strategic steps toward\u0000achieving the goals of sustainable corn agricultural area planning.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140577633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recently, a couple of investigations related to symmetry breaking phenomena, 'spontaneous stochasticity' and 'ergodicity breaking' have led to significant impacts in a variety of fields related to the stochastic processes such as economics and finance. We investigate on the origins and effects of those original symmetries in the action from the mathematical and the effective field theory points of view. It is naturally expected that whenever the system respects any symmetry, it would be spontaneously broken once the system falls into a vacuum state which minimizes an effective action of the dynamical system.
{"title":"Methods of Stochastic Field Theory in Non-Equilibrium Systems -- Spontaneous Symmetry Breaking of Ergodicity","authors":"Tatsuru Kikuchi","doi":"arxiv-2404.01333","DOIUrl":"https://doi.org/arxiv-2404.01333","url":null,"abstract":"Recently, a couple of investigations related to symmetry breaking phenomena,\u0000'spontaneous stochasticity' and 'ergodicity breaking' have led to significant\u0000impacts in a variety of fields related to the stochastic processes such as\u0000economics and finance. We investigate on the origins and effects of those\u0000original symmetries in the action from the mathematical and the effective field\u0000theory points of view. It is naturally expected that whenever the system\u0000respects any symmetry, it would be spontaneously broken once the system falls\u0000into a vacuum state which minimizes an effective action of the dynamical\u0000system.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140577418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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