The Value of Theoretical Models for Real-World Market Analysis

2015 ◽  
Author(s):  
Maryam Khan
Keyword(s):  
Real World ◽  
Theoretical Models ◽  
World Market ◽  
Market Analysis

scholarly journals The robustness of reciprocity: Experimental evidence that each form of reciprocity is robust to the presence of other forms of reciprocity

2020 ◽  
Vol 6 (23) ◽  
pp. eaba0504
Author(s):  
David Melamed ◽  
Brent Simpson ◽  
Jered Abernathy
Keyword(s):  
Social Networks ◽  
Prosocial Behavior ◽  
Experimental Evidence ◽  
Real World ◽  
Strong Support ◽  
Theoretical Models ◽  
Current Understanding ◽  
The Real ◽  
Topological Features

Prosocial behavior is paradoxical because it often entails a cost to one’s own welfare to benefit others. Theoretical models suggest that prosociality is driven by several forms of reciprocity. Although we know a great deal about how each of these forms operates in isolation, they are rarely isolated in the real world. Rather, the topological features of human social networks are such that people are often confronted with multiple types of reciprocity simultaneously. Does our current understanding of human prosociality break down if we account for the fact that the various forms of reciprocity tend to co-occur in nature? Results of a large experiment show that each basis of human reciprocity is remarkably robust to the presence of other bases. This lends strong support to existing models of prosociality and puts theory and research on firmer ground in explaining the high levels of prosociality observed in human social networks.

scholarly journals Optimization of Supplier Development under Market Dynamics

2020 ◽  
Vol 2020 ◽  
pp. 1-18 ◽  
Author(s):  
Haniyeh Dastyar ◽  
Daniel Rippel ◽  
Michael Freitag
Keyword(s):  
Real World ◽  
World Market ◽  
Market Dynamics ◽  
Optimization Approach ◽  
Use Case ◽  
Supplier Development ◽  
Development Programs ◽  
Real World Data ◽  
Dynamic Markets

Over the last decades, supplier development has become an increasingly important concept to remain competitive in today’s markets. Therefore, manufacturers invest resources in their suppliers to increase their abilities and, ultimately, to reduce their product prices. Thereby, most approaches found in the literature focus on long-term supplier development programs. Nevertheless, today’s volatile and dynamic markets require flexible approaches to deal with this complexity. We apply Model Predictive Control to optimize the number of supplier development projects in order to achieve flexibility while maintaining a certain level of security for all parties. Thereby, the article focusses on a multimanufacturer scenario, where two manufacturers aim to develop the same supplier. These manufacturers can establish different levels of horizontal collaboration. While previous results already show the benefits of applying this approach to a static scenario, this article extends this formulation by introducing market dynamics in the numerical simulations as well as into the optimization approach. Thus, the article proposes to derive regression models using real-world data. The article evaluates the effects of real-world market dynamics on two use cases: an automotive use case and a use case from the mobile phone sector. The results show that assuming market dynamics during the optimization leads to increased or at least close-to-equal revenues across the involved partners. The average increase ranges from approximately 1% to 5% depending on the type and magnitude of the dynamics. Thereby, the results differ depending on the selected collaboration scheme. While a full-cooperative collaboration scheme benefits the least from regarding dynamics in the optimization, it results in the highest overall revenue across all partners.

(Dis-)honesty: Measuring overcharging in a real-world market

2015 ◽  
Vol 57 ◽  
pp. 98-102 ◽  
Author(s):  
Julian Conrads ◽  
Felix Ebeling ◽  
Sebastian Lotz
Keyword(s):  
Real World ◽  
World Market

scholarly journals Optimal resilience of modular interacting networks

2021 ◽  
Vol 118 (22) ◽  
pp. e1922831118
Author(s):  
Gaogao Dong ◽  
Fan Wang ◽  
Louis M. Shekhtman ◽  
Michael M. Danziger ◽  
Jingfang Fan ◽  
...  
Keyword(s):  
Phase Transition ◽  
Functional Properties ◽  
Real World ◽  
Theoretical Models ◽  
Network Resilience ◽  
World Systems ◽  
Optimal Point ◽  
Exact Location ◽  
Modular Networks ◽  
Interacting Networks

Coupling between networks is widely prevalent in real systems and has dramatic effects on their resilience and functional properties. However, current theoretical models tend to assume homogeneous coupling where all the various subcomponents interact with one another, whereas real-world systems tend to have various different coupling patterns. We develop two frameworks to explore the resilience of such modular networks, including specific deterministic coupling patterns and coupling patterns where specific subnetworks are connected randomly. We find both analytically and numerically that the location of the percolation phase transition varies nonmonotonically with the fraction of interconnected nodes when the total number of interconnecting links remains fixed. Furthermore, there exists an optimal fraction r* of interconnected nodes where the system becomes optimally resilient and is able to withstand more damage. Our results suggest that, although the exact location of the optimal r* varies based on the coupling patterns, for all coupling patterns, there exists such an optimal point. Our findings provide a deeper understanding of network resilience and show how networks can be optimized based on their specific coupling patterns.

Prediction Skills of Real-World Market Timers

CFA Digest ◽  
1997 ◽  
Vol 27 (4) ◽  
pp. 45-46
Author(s):  
Laurie Effron
Keyword(s):  
Real World ◽  
World Market

scholarly journals Reverse Skyline Computation over Sliding Windows

2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Junchang Xin ◽  
Zhiqiong Wang ◽  
Mei Bai ◽  
Guoren Wang
Keyword(s):  
Real World ◽  
Data Streams ◽  
Experimental Studies ◽  
Market Analysis ◽  
Skyline Queries ◽  
Sliding Windows ◽  
Real World Applications ◽  
Data Points ◽  
Pruning Technique ◽  
Reverse Skyline

Reverse skyline queries have been used in many real-world applications such as business planning, market analysis, and environmental monitoring. In this paper, we investigated how to efficiently evaluate continuous reverse skyline queries over sliding windows. We first theoretically analyzed the inherent properties of reverse skyline on data streams and proposed a novel pruning technique to reduce the number of data points preserved for processing continuous reverse skyline queries. Then, an efficient approach, called Semidominance Based Reverse Skyline (SDRS), was proposed to process continuous reverse skyline queries. Moreover, an extension was also proposed to handlen-of-Nand(n1,n2)-of-Nreverse skyline queries. Our extensive experimental studies have demonstrated the efficiency as well as effectiveness of the proposed approach with various experimental settings.

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