Littérature scientifique sur le sujet « Airlines – Competitions – Econometric models »

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Articles de revues sur le sujet "Airlines – Competitions – Econometric models"

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Kiracı, Kasım. "Determinants of Financial Risk: An Empirical Application on Low-Cost Carriers." Scientific Annals of Economics and Business 66, no. 3 (2019): 335–49. http://dx.doi.org/10.47743/saeb-2019-0025.

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The airline industry has entered a rapid development and transformation process, especially after the Second World War. In this process, it is seen that the market structure changed and many private airlines were established. Due to increased competition, airlines have begun to follow various strategies and business models in order to gain a competitive advantage over each other. One of the business models successfully applied recently is the low-cost business model. Therefore, this study focuses on airline companies that applied the low-cost business model. The study aims to reveal the factor
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BARANOVA, Nina M., Sergei N. LARIN, and Dar'ya S. LOGINOVA. "Modeling the influence of intellectual potential on innovative development of PAO Aeroflot – Russian Airlines." Economic Analysis: Theory and Practice 20, no. 10 (2021): 1897–913. http://dx.doi.org/10.24891/ea.20.10.1897.

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Subject. The article investigates the innovative development of Aeroflot Group and analyzes the impact of factors of intellectual potential. Objectives. The purpose is to investigate the development of intellectual potential of Aeroflot Group by selected indicators, determine their impact on the innovative development of the company, and increase its competitiveness. Methods. We studied the works of Russian and foreign scientists, performed a regression analysis and econometric modeling on the basis of statistical data from the annual reports of Aeroflot Group for 2005–2020. To create economet
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Gasparetto, Thadeu, and Angel Barajas. "Economic effects of promotion and relegation in parallel competitions." Economics and Business Letters 11, no. 1 (2022): 7–15. http://dx.doi.org/10.17811/ebl.11.1.2022.7-15.

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Previous research evidence some negative effects after league relegations. However, these works focused only on domestic league figures, overlooking that football clubs play in simultaneous tournaments. Therefore, the effects of relegation in a domestic league on those simultaneous championships remain unclear. Our dataset comprises twenty men’s Brazilian State Championships from 2013 to 2017. Panel Data Ordinary Least Squares models are employed as econometric techniques. The results suggest that the promotions to the second tier of the Brazilian League increase both attendance and revenues o
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Abdelghany, Ahmed, Khaled Abdelghany, and Ching-Wen Huang. "An integrated reinforced learning and network competition analysis for calibrating airline itinerary choice models with constrained demand." Journal of Revenue and Pricing Management 20, no. 3 (2021): 227–47. http://dx.doi.org/10.1057/s41272-021-00309-y.

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Sun, Xiaoqian, Sebastian Wandelt, and Anming Zhang. "Aviation under the COVID-19 pandemic: A synopsis from normalcy to chaos and back." Journal of the Air Transport Research Society 1, no. 1 (2023): 136–51. http://dx.doi.org/10.59521/8f3eeb54038c692e.

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Since the outbreak of the COVID-19 pandemic early in the year 2020, the aviation system has been under extreme pressure for more than two years, with many stakeholders anticipating the moment of recovery. In Summer 2022, eventually, many airlines reached profit margins again. Several airlines even reported to outperform pre-pandemic indicators, including the number of passengers and quarterly revenues. Accordingly, one could say that 2022 is part of the new normalcy in our global aviation system. In this study, we investigate the changes in the global aviation, comparing the year 2019 as a pre
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Srinidhi, S., and Ajay K. Manrai. "International air transport demand: drivers and forecasts in the Indian context." Journal of Modelling in Management 9, no. 3 (2014): 245–60. http://dx.doi.org/10.1108/jm2-08-2013-0036.

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Purpose – This paper aims to provide a framework for the airlines to forecast demand, specifically on international routes operated from major metros of the USA and position their services by designing the service positioning matrix. Major benefits include route contemplation, effective fleet scheduling, decisions on aircraft and fuel purchases and developing optimal fare policies. Much effort has been directed to developing forecasts of air transport demand, particularly by airline companies and professional bodies in the air transport industry. However, detailed analysis of the characteristi
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Sushko, O. P., and N. D. Koryagin. "Modelling of Passenger Air Transportation Prices." World of Transport and Transportation 20, no. 5 (2023): 54–63. http://dx.doi.org/10.30932/1992-3252-2022-20-5-7.

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The pricing policy of airlines is developed based on a retrospective analysis of the price dynamics of air transportation and forecasting the market situation of supply and demand. The price dynamics of passenger air transportation has a certain structure and patterns, the identification of which helps to develop a competitive price offer for consumers.The objective of the work is to determine the structure of price dynamics and identify patterns of price fluctuations in passenger air transportation from 2008 to 2022, which is important to consider when developing the pricing policy of airline
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La, Jiezhuoma, and Iryna Heiets. "THE IMPACT OF DIGITALIZATION AND INTELLIGENTIZATION ON AIR TRANSPORTATION SYSTEM." Aviation 25, no. 3 (2021): 159–70. http://dx.doi.org/10.3846/aviation.2021.15336.

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This study aims to provide insights into the impact levels of digitalization and intelligentization on air transport system (ATS) in Australia, China, the US, and India. Air transport system is one of the most efficient transport systems which contains three elements: air traffic control, airport, and airlines. In modern society, the importance of digitalization and intelligentization in ATS is attached to by publics. In this study, firstly, comparative analysis is used to analyze the different states of digitalization and intelligentization level and air transport system in sample countries.
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Shirur, Srinivas. "Are Managers Measuring the Financial Risk in the Right Manner? An Exploratory Study." Vikalpa: The Journal for Decision Makers 38, no. 2 (2013): 81–94. http://dx.doi.org/10.1177/0256090920130205.

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The basic problem with corporate finance is that it deals with the fundamental analysis issues while the tools used are those applicable for technical analysis. That is the reason why finance managers often arrive at wrong decisions which snowball into issues like the subprime crisis. Initially, Markowitz model was used to calculate risk for portfolio management. It gave importance only to systematic risk as unsystematic risk could be avoided through diversification. Later on, CAPM model was developed for corporate finance and project finance for calculation of risk. Finance models dealing wit
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Castillo-Apraiz, Julen, Raúl Gómez-Martínez, and Jesús Manuel Palma-Ruiz. "Football clubs’ social awareness as a leading strategy for performance: A fan token-based panel data analysis." Cuadernos de Gestión 25, no. 1 (2025): 37–54. https://doi.org/10.5295/cdg.242230jp.

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This paper analyses the extent to which football clubs’ emotional value —fan token-based— is related to economic value—share-based. Specifically, this research investigates the relationship between fan tokens and stock prices in European football clubs, aiming to discern fan engagement’s impact on financial market dynamics. We posit that fan token values are significantly linked to the valuation of clubs’ stocks. To assess this, a panel data analysis employing econometric models is conducted on six prominent football clubs that regularly participate in European competitions. The study period c
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Thèses sur le sujet "Airlines – Competitions – Econometric models"

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NERO, Giovanni. "Intra-European airline competition : a theoretical and an empirical analysis." Doctoral thesis, 1996. http://hdl.handle.net/1814/5018.

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Defence date: 26 February 1996<br>Examining Board: Prof. David Encaoua, University of Paris I ; Prof. Ulrich Kohli, University of Geneva ; Prof. Stephen Martin, University of Copenhagen and EUI ; Prof. Jacques Pavaux, University of Toulouse ; Prof. Louis Phlips, EUI, Supervisor<br>First made available online: 7 September 2016
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"Growth, competitions and strategies in the air transport industry in Pearl River Delta of China." 2008. http://library.cuhk.edu.hk/record=b5893637.

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Xu, Fang.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2008.<br>Includes bibliographical references (leaves 75-79).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgement --- p.ii<br>Chapter 1 --- Introduction --- p.1<br>Chapter 2 --- Background Information --- p.3<br>Chapter 2.1 --- Growth of Air-Transportation Industry --- p.3<br>Chapter 2.1.1 --- General Figures --- p.3<br>Chapter 2.1.2 --- Growth of Air Cargo Market --- p.3<br>Chapter 2.1.3 --- Regulatory Support --- p.5<br>Chapter 2.2 --- The Focus: Pearl River Delta --- p.6<br>Chapter 2.2.1 --- Stra
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Livres sur le sujet "Airlines – Competitions – Econometric models"

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Borenstein, Severin. How airlines market work...or do they?: Regulatory reform in the airline industry. National Bureau of Economic Research, 2007.

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Borenstein, Severin. How airlines market work...or do they?: Regulatory reform in the airline industry. National Bureau of Economic Research, 2007.

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Borenstein, Severin. Competition and price dispersion in the U.S. airline industry. Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1991.

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Borenstein, Severin. Competition and price dispersion in the U.S. airline industry. National Bureau of Economic Research, 1991.

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Whinston, Michael Dennis. Entry, contestability, and deregulated airline markets: An event study analysis of People Express. National Bureau of Economic Research, 1990.

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Berry, Steven. Airline hubs: Costs, markups and the implications of customer heterogeneity. National Bureau of Economic Research, 1996.

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Escobari, Diego. Price dispersion under costly capacity and demand uncertainty. National Bureau of Economic Research, 2007.

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Escobari, Diego. Price dispersion under costly capacity and demand uncertainty. National Bureau of Economic Research, 2007.

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Hamermesh, Daniel S. A general model of dynamic labor demand. National Bureau of Economic Research, 1990.

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Good, David H. The structure of production, technical change, and efficiency in a multinational industry: An application to U.S. airlines. National Bureau of Economic Research, 1991.

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