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    RISK MANAGEMENT PRACTICES IN THE AIRLINE INDUSTRY by Sharon Fernando PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF ARTS In the Faculty of Business Administration Financial Risk Management O Sharon Fernando 2006 SIMON FRASER UNIVERSITY Summer 2006 All rights reserved. This work may not be reproduced in whole or in part‚ by photocopy or other means‚ without permission of the author. APPROVAL Name: Sharon Fernando Degree: Master of Arts Title of Project:

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    MGT489 Industry Analysis of US airlines Industry Structure US airlines have been improved substantially over past few years | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013(Q1) | On-time arrival rate (% of domestic flights within 00:15) | 73.4 | 76 | 79.5 | 79.8 | 79.6 | 81.9 | 80.01 | Involuntary denied boardings (per 10000 passengers) | 1.12 | 1.10 | 1.19 | 1.09 | 0.82 | 0.99 | 1.06 | Mishandled bags (per 1000 passengers) | 7.05 | 5.26 | 3.91 | 3.57 | 3.39 | 3.09 | 3.15 | Flight

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    Airline Industry Competitive Structure The market structure of the Airline industry consists of a few corporations making its market structure an oligopoly. The airline industry is very volatile to changes in oil prices and can lead to fare increases and reducing overall profits. In 2011 for example jet fuel cost was at 2.84 a gallon up 243% from 1995 adjusted with inflation. In addition to what the current market is charging for a barrel of oil airlines have to deal with the “crack spread”‚ which

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    production industries‚ such as manufacturing and mining. However‚ there has been an increasing interest in the environmental effects of the service industry (Goedkoop‚ van Halen‚ te Riele‚ & Rommens‚ 1998). And this industry comprises a variety of activities‚ from restaurants to hospitals to financial institutions. The service industry merits its attention because of its large size and consequently the potential for environmental impacts (both negative and positive). And one of the service industries that

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    Dynamic Pricing in the Airline Industry R. Preston McAfee and Vera te Velde California Institute of Technology Abstract: Dynamic price discrimination adjusts prices based on the option value of future sales‚ which varies with time and units available. This paper surveys the theoretical literature on dynamic price discrimination‚ and confronts the theories with new data from airline pricing behavior. Correspondence to: R. Preston McAfee‚ 100 Baxter Hall‚ California Institute of Technology‚

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    Airline Industry SWOT Analysis A SWOT analysis--a review of strengths‚ weaknesses‚ opportunities‚ and threats--is a core requirement of any organization‚ and essential to understand any industry. The volatile airline industry is no exception. While individual airlines each analyze and make decisions based on their own situations‚ there are overall industry similarities that all airlines face‚ with each endeavoring to maximize strengths and opportunities while minimizing weaknesses and threats

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    External Factors: Oportunities * Acquisitions * Asset leverage * Financial markets (raise money through debt‚ etc) * Emerging markets and expansion abroad * Innovation * Online * Product and services expansion * Membership of any airline alliance will help to increase reach via code share agreements * Leverage on association with coffee company like Starbucks to provide onboard coffee by creating awareness in all coffee outlets * International flights and global expansion * Potential

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    Airline industry value chain Inbound logistics Primary activites • Stock control – airlines must store and handle fuel‚ food‚ and drinks. Stock is managed to ensure reductions in stock turnover‚ thus reducing costs and wastage. • Route selection – airlines must choose their flight routes. These will be selected upon desired routes‚ and deals negotiated with the airports. Airports are selected for their prime location‚ to allow consumers to get to their desired location. This then entails the

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    The Prisoners’ Dilemma in the airplane industry Games of Strategy Home Assignment Tamás Seres Introduction 3 The Prisoners’ Dilemma 3 An Oligopolistic market: 5 The Case Study 6 Conclusion 8 References: 8 Introduction In today’s world the Prisoners’ Dilemma is a common phenomenon in business‚ politics and in social life as well. This paper will analyze a real life example. It will describe the airplane manufacturing industry and their two giant manufacturers: Airbus

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    second largest economy of the New York City. Immigration has had a strong impact over the Queens economy. Culturally this is the diverse populated borough of New York where around half of the population is consisting of foreign born residents. The airline industry is a major factor of the borough economy and is a main employer in the neighborhoods around JFK and LaGuardia airports. Health care and social assistance employment is also playing important role in Queens’s economy. Queens County has out-performed

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