{"title":"企业和市场特征如何影响机场的Beta风险?","authors":"Tobias Binz","doi":"10.1177/1783591720941678","DOIUrl":null,"url":null,"abstract":"I present a graphical framework based on Subrahmanyam and Thomadakis (1980) that allows to study the impact from firm and market characteristics on systematic risk associated with the return on capital, i.e. Beta risk, for utilities under price control. Within this framework, Beta risk is driven by the magnitude of profit fluctuations following demand shocks. The framework is then applied to airport firm characteristics and airport market environment features. I find that the frequency of price control resets, the level of operating leverage, the extent of capacity constraints, and the degree of market power all have an unambiguous effect on the level of Beta risk. The scope of the regulatory perimeter and the type of traffic mix may also affect Beta risk; however, the magnitude and direction of their impact rely on the specifics of the case. The article may assist policy makers to formulate economically sound recommendations on how the regulatory rate of return for airport operators should be determined. Specifically, my findings suggest criteria that can be used to choose adequate peer companies of comparable systematic risk.","PeriodicalId":38329,"journal":{"name":"Competition and Regulation in Network Industries","volume":"21 1","pages":"297 - 312"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1783591720941678","citationCount":"1","resultStr":"{\"title\":\"How do firm and market characteristics affect airports’ Beta risk?\",\"authors\":\"Tobias Binz\",\"doi\":\"10.1177/1783591720941678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"I present a graphical framework based on Subrahmanyam and Thomadakis (1980) that allows to study the impact from firm and market characteristics on systematic risk associated with the return on capital, i.e. Beta risk, for utilities under price control. Within this framework, Beta risk is driven by the magnitude of profit fluctuations following demand shocks. The framework is then applied to airport firm characteristics and airport market environment features. I find that the frequency of price control resets, the level of operating leverage, the extent of capacity constraints, and the degree of market power all have an unambiguous effect on the level of Beta risk. The scope of the regulatory perimeter and the type of traffic mix may also affect Beta risk; however, the magnitude and direction of their impact rely on the specifics of the case. The article may assist policy makers to formulate economically sound recommendations on how the regulatory rate of return for airport operators should be determined. Specifically, my findings suggest criteria that can be used to choose adequate peer companies of comparable systematic risk.\",\"PeriodicalId\":38329,\"journal\":{\"name\":\"Competition and Regulation in Network Industries\",\"volume\":\"21 1\",\"pages\":\"297 - 312\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/1783591720941678\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Competition and Regulation in Network Industries\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/1783591720941678\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Competition and Regulation in Network Industries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1783591720941678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
How do firm and market characteristics affect airports’ Beta risk?
I present a graphical framework based on Subrahmanyam and Thomadakis (1980) that allows to study the impact from firm and market characteristics on systematic risk associated with the return on capital, i.e. Beta risk, for utilities under price control. Within this framework, Beta risk is driven by the magnitude of profit fluctuations following demand shocks. The framework is then applied to airport firm characteristics and airport market environment features. I find that the frequency of price control resets, the level of operating leverage, the extent of capacity constraints, and the degree of market power all have an unambiguous effect on the level of Beta risk. The scope of the regulatory perimeter and the type of traffic mix may also affect Beta risk; however, the magnitude and direction of their impact rely on the specifics of the case. The article may assist policy makers to formulate economically sound recommendations on how the regulatory rate of return for airport operators should be determined. Specifically, my findings suggest criteria that can be used to choose adequate peer companies of comparable systematic risk.