Analysis of sector-specific operational performance metrics affecting stock prices of traditional airlines

被引:2
作者
Alici, Abdulkadir [1 ]
Sevil, Guven [2 ]
机构
[1] Necmettin Erbakan Univ, Konya, Turkey
[2] Anadolu Univ, Open Educ Fac, Eskisehir, Turkey
关键词
Airline Finance; Panel Data Analysis; Airline Stock Price; Airline Specific Operational Ratios; Airline Operational Performance; EFFICIENCY; PRODUCTIVITY; MARKET;
D O I
10.14807/ijmp.v13i2.1777
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Factors such as the country's economic situation, future prospects and the efficiency of businesses are very significant in determining the stock price, along with the demand-supply effect. In this regard, it is intended to investigate the relationship between airlines' operational performance metrics and their stock prices. Quarterly operational data of 5 traditional airlines between the period 2005-2017 were researched by panel data analysis method and operational factors (RPK, CASK, LF and OPL) determining stock prices were determined. According to the inferences from the analysis, It has been concluded that the revenue passenger kilometres (RPK) has a positive effect on the stock price. It was found that aircraft load factor (LF) variable has a negative effect on stock price. Cost per available seat kilometers (CASK) variable seems to have a negative effect on the stock price. Finally, it was found that the OPL variable positively affects the stock price. According to the results, airlines should increase operational revenue and demand to boost their stock values, besides increase aircraft load factors. Along with the increase in revenue and load factor, the decrease in unit cost and break-even load factor increase profitability and stock value of airlines.
引用
收藏
页码:488 / 506
页数:19
相关论文
共 36 条
[1]  
Arkan T., 2016, Finanse, Rynki Finansowe, Ubezpieczenia, V79, P13, DOI [DOI 10.18276/FRFU.2016.79-01, 10.18276/frfu.2016.79-01]
[2]   European vs. US airlines: Performance comparison in a dynamic market [J].
Assaf, A. George ;
Josiassen, Alexander .
TOURISM MANAGEMENT, 2012, 33 (02) :317-326
[3]   Airlines performance in the new market context: A comparative productivity and efficiency analysis [J].
Barbot, Cristina ;
Costa, Alvaro ;
Sochirca, Elena .
JOURNAL OF AIR TRANSPORT MANAGEMENT, 2008, 14 (05) :270-274
[4]   An analysis of African airlines efficiency with two-stage TOPSIS and neural networks [J].
Barros, Carlos Pestana ;
Wanke, Peter .
JOURNAL OF AIR TRANSPORT MANAGEMENT, 2015, 44-45 :90-102
[5]  
Battal U., 2002, THESIS ANADOLU U ESK
[6]  
Behn B.K., 1999, J ACCOUNT AUDIT FINA, V40, P29, DOI [10.1177/0148558X9901400102, DOI 10.1177/0148558X9901400102]
[7]  
Bood L., 2017, Air Transport Management-An International Perspective
[8]  
Brooks C., 2008, INTRO ECONOMETRICS F, V2nd, DOI [10.1017/CBO9780511841644, DOI 10.1017/CB09780511841644]
[9]   Multi-period efficiency and productivity changes in US domestic airlines [J].
Choi, Kanghwa .
JOURNAL OF AIR TRANSPORT MANAGEMENT, 2017, 59 :18-25
[10]  
Cook GN, 2017, AIRLINE OPERATIONS AND MANAGEMENT: A MANAGEMENT TEXTBOOK, P1