<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v5i6.4529</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Empirical Analysis of the Relationship Between Altman’s Z-Score and Stock Performance Based on Airline Companies Listed in the United States</title><url>https://artdesignp.com/journal/PBES/5/6/10.26689/pbes.v5i6.4529</url><author>HuYaofeng,QiZhan,WangDi,WuYansen</author><pub-date pub-type="publication-year"><year>2022</year></pub-date><volume>5</volume><issue>6</issue><history><date date-type="pub"><published-time>2022-12-27</published-time></date></history><abstract>This research looks at any relevance between Altman’s Z-score and the stock market performance of airline companies in the United States (US). Nearly a thousand pieces of data on various aspects of operation and financial status from 81 airline companies in the US are available. Additionally, stock return is used as an indicator of firm stock performance in this paper. In order to satisfy the purpose of determining the relationship between Z-score and stock performance as well as what may be inferred from high stock returns with regard to Z-score, two different regression processes are carried out. The first regression tests the relationship between Z-score and stock return, while the second regression examines whether there is a difference in Z-scores between well-performing airline companies and poorly performing ones using dummy variables. The results reveal that there is a significant positive correlation between the Z-scores of US airline companies and their stock performance; besides, high stock returns potentially imply relatively high Z-scores and vice versa. Therefore, one of the crucial steps that US airline companies must make is to strengthen their balance sheets in order to draw investors to make investments in their businesses.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Carter DA, Rogers DA, Simkins BJ, 2006, Hedging and Value in the US Airline Industry. Journal of Applied Corporate Finance, 18(4): 21–33.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Gramani MCN, 2012, Efficiency Decomposition Approach: A Cross-Country Airline Analysis. Expert Systems with Applications, 39(5): 5815–5819.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Wang Z, Hofer C, Dresner ME, 2013, Financial Condition, Safety Investment and Accident Propensity in the US Airline Industry: A Structural Analysis. Transportation Research Part E: Logistics and Transportation Review, 49(1): 24–32.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Jang S, Choi K, Lee K, 2011, External Shocks and Efficiency Changes in the US Airline Industry. The Service Industries Journal, 31(14): 2411–2435.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Jayanti RK, Jayanti SV, 2011, Effects of Airline Bankruptcies: An Event Study. Journal of Services Marketing, 25(6): 399–409.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Altman E, 1968, Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 23(4): 598–608.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Croft E, 2011, The Altman Z-Score: Is it Possible to Predict Corporate Bankruptcy Using a Formula?, viewed November 21, 2018, http://www.stockopedia.com/content/the-altman-z-score-is-it-possible-to-predict-corporate-bankruptcy-using-a- formula-55725/</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Altman E, 1983, Corporate Financial Distress, John Wiley &amp; Sons, New York.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Altman EI, Hotchkiss E, 1993, Corporate Financial Distress and Bankruptcy, John Wiley &amp; Sons, New York.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Gritta R, 1982, Bankruptcy Risks Facing the Major U.S. Airlines. Journal of Air Law &amp; Commerce, 48(1): 89–108.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Afrin R, 2017, Analysing the Potential of Altman’s Z-score for Prediction of Market Performance and Share Returns – A Case Study of the Cement Industry in Bangladesh. The AUST Journal of Science and Technology, 6(1–2): 1–16.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Sukmawati S, Kusmuriyanto K, Agustina L, 2014, Pengaruh Struktur Modal, Ukuran Perusahaan, Likuiditas dan Return on Asset Terhadap Kualitas Laba [The Influence of Capital Structure, Company Size, Liquidity and Return on Assets on Profit Quality]. Accounting Analysis Journal, 3(1): 26–33.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Apergis N, Sorros J, Artikis P, et al., 2011, Bankruptcy Probability and Stock Prices: The Effect of Altman Z-Score Information on Stock Prices Through Panel Data. Journal of Modern Accounting and Auditing, 7(7): 689.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Issabella M, 2013, Pengaruh Economic Value Added, Risiko Sistematis, dan Prediksi Kebangkrutan Dengan Model Altman Z-Score Terhadap Return Saham (Perusahaan Lembaga Keuangan yang Terdaftar di BEI Tahun 2007–2011) [The Influence of Economic Value Added, Systematic Risk, and Bankruptcy Prediction with the Altman Z-Score Model Against Stock Returns (Financial Board Companies Registered at BEI Year 2007-2011)]. Jurnal Akuntansi [Accounting Journal], 1(2): 1–26. http://ejournal.unp.ac.id/students/index.php/akt/article/view/622</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Abdullah M, 2015, An Empirical Analysis of Liquidity, Profitability and Solvency of Bangladeshi Banks. Journal of Business &amp; Financial Affairs, 5: 157.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B16" content-type="article"><label>16</label><element-citation publication-type="journal"><p>Mahtani US, Garg CP, 2018, An Analysis of Key Factors of Financial Distress in Airline Companies in India Using Fuzzy AHP Framework. Transportation Research Part A: Policy and Practice, 117: 87–102.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B17" content-type="article"><label>17</label><element-citation publication-type="journal"><p>Behn BK, Riley Jr RA, 1999, Using Nonfinancial Information to Predict Financial Performance: The Case of the US Airline Industry. Journal of Accounting, Auditing &amp; Finance, 14(1): 29–56.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B18" content-type="article"><label>18</label><element-citation publication-type="journal"><p>Schefczyk M, 1993, Operational Performance of Airlines: An Extension of Traditional Measurement Paradigms. Strategic Management Journal, 14(4): 301–317.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B19" content-type="article"><label>19</label><element-citation publication-type="journal"><p>Scheraga CA, 2004, Operational Efficiency Versus Financial Mobility in the Global Airline Industry: A Data Envelopment and Tobit Analysis. Transportation Research Part A: Policy and Practice, 38(5): 383–404.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B20" content-type="article"><label>20</label><element-citation publication-type="journal"><p>Gritta RD, Adrangi B, Adams B, et al., 2011, An Update on Airline Financial Condition and Insolvency Prospects Using the Altman Z” Score Model. Journal of the Transportation Research Forum, 47(2): 133–138. http://dx.doi.org/10.5399/osu/jtrf.47.2.1726</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
