Airline Industry: Strategies, operations, safety by Connor R. Walsh

By Connor R. Walsh

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S. Airline Industry 21 Table 2. Correlation Matrix This table shows correlations for the airline industry‘s three major carriers‘ common earnings divided by book value of assets, average monthly S&P 500 returns (SP), average monthly log changes in the consumer price index (CPI) and annual log changes in Crude Oil prices (CRUDE). The first row shows the correlation and the second row shows the p-value. For all panels, the carriers‘ profits are at time t. For SP, CPI and Crude, the returns are at times t, t-1 and t-2 for panels A, B and C respectively.

4 Some of the more recent studies have found a relation between capital structure and profitability. For example, Panno (2003) investigates the determinants of capital structure using companies in the UK and Italy during the period 1992 – 1996. He finds that financial leverage is positively related to size and profitability and negatively related to liquidity conditions and the risk of bankruptcy. Wald (1999) examines factors correlated with capital structure in France, Germany, Japan, the UK and the US.

Correlation Matrix This table shows correlations for the airline industry‘s three major carriers‘ common earnings divided by book value of assets, average monthly S&P 500 returns (SP), average monthly log changes in the consumer price index (CPI) and annual log changes in Crude Oil prices (CRUDE). The first row shows the correlation and the second row shows the p-value. For all panels, the carriers‘ profits are at time t. For SP, CPI and Crude, the returns are at times t, t-1 and t-2 for panels A, B and C respectively.

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