No abstract

The current study examines the association between financial performance and leverage for 56 food processing firms listed in BSE over the period 2000-2018 using pooled OLS, fixed effects, and random effects models. The results indicate that leverage was significantly and positively associated with the firm performance. The results obtained are thus robust across the estimation methods. The pecking order theory and the static tradeoff theory, both seem to explain Indian food processing firms' decisions among the alternative theories of capital structure.

The current research seeks to investigate the influence of debt financing (as assessed by the debt-equity ratio) on financial performance as evaluated by ROA and ROE. The information was taken from yearly reports issued by Saudi Arabian oil companies between 2012 and 2019. The current ratio (CR) was also incorporated as an interaction variable in the research. The findings indicate that debt financing has a detrimental influence on business financial performance. Furthermore, even after accounting for the interaction variable, the effect remains negative. Moreover, the business size has a negative link with the ROA and ROE.

The association between risk and return is a significant concept in finance that has been studied in the past to a large extent. The stock market volatility is closely associated with the risk. The current study examines the intraday volatility pattern of stock market of Saudi Arabia by reviewing the stocks of Tadawul All Share Index (TASI). We obtain return data at 5-minute frequency from the SASEIDX starting on 25 October 2017 and ending on 9 May 2018. We examine the stock market volatility by using different symmetric and asymmetric GARCH models and observe that, the symmetric GARCH models showed a significant positive association between risk and return. Similarly, the asymmetric GARCH models show that the estimates were significant and the leverage estimate was negative and significant, indicating a no-leverage effect in the return series. Moreover, the asymmetric results suggest that negative shocks do not entail to future higher volatility than positive shocks. Therefore, the symmetric and asymmetric GARCH models are comfortable to capture the volatility of Saudi stock market from Intraday data.