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At the end of this session, learners should be able to:

• Understand why interpretation of financial statements is necessary.

• Calculate accounting ratios for profitability, liquidity, efficiency, capital structure and investors.

• Utilise ratio analysis to critically appraise an organisation’s published financial statements.

• Explain the limitations of ratio analysis.

Understand why interpretation of financial statements is necessary.

Calculate accounting ratios for profitability, liquidity, efficiency, capital structure and investors.

Utilise ratio analysis to critically appraise an organisation’s published financial statements.

Explain the limitations of ratio analysis.

The purpose of this chapter is to investigate the relationship between corporate governance and greenhouse gas (GHG) disclosures using evidence from the United States.

The study is based on a sample of 168 firms listed on the New York Stock Exchange (NYSE) in the United States. Panel data are used covering a period from 2017 to 2020 involving 672 observations.

The results indicate that board size has a positive and significant effect on GHG disclosures while the effect of ownership concentration and insider ownership is negative and significant. The proportion of non-executive directors is not significant. In terms of control variables, firm size and financial slack have a positive effect on GHG disclosures.

The study results add evidence to the already existing literature on the relationship between corporate governance and GHG disclosures using evidence from the United States.

Introduction: The government has taken many initiatives for the overall growth of India after liberalisation and remarkably performed to make India an emerging economy. Due to changes in macroeconomic conditions, investment in companys’ shares includes the possibility of bearing high risk, which cannot be eliminated but, to some extent, minimised. The persistence of risks motivates investors to invest in different available options of investment. Gearing measures, a company’s financial leverage, represent the risk afforded within the company’s capital structure.

Purpose: The research aims to identify the risk-return analysis of financial geared stocks of Nifty 50 companies in India, which have debt equity ratios of more than 1.

Methodology: Convenience and cluster sampling techniques were used to identify companies with debt equity ratios of more than 1. The considered time period is 2010–2019.

Findings: This research found capital structure ratios, debt equity ratio, and total debt ratio. The total equity ratio does not have any visible effect on any of the dependent variables, i.e., Return on equity (ROE), Return on Assets (ROA), Earnings per share (EPS), Return on capital employed (ROCE). It explains the impact of high-levered firms’ performance on profitability and functioning. The study highlights that highly geared companies do not significantly impact the ROA, proving Modigliani and Miller’s (1958) irrelevant theory.

This study delves into the determinants and praxis of derivative hedging instruments (DHIs) usage of Malta, a small island state. Empirical evidence is also provided in relation to the impact of DHI usage and the adoption of a hedge accounting (HA) model in entities’ financial statements. A mixed methodology design is deployed involving: (1) a series of statistical models and tests and (2) seven semi-structured interviews with senior professionals.

The data collected comprise proxy variable values collected from the financial statements of 568 firm-years from 107 Maltese entities between the years 2009 and 2014. Greater likelihood of financial distress, decreasing investment efficiency and increased levels of gearing, are identified as being significant determinants for the use of DHIs. Although DHI usage is low in comparison to larger states, it has been increasing over the period under study.

HA is evidenced to be less popular in Malta, but the study evidences correlation between certain DHIs and HA usage. The quantitative statistical model results in evidence with no significant earnings volatility (EV) or cash flow volatility (CFV) reduction effects through the application of HA. Albeit, the study finds a significant CFV reduction effect emanating from DHI usage, but no corresponding EV reduction effect.

Better education and dissemination of the HA treatment by auditors and regulatory bodies could help propagate the HA treatment, potentially enhancing the EV reduction effectiveness of DHI use. This research provides empirical evidence to substantiate the rationale behind utilising DHIs in smaller island states, especially when coupled with a sound risk management culture.