This empirical study is aimed to analyze the determinants of residential water demand and performed water use practice at household level in Hawassa. This study will fill the research gap and information on factors affecting household water demand in regions being water scarce and will provide useful information for policy-makers and water utility planners in order to use scarce drinking water resource more efficiently. In this study the proposed potential factors determine household water demand in Hawassa were; Socioeconomic and demographic characteristics, the average monthly household expenditure, use of water appliances and household water use patterns for various purposes, and household awareness towards water source conservation. The cross sectional survey was done in 169 rondomly selected households. The collected Data was analyzed using multiple regression models with different functional forms (linear, semi-log) and heteroskedaticity corrected model was also used in each of functional forms to examine the structural relationship between the quantity of water demand and explanatory variables. The gretl statisitcal software package was used. The descriptive statistics analysis was also followed to present results in tables, charts and graphs (mean, median, minimum, maximum, frequency...

The financial crisisand the European debt crisis wreaked havoc on many European economies and stock markets. Previous studies have shown that crises are associated with high debt and linked with lower growth. Studies also suggest that politicians underestimate the risks associated with high debt during economic upturn and that economic crises are usually connected with high volatility. Volatility is used as a measurement of risk since high volatility indicates larger market uncertainty of the valuation of the underlying asset. Previous studies have shown that volatility can be a good indication of a firm’s riskiness. As volatility and capital structure both relate to risk and are influenced by market reactions, investigating the impact that capital structure has on volatility during times of global financial market distress could provide insight and be an important tool for investors. This thesis will investigate firms listed on the Stockholm stock exchange, divided into seven industries, in order to find the impact capital structure may have on volatility, before, during and in the aftermath of the recent European debt crisis (2006-2016). The study will use a quantitative research method, with an objectivistic and positivistic research philosophy as well as a deductive research approach. By using multiple regression models, theoretical relations surrounding volatility and capital structure will be contrasted to the results of the study.The results of the study finds that capital structure does not play a significant part inchanges in volatility for firms during any investigated period when testing for all firms simultaneously. However, the same claim cannot be made for when each industry is tested individually. Empirical evidence showed that capital structure is a influencer for changes in volatility for the consumer goods industry prior to and after the debt crisis and in the consumer goods service industry after the debt crisis. Investors are urged to not be concerned by large debt levels, as long as they invest in largefirms and choose the right sectors. The financial sector is seen as the least risky, with low volatility levels. Furthermore, the basic material sector, despite outward appearances, should be avoided as it presents recent periods of unusually large volatility levels.