The validating roles of hedging and leverage as value-adding corporate strategies arise from their beneficial manipulation of deadweight market impositions such as taxes and financial distress costs. These roles may even be symbiotic in their value-adding effects, but they are antithetic in their effects on company risk. This study's modelling analysis indicates that hedging and leverage do interact for net benefit to company value; for sensible base-case exogenous parameters, the optimal (value-maximising) joint hedging and leverage strategy increases company value by about 4.0% compared to the unhedged optimal leverage strategy, by about 1.3% compared to the unlevered optimal hedge strategy, and by about 4.0% compared to the company being unlevered and unhedged. Furthermore an optimal joint hedging and leverage strategy is less financially risky than an unhedged optimal leverage strategy or an unhedged and unlevered strategy, and is often less financially risky than an unlevered optimal hedge strategy. Interestingly, the optimal joint hedging and leverage strategy entails some risk-seeking hedge reversal in response to weak price outcomes for production output.

This thesis investigates the theoretical and empirical relationships between a firm’s R&D investment intensity and the systematic risk of its common stock in Sweden. This is done by examining 38 Swedish firms between 1997 and 2005. An overlapping set of 5-year window is chosen to apply to calculate the variables of the samples. In this thesis, three factors are introduced as a proxy of main constituents of systematic risk: intrinsic business risk, degree of financial leverage and degree of operating leverage. And we use these three constituents to analysis the relationship between R&D investment and systematic risk. The results from Monte Carlos simulations and correlation analysis of our sample show that, in Sweden, firms with higher R&D intensity do face higher stock price volatility in the stock market. At the same time, we attempt to test the relationship among R&D and systematic risk’s three constituents, but find that R&D intensive firms have more financial leverage which is opposite to our expect, which might due to the shortage of data and limitation of our sample selection, and R&D intensive firms do not have obvious relations directly with intrinsic business risk, degree of financial leverage or degree of operating leverage.

Previous research on the tradeoff between operating and financial leverage has come to contradicting results, thus, there is no consensus of opinion regarding van Horne’s tradeoff theory. This study investigates whether there is support for the tradeoff theory on a sample of 347 Swedish, listed firms. Unlike previous studies, we employ a method with direct measures using guidance provided by Penman (2012), rather than using the more common degree of operating and financial leverage as proxies. During the time period 2006-2011 we find a statistically significant negative relationship of 0.214 using an OLS regression with financial leverage as the dependent variable, giving support for the tradeoff theory. The adjusted explanatory power (adjusted R2) is however rather low, despite adding four control variables, reaching only 7.4%.

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Thesis (Ph. D.)--University of Texas at El Paso, 2008. / Title from title screen. Vita. CD-ROM. Includes bibliographical references. Also available online.

Thesis (Ph. D.)--University of Texas at Austin, 2004. / Supervisor: Sheridan Titman. Vita. Includes bibliographical references.

<p>This thesis investigates the theoretical and empirical relationships between a firm’s R&D investment intensity and the systematic risk of its common stock in Sweden. This is done by examining 38 Swedish firms between 1997 and 2005. An overlapping set of 5-year window is chosen to apply to calculate the variables of the samples.</p><p>In this thesis, three factors are introduced as a proxy of main constituents of systematic risk: intrinsic business risk, degree of financial leverage and degree of operating leverage. And we use these three constituents to analysis the relationship between R&D investment and systematic risk.</p><p>The results from Monte Carlos simulations and correlation analysis of our sample show that, in Sweden, firms with higher R&D intensity do face higher stock price volatility in the stock market. At the same time, we attempt to test the relationship among R&D and systematic risk’s three constituents, but find that R&D intensive firms have more financial leverage which is opposite to our expect, which might due to the shortage of data and limitation of our sample selection, and R&D intensive firms do not have obvious relations directly with intrinsic business risk, degree of financial leverage or degree of operating leverage.</p>

The thesis is focused on the assessment of the investment in the transport company by a variety of funding and its impact on capital structure. The operational objective is to evaluate the effect of financial leverage and impact of investments on the financial situation of the company. The investment is viewed from the perspective of market demand capital.

Much has been written during the past decade to explain the relationship between financial and operating leverage and stock-price volatility. However, the relationship between combined leverage and stock-price volatility has yet to be fully explored. Mandelker and Rhee's (MR) recent study uses both operating and financial leverage in a regression (equivalent to the traditional total leverage—DTL) and shows that both types of leverage are positively associated with common stock betas. Huffman recently demonstrated that there are interactions between operating leverage and financial leverage. Therefore, MR's model could be oversimplified. This study examines the relationship between firms' combined leverage and their stock-price volatility. The study also examines industry and industry growth to see if the relationship is influenced by these factors. The question is whether DOCL is a better risk measure than DTL and whether there is an interaction between operating and financial leverage. The inferences that can be drawn from the study's results are as follows: (a) Stock risk is a function of combined leverage; (b) Industry significantly influences the relationship between stock risk and DOCL; (c) High growth increases the relationship between stock risk and DOCL; (d) Combined leverage (DOCL) is a better risk measure than total leverage (DTL). Further, the problem with the traditional total leverage measure is the omission of the interaction between DOL and DFL. This is consistent with Huffman's theory and suggests Mandelker and Rhee's model is oversimplified.

Background: Swedish companies were negatively affected by the financial crisis between 2007 to 2009. Even if companies with a high level of financial leverage were hit harder due to the financial crisis than companies with financial leverage, the level of financial leverage about the same now as it was right before the financial crisis. Even if an increase of cash flows associated to financial leverage increase a company’s business opportunities, there are a lot of research done in the field that claim that the relation between financial leverage and financial performance is negative. Purpose: Since there is evidence that the relation between financial leverage and financial performance differ from different countries across the world, it is important to determine the relation in different countries. There is a research gap when it comes to the relation in Sweden, since the prior research have focused on specific industries or company sizes. By extending prior research in Sweden, companies, investors and creditors could get better understanding for Swedish companies’ relation between financial leverage and financial performance. Method: In the thesis, data from 750 companies listed on Stockholm stock exchange has been examined to determine the relation between financial leverage and financial performance. Totally, 3750 observation from the years 2012 to 2016, have been tested by a multivariate regression. Results: The evidence from the thesis showed that the relation between financial leverage and financial performance depends on which type of measurement for financial leverage and financial performance that is used. There is partly significant evidence that company size affect the relation