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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Uranium Mining Industry : -A valuation of uranium mining companies

Östlund, Jacob, Kierkegaard, Kristian January 2007 (has links)
<p>Background:</p><p>Over the last three years uranium prices have soard from US $14 per pound (lb) to the current price of US $120/lb and this rapid incline of the commodity have created a boom within the uranium prospecting and min-ing industry. There are currently 435 nuclear reactors all over the world and these reactors demand 180 millions of pounds of uranium each year to run at full production. Currently the uranium mining industry only sup-plies 110 million pounds of the demanded quantity. The remaining 70 mil-lion pounds are coming from secondary sources such as decommissioned nuclear warheads and other sources. Market estimations say that the sec-ondary sources will only cover the shortage up until around 2012 then primary sources have to supply almost the whole quantity demanded. These factors imply that some sort of analysis model for uranium mining companies would be needed.</p><p>Purpose:</p><p>The purpose of this report is to valuate three companies within the ura-nium industry and to establish if the current market value is coherent with the fundamental value of these companies. The authors will propose a valuation model that could be used when valuating companies within the uranium industry.</p><p>Method:</p><p>A qualitative method has been used in order to value three companies within the uranium mining business that are fairly large players on the market. The valuation of these companies is based upon a discounted cash flow analysis, a relative PV valuation and relative valuation. The compa-nies included in the report are corporations that are quoted at Toronto Stock Exchange and they have started mining uranium. Data have been collected through annual reports and the companies Internet pages. Other secondary information such as valuation theories has been collected from academic search engines and books on the subjects.</p><p>Conclusions:</p><p>The current market values of uranium mining companies are not coherent with the actual fundamental values according to the authors. Both funda-mental and a comparative approach could be used when valuing these companies and the most important part in the valuation is to try and fore-cast the commodity price and then to estimate the companies possible mining reserve/extractable resources.</p>
2

Uranium Mining Industry : -A valuation of uranium mining companies

Östlund, Jacob, Kierkegaard, Kristian January 2007 (has links)
Background: Over the last three years uranium prices have soard from US $14 per pound (lb) to the current price of US $120/lb and this rapid incline of the commodity have created a boom within the uranium prospecting and min-ing industry. There are currently 435 nuclear reactors all over the world and these reactors demand 180 millions of pounds of uranium each year to run at full production. Currently the uranium mining industry only sup-plies 110 million pounds of the demanded quantity. The remaining 70 mil-lion pounds are coming from secondary sources such as decommissioned nuclear warheads and other sources. Market estimations say that the sec-ondary sources will only cover the shortage up until around 2012 then primary sources have to supply almost the whole quantity demanded. These factors imply that some sort of analysis model for uranium mining companies would be needed. Purpose: The purpose of this report is to valuate three companies within the ura-nium industry and to establish if the current market value is coherent with the fundamental value of these companies. The authors will propose a valuation model that could be used when valuating companies within the uranium industry. Method: A qualitative method has been used in order to value three companies within the uranium mining business that are fairly large players on the market. The valuation of these companies is based upon a discounted cash flow analysis, a relative PV valuation and relative valuation. The compa-nies included in the report are corporations that are quoted at Toronto Stock Exchange and they have started mining uranium. Data have been collected through annual reports and the companies Internet pages. Other secondary information such as valuation theories has been collected from academic search engines and books on the subjects. Conclusions: The current market values of uranium mining companies are not coherent with the actual fundamental values according to the authors. Both funda-mental and a comparative approach could be used when valuing these companies and the most important part in the valuation is to try and fore-cast the commodity price and then to estimate the companies possible mining reserve/extractable resources.
3

Monetizing truck freight and the cost of delay for major truck routes in Georgia

Gillett, Jessica C. 21 November 2011 (has links)
This research provides an example delay calculation for long-haul single unit and combination trucks on Interstate-75 (I-75) in Georgia. Truck profiles on Georgia interstates are used to calculate the value of freight by truck type and commodity moved. Determining the types of trucks and commodities moved within the state of Georgia allows the researcher to monetize the effect of recurring congestion by location in addition to the cost of lost time. A more accurate calculation of delay based on truck type and commodity moved will better inform the Georgia Department of Transportation about the performance of Georgia's major truck routes and its potential effect on the local economy. A review of past research on this topic found that the calculated cost of delay in previous studies varied widely based on truck and commodity type. The identification of the types of commodities moved can assist in better monetizing the value of truck freight. Using forecast data on future truck traffic volume increases in the corridor, the growing importance of putting a value on different types of truck freight delay costs are demonstrated.

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