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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.
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Redovisningspraxis och Redovisningsrådets AkutgruppCarlberg, Catrine, Karlsson, Annika January 2004 (has links)
No description available.
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Redovisningspraxis och Redovisningsrådets AkutgruppCarlberg, Catrine, Karlsson, Annika January 2004 (has links)
No description available.
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Relative or Discounted Cash Flow Valuation on the Fifty Largest US-Based Corporations on Nasdaq : Which of these valuation methods provides the most accurate valuation forecast?Öhrner, Marcus, Öhman, Otto January 2023 (has links)
The topic of this Bachelor Thesis is “Which of these valuation methods provides the most accurate valuation forecast”. Assuming that the year is 2020, the goal of this thesis is to forecast the future stock prices of the fifty largest US-based companies on the Nasdaq stock exchange for 2021 and 2022. By using a quantitative method and looking ten years back at historical data. We determine which valuation method provides the most accurate stock price when conducted in a non-sector specific sample by comparing predicted prices to actual stock prices and discussing the results. There are several ways to evaluate a company and the ones being utilized in this thesis are the discounted cash flow valuation method, the price-to-earnings ratio method (equity multiple), and enterprise value to enterprise value before interest, tax, and depreciation (firm multiple). Our results show that when reviewing the valuations of multiple companies in different sectors the relative valuation methods provide better predictions with EV/EBITDA rather than the discounted cash flow method. This thesis provides the reader with a comprehensive overview of these different valuation methods and their effectiveness in providing valuation forecasts. The result of this thesis is beneficial for policymakers, investors, and financial analysts when forecasting future stock prices.
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