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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.
381

The impact of the intensity of firm's intangible assets on the volatility of their stock prices

Fred Tambong, Takoeta January 2008 (has links)
The volatility of share prices is an important variable in most asset pricing models and option pricing formulas.Valuation of volatility of share prices have become a major challenge with the development of the knowledge-driven economy as evidence suggest that not all elements of company wealth are physical in nature. The purpose of this project entitled “The intensity of the firm’s intangible asset on the volatility of their stock price” is to check if the intensity of intangible assets in a firm’s balance sheet affects the volatility of their stock price. A brief overview of intangible assets is also included in this study. An OLS regression was run and the results of the entire data set gives a negative correlation between intensity of intangible assets and volatility of stock prices probably due to the fact that the volatility of the firm share prices are driven by uncertainty and expectation of future growth. An industry-grouping regression was carried out, the results shows that for basic pharmaceuticals there is a positive correlation between the intensity of intangible assets and their price volatility while the other three industry groups produce a negative correlation. The study relies on secondary data of randomly selected fourty (40) publicly traded companies in Europe from four different industry groupings namely: manufacture of basic pharmaceuticals, manufacture of food products and beverages, information technology and manufacture of basic metals.
382

Applications of adaptive Fourier decomposition to financial data

Shi, Rong January 2012 (has links)
University of Macau / Faculty of Science and Technology / Department of Mathematics
383

Decision making framework for managers : Profit by forecasting, costs and price management

Anema, Jens, Fraga, Fernando January 2009 (has links)
Forecasting, cost management and pricing policies are topics which have beenwidely investigated over time. Due to a lack of scientific research about therelationships between each of those subjects, these methods have beeninvestigated in combination with their outcomes. The purpose of this work was todevelop a framework which can be used by managers who want to make adecision in either of the subjects mentioned before. By the use of a qualitative, interpretive research design, a literature review was performed which led to some interesting findings. Generally, it can be said that the methods are not related directly, although the outcomes are linked and can often be used as a criterion for the decision making process for the other methods.
384

Housing market and urban growth in China: what are the factors affecting housing prices?

Liu, Danyuan January 2012 (has links)
A rapid urbanization process facilitated an enormous expansion of the cities and stimulated the development of the urban housing markets in China. The primary purpose of this thesis is to find factors influencing the urban housing prices. Based on the supply and demand theory, I examine housing prices in 95 cities in 2010 related to population growth, wages, manufacturing employment, human capital, pollution, and housing investment using a cross section data analysis. The empirical results indicate that all those factors are significantly related to the housing prices. I focus on population growth, a proxy for the urbanization process, as the core determinant to analyze housing prices in China. In addition, the results also find that cities located in the eastern area have averagely a higher productivity than the ones located in the mid-west, and the higher housing prices in the eastern area are explained by the higher level of population growth and wages.
385

Essays in financial economics and risk management

Zou, Lin 15 May 2009 (has links)
No description available.
386

Application of price uncertainty quantification models and their impacts on project evaluations

Fariyibi, Festus Lekan 30 October 2006 (has links)
This study presents an analysis of several recently published methods for quantifying the uncertainty in economic evaluations due to uncertainty in future oil prices. Conventional price forecasting methods used in the industry typically underestimate the range of uncertainty in oil and gas price forecasts. These forecasts traditionally consider pessimistic, most-likely, and optimistic cases in an attempt to quantify economic uncertainty. The recently developed alternative methods have their unique strengths as well as weaknesses that may affect their applicability in particular situations. While stochastic methods can improve the assessment of price uncertainty they can also be tedious to implement. The inverted hockey stick method is found to be an easily applied alternative to the stochastic methods. However, the primary basis for validating this method has been found to be unreliable. In this study, a consistent and reliable validation of uncertainty estimates predicted by the inverted hockey stick method is presented. Verifying the reliability of this model will ensure reliable quantification of economic uncertainty. Although we cannot eliminate uncertainty from investment evaluations, we can better quantify the uncertainty by accurately predicting the volatility in future oil and gas prices. Reliably quantifying economic uncertainty will enable operators to make better decisions and allocate their capital with increased efficiency.
387

Housing prices dynamics in China : A case study of Shanghai, Tianjin and Hefei

Ling, Chen, Xie, Tao January 2010 (has links)
<p>This paper studies the fundamental determinants of housing prices in three different developedcities in China. The main question addressed is whether fluctuations in the fundamentaldeterminants of housing prices around the world have an impact on housing prices inChina. The theoretical framework shows that housing prices in China are determined to alarge extent by stipulated factors that affect other big cities. They are: income per capita, interestrate, land price, construction cost and population and stock price.We use a linear regression model in our article. The empirical testing shows that these sixdeterminants used in Western countries are also applicable to Chinese real estate market.Most of them succeed in explaining the dynamics of housing prices. However, the resultsof the empirical testing are different among the three cities, so specific economic environmentof the three cities are necessary to understand the results.In our opinion, although some of the determinants fail to explain the fluctuations of housingprices, it is early to say there are bubbles due to the short history of Chinese real estatemarket. However, if policies are not implemented to calm down the overheating market insome first-tier cities, the consequences are hard to identify.</p>
388

Essays on the nonlinear modeling of real exchange rates and price differentials /

Lo, Ming Chien, January 2000 (has links)
Thesis (Ph. D.)--University of Washington, 2000. / Vita. Includes bibliographical references (leaves 98-101).
389

Studies in Chinese price history

Wilkinson, Endymion Porter. January 1970 (has links)
Thesis (Ph. D.)--Princeton University, 1970. / eContent provider-neutral record in process. Description based on print version record.
390

Cost considerations when purchasing from China /

Måttgård, Erik. Håkansson, Marcus. Svensson, Rikard. January 2008 (has links)
Master's thesis. / Format: PDF. Bibl.

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