127 resultados para land price
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Kartta kuuluu A. E. Nordenskiöldin kokoelmaan
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The desire to create a statistical or mathematical model, which would allow predicting the future changes in stock prices, was born many years ago. Economists and mathematicians are trying to solve this task by applying statistical analysis and physical laws, but there are still no satisfactory results. The main reason for this is that a stock exchange is a non-stationary, unstable and complex system, which is influenced by many factors. In this thesis the New York Stock Exchange was considered as the system to be explored. A topological analysis, basic statistical tools and singular value decomposition were conducted for understanding the behavior of the market. Two methods for normalization of initial daily closure prices by Dow Jones and S&P500 were introduced and applied for further analysis. As a result, some unexpected features were identified, such as a shape of distribution of correlation matrix, a bulk of which is shifted to the right hand side with respect to zero. Also non-ergodicity of NYSE was confirmed graphically. It was shown, that singular vectors differ from each other by a constant factor. There are for certain results no clear conclusions from this work, but it creates a good basis for the further analysis of market topology.
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Life cycle assessment (LCA) is one of the most established quantitative tools for environmental impact assessment of products. To be able to provide support to environmentally-aware decision makers on environmental impacts of biomass value-chains, the scope of LCA methodology needs to be augmented to cover landuse related environmental impacts. This dissertation focuses on analysing and discussing potential impact assessment methods, conceptual models and environmental indicators that have been proposed to be implemented into the LCA framework for impacts of land use. The applicability of proposed indicators and impact assessment frameworks is tested from practitioners' perspective, especially focusing on forest biomass value chains. The impacts of land use on biodiversity, resource depletion, climate change and other ecosystem services is analysed and discussed and the interplay in between value choices in LCA modelling and the decision-making situations to be supported is critically discussed. It was found out that land use impact indicators are necessary in LCA in highlighting differences in impacts from distinct land use classes. However, many open questions remain on certainty of highlighting actual impacts of land use, especially regarding impacts of managed forest land use on biodiversity and ecosystem services such as water regulation and purification. The climate impact of energy use of boreal stemwood was found to be higher in the short term and lower in the long-term in comparison with fossil fuels that emit identical amount of CO2 in combustion, due to changes implied to forest C stocks. The climate impacts of energy use of boreal stemwood were found to be higher than the previous estimates suggest on forest residues and stumps. The product lifetime was found to have much higher influence on the climate impacts of woodbased value chains than the origin of stemwood either from thinnings or final fellings. Climate neutrality seems to be likely only in the case when almost all the carbon of harvested wood is stored in long-lived wooden products. In the current form, the land use impacts cannot be modelled with a high degree of certainty nor communicated with adequate level of clarity to decision makers. The academia needs to keep on improving the modelling framework, and more importantly, clearly communicate to decision-makers the limited certainty on whether land-use intensive activities can help in meeting the strict mitigation targets we are globally facing.
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Research has highlighted the adequacy of Markov regime-switching model to address dynamic behavior in long term stock market movements. Employing a purposed Extended regime-switching GARCH(1,1) model, this thesis further investigates the regime dependent nonlinear relationship between changes in oil price and stock market volatility in Saudi Arabia, Norway and Singapore for the period of 2001-2014. Market selection is prioritized to national dependency on oil export or import, which also rationalizes the fitness of implied bivariate volatility model. Among two regimes identified by the mean model, high stock market return-low volatility regime reflects the stable economic growth periods. The other regime characterized by low stock market return-high volatility coincides with episodes of recession and downturn. Moreover, results of volatility model provide the evidence that shocks in stock markets are less persistent during the high volatility regime. While accelerated oil price rises the stock market volatility during recessions, it reduces the stock market risk during normal growth periods in Singapore. In contrast, oil price showed no significant notable impact on stock market volatility of target oil-exporting countries in either of the volatility regime. In light to these results, international investors and policy makers could benefit the risk management in relation to oil price fluctuation.
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1:42000.
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The cоncept оf sustainability-оriented innоvatiоn is recent and still under researched. The aim оf the Thesis is tо cоntribute tо the field and investigate hоw dо cоmpanies оperating in Pоland apply sustainability-оriented innоvatiоn (SОI) tо their cоre business activities, what are the differences between variоus business fоrms оf оrganizatiоn in terms оf SОI, and what type оf capabilities facilitate implementatiоn оf SОI. Given early stage оf empirical research оn sustainability-оriented innоvatiоn, an explоratоry-descriptive case study research strategy was taken applying qualitative methоds. 6 interviews with managers and CEОs оf 4 cоmpanies lоcated in Warsaw were cоnducted. In additiоn, twо academic expert panels with specialists frоm University оf Lоdz and Lappeenranta University оf Technоlоgy were carried оut in оrder tо suppоrt the findings. The study fоund оut that in case оf cоmpanies which purpоse is tо create pоsitive impact and develоp sustainable prоducts оr services by using innоvative apprоaches, SОI activities are embedded in оrganizatiоnal culture and prоcess sо that it is difficult tо differentiate between main business activities and SОI. In the оther twо cases SОI practices were in line with cоre business activities thus reflected the main оperatiоns and were determined as a part оf CSR strategy. Activities are industry specific and are cоntingent upоn resоurces and capabilities pоssessed. Amоng list оf success factоrs management suppоrt, CEО’s persоnal values, dedicated and mоtivated team, investments in research and develоpment, оrganizatiоnal culture, nоn-hierarchical cоmmunicatiоns channels, empоwerment оf emplоyees, prоvisiоn оf time and space fоr failures were identified as key оrganizatiоnal capabilities facilitating integratiоn оf SОI practices. Whereas market demand, NGОs’ pressure, regulatiоns enfоrced, access tо external funding, netwоrking and cооperating present external оr cоllabоrative capabilities suppоrting implementatiоn оf sustainability оriented innоvatiоn in cоmpanies. SОI takes a systemic apprоach that drives the transfоrmatiоn tо becоme sustainable business embedding and integrating sоcial, envirоnmental and ecоnоmic value creatiоn tоgether.
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The application of VSC-HVDC technology throughout the world has turned out to be an efficient solution regarding a large share of wind power in different power systems. This technology enhances the overall reliability of the grid by utilization of the active and reactive power control schemes which allows to maintain frequency and voltage on busbars of the end-consumers at the required level stated by the network operator. This master’s thesis is focused on the existing and planned wind farms as well as electric power system of the Åland Islands. The goal is to analyze the wind conditions of the islands and appropriately predict a possible production of the existing and planned wind farms with a help of WAsP software program. Further, to investigate the influence of increased wind power it is necessary to develop a simulation model of the electric grid and VSC-HVDC system in PSCAD and examine grid response to different wind power production cases with respect to the grid code requirements and ensure the stability of the power system.
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Ilmestynyt kolmena vihkona.