The purpose of this study is to create a method that can be used to produce decisionsupport data for the climate goals of a municipality. The method should be able to demonstrate the potential for reducing energy use and greenhouse gas emissions for measures aimed at the stationary energy system in the municipality. It will be used to make longterm projections of energy use and greenhouse gas emissions in order to be able to demonstrate the ability to reach climate goals. The aim was also to test the method's applicability by using the municipality of Uppsala and the Uppsala climate protocol project in a case study. Uppsala climate protocol is a project consisting of participants from business, government and organizations that voluntarily want to commit to reducing their carbon footprint by reducing their energy use and thus work to achieve the municipality's overall climate goal. Public reporting of energy use and climate impact has been studied in order to examine the nature of indicators and accounting figures that are commonly used in the field and how long-term Forecasts are formulated. In connection to this, the type and sources for the kind of data needed was also examined.

The purpose of this study is to create a method that can be used to produce decision supportdata for the climate goals of a municipality. The method should be able to demonstrate the potential for reducing energy use and greenhouse gas emissions for measures aimed at the stationary energy system in the municipality. It will be used to make long term projections of energy use and greenhouse gas emissions in order to be able to demonstrate the ability to reach climate goals. The aim was also to test the method's applicability by using the municipality of Uppsala and the Uppsala climate protocol project in a case study. Uppsala climate protocol is a project consisting of participants from business, government and organizations that voluntarily want to commit to reducing their carbon footprint by reducing their energy use and thus work to achieve the municipality's overall climate goal.

To manage the industry?s need of wood assortments in a optimal and cost effective way the forest companies need to have knowledge of the actual standing volume and the yield of the planned clear cuts. The mean volume of the trunk is also important since it is important for the contractors prices. Today the total volume are estimated either with Näslund (1940) or Brandels (1990) functions of volumes, and the yield is estimated with Rune Ollas (1980) function for trunks and stands. The purpose of this study has been to answer the following questions: How good is the yield forecast with data collected with currently used methods? How well can the yield Forecasts became with data collected according to the instructions? How well can the yield forecast be with data collected according to the instruction and calculated with the program Aptan for theoretical bucking? The study has been initiated and financed by SCA Skog AB.The material consisted of a number of randomly selected objects ready for clear cut.

I have always been interested in sports, so when it was time to write the paper I chose to write about sports and economic.It has led to this problem: How is the function of management control and planning problems in sports?   Sports clubs are non-profit association and non-profit organizations aim to support members? moral and economic interests. A financial manager will lead the accounting department and have the final responsibility. The finance manager has to work to produce financial results, reports and custom operations (Högfeldt, 2011). A sports club use economic tools, usually budget.

Level: Thesis in Business AdministrationDate: 20009-06-11Authors: Anders Johansson & Johan MyhrE-mail: anders@clubsilk.nu,  johan@clubsilk.nuTutor: Mona AnderssonTitle: Company valuation according to Value Based Management ? application to SkiStarProblem: Different operators constantly supervise Companies listed at the stockmarket. The stock exchange market is continuously updating the companie?s present value and their forecasted value. It is important that the companies are able to communicate with the market so that the stockvalue reflects the real value of the company.

The purpose of this master thesis is to map and analyze the appropriate valuation approaches used for Intellectual Property rights and develope a model for valuing patents. This project has been executed on behalf of Electrolux?s Group Intellectual Property and is intended to be used for managerial purposes.Project limitations include patents that doesent concern technology oriented products and services, real option methods, financial Forecasts, decisions concerning patents taken by the R&D division, patent applications in general and taking into account unexpected future management decisions regarding patents.Electrolux?s Intellextual Property team applies, manages and protects the groups Intellectual Property rights including patents, designs and trademarks. With an increased globalization and the rise of emerging markets, incentives have increased further to protect and safeguard the group?s innovations.Mainly there are three different valuations approaches for valuing intellectual property rights, these include the income based approach, cost base approach and market based approach.

This paper presents a study that evaluates the performance of stock recommendations issued on Swedish stocks during 2003. The selection of recommendations in this paper originates from banks, major brokerage firms and financial press located in Sweden. The total of 171 recommendations consisted of 99 buy recommendations and 72 sell recommendations. Forecast revisions presented in this paper suggest that Investment managers have no ability to predict performance winners, nor do their Forecasts in general have any significant impact on stock prices. A mere 50 percent of the recommendations in this revision had a weak ability to outperform their benchmark indexes as in other similar revisions.

A multivariate cross-sectional model is used in this thesis to proxy for expected earnings and to estimate return on equity for 214 companies over the period 2009-2013, using Swedish data. The model, which has never been tested on Swedish data before, is first confirmed to function as a forecasting model for expected return. Furthermore, the model is evaluated through a comparison with two univariate models based on the assumption that return on equity follows a mean reversion process. Forecast accuracy is calculated as the difference of estimated returns and actual returns. The results show that the univariate models' Forecasts are superior to the multivariate model's..

Value-at-Risk (VaR) is among financial institutions a commonly used tool for measuring market risk. Several methods to calculate VaR exists and different implementations often results in different VaR Forecasts. An interesting implementation is historical simulation, and the purpose of this thesis is to examine whether historical simulation with dynamic volatility updating is useful as a model to calculate VaR and how this differs in regard to type of asset or instrument. To carry out the investigation six different models are implemented, which then are tested for statistical accuracy through Christoffersens test. We find that incorporation of volatility updating into the historical simulation method in many cases improves the model.

The Swedish Transport Agency has for a long time collected data on a monthly basis for different variables that are used to make predictions, short projections as well as longer projections. They have used SAS for producing statistical models in air transport. The model with the largest value of coefficient of determination is the method that has been used for a long time. The Swedish Transport Agency felt it was time for an evaluation of their models and methods of how projections is estimated, they would also explore the possibilities to use different, completely new models for forecasting air travel. This Bachelor thesis examines how the Holt-Winters method does compare with SARIMA, error terms such as RMSE, MAPE, R2, AIC and BIC  will be compared between the methods. The results which have been produced showing that there may be a risk that the Holt-Winters models adepts a bit too well in a few variables in which Holt-Winters method has been adapted.

For the actors in the Swedish forest industry, it is important to have the ability to forecast the state in the privateforests. The information that comes out of the Forecasts will be the base for the activities strategic direction.The aim in this exam is to survey what information that is present today as basis for forecast calculation, andeven to examine what other possibilities it might have in the future.From a limited geography and out of different time perspective forecast the felling potential in the privateforestry.With the word felling potential means regeneration felling and thinning. The exam will answer the questions:What information is needed to build a relevant forecast model?Is this information available today?Is there information to buy that would improve the forecast model?The result of this exam will be presented in form of a ”case study” showing the opportunities in the market tocreate a forecast calculation of felling potential in the private forestry within the Forest Owners’ AssociationMellanskogs wood-area Dalarna..

ICA is the largest general dealer in the Swedish market as well as the largest supplier to the independent ICA-dealers. The principal and one of the biggest stakeholders of this thesis is the department Supply Chain Development who is responsible for the development of ICA?s Supply Chain.The purpose of this study is to examine how ICA?s sales are affected by weather and to make recommendations on how ICA should proceed with its work regarding this issue. By leveraging their Forecasts by including weather, ICA hopes that their logistical metrics amount of spoilage, service levels and number of inventory days will improve. This thesis describes how ICA is working with weather currently, and furthermore it discusses the existing literature within this area.

Previous studies have shown that there is a relationship between voluntary disclosure and analysts' forecast accuracy. However, there has been no research conducted specifically on bridges. Bridges contain information on how components such as price, volume, foreign exchange rates and acquisitions have impacted the financial performance between two periods. The main purpose of this thesis is to investigate the usage of bridges in quarterly financial information of companies listed on Nasdaq Stockholm. We provide a descriptive mapping of bridges and find that 30 out of 268 companies are presenting bridges as a part of their voluntary disclosures, with large firms being the most frequent users.

The Göta älv-bridge is a welded steelbridge which is located in Gothenburg,it connects the inner city of Gothenburgwith the island Hisingen. Cracks wasdiscovered in the steel in 1999-2000which started an investigation of thebridge to clearify the condition of thebridge. The conclusion was a monitoringsystem based on laser light sent throughan optical fiber.This report describes the bridge, thedamages, the monitoring system and thetraffic on the bridge.Stefan Pup, at Vectura Borlänge was mysupervisor during this work. In myinvestigation the costs of themonitoring system and the costs ofclosing the bridge is compared andevaluated. The biggest investigatingpart is the costs of closing the bridge.The results of my investigations is thatclosing the Göta älv-bridge would cost 1107 300 SEK / day.

We have by Statistics Sweden (SCB) been given the task of using different dynamic regression models in order to forecast service price index for sea transport. The aim is to see whether these models provide better Forecasts than those previously used. This essay aim to identify, estimate and evaluate the selected prediction models. Through our data material we were given access to 28 sightings of sea transport index during the period of 2004 q1 to 2010 q4. We have chosen to evaluate three different transfer function models, one ARIMA model and one naive forecasting model. The input variables we decided to test in our transfer function models were the price of petroleum products, the port activity in Swedish ports and the lending rate of Swedish Central bank. The results of our study suggest that transfer function models generally provide better models than the ARIMA model and the naive forecast model.