The forecast ability of four well-known exchange rate models for theSwedish krona is tested in this thesis. The models that are tested arethe purchase power parity, the real interest differential model, thesticky-price model and a productivity model. In addition to thebenchmark, the random walk, they are also compared to each other.They are all tested on three different horizons one quarter, two quartersand four quarters. The mean squared forecast error criteria and thedirection of change criteria are used for evaluation of the forecastability. Only in a couple of cases are the forecast ability of thetheoretical based models significant better than the random walk..

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 purpose of this paper is to investigate the relationship between Earnings Management (EM) and certain characteristics of management forecasts, among a sample of Swedish listed companies. The forecast characteristics studied are: 1) Forecast venue: How explicitly is the forecast presented? 2) Forecast precision: How detailed is the estimated number? 3) Forecast measure: Which measure(s) are forecasted? We use a sample of 68 annual management forecasts, obtained from year-end reports between the years 2007-2011. EM during the forecasted year (2008-2012) is estimated using the cross-sectional modified-Jones model. The forecast characteristics are then related to the degree of EM during the forecasted period.

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..

Prior studies have shown that earnings management can be used either to inform or to mislead investors about the future performance of a company. However, few studies have examined the impact of earnings management on forecasting return on equity (ROE). The aim of this thesis is to investigate whether the ability to forecast next year's ROE is improved when taking earnings management, measured as discretionary accruals, into account. This is examined by comparing a forecast model that takes the magnitude of discretionary accruals into consideration with a model that does not. The study is based on companies that were listed on the Stockholm Stock Exchange during 2002-2012.

Volvo in Arvika produces wheel loaders, and the production is based on forecasts. When a machine is ordered, the customer can choose what type of equipment he or she wants, and these equipments are also made forecasts on. This is made by giving each equipment an estimated procentual usage that shows how many of the machines that will use this option. Today two people are working with the forecasts, planer A in Eskilstuna and planer B in Arvika. Planer A makes a forecast based on the historical outcome and planer B then makes adjustments of this based on how many options that are ordered.

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.

Being able to predict the future had been an invaluable competitive advantage for any corporation. Forecasting is a vital part of any business, hence a good forecast allows enterprises to invest in a beneficial way. However, there are several ways to prepare forecasts and the forecast methodology can vary. An industry that is dependent on forecasts is the energy industry. By predicting consumers' energy consumption, Swedish energy companies can hedge on the Nordic power market Nord Pool.

Wind is used as an energy source all over the world. To be able to use this effectively, there is a need for as good forecasts and forecast models as possible. One of these models is Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS®) that is used to calculate short time forecasts. This model is used here to calculate wind speeds at two different areas in Västra Götaland, Bengtsfors and Vänersborg. There are also wind measurements with SODAR stations for these areas.

In this essay we aim at finding an appropriate flash estimator of the quarterly Swedish private consumption (PK). With the aid of the statistics program TRAMO we study if monthly data from the consumer survey (HIP) and retail industry (DH) can be used in a transfer function model (TFM) to forecast PK. In the work of assessing the state of the market and the business trend, fast information from the national accounts is needed for making decisions for the economic politics in Sweden. A way to speed up the information process is to use leading economic indicators to asses this development. Another way to get information faster is to use a flash estimate.

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..

This study investigated the performance and cost of scarification with a tractormounted excavator. Due to variations in terrain conditions the performance variedbetween 0.08 and 0.11 ha/E15h and, with a machine cost of 366 SEK/h, the cost ofscarification varied between 3 330 and 4 750 SEK/ha..

Background: Performance measurement as a management control tool has received considerable academic attention. As the number of inter-organisational relationships, such as customer-supplier relationships, increases, there is a new scope for performance measurement as a management control tool. In order for a company to assess the effectiveness of its supplier relationships it has to define, measure and evaluate variables that are critical for the success of the relationship. The role of management control, and thereby of performance measurement, has increasingly been discussed in theory. However, empirical research in this area is still somewhat limited.

Forecasting stock market returns is an interesting topic since more and more Swedes enter and invest in this market. Theory implies, however, that such exercises should be impossible. The aim of this thesis is to investigate the possibility to forecast future stock returns by looking at macroeconomic variables? history. The study is limited to the Swedish market as it is based on the OMXS30-index which represents the 30 most exchanged stocks on Stockholms¬börsen, the Swedish stock exchange.

Agency theory describes the conflict of interest between the principal (stockholders) and the agent (CEO). Aligning the incentives of executives with those of the owners is the most direct way to mitigate the agency problem. If there is no meaningful link between CEO compensation and company performance, it is doubtful that the large sums of assets in public corporations are being managed efficiently. In theory the solution is simple reward the CEO when shareholders wealth increases. The purpose of this paper is to investigate if there is a relationship between company performance and CEO compensation among Swedish companies, in materials and information technology industry.