Title: Predictions and explanation models for bankruptcy in stock-companies ? A study of three failed Swedish companies Author: Tim Svanberg Supervisor: Emil Numminen Department: School of Management, Blekinge Institute of technology Course: Bachelor?s thesis in business administration, 10 credits Purpose: The purpose of the thesis is to find explanation for bankruptcy with the help of Prediction models. The purpose is also to add explanation by using Behavioral analysis Method: Quantitative research of bankruptcies using financial Prediction models and qualitative study of psychological pitfalls. The study is deductive. Results: I found that it is possible to explain the bankruptcies using the Prediction models.

Title: Predictions and explanation models for bankruptcy in stock-companies ? A study of three failed Swedish companies Author: Tim Svanberg Supervisor: Emil Numminen Department: School of Management, Blekinge Institute of technology Course: Bachelor?s thesis in business administration, 10 credits Purpose: The purpose of the thesis is to find explanation for bankruptcy with the help of Prediction models. The purpose is also to add explanation by using Behavioral analysis Method: Quantitative research of bankruptcies using financial Prediction models and qualitative study of psychological pitfalls. The study is deductive. Results: I found that it is possible to explain the bankruptcies using the Prediction models. The behavioural perspective adds further explanation.

A frequently asked question in real estate marketing is at what time of the year it is optimal to invest or sell. The aim of the project was to answer this question and to generate a Prediction model over real estate located in the centre of Stockholm that takes seasons into account. With acquired sales statistics in Stockholm between 2010 and 2013 it was possible to perform a linear least square regression, also known as Ordinary Least Square (OLS), with describing qualities and season of sale as parameters. Statistical problems such as Multicollinearity and Heteroskedasticity have been taken into account when deriving the model. The result was a highly accurate Prediction model indicating the profitability of investing in real estate during the summer and selling during the autumn..

This study examines if the Prediction of cardiovascular disease in hypertensive patients can be improved upon when renal function and microalbuminuria are added to the classical risk factors The predictive capability of a model is measured by discrimination, calibration, reclassification and Harrell's C.The results are ambigious. In most cases, microalbuminuria should be included in the model, but the results regarding the other measures of renal function are varied. Therefore, the selection of risk factors to include in the model depends on which measure of Prediction one prioritizes..

The purpose of the thesis has been to explore the use of hedge fund styles when constructing portfolios of hedge funds (i.e. funds of hedge funds). The central question is if the use of hedge fund styles can significantly explain and improve risk adjusted returns (characterized by Sharpe ratios). The study has been done in collaboration with Optimized Portfolio Management AB who desire further knowledge and evaluation of hedge fund styles for their fund of hedge funds.To be able to create successful ex ante portfolios we have explored various Prediction models for both risk and return. Our findings indicate that return Prediction is problematic using simple models such as regression since the risk exposure of the indices appear to change significantly over time.

The purpose of this bachelor-thesis is to investigate the possible effects of lease accounting on the estimation of bankruptcy. This is done by estimating the risk via Prediction models based on accounting ratios for a sample of 43 listed firms in Sweden. Estimation is conducted twice for each firm, once base on unadjusted data as it is presented in the annual report of 2012, and one with data adjusted for operational leases (that is data is treated as if all leases present were to have been reported as financial leases). In the next step it is tested weather the predictive ability of the models is affected by this adjustment or not. For this purpose translation of bankruptcy risk into synthetic credit ratings via interest coverage ratios is done.

SEB Merchant Banking provides to its institutional customers a true market neutral product called Dynamic Manager Alpha (DMA). The DMA is constructed by a long position in an exceptionally well performing mutual fund and a beta adjusted short position in an appropriate index. The key to making the product market neutral is adjusting with the correct beta, since the beta changes, it is very important to have a good model for predicting beta in the future.This master thesis begins with describing what beta is in a CAPM sense. It then continues with recognizing the so called ?Two Beta Trap?, which separates two kinds of beta.

I den här uppsatsen beskrivs en ansats till att med hjälp av statistiska metoder förutse utfallet i förmögenhetsra?ttsliga dispositiva tvistemål. Logistiska- och multilogistiska regressionsmodeller skattades på data för 13299 tvistemål från 5 tingsrätter och användes  till att förutse utfallet för 1522 tvistemål från 3 andra tingsrätter.  Modellerna presterade bättre än slumpen vilket ger stöd för slutsatsen att man kan använda statistiska metoder för att förutse utfallet i denna typ av tvistemål..

  During the 2000s, the ship owners have become more and more concerned thattheir ships save fuel. Several projects have been undertaken to exploit the resourcesavailable on board today?s vessels to reduce fuel consumption. As a stepin this the Swedish Meteorological and Hydrological Institute (SMHI) today offera Weather Routing service to ships. By planning your route more effectivelymuch fuel can be saved.This thesis has been about developing a fuel Prediction program (FPP) forhow much fuel a ship consumes in different sea conditions.

SEB Merchant Banking provides to its institutional customers a true market neutral product called Dynamic Manager Alpha (DMA). The DMA is constructed by a long position in an exceptionally well performing mutual fund and a beta adjusted short position in an appropriate index. The key to making the product market neutral is adjusting with the correct beta, since the beta changes, it is very important to have a good model for predicting beta in the future.This master thesis begins with describing what beta is in a CAPM sense. It then continues with recognizing the so called ?Two Beta Trap?, which separates two kinds of beta.

SEB Merchant Banking provides to its institutional customers a true market neutral product called Dynamic Manager Alpha (DMA). The DMA is constructed by a long position in an exceptionally well performing mutual fund and a beta adjusted short position in an appropriate index. The key to making the product market neutral is adjusting with the correct beta, since the beta changes, it is very important to have a good model for predicting beta in the future.This master thesis begins with describing what beta is in a CAPM sense. It then continues with recognizing the so called ?Two Beta Trap?, which separates two kinds of beta.

SEB Merchant Banking provides to its institutional customers a true market neutral product called Dynamic Manager Alpha (DMA). The DMA is constructed by a long position in an exceptionally well performing mutual fund and a beta adjusted short position in an appropriate index. The key to making the product market neutral is adjusting with the correct beta, since the beta changes, it is very important to have a good model for predicting beta in the future.This master thesis begins with describing what beta is in a CAPM sense. It then continues with recognizing the so called ?Two Beta Trap?, which separates two kinds of beta.

SEB Merchant Banking provides to its institutional customers a true market neutral product called Dynamic Manager Alpha (DMA). The DMA is constructed by a long position in an exceptionally well performing mutual fund and a beta adjusted short position in an appropriate index. The key to making the product market neutral is adjusting with the correct beta, since the beta changes, it is very important to have a good model for predicting beta in the future.This master thesis begins with describing what beta is in a CAPM sense. It then continues with recognizing the so called ?Two Beta Trap?, which separates two kinds of beta.

Mosquitoes are found in extremely large numbers in the lower parts of the River Dalälven. In the year 2000 the mosquito nuisance was especially high, resulting in foundation of the Biological mosquito control project. Since 2001 mosquito larvae are controlled by using a biological pesticide BTI (Bacillus thuringiensis ssp israelensis). The mosquito fauna in the area is dominated by flood water mosquitoes, a group of mosquitoes that are very aggressive and form new generations of mosquitoes during every single flooding event during the summer. To be able to efficiently control the mosquitoes it is essential to know the extension and locality of the flooding.

By using steady-state measurements for predicting emissions under a dynamic drive cycle wouldsave a lot of time and money for the exhaust aftertreatment specialists at Volvo cars. The idea forthis thesis has been to investigate if statistical regression models can be used with good accuracy.Questions included are for example if common operating variables such as engine speed, air-fuelratio etc. is sufficient to predict engine-out emissions over the engine operating range with goodaccuracy. Focus was set on the modelling of warm engine, but also the more complex engineheat-up phase was investigated since it is a great contributor to total emissions. While NOxcouldnot be measured because of malfunctioning measurement equipment, only HC, CO andtemperature at inlet of first catalytic converter has been modelled.