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The future price of the FOREX rate is important for export-dependent countries and companies and the research regarding price prediction of FOREX is skewed towards the major currency pairs, leaving the smaller currency pairs to be unexplored. The study aimed to answer if the Multi-layer Perceptron (MLP) or the Long Short-Term Memory (LSTM) is the most suitable model for forecasting the rate of a s
In this study, the impact of various traits and effects on auction price of Texel, Suffolk and German white-headed mutton rams was determined. Furthermore, (co)variance components between auction price and performance traits recorded at licensing were estimated. Data from 1988 to 2007 were extracted from the recording database of the Sheep Breeding Organisation in Schleswig-Holstein, Germany. Auct
In this paper, we model the price differentials between A shares and H shares in the Chinese stock markets with both macroeconomic factors and firm specific factors, which successfully explain the A share price premium. Discounts of H-share prices relative to A-share prices are related to the contemporaneous movements of the H-share local market index relative to the A-share local market index, th
The thesis evaluates how house price development can indicate risk of mortgage defaults. This leads to conclusions about the capability that the method of the thesis has in predicting mortgage default related crises. The questions asked regard which states in the U.S. had the most volatile house prices, which states had unexpectedly high house prices at the end of 2006, and how house prices are af
This paper addresses the usefulness of studying the interplay between central bank independence and centralized wage bargaining in the context of a repeated monetary policy game. Conventional macroeconomic wisdom suggests that because of increased credibility and the possibility to overcome inflationary bias, increased central bank independence has a negative effect on inflation rates. However, th
Our research uses advanced technology to generate neurons from novel cell sources with the aim to extensively define the subtype and function of the generated neurons and their potential for therapeutic use in the future. For this we are using reprogramming technology in animal models or human stem cell culture system, together with electrophysiology, RNA sequencing, tracing technologies and cell Our research uses advanced technology to generate neurons from novel cell sources with the aim to extensively define the subtype and function of the generated neurons and their potential for therapeutic use in the future. For this we are using reprogramming technology in animal models or human stem cell culture system, together with electrophysiology, RNA sequencing, tracing technologies and cell
Our research group on paediatric haematology is focused on bleeding- and coagulation disorders in children, in particular on haemophilia and venous thrombosis. Haemophilia A and B are hereditary, X chromosomal recessive bleeding disorders caused by deficiency or absence of coagulation factors VIII (FVIII) or IX (FIX) in the blood. The general aim of this part of the research program is to improve
The Urban Systems and Dynamics group, led by Prof. Nik, advances the boundaries of Building Physics to explore the complex interactions between buildings, urban systems, and climate. Our research focuses on designing and optimizing strategies for buildings and urban systems (with a big focus on energy systems) that drive the sustainable urban transition and enhance the built environment's resilien
Sökandet efter en företagsekonomiskt optimal internprissättning har pågått i årtionden. En intressant lösning på problemet syftade till, genom att använda sig av spelteori, förhandlingsteori och internprissättning, att skapa en kvantitativ lösning för att optimera de globala vinsterna för en multinationell koncern. Denna uppsats syftar till att identifiera och analysera the legala frågorna som uppThe search of a business-optimal transfer price has been going on for decades. One interesting solution aimed to, by the use of game theory, bargaining theory and transfer pricing, create a quantitative solution to optimize the global profits of a multinational enterprise. This paper aims to identify and analyze the legal questions emerging from that solution. The paper also aims to discuss the us
This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. Evaluation metrics include root of mean squared error (
