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In this paper regularization of the correlation matrix between futures contracts is examined. With starting point in the recently established HPCA framework (Avellaneda, 2019), a couple of different extensions to the one-factor model is suggested. Extensions are made in terms of adjusting the model according to different cluster structures. The data consists of futures contracts on a wide variety
Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurobehavioral problems among both children and adults. Around 5% of the children and 3- 4% of the adults suffers from the condition in Sweden. In general, diagnosed children achieve poorer results on standardized tests, receive lower grades and are more prone to dropout of school. Adults tend to struggle with work-performa
China’s economic development has not only led to enormous growth figures, but also to a severe degradation of the environment. Mass-consumption of fossil fuels like oil and coal in China contributed to reaching the level of the largest greenhouse gas emitter worldwide. For the Chinese government to react, it is crucial to take the electricity purchase decisions of households into account to succes
Supramolecular chemistry is a field in which noncovalent interactions between molecules are utilised to promote the formation of larger molecular assemblies. A single monomer consisting of a bicyclo[3.3.1]nonane backbone equipped with hydrogen bonding motifs and solubilising groups is synthesised. Utilisation of different hydrogen bonding motifs and appropriate solvent renders self-aggregation of
This master thesis project was performed in collaboration with Johnson Matthey. Johnson Matthey is a worldwide company working with sustainable technologies. The site in Perstorp, where this work was performed, focus on formaldehyde production. In order to continuously improve chemical processes, simulation and modeling are advantageous tools. They can give a better understanding of the processes
In Sweden, what we eat accounts for about a third of the consumption-based greenhouse gas emissions, and there is strong evidence that the most effective way to reduce emissions is to switch to a more plant-based diet. A shift is currently underway in the Swedish food system; the market for plant-based products is showing an exponential growth, coupled with, for the first time since the 1950s, a d
Att skapa en cirkulär ekonomi med hållbara produkter är en nödvändighet för dagens samhälle, särskilt kopplat till de klimatutmaningarna som vi har idag från bland annat överkonsumtion och dålig hantering vid slutet av produkternas livslängd. Projektet fokuserar på att ta fram en produkt som gjorts på återvunna material och att utmana tidigare materialbegränsningar. Detta har gjorts med en betonin
Most electricity in Lebanon is produced by burning fossil fuels, which produces more than one half of domestic greenhouse gas emissions, and the state-owned electricity companies are unable to meet the demand. To increase the country’s generation capacity and simultaneously combat the effects of climate change, the government aims to produce 30% of its electricity from renewables by 2030. It is ho
A Jacobian free multigrid preconditioner for linear problems arising from Implicit Discontinuous Galerkin (DG) discretizations is implemented. The preconditioner is based on a multigrid method for a low order Finite volume (FV) discretization on a subcellgrid. L2-projections are introduced as a strategy to translate between the discretizations. Numerical tests on advection dominated linear advecti
One fifth of the energy consumed by buildings in Sweden is by those built before 1945, many of them constructed from solid masonry walls. Improving their heating energy consumption is a challenge we must face in light of human’s impact on climate change as well as increasing energy costs. Improving thermal performance can be achieved with many insulating materials however the environmental impact
Interdisciplinary teams are considered to be of great importance for addressing complex problems of the present and future, as they are able to address the complexity of society’s most pressing issues such as climate change, or healthcare solutions. They can be found in multiple areas concerned with future- related problems. Research on specific fields such as healthcare and social work suggests t
Interdisciplinary teams are considered to be of great importance for addressing complex problems of the present and future, as they are able to address the complexity of society’s most pressing issues such as climate change, or healthcare solutions. They can be found in multiple areas concerned with future- related problems. Research on specific fields such as healthcare and social work suggests t
This thesis examines how female-targeting fintech firms can internationalize in ways that genuinely promote financial inclusion for women. Conducted as an exploratory interview study with Female Invest, it builds on the broader observation that gender remains largely absent from fintech’s outlook. The study addresses two key research gaps. First, financial inclusion efforts often overlook how cult
The bulk of Norwegian offshore oil and gas platforms are self-sustained with energy, burning a portion of the extracted gas in turbines to power production. Replacing this energy with electricity from renewables – electrifying – has been put forward as a way to quickly slash domestic emissions. This, all while retaining and expanding fossil fuel production, whose lion’s share of emissions stem not
Biometric fingerprint recognition is a cornerstone of modern authentication systems, yet conventional convolutional neural network approaches often struggle with challenging cases, subjected to noise and partial overlap. This thesis explores the potential of transformer-based architectures to address these challenges. We design, implement, and evaluate five models on a large-scale dataset of over
The dune regions of the Curonian Spit are undergoing a gradual deflation and transformation towards a vegetated surface as a result of extensive forestation and dune stabilization efforts limiting sand input to the dunes. Current dune monitoring in the Spit relies mostly on field levelling, whereas radar interferometry – used extensively in land surface monitoring elsewhere – is not utilized. This
Electrocardiogram (ECG) is an important tool for diagnosing myocardial infarction (MI), but analyzing the ECG signals can sometimes be difficult for physicians. Machine learning could potentially help provide a fast and consistent interpretation of ECG signals. This study aims to evaluate the performance of different machine learning models for classifying MI using ECG data from the PTB-XL dataset
We investigate the validity of thermodynamic uncertainty relations (TURs) in a strongly correlated quantum dot system operating in the Kondo regime. TURs place fundamental bounds on the trade-off between precision and dissipation in non-equilibrium systems, and while these bounds are rigorously proven for classical stochastic dynamics, they are not guaranteed to hold in quantum-coherent, strongly
