Sökning: "Long-term interest rate"
Visar resultat 1 - 5 av 117 uppsatser innehållade orden Long-term interest rate.
1. The impact of firm-level greenness on the transmission of monetary policy shocks to stock market prices in Sweden
C-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomiSammanfattning : A growing literature has indicated that monetary policy shocks impact the stock prices of brown firms more strongly than the stock prices of green firms. Monetary policy tightening is associated with lower stock prices since it leads to a higher cost of capital and in turn a higher discount rate for the expected stream of cash flows. LÄS MER
2. Spatial and Temporal Dynamics of Carbon Sequestration in Stockholm County's Green areas : A GIS-based Analysis
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : The human influence of global climate is an issue currently assessed in various mitigation strategies. Stockholm County has committed to becoming carbon neutral by 2040 and negative by 2045 according to the Paris agreement. LÄS MER
3. Långsiktig torvnedbrytning för olika vegetationstyper på dikad skogsmark
Kandidat-uppsats, SLU/School for Forest ManagementSammanfattning : Skogsklädda torvmarker i Sverige dikades i stor utsträckning mellan 1930- och 1980-talen i syfte att höja virkesproduktionen. Till följd av klimatproblemet har intresset för dikade torvmarkers bidrag till växthusgasutsläppen ökat under de senaste decennierna. LÄS MER
4. Interest rates and their impact on the stock market : Evidence from Sweden
Kandidat-uppsats, Linnéuniversitetet/Institutionen för management (MAN)Sammanfattning : This study will be investigating the relationship between short-term and long-term interest rates with the OMX30 stock return expressed in percentage, as well as the effect that the interest rates have on the stock return. The data used in this study has been collected from the dataprogram Datastream with monthly observations from January 2003 until December 2022 resulting in 240 different variables within all three factors over a period of 20 years. LÄS MER
5. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. LÄS MER