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Visar resultat 1 - 5 av 238 uppsatser som matchar ovanstående sökkriterier.
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. Dynamik och tillförlighet i finansiell prognostisering : En analys av djupinlärningsmodeller och deras reaktion på marknadsmanipulation
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Under åren har intensiv forskning pågått för att förbättra maskininlärningsmodellers förmåga att förutse marknadsrörelser. Trots detta har det, under finanshistorien, inträffat flera händelser, såsom "Flash-crash", som har påverkat marknaden och haft dramatiska konsekvenser för prisrörelserna. LÄS MER
3. Temperature Shocks and Price Stability
D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomiSammanfattning : This thesis investigates the interplay between temperatures and prices in an advanced economy context. To this end, I estimate the impulse response to a 1°C temperature anomaly on the UK economy. LÄS MER
4. Drivers of sea level variability using neural networks
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : Understanding the forcing of regional sea level variability is crucial as many people all over the world live along the coasts and are endangered by extreme sea levels and the global sea level rise. The adding of fresh water into the oceans due to melting of the Earth’s land ice together with thermosteric changes has led to a rise of the global mean sea level with an accelerating rate during the twentieth century. LÄS MER
5. On Predicting Price Volatility from Limit Order Books
Master-uppsats, Uppsala universitet/Matematiska institutionenSammanfattning : Accurate forecasting of stock price movements is crucial for optimizing trade execution and mitigating risk in automated trading environments, especially when leveraging Limit Order Book (LOB) data. However, developing predictive models from LOB data presents substantial challenges due to its inherent complexities and high-frequency nature. LÄS MER
