Sökning: "volatility"
Visar resultat 21 - 25 av 1351 uppsatser innehållade ordet volatility.
21. CROSS-SECTIONAL AND TIME SERIES MOMENTUM RETURNS EVIDENCE FROM THE SWEDISH STOCK MARKET
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : The study investigates the presence of the momentum effect in the Swedish stock market by utilizing both cross-sectional introduced by Jegadeesh and Titman (1993) and time-series momentum introduced by Moskowtozt et al. (2011). The period of analysis is between 1998 to 2022. LÄS MER
22. 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
23. Comply or Die: A Study of ESG Factor Returns and Volatility in the Nordic Countries from 2016 to 2022
D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiSammanfattning : Using corporate environmental, social and governance (ESG) reporting data from 611 publicly traded firms in the Swedish House of Finance's Nordic Compass database, we estimate stock return and volatility exposures to an ESG factor during the period 2016-2022 in the Nordics. Using a Fama-Macbeth methodology, we find that during this time in the Nordic Countries exposure to an ESG factor is compensated with a risk premium and a volatility reduction in a Fama French 4 Factor model. LÄS MER
24. Aktiemarknadsprognoser: En jämförande studie av LSTM- och SVR-modeller med olika dataset och epoker
Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : Predicting stock market trends is a complex task due to the inherent volatility and unpredictability of financial markets. Nevertheless, accurate forecasts are of critical importance to investors, financial analysts, and stakeholders, as they directly inform decision-making processes and risk management strategies associated with financial investments. LÄS MER
25. Modelling Proxy Credit Cruves Using Recurrent Neural Networks
Master-uppsats, KTH/Matematisk statistikSammanfattning : Since the global financial crisis of 2008, regulatory bodies worldwide have implementedincreasingly stringent requirements for measuring and pricing default risk in financialderivatives. Counterparty Credit Risk (CCR) serves as the measure for default risk infinancial derivatives, and Credit Valuation Adjustment (CVA) is the pricing method used toincorporate this default risk into derivatives prices. LÄS MER