Sökning: "EWMA"
Visar resultat 21 - 25 av 39 uppsatser innehållade ordet EWMA.
21. Volatility Forecasting in Bull & Bear Markets
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : This thesis considers the performance of variance forecasting in bull and bear markets. Three asset indices, the DAX, the Standard & Poor’s 500 and the CurrencyShares Euro Trust, are split into bull and bear periods whereby variance forecasting is evaluated in the two states. LÄS MER
22. Measuring Portfolio Value at Risk
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : On estimating portfolio Value at Risk, the application of traditional univariate VaR models is limited. Under specific circumstance, the VaR estimation could be inadequate. Facing the financial crises and increasing uncertainty in financial markets, effective multivariate VaR models have become crucial. LÄS MER
23. Industrin och SPS : Möjligheter utifrån människa, teknik och organisation
Master-uppsats, Kvalitetsteknik; Tekniska högskolanSammanfattning : Detta examensarbete utförs i samarbete med företaget Järn AB, vilket är ett svenskt företag med gjuteri, pulvermetallurgi samt bearbetningsverksamhet. Produkterna är av varierande typ, storlek och volym, avsedd för ett brett kundsegment däribland fordonsindustrin samt maskintillverkare. LÄS MER
24. Downside Risk Measurement of Thailand Equity Mutual Funds
Magister-uppsats, Lunds universitet/Företagsekonomiska institutionenSammanfattning : Abstract Value at Risk (VaR) is a simple, transparent and consistent measure that summarizes all sources of downside risk. VaR has gained acceptance in the banking industry in accordance to Basel II rules which require banks to use VaR in calculations of market risk. VaR as a risk measure is not as widely accepted in the investment industry. LÄS MER
25. Applying Value at Risk (VaR) analysis to Brent Blend Oil prices
Magister-uppsats, Avdelningen för ekonomiSammanfattning : The purpose with this study is to compare four different models to VaR in terms of accuracy, namely Historical Simulation (HS), Simple Moving Average (SMA), Exponentially Weighted Moving Average (EWMA) and Exponentially Weighted Historical Simulation (EWHS). These VaR models will be applied to one underlying asset which is the Brent Blend Oil using these confidence levels 95 %, 99 % and 99, 9 %. LÄS MER