Essays about: "volatility"
Showing result 36 - 40 of 1148 essays containing the word volatility.
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36. Board diversity, an unsolvable problem? : A comprehensive study about Swedish and Danish listed companies on how board diversification affects a performance measure.
University essay from Linnéuniversitetet/Institutionen för nationalekonomi och statistik (NS)Abstract : On the surface, Sweden and Denmark are two similar countries, but behind the closed boardroom doors, things look different. These two countries have chosen different approaches to achieving their goals and the diversification within the boards differs markedly. READ MORE
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37. R&D Volatility and Market Value in the Pharmaceutical Industry. An empirical study on moderating effects of size and R&D intensity in the U.S. market.
University essay from Lunds universitet/Företagsekonomiska institutionenAbstract : .... READ MORE
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38. Navigating the Volatility Adjustment in Solvency II : Portfolio Optimization for Balance Sheet Stability
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : This thesis investigates volatility adjustment from the Solvency II regulation and portfolio allocation methods for pension- and life insurance companies aiming to maintain a stable balance sheet. The volatility adjustment is a component added to the risk-free rate for discounting the present value of future liabilities, and it is calculated monthly based on the spread levels in the fixed-income market. READ MORE
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39. Global Supply Chain Optimisation by Using Sensing Solutions
University essay from Lunds universitet/ProduktionsekonomiAbstract : Problemformulering: Internationalisering, högre volatilitet på efterfrågan och snabbare försörjningskedjor är faktorer som gör den globala kedjan mer komplex. Därför strävar organisationer efter en bättre bild av deras försörjningskedja realtidsprestanda. READ MORE
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40. A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market
University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenAbstract : This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. READ MORE