Essays about: "överavkastning"
Showing result 1 - 5 of 17 essays containing the word överavkastning.
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1. How Do Unexpected Changes in Interest Rates Explain the Variation of Excess Return: Testing an Extended Fama–French Five-Factor Model on the Swedish Stock Market
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In the realm of asset pricing models, the Fama-French five-factor model has become a foundational framework for explaining the variation of excess stock returns. However, as financial markets continue to evolve, there arises a need to explore potential extensions to capture additional sources of risk and return. READ MORE
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2. Real Estate Tokenization : Structure, Performance and Liquidity Implications
University essay from KTH/Fastigheter och byggandeAbstract : This thesis incorporates a quantitative and qualitative approach to studying real estate tokenization. Real estate tokens are a rapidly-growing investment product with a foundation in blockchain technology. READ MORE
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3. Construction and Evaluation of Basket Options using the Binomial Option Pricing Model
University essay from KTH/Matematisk statistikAbstract : Hedge funds use a variety of different financial instruments in order to try to achieve over-average returns without taking on excessive risk - options being one of the most common of these instruments. Basket options is a type of option that is written on several underlying assets that can be used to hedge risky positions. READ MORE
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4. Profitability of Technical Trading Strategies in the Swedish Equity Market
University essay from KTH/Matematisk statistikAbstract : This study aims to see if it is possible to generate abnormal returns in the Swedishstock market through the use of three different trading strategies based on technicalindicators. As the indicators are based on historical price data only, the study assumesweak market efficiency according to the efficient market hypothesis. READ MORE
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5. Trading strategies based on a pattern detection algorithm
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : This thesis aims to develop a method to algorithmically detect patterns used in technical analysis. Non-parametric Kernel regression is used to smoothen the otherwise extremely noisy data of how stock prices develop over time. To find these patterns, Previously described quantitatively defined criteria are used with some modifications. READ MORE