Essays about: "EMH"
Showing result 1 - 5 of 56 essays containing the word EMH.
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1. The financial performance differences between ESG and Non-ESG Firms in the Nordic Region – A quantitative analysis
University essay from Göteborgs universitet/Graduate SchoolAbstract : This thesis presents a rigorous empirical analysis on the relationship between financial performance and ESG scores in Nordic firms from 2017 to 2022. The analysis utilizes fixed effects regression methods with cluster-robust standard errors at the company level. READ MORE
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2. Post Earnings Announcement Drift in the Stockholm Stock Exchange : How pronounced is PEAD on beta, traded volume and sector allocation?
University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomiAbstract : Post Earnings Announcement Drift (PEAD) is a market anomaly that challenge the “Efficient Market Hypothesis” (EMH). It was first discovered in 1968 by Ball and Brown. When firms on the stock market have their earnings announcement the stock price will be affected and tend to drift up or down in price for days, weeks or months. READ MORE
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3. Momentum Strategies in Commodity Futures Market: A Quantitative study
University essay from Umeå universitet/FöretagsekonomiAbstract : This study employs a quantitative approach to investigate the momentum phenomenon in the commodity futures market. The study captures the phenomenon using two momentum indicators, namely, MACD and RSI, and extends the scope of indicator utilization to both joint and single usage. READ MORE
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4. Carbon Protectionism?
University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringAbstract : This study examines the market reactions and valuation implications of the Carbon Border Adjustment Mechanism (CBAM) adopted by the European Union (EU). The CBAM is the world's first carbon border import tax aimed at addressing carbon leakage and promoting a transition to a low-carbon economy. READ MORE
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5. Deep Reinforcement Learning Approach to Portfolio Optimization
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This paper evaluates whether a deep reinforcement learning (DRL) approach can be implemented, on the Swedish stock market, to optimize a portfolio. The objective is to create and train two DRL algorithms that can construct portfolios that will be benchmarked against the market portfolio, tracking OMXS30, and the two conventional methods, the naive portfolio, and minimum variance portfolio. READ MORE