84 research outputs found

    Short selling constraints, divergence of opinion and gains to acquisitions

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    In this thesis, I examine whether specific variables that have been directly identified as factors that have a bearing on asset pricing constitute significant determinants of short and long ran gains to acquisitions. Existing literature, starting from Miller (1977), explicitly associates these factors, namely the degree of short selling constraints and disagreement among investors, with overvaluation and asset pricing bubbles. Along these lines, I examine whether these also determine the degree of overpricing of acquiring firms prior to acquisitions and thus their subsequent performance around the acquisition announcement and in the post-acquisition period. In this investigation I control for a number of distinctive characteristics and performance determinants identified in the literature related to gains to acquiring firms. Results indicate that indeed binding short selling constraints and high divergence of opinion about the value of an acquirer leads to its stock being severely overpriced in the pre-acquisition period or around the announcement. This rationally leads to extensive underperformance in the post acquisition period. My evidence can help explain several anomalous stock return patterns related to acquisitions and suggest that the success of an acquisition in terms of creating value for shareholders can be to a large extent determined by the extent of disagreement between investors about the price of the acquiring firm's stock preceding the acquisition announcement

    Financial Hedging and Corporate Investment  

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    Building on the well-documented relationship between corporate financial hedging and firms’ borrowing costs, this study examines the impact of utilizing financial derivative instruments on corporate investment. We document that engaging in financial hedging enables firms to pursue more inorganic growth opportunities in the form of M&As. Acquiring firms with financial hedging programs have a lower borrowing cost and are more likely to pay for their deals with cash and use external borrowing. While financial hedging serves as a vehicle for firms to bring their inorganic investment plans to fruition by facilitating their financing, it also leads to inferior investment choices when conflicts of interest among managers and shareholders are more likely to arise. Our study shows for the first time that the financial flexibility emanating from corporate financial hedging can give rise to agency costs by instigating entrenched managers to overinvest

    Using a Rolling Vector Error Correction Model to Model Static and Dynamic Causal Relations between Electricity Spot Price and Related Fundamental Factors: The Case of Greek Electricity Market

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    The purpose of this study is to investigate short and long run relationships between electricity spot prices in Greece, Brent oil, natural gas, lignite fuel cost and carbon allowances using daily data from 2007 to 2014. Static and dynamic Johansen test are applied in order to identify long run relations and also to assess the evolution over time in the level of cointegration. Additionally we test for Granger Causality in a Vector error correction model and embrace impulse response and variance decomposition techniques to model the dynamic response of electricity prices in excitation of another variable. Overall our results suggest an important long run relation between spot electricity prices in Greece, natural gas price and carbon allowances, while in the short run electricity prices are not affected by any of the other variables, results that are of practical importance for the market regulator as well as the wholesale market participants. Keywords:  Vector Error Correction, Electricity Markets, Fuel Markets JEL Classifications: C4, C5 & C

    Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements

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    The research conducted has been made possible through funding from the Euratom research and training programme 2014-2018 under grant agreement No 754316 for the “CORe Monitoring Techniques And EXperimental Validation And Demonstration (CORTEX)” Horizon 2020 project, 2017-2021.Peer reviewedPublisher PD
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