Biblioteca Especializada

Behavioral Finance. The Influence of Psychological Effects on Investor Behavior / Dietmar Kubik  

Público ISBD Título : Behavioral Finance. The Influence of Psychological Effects on Investor Behavior Tipo de documento: texto impreso Autores: Dietmar Kubik Editorial: GRIN Verlag : Múnich Fecha de publicación: 2012 ISBN/ISSN/DL: 978-3-346-57624-8 Clasificación: ebook EBSCOhost Resumen: Bachelor Thesis from the year 2012 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,0, Ferdinand Porsche FernFH, language: English, abstract: The behavior of actors in the financial market cannot be explained solely by the assumptions of traditional capital market theory, which assumes rationality on the part of investors. In this paper, we investigated which anomalies of human behavior influence investors in their decision-making behavior. Using the findings of the'Behavioral Finance'theory, it was found that, in addition to fundamental and technical analyses, a large number of psychological effects act on investors. This leads to a distorted perception of information, information processing and ultimately influences one's own decision. Especially in boom and crash phases, market participants often overreact, which can be explained by behavioral economic approaches. The findings provide investors with valuable input to optimize their investment behavior. En línea: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3154024&lang=es& [...] Behavioral Finance. The Influence of Psychological Effects on Investor Behavior [texto impreso] / Dietmar Kubik . - GRIN Verlag : Múnich, 2012. ISBN : 978-3-346-57624-8 Clasificación: ebook EBSCOhost Resumen: Bachelor Thesis from the year 2012 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,0, Ferdinand Porsche FernFH, language: English, abstract: The behavior of actors in the financial market cannot be explained solely by the assumptions of traditional capital market theory, which assumes rationality on the part of investors. In this paper, we investigated which anomalies of human behavior influence investors in their decision-making behavior. Using the findings of the'Behavioral Finance'theory, it was found that, in addition to fundamental and technical analyses, a large number of psychological effects act on investors. This leads to a distorted perception of information, information processing and ultimately influences one's own decision. Especially in boom and crash phases, market participants often overreact, which can be explained by behavioral economic approaches. The findings provide investors with valuable input to optimize their investment behavior. En línea: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3154024&lang=es& [...]

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Commodity, Credit, CBDC? How the Growing Significance of Central Bank Digital Currencies May Alter the Credit Hierarchy of Modern Banking Systems  

Público ISBD Título : Commodity, Credit, CBDC? How the Growing Significance of Central Bank Digital Currencies May Alter the Credit Hierarchy of Modern Banking Systems Tipo de documento: texto impreso Editorial: GRIN Verlag : Múnich Fecha de publicación: 2021 ISBN/ISSN/DL: 978-3-346-57405-3 Clasificación: ebook EBSCOhost Resumen: Bachelor Thesis from the year 2021 in the subject Economics - Monetary theory and policy, grade: 1,0, University Witten/Herdecke, language: English, abstract: In this paper, I will dissect the prospective impact of retail central bank digital currencies with reference to the hierarchy of credit in modern monetary economies. If central banks decide to issue digital currencies in a similar manner to their issuance of cash, public money will become more widely accessible and potentially threaten the business model of commercial banking. Thus, considerations about financial stability need to be critically assessed to ensure that central bank digital currencies can become a positive addition to monetary environments. Being a literature review, this paper will thoroughly revise existing accounts on a variety of challenges and chances regarding a transformation of current structures before discussing these findings. This approach will demonstrate that central bank digital currencies provide a benefit to society and strengthen the monetary sovereignty of the central bank without jeopardizing financial stability. En línea: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3154054&lang=es& [...] Commodity, Credit, CBDC? How the Growing Significance of Central Bank Digital Currencies May Alter the Credit Hierarchy of Modern Banking Systems [texto impreso] . - GRIN Verlag : Múnich, 2021. ISBN : 978-3-346-57405-3 Clasificación: ebook EBSCOhost Resumen: Bachelor Thesis from the year 2021 in the subject Economics - Monetary theory and policy, grade: 1,0, University Witten/Herdecke, language: English, abstract: In this paper, I will dissect the prospective impact of retail central bank digital currencies with reference to the hierarchy of credit in modern monetary economies. If central banks decide to issue digital currencies in a similar manner to their issuance of cash, public money will become more widely accessible and potentially threaten the business model of commercial banking. Thus, considerations about financial stability need to be critically assessed to ensure that central bank digital currencies can become a positive addition to monetary environments. Being a literature review, this paper will thoroughly revise existing accounts on a variety of challenges and chances regarding a transformation of current structures before discussing these findings. This approach will demonstrate that central bank digital currencies provide a benefit to society and strengthen the monetary sovereignty of the central bank without jeopardizing financial stability. En línea: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3154054&lang=es& [...]

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Crypto Washtrading. Empirical Evidence and Measures to Reduce Washtrading / Philipp Zeyer  

Público ISBD Título : Crypto Washtrading. Empirical Evidence and Measures to Reduce Washtrading Tipo de documento: texto impreso Autores: Philipp Zeyer Editorial: GRIN Verlag : Múnich Fecha de publicación: 2021 ISBN/ISSN/DL: 978-3-346-55904-3 Clasificación: ebook EBSCOhost Resumen: Bachelor Thesis from the year 2021 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,3, University of Frankfurt (Main) (House of Finance), language: English, abstract: This thesis makes use of statistical methods such as the Pearson's Chi-squared analysis to find significant deviations in the first significant digit distributions in the historical transaction record of selected regulated crypto exchanges compared to Benford's Law. The analysis of trade size clustering behavior at key round numbers is used in order to detect possible signs of washtrading, followed by the volume spike analysis, where the correlation between the four exchanges in terms of rise and fall of their volume is carefully observed. Aloosh and Li (2019) and Lin et al. (2021) suggest a divergence between regulated and unregulated exchanges in regards to the washtrading activity, in the sense that most regulated exchanges seemed to confirm most statistical analysis while many unregulated crypto exchanges have shown signs of significant violations. Opposed to these findings, the focus will lie on regulated crypto exchanges only, for which partly abnormal patterns are in fact found, at least regarding the first significant digit distribution. Furthermore, the various regulatory frameworks for the selected exchanges are illustrated, consisting of Gemini, Bitstamp, Kraken and Zaif. The centre of attention will then shift to showing off possible incentives for the various parties to engage in washtrading in the first place. The thesis lays out how these activities distort exchange ratings and the connected metrics as well as aid in creating illegal schemes such as pump and dumps. En línea: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3128090&lang=es& [...] Crypto Washtrading. Empirical Evidence and Measures to Reduce Washtrading [texto impreso] / Philipp Zeyer . - GRIN Verlag : Múnich, 2021. ISBN : 978-3-346-55904-3 Clasificación: ebook EBSCOhost Resumen: Bachelor Thesis from the year 2021 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,3, University of Frankfurt (Main) (House of Finance), language: English, abstract: This thesis makes use of statistical methods such as the Pearson's Chi-squared analysis to find significant deviations in the first significant digit distributions in the historical transaction record of selected regulated crypto exchanges compared to Benford's Law. The analysis of trade size clustering behavior at key round numbers is used in order to detect possible signs of washtrading, followed by the volume spike analysis, where the correlation between the four exchanges in terms of rise and fall of their volume is carefully observed. Aloosh and Li (2019) and Lin et al. (2021) suggest a divergence between regulated and unregulated exchanges in regards to the washtrading activity, in the sense that most regulated exchanges seemed to confirm most statistical analysis while many unregulated crypto exchanges have shown signs of significant violations. Opposed to these findings, the focus will lie on regulated crypto exchanges only, for which partly abnormal patterns are in fact found, at least regarding the first significant digit distribution. Furthermore, the various regulatory frameworks for the selected exchanges are illustrated, consisting of Gemini, Bitstamp, Kraken and Zaif. The centre of attention will then shift to showing off possible incentives for the various parties to engage in washtrading in the first place. The thesis lays out how these activities distort exchange ratings and the connected metrics as well as aid in creating illegal schemes such as pump and dumps. En línea: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3128090&lang=es& [...]

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Cybersecurity in Banking  

Público ISBD Título : Cybersecurity in Banking : How the Banking Industry Can Develop an Effective Cyber Security Strategy, and the Challenges of Adequately Protecting Against Potential Cyber-attacks Tipo de documento: texto impreso Editorial: GRIN Verlag : Múnich Fecha de publicación: 2022 ISBN/ISSN/DL: 978-3-346-76907-7 Clasificación: ebook EBSCOhost En línea: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3502789&lang=es& [...] Cybersecurity in Banking : How the Banking Industry Can Develop an Effective Cyber Security Strategy, and the Challenges of Adequately Protecting Against Potential Cyber-attacks [texto impreso] . - GRIN Verlag : Múnich, 2022. ISBN : 978-3-346-76907-7 Clasificación: ebook EBSCOhost En línea: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3502789&lang=es& [...]

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Effects of Data Science, Predictive Analytics & Big Data (DPB) on the Supply Chain / Lukas Ebert  

Público ISBD Título : Effects of Data Science, Predictive Analytics & Big Data (DPB) on the Supply Chain Tipo de documento: texto impreso Autores: Lukas Ebert Editorial: GRIN Verlag : Múnich Fecha de publicación: 2017 ISBN/ISSN/DL: 978-3-346-37337-3 Clasificación: ebook EBSCOhost Resumen: Bachelor Thesis from the year 2017 in the subject Business economics - Review of Business Studies, grade: 1,0, Northumbria University (Newcastle Business School), language: English, abstract: A Study on the Opportunities and Threats of Data Science, Predictive Analytics & Big Data (DPB) on the Services Supply Chain on the example of a key player in the german leasing/financial services market. Working for a financial service provider raises the awareness for certain issues within this sector and how those could be solved by means of new trends such as big data. This undergraduate thesis presents an exploration of the effects of big data on the supply chain and on decision making. A topic of significant relevance, especially since the literature review discovered that there had been insufficient research conducted on the supply chains of service providers. Furthermore, this investigation of existing literature created a frame for the content of the dissertation by displaying the roots and development of big data and its farreaching impact in and beyond the business context. The research method that was used for this dissertation consists of qualitative data collection by interviewing employees of a key player in the German leasing and asset finance market, providing insight to the business from the industry leaders viewpoint. After conducting and analysing the input, the key findings on one hand corresponded with parts of the reviewed literature in terms of the application of big data and on the other hand filled the identified gap regarding services supply chains. More specifically, as a tangible outcome an exemplary supply chain framework was created, based on the identified opportunities and threats regarding an implementation of big data as well as their critical evaluation. The results ranged from chances for increased efficiency of background processes and improved effectivity of sales processes, leading to a greater profitability on one side, to being confronted with issues of privacy, economic viability and the adaptions caused by the better decision making stemming from enhanced insights through data science, predictive analytics and big data, on the other side. In order to fully exploit these identified opportunities, further research within this field is recommenced, especially in regard to the increasing relevance of the sector and the megatrend itself as well as the actual technical implementation. En línea: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=2899117&lang=es& [...] Effects of Data Science, Predictive Analytics & Big Data (DPB) on the Supply Chain [texto impreso] / Lukas Ebert . - GRIN Verlag : Múnich, 2017. ISBN : 978-3-346-37337-3 Clasificación: ebook EBSCOhost Resumen: Bachelor Thesis from the year 2017 in the subject Business economics - Review of Business Studies, grade: 1,0, Northumbria University (Newcastle Business School), language: English, abstract: A Study on the Opportunities and Threats of Data Science, Predictive Analytics & Big Data (DPB) on the Services Supply Chain on the example of a key player in the german leasing/financial services market. Working for a financial service provider raises the awareness for certain issues within this sector and how those could be solved by means of new trends such as big data. This undergraduate thesis presents an exploration of the effects of big data on the supply chain and on decision making. A topic of significant relevance, especially since the literature review discovered that there had been insufficient research conducted on the supply chains of service providers. Furthermore, this investigation of existing literature created a frame for the content of the dissertation by displaying the roots and development of big data and its farreaching impact in and beyond the business context. The research method that was used for this dissertation consists of qualitative data collection by interviewing employees of a key player in the German leasing and asset finance market, providing insight to the business from the industry leaders viewpoint. After conducting and analysing the input, the key findings on one hand corresponded with parts of the reviewed literature in terms of the application of big data and on the other hand filled the identified gap regarding services supply chains. More specifically, as a tangible outcome an exemplary supply chain framework was created, based on the identified opportunities and threats regarding an implementation of big data as well as their critical evaluation. The results ranged from chances for increased efficiency of background processes and improved effectivity of sales processes, leading to a greater profitability on one side, to being confronted with issues of privacy, economic viability and the adaptions caused by the better decision making stemming from enhanced insights through data science, predictive analytics and big data, on the other side. In order to fully exploit these identified opportunities, further research within this field is recommenced, especially in regard to the increasing relevance of the sector and the megatrend itself as well as the actual technical implementation. En línea: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=2899117&lang=es& [...]

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Evaluation of Potential Use Cases for Blockchain in the Insurance Industry / Ricardo Escoda  

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