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Dissertation
Finance comportementale : peut-on s'inspirer des techniques des GAFA pour profiler l'investisseur en étant plus proche de ses préoccupations ?
Authors: --- ---
Year: 2019 Publisher: Liège Université de Liège (ULiège)

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Abstract

L'objectif de ce mémoire est de comprendre si la gestion d'actifs peut utiliser la finance comportementale, les nouvelles technologies et surtout les stratégies des GAFA afin de mieux profiler l'investisseur. Est-ce que cela leur permettrait de fournir une offre de services plus adaptée aux besoins de leurs clients?


Dissertation
Assessing Master's Student Attitudes and Sensitivity Towards Sustainable Investment: a Survey-based Study
Authors: --- ---
Year: 2024 Publisher: Liège Université de Liège (ULiège)

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As times move on with unprecedented climate change and much related environmental issues, the world's financial domain is slowly but surely shifting towards sustainability. The following research addresses knowledge and preferences towards sustainable finance among master's students with an economic background. The research concentrates on assessing students' understanding of sustainable finance concepts, evaluating their willingness to invest in sustainable investments over traditional ones, and analyzing the influence of personal values versus financial returns on their investment decisions. Data was collected by surveying master's students in different economic, business, and management programs. A majority of master’s students knew well what sustainable finance is, including familiarity with ESG, EU taxonomy, and the UN Sustainable Development Goals. In general, they consider investing in sustainable finance and are willing to pay higher fees for sustainability funds over non-sustainable ones. Personal values, rather than the expected financial returns, were the driving force behind investment preferences for the students. This research holds meaning in increasing sustainable finance literacy among the younger generation, who will feature in the shaping of economic landscapes across the globe. The evaluation of the involvement and perceptions of master's students in sustainable investments contributes to a large, growing body of literature that aims at integrating sustainability into education and financial decision-making processes, with the ultimate goal of giving the next generation the wherewithal to drive transition to the sustainable global economy.


Dissertation
The impact of Fintech on the financial services industry
Authors: --- --- ---
Year: 2017 Publisher: Liège Université de Liège (ULiège)

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The rise of financial technologies (Fintech) and innovative startups in the financial services industry, over the past years, confront traditional institutions with major challenges and force them to rethink their way of doing business. These fintech companies disrupt this business sector by developing new and innovative solutions enabling to enhance the customer experience in a more cost-efficient manner. The objective of this thesis is thus to investigate the potential and actual impact of fintech on the financial services industry, globally and in the Luxembourg market. &#13;&#13;Throughout this thesis, a panorama of existing fintech hubs will be established to gain an overview of the current environment before the impact of fintech and their disruptive solutions on the banking and investment advisory industry will be studied. The current impact of the financial technologies will be quantified by a global adoption index. Furthermore, with the assistance of interviewees, the potential of the Luxembourg market, with regards to the adoption of fintech, will be examined.&#13;&#13;The findings of this paper confirm the growing impact of fintech on the financial services industry. Banks, financial institutions and traditional investment advisors are highly recommended to rethink their business model and to integrate digital solutions through collaboration with innovative companies in order to remain competitive and to be able to keep up and with the rising fintech companies. Countries as Luxembourg, facing several limitations, should focus on specific business areas, in which they hold a dominant position, to be able to establish themselves in this new environment and play a major role.


Dissertation
Comparing the returns and particularities of real estate investments versus stocks
Authors: --- --- ---
Year: 2017 Publisher: Liège Université de Liège (ULiège)

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The present research aims to provide a comprehensive analysis and comparison of residential real estate investments and stock investment, for the private individual investor. This work’s geographic focus is the European Union with a special focus on Belgium, Germany, France, Luxembourg, the Netherlands, Italy and Spain.&#13;Unleveraged returns for both types of investments were computed by using the historical data of a diversified stock index, the price/rent ratio in various cities, and the historical housing price appreciation in different E.U. countries. It was found that unleveraged stock returns were more attractive than unleveraged residential real estate returns.&#13;Leveraged returns were then analyzed. It was shown that a residential mortgage is often a better mean of leverage for the individual investor than a margin account and leveraged residential real estate returns surpassed leveraged stock returns.&#13;In the second part of this paper, different particularities that could affect one’s investment vehicle choice were reviewed. Stock investment proved to be more liquid and passive, taxation was very investor-dependent, and ethical forms of investments exist for both investment vehicles.&#13;For the investor focused primarily on obtaining the highest return possible, investing in leveraged residential real estate properties was recommended. For the investor who is more interested in an investment’s liquidity and passivity, stock securities were recommended. Other factors affecting one’s investment vehicle decision were also discussed.


Dissertation
Prediction markets used in political event studies and their ability to anticipate stock market reactions : the case of the United States presidential election of 2016
Authors: --- --- ---
Year: 2018 Publisher: Liège Université de Liège (ULiège)

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This research thesis aims at examining the ability of prediction markets in event studies to account for the stock market behaviour and to accurately forecast its reaction to a political event. The 2016 US presidential election seems to be an interesting setting to conduct that sort of political event study, given the surprise caused by the unexpected election of Donald Trump as the 45th President of the United States.&#13;The equity markets whose expected and actual reactions are analysed are the US, the European and the Developed Countries ex USA stock markets, respectively proxied by the S&P 500, the MSCI Europe and the MSCI World ex USA indexes.&#13;Two methods are applied to conduct this political event study. On the one hand, the first method consists of using a multifactor model to obtain the equity market return not influenced by economic variables. A regression is then conducted to assess whether that part of the market return can be explained by prediction market prices implying a Trump win during the period encompassing pre-election events and the Election Day itself. On the other hand, the alternative method compares the reaction of equity markets to sudden changes in prediction market’s election probabilities following far-reaching election-related events in an attempt to estimate the stock market reaction to the future announcement of the election outcome.&#13;The results from the first method reveal that election probabilities implied by the prediction market had a significant influence on the equity market behaviour, provided that only election-related events which sharply shifted the election odds were considered. The second method indicates that globally market participants were slightly more favourable to a Clinton administration during the last weeks leading to the election, even though her expected positive effect on equities was narrowing as the Election Day approached. While the global prediction market anticipation of a slightly lower equity market value if Trump came to win is consistent with the reaction of the Developed Countries ex USA stock market to the election results, it is not coherent with the response of both the US and the European stock markets. Nonetheless, anticipations about stock market responses to the election outcome were heading in the right direction as far-reaching events occured. Therefore, even though prediction market expectations about market reactions were not really accurate, their evolution was a good indicator of the trend followed by equity markets after the election results’ announcement.


Dissertation
Du compte courant en ligne à la plateforme automatisée d'investissement
Authors: --- --- ---
Year: 2019 Publisher: Liège Université de Liège (ULiège)

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Nowadays, technology and innovation are more and more present in our daily lives. With the increasing use of mobiles and e-commerce, we are experiencing a new digital revolution. The sector of the economy that is most affected by this advance is the financial sector, which has seen an unprecedented increase in the number of Fintechs during the past few years.&#13;It has never been easier to make banking or financial operations or transactions online and even directly on our smartphones. Whether it is making payments over the internet through payment services providers (PSP), or investing money through tools such as robo-advisors, these online platforms are now considered to be more efficient, faster and less costly than humans.&#13;Therefore, the following questions arise : Since they offer different but complementary services, why can’t we link these platforms to improve their respective businesses and make life easier for the customers ? How to invest in the financial markets through a robo-advisor the sleeping money of individuals, PSP users ? How do Paypal, the online payment pioneer, and Acorns, a well-known American robo-advisor, do business together ?&#13;To answer these questions, the study, based on a series of interviews with professionals from the sector in Luxembourg, focuses on the European classification of PSP into three types of licenses (payment institutions, electronic money institutions, credit institutions or bank). Considering the two first separated from the third in terms of strategy and by taking into account the conditions for obtaining the different licenses as set out in the law, it proposes various partnership insights for each of them, in accordance with the needs of any robo- advisor.


Dissertation
Style analytics: news impact on style investing
Authors: --- --- --- ---
Year: 2019 Publisher: Liège Université de Liège (ULiège)

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Behavioral finance and its anomalies have been growing steadily since the 1990s. These various anomalies challenge the rules of traditional finance and consider the investor as irrational. Different characteristics affecting the investor’s behavior are constantly being studied, such as the effects of cognitive psychology or the impact of external information. &#13;This work aims to analyze most impactful textual features that affect the investor throughout his or her information processing. Through a survey on different investment styles, we collected information from selected news: the tone of the news, the author’s or speaker’s opinion(s) and recommendation(s), the trust in the news, the excitement felt by the readers after reading the news, their investment intention(s) and their risk considering these investment intention(s).&#13;Data analyses are then carried out via decision trees. Analyses of the first collected data suggest that the tone of the text and the recommendations of the various speakers are the two most impactful features in the investment process, followed by the author's excitement and opinions. In addition, we note that the authors of the articles also play their role in the investment process. Indeed, it appears that, the more homogeneous the information about an investment style is, the simpler is the tree.&#13;Another important part of this work consisted in textual augmentation. Based on the analyzed data, we would give labels to the different news included in the survey. In order to be able to apply these labels to other un-surveyed texts, we have developed algorithms to create, via a synonym’s generator, new news from the previous ones. &#13;Finally, we added a discussion to bring some criticisms and comments about our tools, possible improvements and suggestions for additional investigations.


Dissertation
The distinct impact of attention and news sentiment on stock prices
Authors: --- --- ---
Year: 2019 Publisher: Liège Université de Liège (ULiège)

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In recent years, there has been an increasing interest in analyzing the impact of information contained in news articles on financial markets. The reaction effect of stock markets to the news’ underlying sentiment has been demonstrated in the literature. This thesis aims at measuring with statistical means if attention is a driving element for sentiment to impact the stock market more consistently. &#13;A Panel Vector Autoregression analysis over the year 2016 on the constituents of the S&P 100 is conducted to assess this impact. I use indirect and direct proxies of attention combined with sentiment found in news, to create an interaction measure. The results show that a one-week lagged impact of sentiment on abnormal return is greater whenever attention is high. These are consistent with the conceptual assumption that attention is needed for any type of information to influence stock markets and has quantitatively been proven in this work.


Dissertation
Sentiment analysis of financial tweets : what impact on the share price of the companies concerned ?
Authors: --- --- ---
Year: 2019 Publisher: Liège Université de Liège (ULiège)

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The desire to know if stock markets are predictable has long attracted the interest of academic research and businesses. The first works on the subject were based on two well-known theories: random walk theory and the efficient market hypothesis (EMH). &#13;Although these theories suggest that news is not used to determine market prices, researchers are trying to demonstrate their usefulness and impact on the different variables.&#13;The purpose of this analysis is to determine whether there is a correlation between the feelings of financial tweets and stock prices. &#13;The litterature has shown a correlation between forum activity, stock volatility and trading volume.&#13;We have been able to prove the correlation using a Vector Autoregression Model.


Dissertation
Sustainable investing : how to take into account ESGs criteria in order to value an asset ?
Authors: --- --- ---
Year: 2020 Publisher: Liège Université de Liège (ULiège)

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The global aim of this thesis is to verify whether sustainability constitutes a relevant factor in capturing the variation of stock returns through a quantitative analysis. In order to check the validity of our hypothesis, which is that sustainability does indeed capture variation of stocks returns, the Fama and French Five-factor model has been adapted to a 6-factor model, adding a sustainability factor to the other validated factors, which are size, value, profitability and investment. &#13;&#13;Sustainability is clearly a hot topic in present times, as a world trend has been increasing over the past year in a worldwide bench of different sectors, including finance. Here, we analyze the history of sustainability in finance, going through relating topics such as ESG, ethics, corporate social responsibility and responsible investments in finance, since they have also encountered an importance growth in business. Sustainability clearly plays a role in today’s business world, which is why it is worth to analyzing if it also plays a role in capturing stock return variations.&#13;&#13;The data used in this paper comes from the Thompsons Reuters Database. The sample has been created from all the NYSE stocks having an ESG score, which had the key figure of sustainability level for a corporation and which also correspond to our sample filtration. The sample we examine extends from January 2003 to December 2017, and is therefore composed of 180 months of data. &#13;&#13;The methodology used in our portfolio and factor construction is the same as that employed by Fama and French. The results consequently helped us compare whether sustainability of a corporation was worthy of consideration while investing in their stocks, for an investor who seeks to maximize his return for a given level of risk, or minimize his risk for a given level of return. &#13;&#13;Our findings concluded that even if a difference of returns does exist between stocks considered sustainable and unsustainable, our sustainable factor could not significantly help to capture return variations. The results of this paper can, indeed, be ameliorated over time as sustainability is a growing trend which may well lead to more significant result in the future and also provide wider sample of data.

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