Robo Advisors. How to increase trust in Artificial Intelligence compared to traditional financial advisory PDF Download
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Author: Alina Riecker
Publisher: GRIN Verlag
ISBN: 3346321673
Category : Business & Economics
Languages : en
Pages : 80
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Book Description
Bachelor Thesis from the year 2020 in the subject Business economics - Review of Business Studies, grade: 1.1, Reutlingen University (ESB Business School), language: English, abstract: Nowadays, tech companies have entered our lives in nearly every possible area of application, from smart coffee machines to algorithmic-based music recommendations. Logically, it is not a far stretch that the financial sector will also experience disruption through technology-oriented startups. The so-called FinTech’s, short for financial technology, can be independent, newly found startups, or can be implemented by existing financial institutions as a complementary sales channel and span a wide ar-ray of functions, including peer-to-peer lending and crowdfunding, cryptocurrencies and blockchain, and also, robotic investment advice. It is no surprise that this development will affect traditional financial advisory. Mainly robo advisors are seen as one of the most disruptive technologies in the financial sector. What used to be a people’s business and strived through human connections and relationships turned digital: a robo advisor can replace all functions of traditional financial advisors at a lower cost point and while being available 24/7. Based on financial theory, the offer investors personalized portfolios – all through pressing buttons on a phone screen. Whilst promising to streamline financial investment and to make it accessible to everybody, regardless of wealth, customer adoption compared to the global financial service market has been low. Disruptive technologies offer a lot innovative and smart features, but customers might be hesitant to try the solutions. People rely on the experience of others to build trust, and the little experience of early adopters might not be enough to influence trust to a large extent. Trust is an important factor for all services or technologies, but especially in unprecedent areas such as fully automated financial advice. The thesis will be based on a literature review methodology and will assess the theoretical background of trust through analyzing and comparing previously done research on the matter. Additionally, a quantitative study focusing on trust-building factors in robo advisors has been used as a basis to form conclusions regarding the increase of trust. Industry insights, journal articles and conference papers build the foundation of this thesis. They were identified through the usage of scientific search engines, but also through backward and forward referencing searches. This approach provided a multitude of applicable literature from the fields of artificial intelligence and trust.
Author: Alina Riecker
Publisher: GRIN Verlag
ISBN: 3346321673
Category : Business & Economics
Languages : en
Pages : 80
Get Book Here
Book Description
Bachelor Thesis from the year 2020 in the subject Business economics - Review of Business Studies, grade: 1.1, Reutlingen University (ESB Business School), language: English, abstract: Nowadays, tech companies have entered our lives in nearly every possible area of application, from smart coffee machines to algorithmic-based music recommendations. Logically, it is not a far stretch that the financial sector will also experience disruption through technology-oriented startups. The so-called FinTech’s, short for financial technology, can be independent, newly found startups, or can be implemented by existing financial institutions as a complementary sales channel and span a wide ar-ray of functions, including peer-to-peer lending and crowdfunding, cryptocurrencies and blockchain, and also, robotic investment advice. It is no surprise that this development will affect traditional financial advisory. Mainly robo advisors are seen as one of the most disruptive technologies in the financial sector. What used to be a people’s business and strived through human connections and relationships turned digital: a robo advisor can replace all functions of traditional financial advisors at a lower cost point and while being available 24/7. Based on financial theory, the offer investors personalized portfolios – all through pressing buttons on a phone screen. Whilst promising to streamline financial investment and to make it accessible to everybody, regardless of wealth, customer adoption compared to the global financial service market has been low. Disruptive technologies offer a lot innovative and smart features, but customers might be hesitant to try the solutions. People rely on the experience of others to build trust, and the little experience of early adopters might not be enough to influence trust to a large extent. Trust is an important factor for all services or technologies, but especially in unprecedent areas such as fully automated financial advice. The thesis will be based on a literature review methodology and will assess the theoretical background of trust through analyzing and comparing previously done research on the matter. Additionally, a quantitative study focusing on trust-building factors in robo advisors has been used as a basis to form conclusions regarding the increase of trust. Industry insights, journal articles and conference papers build the foundation of this thesis. They were identified through the usage of scientific search engines, but also through backward and forward referencing searches. This approach provided a multitude of applicable literature from the fields of artificial intelligence and trust.
Author: Peter Scholz
Publisher: Springer Nature
ISBN: 3030408183
Category : Business & Economics
Languages : en
Pages : 302
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Book Description
Robo-Advisory is a field that has gained momentum over recent years, propelled by the increasing digitalization and automation of global financial markets. More and more money has been flowing into automated advisory, raising essential questions regarding the foundations, mechanics, and performance of such solutions. However, a comprehensive summary taking stock of this new solution at the intersection of finance and technology with consideration for both aspects of theory and implementation has so far been wanting. This book offers such a summary, providing unique insights into the state of Robo-Advisory. Drawing on a pool of expert authors from within the field, this edited collection aims at being the vital go-to resource for academics, students, policy-makers, and practitioners alike wishing to engage with the topic. Split into four parts, the book begins with a survey of academic literature and its key insights paired with an analysis of market developments in Robo-Advisory thus far. The second part tackles specific questions of implementation, which are complemented by practical case studies in Part III. Finally, the fourth part looks ahead to the future, addressing questions of key importance such as artificial intelligence, big data, and social networks. Thereby, this timely book conveys both a comprehensive grasp of the status-quo as well as a guiding outlook onto future trends and developments within the field.
Author: Volker Nissen
Publisher: Springer
ISBN: 3319959999
Category : Business & Economics
Languages : en
Pages : 423
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Book Description
This book brings together cutting-edge research on consulting in a single volume, thus helping to make the state-of-the-art in the field of consulting research more accessible, to promote better practices in business, and to spark further research. The respective articles approach consulting from very different angles, taking into account various approaches for and fields of consulting, consulting providers, clients and markets, as well as technologies and trends. The book will benefit all consultants who want to critically reflect on their own methods and approaches in light of recent scientific findings. It also offers a helpful guide for students in Management and IT-related courses who are either considering a career in consulting or want to be informed consulting clients. Lastly, the book provides a comprehensive review of current developments and trends in consulting that will foster future contributions in this important research field.
Author: Söhnke M. Bartram
Publisher: CFA Institute Research Foundation
ISBN: 195292703X
Category : Business & Economics
Languages : en
Pages : 95
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Book Description
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
Author: Silas Meadowlark
Publisher: Independently Published
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
The Rise of Robo Advisors The investment management industry has undergone a remarkable transformation, with the rise of robo advisors taking center stage. These digital platforms, powered by sophisticated algorithms and advanced data analytics, have disrupted the traditional financial advisory model, offering a new and innovative approach to wealth management. Understand the robo advisor landscape and its implications for the future of the industry. The Advantages of Robo Advisors Robo advisors have gained popularity due to their cost-effectiveness, scalability, flexibility, and transparency. These digital platforms can efficiently manage a large number of client accounts, provide personalized investment strategies, and offer 24/7 access to investment management services. Challenges and Limitations of Robo Advisors While robo advisors have revolutionized the wealth management industry, they also face several challenges and limitations, such as the lack of human interaction, reliance on algorithms, and the evolving regulatory situation.
Author: Aki Ranin
Publisher: Packt Publishing Ltd
ISBN: 1801819009
Category : Computers
Languages : en
Pages : 250
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Book Description
Build your own robo-advisor in Python to manage your investments and get up and running in no time Purchase of the print or Kindle book includes a free PDF eBook Key FeaturesExplore the use cases, workflow, and features that make up robo-advisorsLearn how to build core robo-advisor capabilities for goals, risk questions, portfolios, and projectionsDiscover how to operate the automated processes of a built and deployed robo-advisorBook Description Robo-advisors are becoming table stakes for the wealth management industry across all segments, from retail to high-net-worth investors. Robo-advisors enable you to manage your own portfolios and financial institutions to create automated platforms for effective digital wealth management. This book is your hands-on guide to understanding how Robo-advisors work, and how to build one efficiently. The chapters are designed in a way to help you get a comprehensive grasp of what Robo-advisors do and how they are structured with an end-to-end workflow. You'll begin by learning about the key decisions that influence the building of a Robo-advisor, along with considerations on building and licensing a platform. As you advance, you'll find out how to build all the core capabilities of a Robo-advisor using Python, including goals, risk questionnaires, portfolios, and projections. The book also shows you how to create orders, as well as open accounts and perform KYC verification for transacting. Finally, you'll be able to implement capabilities such as performance reporting and rebalancing for operating a Robo-advisor with ease. By the end of this book, you'll have gained a solid understanding of how Robo-advisors work and be well on your way to building one for yourself or your business. What you will learnExplore what Robo-advisors do and why they existCreate a workflow to design and build a Robo-advisor from the bottom upBuild and license Robo-advisors using different approachesOpen and fund accounts, complete KYC verification, and manage ordersBuild Robo-advisor features for goals, projections, portfolios, and moreOperate a Robo-advisor with P&L, rebalancing, and fee managementWho this book is for If you are a finance professional or a data professional working in wealth management and are curious about how robo-advisors work, this book is for you. It will be helpful to have a basic understanding of Python and investing concepts. This is a great handbook for developers interested in building their own robo-advisor to manage personal investments or build a platform for their business to operate, as well as for product managers and business leaders in financial services looking to lease, buy, or build a robo-advisor.
Author: Paolo Sironi
Publisher: John Wiley & Sons
ISBN: 1119226988
Category : Business & Economics
Languages : en
Pages : 199
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Book Description
A survival guide for the FinTech era of banking FinTech Innovation examines the rise of financial technology and its growing impact on the global banking industry. Wealth managers are standing at the epicenter of a tectonic shift, as the balance of power between offering and demand undergoes a dramatic upheaval. Regulators are pushing toward a 'constrained offering' norm while private clients and independent advisors demand a more proactive role; practitioners need examine this banking evolution in detail to understand the mechanisms at work. This book presents analysis of the current shift and offers clear insight into what happens when established economic interests collide with social transformation. Business models are changing in profound ways, and the impact reaches further than many expect; the democratization of banking is revolutionizing the wealth management industry toward more efficient and client-centric advisory processes, and keeping pace with these changes has become a survival skill for financial advisors around the world. Social media, big data analytics and digital technology are disrupting the banking industry, which many have taken for granted as set in stone. This book shatters that assumption by illustrating the massive changes already underway, and provides thought leader insight into the changes yet to come. Examine the depth and breadth of financial technology Learn how regulations are driving changing business models Discover why investors may become the price-makers Understand the forces at work behind the rise of FinTech Information asymmetry has dominated the banking industry for centuries, keeping the bank/investor liability neatly aligned—but this is changing, and understanding and preparing for the repercussions must be a top priority for wealth managers everywhere. Financial Innovation shows you where the bar is being re-set and gives you the insight you need to keep up.
Author: Daniel Ben-David
Publisher:
ISBN:
Category :
Languages : en
Pages : 65
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Book Description
We compare readiness to adopt and willingness to pay for (as a proxy for trust) the same financial advice labeled three ways (algorithm, human, and a hybrid of algorithm and human) using an online and a computerized laboratory experiment. Our experiments were conducted before and at the outbreak of the COVID-19 pandemic. We observe a significantly higher readiness to adopt financial advisors during the pandemic, a period of high volatility in the financial markets, compared to before. In the pre-pandemic period, for the same potential financial advice, we observe age and gender differences in the readiness to adopt and pay for the different advice options. These differences hold after controlling for a vector of technology adoption constructs, financial literacy, quantitative knowledge, and personal and demographic proxies. Yet, at the outbreak of the pandemic, we observe less sensitivity to the advisor's purported type and no algorithm aversion. Our findings suggest that during a crisis, individuals care more about having an advisor and are less sensitive to the type of advisor, whereas in ordinary times, they are more sensitive to the type of advisor and overall desire less advice. Our findings relate to the financial, trust, artificial intelligence, and information literatures.
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Author: Riccardo Viale
Publisher: Edward Elgar Publishing
ISBN: 1803923156
Category : Business & Economics
Languages : en
Pages : 267
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Book Description
Following rapid technological advancements that have taken place throughout the late twentieth and early twenty-first centuries, this intriguing book provides a dynamic agenda for the study of artificial intelligence (AI) within finance. Through an in-depth consideration of the use of AI, it utilizes case study examples to investigate AI’s effectiveness within investment and banking.
