1,720,987 research outputs found
The growing role of FinTech and robo-advisors
This chapter provides a summary of key findings from the literature on the growing role of FinTech and robo-advisors in the personal finance space. The chapter describes the various types of FinTech and robo-advice and provides a historical review of the development of FinTech. It outlines the benefits of FinTech and robo-advice relating to accessibility, compliance, efficiencies, and cost savings while also exploring some of the challenges in terms of consumer protection, cyber-security, and data privacy. The chapter discusses a range of tools and techniques being used by practitioners along with how FinTech and robo-advice have disrupted the financial advice market and the impact on the traditional role of the financial advisor. The chapter also discusses the main issues facing researchers and policymakers in the areas of FinTech and robo-advice during a period of rapid change. The future direction of FinTech is discussed, including the increased sophistication of machine learning and artificial intelligence (AI) and how continued disruption will influence customer behavior, business models, and the long-term structure of the financial services market
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Financial Market Participation Of Immigrants And Native-Born Americans: The Role Of Income Uncertainty
This paper uses the National Longitudinal Survey dataset to examine the role of income uncertainty in explaining the likelihood of financial asset ownership among native-born and immigrant Americans. After controlling for a number of socioeconomic, demographic and behavioral factors, the results suggest that individual investors who face greater income uncertainty are less likely to own financial assets. This relationship holds true for immigrants and native-born Americans. Additionally, the likelihood of financial asset ownership increases with income, risk tolerance, and educational attainment for immigrants as well as for natives. Results also suggest that financial market participation among immigrants increases with the number of years they remain in the United States
Effect of False Confidence on Asset Allocation Decisions of Households
This paper investigates whether false confidence, as characterized by a high level of personal mastery and a low level of intelligence (IQ), results in frequent investor trading and subsequent investor wealth erosion across time. Using the National Longitudinal Survey (NLSY79), change in wealth and asset allocation across time is modeled as a function of various behavioral, socio-economic and demographic variables drawn from prior literature. Findings of this research reveal that false confidence is indeed a predictor of trading activity in individual investment assets, and it also has a negative impact on individual wealth creation across time
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Health Insurance Coverage and Income Uncertainty
This paper uses the National Longitudinal Survey data set to examine the role of income uncertainty in explaining the likelihood of health insurance coverage among individuals. After controlling for a number of socioeconomic, demographic, and behavioral factors, the results suggest that individuals who face greater income uncertainty are less likely to have health insurance coverage. Additionally, the likelihood of health insurance coverage increases with income and educational attainment
Retirement Savings Of Private And Public Sector Employees: A Comparative Study
This study examines the retirement plan participation and savings for United States government employees using the Panel Study of Income Dynamics data set. The findings of this study indicate that plan participation increases with age, income and educational attainment. More Government employees are enrolled in defined benefit plans than non Government employees. Also, those government employees who participate in defined contribution plans hold greater amounts within their plans and make greater contributions into their retirement plans than the non government employees. Minorities and employees with lower income are less likely to participate in the Individual Retirement Accounts, while those with higher educational attainment are more likely to participate
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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