1,720,962 research outputs found
Exponential Growth Bias in an Inflationary World
No full textThis paper examines the exponential growth bias (EGB), both compound savings questions and in a domain relevant to household finance: inflation-based questions. Here, we test a broad-based sample of 354 adults living in the US initially on estimates for future compound savings and future prices after inflation over time. Here, we find significant EGB in both domains with and without calculators, with significantly higher bias sizes in the inflation questions. After the initial results, each participant completed a short 5 to 10-minute tutorial designed to teach them about EGB. We split the overall participants into two random learning groups: One group was shown how to use interactive charts while the other group learned the formal formula. While we do not find any significant differences of improvements between the two learning groups, we find significantly large decreases in bias sizes in both savings and inflation questions after the tutorial, with and without a calculator, particularly for those who did not know how to make the correct calculation before the tutorial
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“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
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
How to Decrease the Amortization Bias: Experience vs. Rules
Get PDFWe conduct an experimental study that tests the effectiveness of de-biasing a certain form of exponential growth bias found in household finance debt decisions, called the amortization bias. We provide 251 bachelor students at a German university with a short tutorial based on one of three learning methods: experiential learning, learning a simple “I Owe More” debt rule-of-thumb, as well as learning an extended, but more accurate version of the “I Owe More” debt rule. Immediately after completing these tutorials, we retest for the amortization bias and find a significant bias improvement in all three treatments. More importantly, after confronting the same participants with similar debt scenarios approximately three weeks later, we find that those who had previously received a debt tutorial maintain a significantly larger bias improvement over the control group. However, during this short period, most of the individuals who learned the simple and complex rules-of-thumb could no longer apply the rule and reverted back to their biased answers, while the experiential learning group best retained their improvement in bias. We find evidence in this experiment that experience-based learning may be better suited to produce long-lasting improvements for attenuating the amortization bias
Profitable Momentum Trading Strategies for Individual Investors
Get PDFFor nearly three decades, scientific studies have explored momentum investing strategies and observed stable excess returns in various financial markets. However, the trading strategies typically analyzed in such research are not accessible to individual investors due to short selling constraints, nor are they profitable due to high trading costs. Incorporating these constraints, we explore a simplified momentum trading strategy that only exploits excess returns from topside momentum for a small number of individual stocks. Building on US data from the New York Stock Exchange from July 1991 to December 2010, we analyze whether such a simplified momentum strategy outperforms the benchmark after factoring in realistic transaction costs and risks. We find that the strategy can indeed work for individual investors with initial investment amounts of at least $5,000. In further attempts to improve this practical trading strategy, we analyze an overlapping momentum trading strategy consisting of a more frequent trading of a smaller number of “winner” stocks. We find that increasing the trading frequency initially increases the risk-adjusted returns of these portfolios up to an optimal point, after which excessive transaction costs begin to dominate the scene. In a calibration study, we find that, depending on the initial investment amount of the portfolio, the optimal momentum trading frequency ranges from bi-yearly to monthly
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
Individuals Approaching Retirement Have Options (Literally) To Secure a Comfortable Retirement
No full textThis article examines the critical final five-year period leading up to retirement and analyzes whether traditional asset-allocation strategies effectively and consistently assist individuals in reaching their retirement income goals as they approach retirement. These traditional strategies are evaluated against alternative, option-based investment strategies that assure a certain amount of retirement income, after adjusting for inflation, while maximizing stock participation with the remaining funds in the portfolio through the use of options. In this simulation, we find higher overall expected yields in the traditional investment strategies over the evaluated five-year period. However, after applying a constant relative risk aversion (CRRA) coefficient, the leveraged option-based investment strategies, offering a more right-skewed payoff profile, quickly become the preferred strategies compared to the traditional asset-allocation methods. As most individuals approaching retirement possess high levels of risk aversion, these alternative strategies should be seriously considered in this important asset-allocation decision and its implications should not be overlooked by practitioners
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