1,720,970 research outputs found
Family firm local involvement and the Local Home Bias phenomenon
Research has documented that most of retail and institutional investors exhibit a strong preference for stocks issued by nearby listed firms (i.e. Local Home Bias). This phenomenon shapes corporate market value and the cost of funding. In this paper, we investigate whether the Local Home Bias is enhanced in family firms as a consequence of their symbiotic connection with the local community. Using a dataset of 2,951 Italian firm-year observations (1,481 are family firms) over the period 1999–2011, we find that Local Home Bias is not a widespread phenomenon and mainly occurs in founding family firms where the founder serves as CEO. The Local Home Bias is absent in non-family firms or in family firms where the owner has acquired control through a market transaction. Overall, results suggest that locally committed family firms trigger investor preference for local stocks and, in doing so, exploit the dedicated local clientele which shrinks the cost of funding. Ultimately, we argue the social contributions of family firms to the local community could even have opportunistic traits and a non-trivial economic effect
Local IPO waves, local shocks, and the going public decision
Local IPO waves occur when firms from different industries, but located in the same area, go public in the same time period. We classify IPOs within industry IPO waves and within local IPO waves, and see that the sub-samples of IPOs on the wave by industry only slightly overlap IPOs on the wave by region; IPO waves by region are similar to IPO waves by industry: for example, early-in- the-wave IPOs are equally more underpriced than late-in-the-wave IPOs. We also find the listing decision is sensitive not only to high valuations of firms in the same industry but also to high valuations of firms in the same region but in different industries. Our results do not support information spillover as a driver of local IPO waves, as the post-IPO fall in profitability is more pro- nounced for on-the-wave than for off-the-wave IPO firms and the IPO price revision is not sensitive to the information revealed by concurrent IPOs. Using a difference-in-difference approach, we show that regions hosting IPO waves experience a parallel increase in several economic ratios post the wave. Over- all, our results provide support to local IPO waves originating in positive local shocks
The decision to go public and the IPO underpricing with locally biased investors
We provide new evidence that local investors are peculiarly biased towards local IPO stocks. Taking the well-known investor preference for local stocks a step further, we contribute by showing that local IPOs boost stock market participation far more intensely than local listed firms. Interestingly, the effect is driven by individuals born and raised in the region, having zero effect for those who have moved to the area. Consistent with underwriters significantly under-estimating the local investors’ demand in local IPOs, the probability of a private firm to go public, the IPO underpricing and the cross-sectional volatility of IPO initial returns, increase in remote firms where the local investors’ demand in local IPOs is particularly high. Overall, our results suggest that local investors are crucial for the IPO decision
Geographic Influences on IPO
Firm geographic location matters in IPO decision and outcome. Firms headquartered in wealthier areas with fewer geographically neighboring listed firms are more prone to go public and to be exposed to the “money left on the table” effect. Even controlling for the geographic self-selection bias, first-day return is still negatively affected by the proximity to other listed firms. Findings are consistent with a location premium that comes out suddenly, i.e. when firm goes public, and the myopia of actors taking part of the going public decision process
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
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
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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