1,720,957 research outputs found
Pattern recognition techniques and financial analysis : a thesis presented in fulfilment of the requirements for the degree of Doctor of Philosophy in Finance at Massey University, Palmerston North, New Zealand
Full text linkListed in 2015 Dean's List of Exceptional ThesesThe balance sheet statement is an essential feature of financial reporting, and is expected to convey complete information on firms’ operating business decisions. Since these decisions are based on the manager’s perception of the existing and future investment opportunities, they cannot be directly observed. This results in two major data analysis issues. First, it is difficult to observe directly the most common operating business decisions; secondly, these decisions may not have a same linear relation to all firms and all firm’s performance measures. This thesis attempts to address these issues in three interconnected essays.
The first essay examines an outcome of the double-entry bookkeeping system when financial transactions simultaneously shift a firm’s financial position, providing the special information to interpret the meaning of a transaction. Using the factor analysis model, this essay makes use of this information, and identifies the five fundamental factors (decisions) that can capture a firm’s time-varying operating business status in a given year. These factors include: financial flexibility, short-term credit, long-term investment, convertible debt usage, and preferred stock usage. The method of extracting these factors controls for missing variable bias, account for limited attention, and provide true decomposition of accounting aggregates such as total asset growth. These factors subsist in predicting future stock returns, forecasting a firm’s value (Tobin’s Q), cash flows, and earnings beyond their well-known determinants.
The second essay explores the sources of return predictability contained in financial flexibility, which is the first factor identified in essay one. The horse races of the asset pricing versus mispricing tests find a significant positive premium on financial flexibility based return factor, and make it a candidate for a new priced factor. The evidence suggests that covariances dominate the characteristics, and it is non-redundant to well-established risk factors. This factor meets the new conservative minimum of t-statistics value of above 3.0 and is constructed using unobserved information.
The final essay addresses the second issue in the data analysis by employing the nonlinear firm grouping technique – the K-means clustering analysis method. Firms are grouped in their 12 natural groups using the five fundamental factors identified in the first essay, and firm size as the clustering criteria. This essay shows how firms differ on priority and the composition of their common operating decisions. This type of firm grouping suggests that operating business decisions are related to firm-specific health and structure instead of industry. This essay recommends the nonlinear firm grouping prior to employing the linear regression models in predicting future performance measures to improve the precision of business analysis
Do investors herd with industries or markets? Evidence from Pakistan stock exchange
No full textThis study investigates investors' herd behavior at market and industry level in Pakistan stock exchange (PSX). The novel contribution of this study is the incorporation of stock trading volume to explore the herding behavior laterally with daily stock returns. Using daily observations of the stock trading volume and stock closing prices of 254 firms listed on PSX for the period January 2000 - December 2014. Our empirical results found stock trading volume is the more robust predictor of herding than stock returns by employing ordinary least square method for cross-sectional absolute deviation (CSAD). Findings under stock returns indicate herding in eight industries at the industry level and in only one industry at market level. However, stock trading volume significantly predicts herding for 5 out of 11 industries both at industry and market level. This study recommends investor to focus more on daily trading volume than daily stock returns to devise their trading strategies
Is financial flexibility a priced factor in the stock market?
No full textThis paper develops a factor analysis-based measure for shifts in corporate financial flexibility (FFLEX) that can be observed from public accounting information. Companies that experience positive shifts in FFLEX are associated with higher future investment growth opportunities. We show that FFLEX is a robust determinant of future stock returns. Firms that have increased their financial flexibility are associated with lower stock returns in the subsequent period. A zero-cost return portfolio produces a significant positive monthly premium of 0.69%, which is driven by covariance (risk). Risk inherent in the flexibility factor is not explained away by either prominent pricing characteristics or factors
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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