1,720,955 research outputs found
ANALYSIS OF CAPITAL ASSET PRICING MODEL (CAPM) ON HEALTH SECTOR STOCKS AS A GROWING SECTOR DURING THE PANDEMIC
No full textCovid-19 pandemic has changed people's behavior, from initially spending a lot of money to being more active in saving. This pandemic has also increased public interest in investing in line with the desire for financial well-being. Based on KSEI data, this increase in the number of investors is six times higher than at the end of 2017. Capital Asset Pricing Model (CAPM) is a model that can be used to see the expected return in a balanced market. The main objective of CAPM is to assist investors in making optimal stock choices while avoiding risk. This study aims to examine CAPM approach in making investment choices in the health sector. This study uses a quantitative descriptive method. The data used in this study is secondary data in the form of financial reports of health sector companies listed on Indonesia Stock Exchange for the period March 2020 to February 2022. Based on the research results, 18 health sector stocks have a positive average return, 17 stocks are included in the category of efficient stock, and 1 stock is included in the category of inefficient stock. When the stock return exceeds the expected rate of return, then the stock is considered efficient.Pandemi Covid-19 membuat perilaku masyarakat berubah, dari yang awalnya mengeluarkan banyak uang menjadi lebih giat menabung. Pandemi ini pun meningkatkan minat masyarakat berinvestasi seiring dengan kemauan untuk kesejahteraan finansial. Berdasarkan data KSEI peningkatan jumlah investor ini enam kali lipat lebih banyak dibandingkan akhir tahun 2017. Capital Asset Pricing Model (CAPM) merupakan model yang dapat digunakan untuk melihat pengembalian yang diharapkan di pasar yang seimbang. Tujuan utama CAPM adalah untuk membantu investor dalam membuat pilihan saham yang optimal juga menghindari risiko. Penelitian ini bertujuan untuk mengkaji pendekatan CAPM dalam membuat pilihan investasi saham sektor kesehatan. Penelitian ini menggunakan metode deskriptif kuantitatif. Data yang digunakan dalam penelitian ini merupakan data sekunder berupa laporan keuangan perusahaan sektor kesehatan yang terdaftar di Bursa Efek Indonesia periode Maret 2020 hingga Februari 2022. Berdasarkan hasil penelitian, 18 saham sektor kesehatan memiliki rata-rata return yang positif, 17 saham termasuk dalam kategori saham efisien, dan 1 saham termasuk dalam kategori saham tidak efisien. Ketika return saham melebihi tingkat pengembalian yang diharapkan, maka saham tersebut dianggap efisien
PENGARUH PROFITABILITAS, LEVERAGE, DAN LIKUIDITAS TERHADAP RETURN SAHAM LQ45
Full text linkPasar modal memiliki peran yang sangat penting dalam perekonomian suatu negara karena berfungsi sebagai tempat untuk mengalokasikan dana dari pihak yang memiliki kelebihan dana (investor) kepada pihak yang membutuhkan dana (emiten) untuk mengembangkan usahanya. Dinamika pasar modal yang terus berubah menuntut investor untuk secara terus-menerus menganalisis berbagai faktor yang dapat mempengaruhi return saham. Penelitian ini bertujuan untuk menganalisis pengaruh baik secara parsial maupun secara simultan antara variabel Profitabilitas, Leverage, dan Likuiditas terhadap Return Saham pada perusahaan yang terdaftar dalam indeks LQ45 pada Bursa Efek Indonesia periode tahun 2020-2023. Penelitian ini merupakan penelitian kuantitatif dan menggunakan data sekunder yang berasal dari Bursa Efek Indonesia dan Yahoo Finance. Berdasarkan hasil pengujian maka disimpulkan bahwa secara parsial variabel profitabilitas yang diukur menggunakan Return on Asset dan Likuiditas yang diukur menggunakan Current Ratio berpengaruh negatif dan tidak signifikan terhadap return saham pada perusahaan yang terindeks LQ45. Sedangkan variabel Leverage yang diukur menggunakan Debt to Equity Ratio memiliki pengaruh negatif dan signifikan terhadap return saham perusahaan yang terindeks LQ45 periode 2020-2023. Secara simultan variabel ROA, DER, dan CR berpengaruh signifikan terhadap return saham perusahaan yang terindeks LQ45 pada Bursa Efek Indonesia periode 2020-2023.The capital market plays a crucial role in a country's economy as it serves as a platform for allocating funds from those with surplus capital (investors) to those in need of capital (issuers) to develop their businesses. The ever-changing dynamics of the capital market require investors to continually analyze various factors that may influence stock returns. This study aims to analyze the partial and simultaneous effects of the variables Profitability, Leverage, and Liquidity on Stock Returns of companies listed in the LQ45 index on the Indonesia Stock Exchange for the period 2020-2023. This research is quantitative and uses secondary data sourced from the Indonesia Stock Exchange and Yahoo Finance. Based on the test results, it is concluded that partially, profitability variables measured by Return on Assets (ROA) and liquidity measured by Current Ratio (CR) have a negative and insignificant impact on stock returns in companies listed in the LQ45 index. Meanwhile, leverage variable measured by Debt to Equity Ratio (DER) has a negative and significant impact on stock returns in companies listed in the LQ45 index during the period 2020-2023. Simultaneously, ROA, DER, and CR variables collectively have a significant impact on stock returns in companies listed in the LQ45 index on the Indonesia Stock Exchange during the period 2020-2023
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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