Peran OCF Pada Pengaruh Size, Leverage, Cash dan ROA Terhadap Harga Saham

2021 ◽  
Vol 8 (2) ◽  
pp. 116
Author(s):  
H. Hersugondo ◽  
Chessa F. Puspitaningrum ◽  
Farrell E. Kairupan ◽  
Khrisna G. Dhaniswara ◽  
Nesya Q. Nafisa
Keyword(s):  
Random Effect

Perekonomian di Indonesia tidak bisa untuk tidak dikaitkan dari pasar modal. Perusahaan banyak menawarkan kepemilikan perusahaan dalam bentuk saham kepada masyarakat. baik penjual maupun pembeli jelas mengharapkan adanya laba yang dapat diperoleh dari kegiatan yang dilakukan di pasar modal. Penelitian ini menguji apakah arus kas operasional dari perusahaan memoderasi kondisi keuangan perusahaan dan harga saham. model analisis regresi yang digunakan adalah model random effect. Objek penelitian yang digunakan adalah perusahaan sektor perindustrian dengan subsektor produk dan perlengkapan bangunan, komponen dan peralatan kelistrikan, mesin konstruksi dan peralatan berat, mesin dan komponen perindustrian, peralatan kantor serta jasa pendukung bisnis pada tahun 2018-2021. Dari penelitian ini ditemukan bahwa ukuran perusahaan dan leverage mempengaruhi harga saham. Selain itu peneliti juga menemukan bahwa OCF tidak memperkuat hubungan antara kondisi keuangan terhadap harga saham. Penelitian ini diharapkan dapat membantu pemerintah dalam merumuskan kebijakan untuk merangsang perekonomian yang sedang lesu. Mengingat penelitian yang dilakukan secara tersirat merepresentasikan perkembangan kondisi di beberapa subsektor industri., studi ini juga diharapkan dapat membantu para investor dalam mempersiapkan analisisnya untuk menetapkan langkah apa yang harus mereka ambil selanjutnya terhadap saham mereka.

Qualitative Research on Critical Issues In Halal Logistics

2013 ◽  
Vol 1 (2) ◽  
pp. 131 ◽  
Author(s):  
Mohamed Syazwan Ab Talib ◽  
Lim Rubin ◽  
Vincent Khor Zhengyi
Keyword(s):  
Capital Structure ◽  
Agency Theory ◽  
Random Effect ◽  
Random Effect Model ◽  
Order Theory ◽  
Specific Factor ◽  
Pecking Order ◽  
Pecking Order Theory ◽  
Corporate Financing ◽  
Financing Decision

This is a preliminary study developed to explore the determinants of capital structure of Shariah-compliant firms listed in Bursa Malaysia. This study is primarily motivated by the issue of the determinants still being inconclusive in the area of capital structure. The study is performed using the static models namely Pool Ordinary Least Square, Fixed Effect and Random Effect Model. Empirical analysis on the determinants reveals that country specific factor which is GDP and sector specific factor which is industry concentration are also significant in influencing the corporate financing decisions in this country along with firm specific factors such as efficiency, bankruptcy risk, profitability, tangibility, liquidity and size of the firm. The findings revealed that results are sensitive to models employed in the study. Nevertheless, the applicability of capital structure theories such as the trade-off theory, agency theory and pecking order theory diverge across sectors in Malaysia. The pecking order theory and agency theory are found to be the dominant theories governing the corporate financing decision in the country as well. It indicates strong evidence of hierarchy practised in firms’ financing decision. The finding on agency theory being dominant justifies the function of short-term debt as a controlling mechanism to mitigate the agency problem arises within firms across sectors. 

Analisis Pengaruh Kepemilikan Blockholder, Kepemilikan Manajerial, Kepemilikan Institusional, dan Komite Audit terhadap Nilai Perusahaan

2018 ◽  
Vol 2 (1) ◽  
pp. 96-121
Author(s):  
Iwan Wirawardhana ◽  
Meco Sitardja
Keyword(s):  
Firm Value ◽  
Audit Committee ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Institutional Ownership ◽  
Managerial Ownership ◽  
Estimation Model ◽  
Effect Model ◽  
Positive Effect

The aim of this study is to analyse the effect of Blockholder Ownership, Managerial Ownership,Institutional Ownership, and Audit Committee towards Firm Value. The background of this research isthe agency theory and ownership theory. The population in this study are 46 property companies listedon the Indonesia Stock Exchange (IDX) for the period 2012-2016. By using purposive samplingtechnique, 35 companies are qualified as data samples. This research uses the random effect model asthe estimation model and multiple regression as the method of analysis. The results of this study showsthat Institutional Ownership has a positive effect on Firm Value. Meanwhile, Blockholder Ownership,Managerial Ownership, and Audit Committee have no effect on Firm Value. Moreover, the F-testimplies that the variables, blockholder ownership, managerial ownership, institutional ownership, andaudit committee, simultaneously influence firm value.

scholarly journals Cardiovascular hospitalisation before and during the financial crisis among occupations in Taiwan

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
Y Chang
Keyword(s):  
Financial Crisis ◽  
Sex Education ◽  
Negative Binomial ◽  
Random Effect ◽  
Unskilled Worker ◽  
Research Database ◽  
Skilled Workers ◽  
Occupational Groups ◽  
2008 Financial Crisis ◽  
The 2008 Financial Crisis

Abstract Background Cardiovascular diseases (CVD) were related to financial stress. Little was known about the effects of financial crisis on cardiovascular health by occupations. This study examined CVD hospitalisations before and during the 2008 financial crisis among five occupational groups in Taiwan. Methods Data were collected from the Taiwan Survey on Hypertension, Hyperglycemia and Hyperlipidaemia 2007, including 4,673 participants aged 20 and above, categorized into five types of occupations, i.e., professional & manager (PM), office clerk & administrative staff (OA), skilled work (SW), unskilled worker (UW) and non-worker (NW). We abstracted their CVD hospitalisation records in the three years before (September 2005 to August 2008) and during the 2008 financial crisis (September 2008 to August 2011) from the National Health Insurance Research Database. Using incidence rate ratios (IRRs), we compared CVD hospitalisation of the first, second, third year from September 2008 to the three-year average before September 2008 for five occupational groups. Random effect negative binomial models were performed to estimate IRRs. Results After adjusting for covariates including age, sex, education, smoking, alcohol drinking, exercise and body mass index, there was an increase of CVD hospitalisation incidence for NW in the first year of the financial crisis (IRR=1.46, 95% Confidence Interval [95% CI]=1.19-1.77); in the second year, SW had a raised risk of CVD hospitalisation (IRR= 2.71, 95% CI = 1.59-4.60). For all occupational groups, the incidence rates of CVD hospitalisation reached the peak in the third year (PM: IRR=2.68, 95% CI = 1.05-6.83; OA: IRR=2.70, 95% CI = 1.18-6.19; SW: IRR=5.13, 95% CI = 2.89-9.09; UW: IRR=2.12, 95% CI = 1.02-4.41; NW: IRR=1.85, 95% CI = 1.18-2.67). Conclusions CVD hospitalisation of all occupations were affected by the financial crisis; when non-workers were the early victims, skilled workers may be the most vulnerable in the 2008 financial crisis. Key messages This study investigated the effects of the 2008 financial crisis on cardiovascular disease hospitalization by five occupational types in Taiwan. All occupations, particularly skilled workers, were affected by the financial crisis.

scholarly journals A random effects population dynamics model based on proportions-at-age and removal data for estimating total mortality

2012 ◽  
Vol 69 (11) ◽  
pp. 1881-1893 ◽  
Author(s):  
Verena M. Trenkel ◽  
Mark V. Bravington ◽  
Pascal Lorance
Keyword(s):  
Population Dynamics ◽  
Random Effects ◽  
Fixed Effects ◽  
Random Effect ◽  
Total Mortality ◽  
Estimation Bias ◽  
Effective Sample Size ◽  
Dynamics Model ◽  
Population Dynamics Model ◽  
Study Parameter

Catch curves are widely used to estimate total mortality for exploited marine populations. The usual population dynamics model assumes constant recruitment across years and constant total mortality. We extend this to include annual recruitment and annual total mortality. Recruitment is treated as an uncorrelated random effect, while total mortality is modelled by a random walk. Data requirements are minimal as only proportions-at-age and total catches are needed. We obtain the effective sample size for aggregated proportion-at-age data based on fitting Dirichlet-multinomial distributions to the raw sampling data. Parameter estimation is carried out by approximate likelihood. We use simulations to study parameter estimability and estimation bias of four model versions, including models treating mortality as fixed effects and misspecified models. All model versions were, in general, estimable, though for certain parameter values or replicate runs they were not. Relative estimation bias of final year total mortalities and depletion rates were lower for the proposed random effects model compared with the fixed effects version for total mortality. The model is demonstrated for the case of blue ling (Molva dypterygia) to the west of the British Isles for the period 1988 to 2011.

scholarly journals Prevalence and risk factors for antibiotic utilization in Chinese children

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shasha Guo ◽  
Qiang Sun ◽  
Xinyang Zhao ◽  
Liyan Shen ◽  
Xuemei Zhen
Keyword(s):  
Risk Factors ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Healthcare Research ◽  
Chinese Children ◽  
Rural Setting ◽  
Antibiotic Prescribing ◽  
Antibiotic Utilization ◽  
At Home

Abstract Background Antibiotic resistance poses a significant threat to public health globally. Irrational utilization of antibiotics being one of the main reasons of antibiotic resistant. Children as a special group, there's more chance of getting infected. Although most of the infection is viral in etiology, antibiotics still are the most frequently prescribed medications for children. Therefore, high use of antibiotics among children raises concern about the appropriateness of antibiotic prescribing. This systematic review aims to measuring prevalence and risk factors for antibiotic utilization in children in China. Methods English and Chinese databases were searched to identify relevant studies evaluating the prevalence and risk factors for antibiotic utilization in Chinese children (0-18 years), which were published between 2010 and July 2020. A Meta-analysis of prevalence was performed using random effect model. The Agency for Healthcare Research and Quality (AHRQ) and modified Jadad score was used to assess risk of bias of studies. In addition, we explored the risk factors of antibiotic utilization in Chinese children using qualitative analysis. Results Of 10,075 studies identified, 98 eligible studies were included after excluded duplicated studies. A total of 79 studies reported prevalence and 42 studies reported risk factors for antibiotic utilization in children. The overall prevalence of antibiotic utilization among outpatients and inpatients were 63.8% (35 studies, 95% confidence interval (CI): 55.1-72.4%), and 81.3% (41 studies, 95% CI: 77.3-85.2%), respectively. In addition, the overall prevalence of caregiver’s self-medicating of antibiotics for children at home was 37.8% (4 studies, 95% CI: 7.9-67.6%). The high prevalence of antibiotics was associated with multiple factors, while lacking of skills and knowledge in both physicians and caregivers was the most recognized risk factor, caregivers put pressure on physicians to get antibiotics and self-medicating with antibiotics at home for children also were the main factors attributed to this issue. Conclusion The prevalence of antibiotic utilization in Chinese children is heavy both in hospitals and home. It is important for government to develop more effective strategies to improve the irrational use of antibiotic, especially in rural setting.

scholarly journals A meta-analysis comparing short-term weight and cardiometabolic changes between olanzapine/samidorphan and olanzapine

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Manit Srisurapanont ◽  
Sirijit Suttajit ◽  
Surinporn Likhitsathian ◽  
Benchalak Maneeton ◽  
Narong Maneeton
Keyword(s):  
Weight Gain ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Dropout Rates ◽  
Lower Percentage ◽  
Current Evidence ◽  
Weight Changes ◽  
Short Term ◽  
Short Term Treatment

AbstractThis study compared weight and cardiometabolic changes after short-term treatment of olanzapine/samidorphan and olanzapine. Eligible criteria for an included trial were ≤ 24 weeks, randomized controlled trials (RCTs) that compared olanzapine/samidorphan and olanzapine treatments in patients/healthy volunteers and reported weight or cardiometabolic outcomes. Three databases were searched on October 31, 2020. Primary outcomes included weight changes and all-cause dropout rates. Standardized mean differences (SMDs) and risk ratios (RRs) were computed and pooled using a random-effect model. This meta-analysis included four RCTs (n = 1195). The heterogeneous data revealed that weight changes were not significantly different between olanzapine/samidorphan and olanzapine groups (4 RCTs, SDM = − 0.19, 95% CI − 0.45 to 0.07, I2 = 75%). The whole-sample, pooled RR of all-cause dropout rates (4 RCTs, RR = 1.02, 95% CI 0.84 to 1.23, I2 = 0%) was not significant different between olanzapine/samidorphan and olanzapine groups. A lower percentage of males and a lower initial body mass index were associated with the greater effect of samidorphan in preventing olanzapine-induced weight gain. Current evidence is insufficient to support the use of samidorphan to prevent olanzapine-induced weight gain and olanzapine-induced cardiometabolic abnormalities. Samidorphan is well accepted by olanzapine-treated patients.

scholarly journals Dyslipidaemia and mortality in COVID-19 patients - a meta-analysis

QJM ◽  
2021 ◽  
Author(s):  
Marco Zuin ◽  
Gianluca Rigatelli ◽  
Claudio Bilato ◽  
Carlo Cervellati ◽  
Giovanni Zuliani ◽  
...  
Keyword(s):  
Random Effects ◽  
Mortality Risk ◽  
Meta Analysis ◽  
Random Effect ◽  
Final Analysis ◽  
Short Term ◽  
Random Effects Models ◽  
Pooled Prevalence ◽  
Statistical Heterogeneity ◽  
Trim And Fill

Abstract Objective The prevalence and prognostic implications of pre-existing dyslipidaemia in patients infected by the SARS-CoV-2 remain unclear. To perform a systematic review and meta-analysis of prevalence and mortality risk in COVID-19 patients with pre-existing dyslipidaemia. Methods Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed in abstracting data and assessing validity. We searched MEDLINE and Scopus to locate all the articles published up to January 31, 2021, reporting data on dyslipidaemia among COVID-19 survivors and non-survivors. The pooled prevalence of dyslipidaemia was calculated using a random effects model and presenting the related 95% confidence interval (CI), while the mortality risk was estimated using the Mantel-Haenszel random effects models with odds ratio (OR) and related 95% CI. Statistical heterogeneity was measured using the Higgins I2 statistic. Results Eighteen studies, enrolling 74.132 COVID-19 patients [mean age 70.6 years], met the inclusion criteria and were included in the final analysis. The pooled prevalence of dyslipidaemia was 17.5% of cases (95% CI: 12.3-24.3%, p < 0.0001), with high heterogeneity (I2=98.7%). Pre-existing dyslipidaemia was significantly associated with higher risk of short-term death (OR: 1.69, 95% CI: 1.19-2.41, p = 0.003), with high heterogeneity (I2=88.7%). Due to publication bias, according to the Trim-and-Fill method, the corrected random-effect ORs resulted 1.61, 95% CI 1.13-2.28, p < 0.0001 (one studies trimmed). Conclusions Dyslipidaemia represents a major comorbidity in about 18% of COVID-19 patients but it is associated with a 60% increase of short-term mortality risk.

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