ABSTRACT This study aims to analyze the factors that influence firm value with capital structure as a intervening variable in manufacturing companies listed on the Indonesia Stock Exchange in 2017-2019.This research is a causal research with ex post facto type. The population in this study were all manufacturing companies listed on the Indonesia Stock Exchange in 2017-2019. The sampling technique is purposive sampling, which is collecting samples with certain criteria as a benchmark for collection, so that a sample of 141 companies is obtained. Data collection techniques with the method of documentation that is analyzing the company's annual report. Data analysis techniques used to answer the research hypothesis are multiple regression which are operated through the SPSS program.The research shows that profitability and firm size has no effect on firm value, Profitability has a negative effect on capital structure, firm size has a positive effect on capital structure,capital structure has a negative effect on firm value, and capital structure has no proven to mediate the effect of profitability and firm size to firm value.

Transportasi udara kini menjadi mode tranportasi yang menjadi pilihan utama. Walaupun biaya transportasi ini tergolong mahal namun dapat menghemat banyak waktu untuk sampai ke tujuan. Oleh karena itu, meramalkan jumlah penumpang pesawat menjadi hal yang menarik untuk diteliti. Pada paper ini dilakukan peramalan jumlah penumpang pesawat di Bandar Udara Raden Intan II menggunakan metode analisis spektral. Metode ini digunakan untuk mendapatkan informasi yang lebih lengkap mengenai karakteristik data runtun waktu yang diperlukan untuk menelaah periodesitas yang terjadi. Setelah mendapatkan periodesitas maka data dimodelkan dengan metode Seasonal ARIMA. Berdasarkan data yang tersedia diperoleh model terbaik untuk peramalan penumpang pesawat di Bandar Udara Raden Intan II adalah Seasonal ARIMA (0,1,1) (0,1,1) 3 .

Vector Error Correction Model is a cointegrated VAR model. This idea of Vector Error Correction Model (VECM), which consists of a VAR model of the order p - 1 on the differences of the variables, and an error-correction term derived from the known (estimated) cointegrating relationship. Intuitively, and using the stock market example, a VECM model establishes a short-term relationship between the stock prices, while correcting with the deviation from the long-term comovement of prices. An Impulse Response Function traces the incremental effect of a 1 unit (or one standard deviation) shock in one of the variables on the future values of the other endogenous variables. Impulse Response Functions trace the incremental effect of the marketing action reflected in the shock. The data used in this analysis are 4 (four) daily plantation stocks prices in Indonesia with time period of January to July in three years which are 2018, 2019, and 2020. The objective of this study is to determine the relationship among 4 (four) stocks prices with VECM and to know the behaviour of each stocks prices with Impulse Response.

Manufacturing industry currently plays an important role in meeting the needs of society. The social concern factor, namely Corporate Social Responsibility Disclosure (CSR) and governance, namely Good Corporate Governance (GCG) which is disclosed in the company's financial statements can affect the value of the company. This research was conducted to prove the role of disclosure of these two factors for the value of the company in the future. This study uses a population of manufacturing industry companies listed on the Indonesia Stock Exchange 2015-2019. The results of linear regression testing indicate that CSR disclosure has a positive effect on firm value and GCG disclosure has a positive effect on firm value. This shows that disclosure is an important thing to consider in assessing the company. The more disclosure of the value of the company will increase. The control variables in this study are cash holding, cash value and firm size, only company size has a negative effect on firm value. So that small companies are more able to increase the number of CSR and GCG disclosures compared to large companies. This shows the ability to master the conditions of small companies is more efficient and effective than large companies.

This research examine about the moments, cumulants, and characteristic function of the log-logistic distribution. Therefore, the purposes of this article are (1) finding moments of the log-logistic distribution by using moment generating function and by definition of expected values of the log-logistic random variable and (2) finding the cumulants and characteristic function of the log-logistic distribution. Log-logistic distribution has two parameters: the shape parameter α and β as a parameter scale. Moments of the log-logistic distribution can be determined by using the moment generating function or the definition of expected value. Cumulants determined by the moments that have been found previously. Furthermore, skewness and kurtosis can be determined from the log-logistic distribution. While the characteristic function is the expected value of , which I as an imaginary number.