Pengaruh Struktur Modal, Likuiditas, Profitabilitas dan Umur Perusahaan terhadap Kualitas Laba:

This study aims to prove the effect of capital structure, liquidity, profitability and firm age on earnings quality. The type of research used is quantitative research and secondary data. The sample of this research is mining companies listed on the Indonesia Stock Exchange (IDX) in 2017-2020 using purposive sampling. This study shows that capital structure has no significant effect on earnings quality, liquidity has no significant effect on earnings quality, profitability has no significant effect on earnings quality and firm age has no significant effect on earnings quality. The implications of this research are related to earnings quality. Investors and other users of financial statement information, need to consider the liquidity factor because this factor has a significant impact on the quality of earnings in the company. This shows that users of financial statements, especially investors, need to consider the liquidity factor when making investment decisions in affiliated companies. Keywords: Capital Structure, Liquidity, Profitability, Company Age, Earnings Quality

The Capital Structure Puzzle: What Are We Missing?

An important piece of the capital structure puzzle has been missing, and it is not a contracting friction. It is recognition that managers do not have sufficient knowledge to optimize capital structure with any real precision. The literature critique in this paper i) identifies the conceptual sources of the main empirical failures of the leading models of capital structure and ii) shows how those failures can be repaired by taking into account imperfect managerial knowledge and several other factors. The analysis yields a compact set of principles for thinking about capital structure in an empirically supported way.

Impact of Capital Structure on The Financial Performance of Listed Financial Institutions in Nigeria

The influence of capital structure on deposit money bank financial performance was explored in this study. The secondary data was gathered from the annual reports and accounts of the 14 sampled Deposit Money Banks from 2014 to 2018, and generalized least square multiple regression was used to evaluate the secondary data. According to the findings, total debt to total assets, total debt to total equity, and long-term debt to total assets have little bearing on the financial performance of Nigerian banks. The study also discovered that the ratio of short-term debt to total assets has a considerable influence on a bank's financial success. In light of the findings, it is suggested that bank management strive diligently to reduce the short-term debt to total assets component of their capital structure, since this has a detrimental impact on their financial performance. They also have a tendency to enhance the ratio of total debt to total assets since it improves their financial performance. Long-term debt to total assets ratios should be reduced in capital structure components since they have a negative impact on financial performance.

PENGARUH PERENCANAAN PAJAK, STRUKTUR MODAL DAN KEPEMILIKAN MANAJERIAL TERHADAP NILAI PERUSAHAAN DENGAN TRANSPARANSI PERUSAHAAN SEBAGAI VARIABEL MODERASI

This study aims to identify and prove empirically the effect of Tax Planning, Capital Structure and Managerial Ownership on Firm Value with Corporate Transparency as a moderating variable. This type of research is quantitative approach research with explanatory research and associative methods. Samples were taken using the purposive sampling technique using Eviews 9 software for data analysis. The sample consists of 60 data from 12 property and real estate subsector manufacturing companies listed on the Indonesia Stock Exchange in 2016-2020. The results show that Tax Planning, Capital Structure and Managerial Ownership simultaneously affect the value of the company which is moderated by corporate transparency, tax planning has no effect on firm value, the capital structure does not affect firm value, managerial ownership does not affect firm value, and corporate transparency does not. effect on firm value, corporate transparency is unable to moderate the relationship between tax planning and firm value, corporate transparency is unable to moderate the relationship between capital structure and firm value, and corporate transparency is unable to moderate the relationship between managerial ownership and firm value.

The Effect of Company Size, Exchange Rate and Earnings Per Share on Stock Returns

This study aims to examine and analyze the effect of firm size, exchange rate, earnings per share and capital structure as control variables on stock returns. All manufacturing companies listed on the Indonesia Stock Exchange for the period 2013 – 2017 are the population in this study. By using purposive sampling method, 100 companies were selected as samples in the study. The method of collecting data is library research and secondary data from the official publications of the Indonesia Stock Exchange and the official website of Bank Indonesia. Panel and regression methods are used as an analytical tool in this study. The results obtained in the study are, stock returns are significantly affected by firm size, exchange rates and earnings per share either partially or simultaneously. Meanwhile, when using capital structure as a control variable on stock returns, the results show that the variables of firm size, exchange rate and earnings per share are partially stated to have no significant effect.

Optimization of the capital structure of an agricultural company in the Czech Republic

The topic of optimizing capital structure is very important for a company to work efficiently and reliably. It is important for every company to optimize everything so that they have the highest possible efficiency. Entrepreneurs also try to make this optimization last them as long as possible. Therefore, the aim of this paper is to determine the optimal capital structure of an agricultural company operating in the Czech Republic. The base source of data is the closing data of individual agricultural companies from the Albertina database of Bisnode. More than 9,000 agricultural enterprises operating in the given sector of the national economy in the Czech Republic are recorded in this data set. The calculation of the WACC method and the level of debt of individual agricultural companies are used. Subsequently, the equation for calculating the cost of capital is determined using power regression. Here we also obtain the value of reliability, which in this particular case is not ideal, but still reasonable. A line chart is used to determine the optimal interval for the agricultural company. The optimal debt interval comes out to 20 to 25%, at which the cost of capital is declared to be from 22 to 24%. If agricultural companies had higher or lower debt ratios, it would be inefficient for the enterprise.