This study was conducted to analyze the effect of capital adequacy ratio, credit risk, market risk, financial distress, inflation, and the exchange rate on stock returns with audit quality as moderating. The object of this research is companies in the banking sector listed on the Indonesia Stock Exchange for the period 2015-2020. This research was conducted with the aim of explaining quantitatively the attitude tendency of the population by examining a sample of the population. The research data is included in the type of secondary data in the form of financial reports and bank annual reports book 3 and book 4 of the implementation of Basel during the period 2015-2020. The data was obtained from the Indonesia Stock Exchange website, namely the website www.idx.co.id. The data analysis method used in this study uses panel data regression with the help of the Eviews 10 program. The results of this study conclude that the capital adequacy ratio, market risk, financial distress, inflation, exchange rate, and audit quality have no effect on stock returns. However, credit risk has an influence on stock returns. In this study there is a moderating variable, obtained audit quality as a moderating variable does not affect the relationship between capital adequacy ratio, market risk, financial distress, inflation, and the exchange rate to stock returns. However, audit quality as a moderating variable is able to influence the relationship between credit risk and stock return.

This study aims to determine the effect of accounting standards, internal control systems and accounting information systems on the quality of the financial report. This quantitative study used a survey approach with a sample of 197 employees, using variance-based data analysis techniques. The results showed that applying accounting standards and internal control systems significantly affected the quality of the financial report. However, this was different with the application of accounting information systems. This implies that the application of accounting standards, internal control systems and accounting information systems are important in improving the quality of financial reports. This research provides important input contributions in efforts to improve the quality of financial reports.

Return is one of the factors that motivate investors to invest and is also a reward for the courage of investors to take risks on the investments made. Stock returns are influenced by three factors, namely internal factors, external factors and market factors. This study aims to determine the profitability, solvency, and systematic risk variables affect stock returns with moderating variables by audit quality. This study uses a quantitative approach. The population in this study is companies engaged in the mining sub-sector in Indonesia in 2011 – 2020 which are listed on the Indonesia Stock Exchange (IDX) or the Indonesia Stock Exchange (IDX). The results in this study are that profitability and solvency have an effect on stock returns, systematic risk has no effect on stock returns, while the audit quality variable as a moderating variable strengthens the return on equity, debt equity ratio and systematic risk variables on stock returns in mining sub-sector companies listed in Indonesia Stock Exchange 2011-2020 period.

Abstract— The capital market has an important role for the economy of a country because it is a means for companies to obtain funds from investors, and a means for the public to invest in financial instruments. Currently, bonds are still of interest to the public to invest. Corporate bonds showed a significant increase throughout semester II-2020. This significant increase was caused by emissions that began to increase, in addition to that, the increase in emission values was also supported by a climate of low interest rates. This study was conducted to analyze the effect of firm size, auditor reputation, bond age, profitability, liquidity, loan to deposit ratio, non-performing loan and BOPO on bond ratings. The object of this research is a go public banking company that issues bonds and is rated by PEFINDO, and is listed on the IDX for the 2016-2021 period. The data analysis method used in this study uses multiple regression with the help of the Eviews 10 program. The results of this study conclude that firm size has a significant positive effect on bond ratings, auditor reputation has a significant positive effect on bond ratings, age of oligation has a significant positive effect on bond ratings, loan to deposit ratio (LDR) has a significant positive effect on bond ratings, and non-performing loans has a significant negative effect on bonds rating, while profitability, liquidity, and BOPO has no effect on bond ratings. Frim size and the loan to deposit ratio (LDR) rating are the dominant factors influencing the bond rating.   Keywords: Bond Rating; Firm Size; Auditor reputation; Bond Age Profitability; LDR, NPL, BOPO

Power sharing and delegation is politics in nature. The economic side appears on the regional budget planning and realisation. It is the mechanics and the setting of general policy, priority, and plafond of temporary budget. The latent fiscal gap occurs when revenues collected are lesser than expenditures spent, vice versa. Higher portion of expenditures posted as basic allocation has not been coped well with steady regional income. Supports in terms of better capability and capacity to collect regional revenues appear to be non-existent and meaningless, but the resource-rich regions. Even so, the central government appears to have big and deep impacts on the definition of taxable objects and types, and local retributions. This study is to seek which financial performance indicators that can be well-predicted by a numerous variables and indicators forming the regional budgets (APBD) of 34 provinces in Indonesia in 2018. The data was collected from DJPK website in early May 2019. The research method is quantitative descriptive in nature, and using both the OLS regression and determinant regression analysis. Based on the research of recent studies, a numerous financial performance indicators were derived as dependent variables, along with the variables forming the regional budgets of 34 provinces in Indonesia as independent variables. Sixteen dependent variables were set, whilst the 48 independent variables comprised of 4 groups, that is 4 variables of regional specific (r_#), 23 variables of revenues (y_#), 9 variables of expenditures (c_#), and 12 variables of finance/fiscal (f_#). Upon the results of OLS linear regression, 3 variables of financial performance appeared to be the most significant and appealing than the rest. They were independence (k_08), the ratio of DAU in TKDD to the DAU Formula (k_16), dan decentralisation (k_10). On the contrary, 3 variables of financial performance appeared to have no determining variables. They were PAD growth (k_14), fiscal soundness and regional financial management (k_03), dan effectiveness (k_11). These 3 variables were a part of 4 variables having the least adjusted R2, with infrastructure (k_04) as the remaining one. The heteroscedastic nature that appears in the k_14 estimation equation has suggested that k_14 fails to be used as the benchmark and reference of financial performance of regional budgeting, at least in its definition and operationalisation in this study and research. Likewise the usage of f_07 variable, the fiscal gap 1, the difference of DAU Formula with basic allocation (in basic data source).

<p>The main problem of bank is maintaining 3 financial health indicators, namely on aspects of liquidity, profitability, and solvency. These three bank performance parameters are part of the CAMEL surveillance system, without a single M (management) that can only be taken into account by the Bank Supervisory Team from Bank Indonesia for each bank. The purpose of research to determine the level of financial and financial performance of banks and the level of difficulty of banks that have gone public in Indonesia to the stock price of banks. This study was conducted to determine the impact of four groups of financial indicators on stocks, especially size of rentability, liquidity, solvency, and financial size. The various combinations of these 4 groups of indicators yield 45 independent variables that are estimated to affect the price and the number of 13 variables excluded, automatically by SPSS, in the estimation process. Of the 32 free variable, only 9 independent variables significantly affect stock price variables. The 9 independent variables are working capital (p5), cash ratio (q1), bank strength level (r3), sales (r9), operational (r8), financial burden indicator (s5), credit in rupiah (x2), investment non-credit (x4) and ROI (x5b).</p><p> </p>

  ABSTRACT   This study was conducted t0 analyze the effect 0f return 0n assets, return 0n equity, earnings per share, debt t0 equity rati0, price earning rati0, systematic risk 0n st0ck returns with audit qua0ty as moderat0r. The 0bject 0f this research is the c0mpanies listed 0n the LQ45 index 0n the Indonesia St0ck Exchange for the period 2013-2020. This study apply the associative meth0d, which aims t0 explain the causal relationship between 0ne variable that affects 0ther variables. The sample used is 19 LQ45 c0mpanies listed on the Indonesia St0ck Exchange during the period 2013 - 2020. The type 0f data used secondary data, namely financial statement data obtained fr0m www.idx.c0.id. The data analysis meth0d used multiple linear regressi0n with the help 0f the Eviews versi0n 10 pr0gram. The results sh0wed that return 0n assets, price earning rati0 and audit quality partially had significant effect 0n st0ck returns. While return 0n equity, earning per share, debt t0 equity rati0, systematic risk had n0t significant effect st0ck return. It was als0 f0und that audit quality as a m0derating variable was able t0 influence the relati0nship between return 0n assets and systematic risk 0n st0ck returns.  

The purpose of this study was to determine the effect of independent commissioners and profitability on dividend policy. To determine the effect of independent commissioners and profitability on dividend policy with company growth as a moderating variable. The population in this study were all manufacturing companies Listed on the Indonesia Stock Exchange 2018 – 2021 period. Sampling used a non-probability sampling method with a purposive sampling technique. The data analysis method used in this study uses panel data regression analysis with the help of the Eviews 10 program. The results of this study indicate that over 2018-2021 period, independent commissioners have no impact on dividend policy in Manufacturing businesses Listed on the Indonesia Stock Exchange. Profitability affects policy dividends for Manufacturing businesses Listed on the Indonesia Stock Exchange 2018 - 2021 period. For the 2018 - 2021 period, company growth was insufficient to mitigate the impact of independent commissioners and profitability on dividend policy on Manufacturing businesses Listed on the Indonesia Stock Exchange.