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This study aims to empirically examine the effect of macroeconomic variables on credit risk in each business sector in Indonesia. Using time-series quarterly data during the period 2011q1-2019q2, this study utilized the Autoregressive Distributed Lag (ARDL) model. The results of this study explain that macroeconomic variables namely GDP growth in the long run have a significant negative effect on credit risk in 6 sectors and in the short term have a significant negative effect on 6 sectors. Inflation has a significant positive effect in the long run on one sector, namely the provision of accommodation and provision of food and drink, and a significant negative effect on 6 sectors, in the short term inflation has a significant positive effect on 7 sectors and a significant negative effect on one sector, namely education services. The last variable is the long-term loan interest rate which has a positive effect on 7 sectors and in the short term has a significant positive effect on 6 sectors on the high value of credit risk in each business sector in Indonesia. The result indicating that macroeconomic variables have a real impact on credit risk.

The capital market has an important role in the economy of a country, as it serves as a source of funds for the company as well as a source of investment for the community. Bonds are financial instruments or securities that show that bond issuers have the obligation to pay the coupons and pay off the underlying debt at the appointed time. This research focuses on financial risk that is a financial ratio consisting of profitability and liquidity. This research aims to determine the impact of profitability and liquidity on bond rating and the impact on the bond yield on non-financial companies listed on the Indonesia Stock Exchange (IDX) period 2014-2018. The methods used are descriptive and verificative. The sampling technique used in this study was Purposive Sampling. The number of companies being sampled in this study was 33 companies. This study uses the path analysis method to determine which variables have an influence on bond ratings and their impact on bond yield. The results showed that the variable profitability had a significant effect on bond ratings, liquidity had no significant effect on bond ratings, and bond ratings were significantly influential on bond yield