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This study aims to determine the factors, both financial and non-financial, which influence corporate bond and Sukuk ratings. The results will be useful for companies, investors or related parties as additional information and references for their investment decisions. Using ordinal logistic regression models with SPSS version 21 software, the study analyses the determinants of corporate bond and sukuk ratings listed on the Indonesia Stock Exchange (IDX) for the period 2013-2017. The variables employed are profitability, liquidity, leverage, company size, securities structure and maturity date. The results of the Wald test statistics show that leverage ratio, firm size, security structure, and maturity date are the factors that influence the probability of high or low corporate bond ratings, while profitability and liquidity ratios are factors that have no effect on the level of such ratings. With regard to sukuk, profitability, liquidity, and maturity date are the factors that influence the probability of high or low corporate sukuk ratings, while leverage ratio, company size, and security structure have no effect on the ratings.

ABSTRAKPerkembangan perdagangan bebas di Asia saat ini menjadi tantangan tersendiri bagi Indonesia. Mengingat bahwa perdagangan antar negara semakin tanpa hambatan maka diperlukan upaya penguatan penjualan komoditas dari Indonesia menuju Negara lain atau dengan kata lain diperlukannya upaya peningkatan ekspor. Melihat perkembangan lembaga keuangan syariah yang juga mendukung pertumbuhan sektor riil secara nyata, tentunya pembiayaan dapat langsung membantu pertumbuhan ekspor di Indonesia. Namun sayangnya berdasarkan hasil penelitian saat ini menunjukkan bahawa lembaga keuangan syariah (BUS dan IKNB Syariah) masih belum berpengaruh positif kepada ekspor di Indonesia. Hal ini dikarenakan pembiayaan pada lembaga keuangan syariah masih bersifat konsumtif. Begitu juga dengan inflasi memiliki pengaruh negatif sedangkan kurs rupiah terhadap dolar justru memiliki pengaruh positif.Kata Kunci: Ekspor Indonesia, Inflasi, Kurs, Bank Umum Syariah dan IKNB Syariah

Purpose This study aims to analyze the determinants of ratings of corporate bonds and sukuk issued by firms listed on the Indonesia Stock Exchange (IDX) for the 2013–2019 period. Design/methodology/approach This study uses a quantitative approach by testing hypotheses and using logistic regression. Ordinal logistic endogenous (or dependent) variables (Y) in ordinal logistics use data in the form of levels (ordinal scale). Independent (or exogenous) variables (X), include financial and non-financial factors for dependent (or endogenous) variables (Y), namely, of corporate bonds and sukuk ratings. There are two approaches to the study they are Logit and Gompit (Negative Log-Log. The population of the study is Indonesian companies listed on the IDX that issued bonds and sukuk for the 2013–2019 periods. The sampling technique is purposive. In total, 16 corporate companies adhering to the above criteria and issuing bonds and sukuk were chosen. In total, 270 types of bonds and 280 types of sukuk were selected as samples. Findings The results of the Logit and Gompit regression show that leverage ratio, firm size, security structure and maturity date are important determinants of corporate bond ratings while profitability and liquidity ratios appear to have no influence on the rating. In the case of sukuk, profitability, liquidity and maturity date play important roles in influencing the corporate sukuk rating. However, there is no evidence to suggest that leverage ratio, company size and security structure may affect sukuk ratings. Research limitations/implications For both sukuk and bond issuers, it is necessary to pay attention to the factors that may affect the ratings. Specifically, Sukuk issuers need to pay attention to the return of asset, current ratio, growth and structure. On the other hand, bond issuers need to consider depth to equity, structure and maturity. As for investors, the findings of this study reveal that both bond and sukuk ratings reflect their performance. Practical implications This study provides useful information for investors that allows them to assess the risk of sukuk or bonds chosen based on rating and financial performance. Originality/value The novelty of this study lies in its econometric methodology used to identify factors which influence sukuk and bond ratings. Specifically, this study used two different techniques that allow a robust conclusion to be drawn. Furthermore, this study provides a systematic analysis which allows comparison between factors which affect bond and sukuk ratings in Indonesia.

Household debt has a detrimental effect on economic growth. Thus, this study examines the connection between household debt and growth in institutional quality. The impact of ,the relationship on economic growth is assessed using a bias-corrected least square dummy variable of 43 nations. We discovered that institutional quality enhances the role of household debt in sustaining economic growth. Household debt is significantly detrimental to growth when institutional quality is low. Its harmful effect can be lessened with medium institutional quality. Interestingly, higher household debt is beneficial in sustaining growth if accompanied by better institutional quality. Household debt and institutions reinforce each other towards sustaining economic stability for countries with higher institutional quality. The findings are expected to assist central banks and other government authorities in formulating the relevant institutional settings for ensuring economic sustainability, such as prudent debt management and macro-prudential policy. Future studies may consider empirical analysis on a distinct split sample of advanced and emerging economies and employ different estimator methods.

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This conceptual paper exclusively focused on how artificial intelligence (AI) serves as a means to identify a target audience. Focusing on the marketing context, a structured discussion of how AI can identify the target customers precisely despite their different behaviors was presented in this paper. The applications of AI in customer targeting and the projected effectiveness throughout the different phases of customer lifecycle were also discussed. Through the historical analysis, behavioral insights of individual customers can be retrieved in a more reliable and efficient way. The review of the literature confirmed the use of technology-driven AI in revolutionizing marketing, where data can be processed at scale via supervised or unsupervised (machine) learning.

Purpose This study aims to investigate the productivity level of family takaful in Malaysia and Indonesia from 2014 to 2019. Productivity can support corporate sustainability, which is one of the company’s goals. Design/methodology/approach The measurement of the productivity level in this study involved applying the Malmquist Productivity Index (MPI) method. The input variables used consisted of equity, total expenses and total investment. The output variables consisted of total profit and investment income. In addition, this research used the orientation of the output and intermediation. Findings Throughout the study period, the Indonesian family takaful had an average total factor productivity change (TFPCH) of about 0.945. In other words, it did not reach optimal productivity. It is more due to the low value of technological change (TECHCH). On the contrary, family takaful companies in Malaysia had called productivity, showing a TFPCH of about 1.041. Again, this is mainly due to an increase in TECHCH and efficiency change, but it is still low in pure technical efficiency change. Research limitations/implications This study focuses on factors that exist in internal takaful companies. Neither micro- nor macroeconomic variables that can affect productivity levels have been measured. In addition, this study only analyzed two countries out of the 11 countries in the Southeast Asian region. Practical implications Family takaful companies can use the productivity index as one of the bases of evaluation in managing their resources to enhance optimal output. Furthermore, the management of family takaful companies in Indonesia needs to focus more on technological innovation and delivery of services to increase productivity. Meanwhile, family takaful companies in Malaysia can maintain their technology usage and efficiency to operate productively. The government in both countries is expected to actively accelerate the growth of family takaful companies by producing regulatory products that strengthen the industry. Specifically, the government in Indonesia needs to make regulations that support technology improvement. Originality/value There is still not much research that examines family takaful’s productivity level using the MPI. The MPI is an appropriate tool to evaluate the productivity of family takaful companies. Thus, family takaful companies can improve their quality by assessing the productivity index value.