Background: This paper seeks to shed some light concerning on evaluative language maintenance and shift at translation phenomenon of online news. Though this translation issue is frequently discussed in academic discourse, little has been concerned on comprehending to what extent the evaluation used in political news has been retained of shifted in their target texts. Methodology: Three political news articles published on ‘The Conversation’ online media were selected for the analysis. For doing so, appraisal system and translation technique theory-based concepts were adopted to guide the analysis as well as the discussion. We employed a noteworthy move in terms of data collection technique, that is focus-group discussion by involving a number of experts who are engaged in the field of linguistics and translation studies. Findings: This research findings can be understood as evaluative language maintenance dominating the data compared to translation shift. Translators attempted to bridge Indonesian readers by rendering some ideologically news, with the aim of knocking language distance down between English and Indonesian texts. Meanwhile, a plenty of translation techniques encourage translator awareness to take position upon rendering ideological news, in case of retaining, altering, as well as omitting the constructed meanings. Conclusion: It is pivotal, as a consequence, to increase news translators’ awareness of understanding attitude constructed in political news. Otherwise, there will be reframing phenomena as the cause of translators’ intervention depriving readers’ rights to understand mass media attitude.   Keywords: evaluative language; translation; political news

The financial crisis that occurred in middle of 1997 made Indonesia to become one of the countries which had the worst and the longest affected in term of its rate of recovery. This event made us aware of the importance of creating an early warning system for the financial crisis. The crisis occurred due to several macroeconomic indicators experiencing very high fluctuation and changes in the structure of the condition (regime). The combination of volatility and Markov regime switching models is a type of model that can explain the fluctuation and changes in such condition. The indicators of bank deposit and lending/deposit interest rate in January 1990 to June 2019 were used to construct the combined model. The results of this research showed that the MRS-ARCH(2,1) model for the bank deposit and lending/deposit interest rate indicators can explain the conditions of the financial crisis that occurred. The predicted value of the MRS-ARCH(2,1) model shows that from July 2019 to June 2020 there were no signs of a financial crisis in Indonesia.