• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.31-40
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• 2020

This study investigates whether other comprehensive income (OCI) reported in the statement of comprehensive income (one of the main financial statements after the adoption of K-IFRS) predicts a firm's future performance. Using the quarterly data of Korean listed companies, we examine the association between OCI estimates and future earnings. First of all, we find that OCI is positively associated with earnings in both 1- and 2-quarter ahead, supporting the predictive value of OCI. When we break down OCI into its individual components, our results suggest that the net unrealized gains/losses on available-for-sale (AFS) investment securities are positively associated with future earnings, while the other components (e.g., net unrealized gains/losses on valuation of cash flow hedge derivatives) present insignificant results. In addition, we investigate whether the reliability in OCI estimates enhances the predictive value of OCI to predict future performance. We find that the predictive ability of OCI, in particular the net unrealized gains/losses on available-for-sale (AFS) investment securities, becomes more pronounced when firms are audited by the Big 4 audit firms. Overall, our study suggests that information content embedded in OCI can provide decision-useful information that is helpful for the prediction of future firm performance.

• Management & Information Systems Review
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• v.36 no.3
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• pp.203-217
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• 2017

This study aims to verify the effects of unrealized gain or loss, that is the fair value evaluation item of insurance company's assets and liabilities, to capital markets focusing on fair value evaluation of insurance company's liabilities, which is the core of IFRS 17 that will be implemented in 2021. For this purpose we carried out regression analysis to verify the effects of changed other comprehensive income(OCI) and accumulated OCI, published in quarterly financial statements of listed insurance companies, on stock price utilizing Ohlson(1995)'s extended test model. The results of the empirical analysis are as follows. First, changed OCI showed a significant negative(-) effects on stock price. Second, accumulated OCI revealed a significant positive(+) effects on stock price. Furthermore, extended test model classifying changed OCI and accumulated OCI in a basic model represented the highest $R^2$ number and public announcement policy of OCI, a kind of unrealized gain or loss item, implied that it could give positive impact on accounting information. But still the direction that unrealized gain or loss affects on firm value must be carefully reviewed and considered in the future via more detailed study by the user of information. Therefore this study is meaningful in that it can predict usefulness of information on insurance company's fair value evaluation via empirical test accompanied by introduction of newly established IFRS 17 and it also can suggest direction of information production suitable for capital market.

• Management & Information Systems Review
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• v.35 no.4
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• pp.37-56
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• 2016

This study investigates how adapting of K-IFRS effects NI and OCI affecting of credit rating on changing of the period and variable by using samples of around adapting of K-IFRS. First of all, after adapting of K-IFRS(2011-2013), it was noticeable that how NI affecting after adapting of K-IFRS(2007-2010) had been increased more than that of before affecting of K-IFRS. However, there was not a single difference in affecting OCI on credit rating comparing to the past of adapting of K-IFRS. Second, it seemed like NI affected more after adapting of K-IFRS(2011-2013). The first year of K-IFRS had bigger incremental effect than after adapting of K-IFRS. However, after adapting of K-IFRS, OCI affecting on credit rating had no ncremental effect. Third, it seemed like NI in the first year affected more than OCI on credit rating. After adapting(2012-2013) of K-IFRS, it seemed like NI and OCI do not affect on credit rating. To interpret this, NI and OCI affected the first year of adapting of K-IFRS; therefore, adapting of K-IFRS affected without affecting financial ratio on adapting credit rating. As the time goes on, it can be expected that adapting K-IFRS became stable; therefore, extra incremental effect will not be seen comparing to the early adaption. The implication of this study is when information users use credit rating, they have to concern of affecting of K-IFRS. This is because NI in financial ratio is affecting on credit rating.