• 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.

• The Journal of Small Business Innovation
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• v.19 no.3
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• pp.43-55
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• 2016

This study examines the implications of special items (SI) for future earnings using quarterly Korean data over the period from 2011 to 2014. Due to the lack of identification of SI in Korea, I choose several items as special items if they are material and non-recurring items following prior studies. Then I regressed seasonally-differenced future earnings on positive and negative SI and found that their effects on future earnings were different. While negative SI are explained by inter-period expense transfer, positive SI are not well-described by traditional prototypes. Next, I regressed seasonally-differenced future earnings on negative SI sub-types as they are heterogeneous in nature and have differing implications for future earnings. While PPE impairments and intangibles impairments are partly explained by the inter-period expense transfer, unspecified loss of other loss items are not. Interestingly, these effects are attenuated or disappear in the Kosdaq market when the markets are divided into the Kospi and Kosdaq markets.

• 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.

• KOREAN POULTRY JOURNAL
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• v.41 no.7
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• pp.98-101
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• 2009

경영분석이란 기업이나 농장의 대차대조표와 손익계산서를 바탕으로 재무상태와 경영성적의 정도를 판단하는 기술(기법)이다. 최초의 경영분석은 은행가들이 돈을 빌려간 사람의 신용상태 또는 상환능력을 파악하기 위하여 시작하였지만 오늘날에는 재무분석 뿐만 아니라 제품, 영업, 판매, 조직, 업무, 지원 모든 분야에서 경영분석이 이루어지고 있다. 대차대조표 등 재무제표를 자료로 하여 자산구성, 자본구성, 자산과 자본의 상호관계를 분석하여 경영에 투하된 자본이 어떻게 운용되는가, 그 자본의 원천은 어디에서 얻게 되었는가를 규명하는 분석이 있다. 경영분석은 다시 두 가지로 구분되는 바, 시간을 정해두고 대차대조표를 자료로 하여 일정한 시점에서의 각종 지표를 비교하는 정태(靜態)분석과 손익계산서 등을 자료로 하여 일정 기간 동안의 수익성을 파악하는 것을 동태(動態)분석이 그것이다.

• 프린팅코리아
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• s.25
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• pp.100-104
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• 2004

2003년 인쇄업계는 성장성 면에서 약간의 마이너스 성장을 기록한 가운데 손익관계 면에서 크게 후퇴했으나 부가가치는 오히려 상승한 것으로 조사됐다. 한국은행이 최근 발표한 '2003년 경기 분석' 결과에 따르면 인쇄업계는 매출액증가율에서 5.14%의 마이너스 성장을 기록한 가운데 손익관계지표는 평균 44.7% 하락했으나 부가가치율은 오히려 지난해 보다 6.5% 상승했다. 이번 조사는 지난 3월 2일부터 4월 29일까지 연간매출약 25억원 이상인 3239개의 제조업체 등 총 5065개 업체를 대상으로 실시되었으며, 2002년과 2003년의 대차대조표, 손익계산서, 제조원가명세서, 이익잉여금처분계산서 등의 항목에 대해 피 조사업체가 직접 작성하도록 하는 방법을 통해 이루어졌다.

• The Korean Journal of Applied Statistics
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• v.26 no.1
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• pp.187-200
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• 2013

In this paper, we deal with the problem of deciding a hedging volatility for ATM plain options when we hedge those options based on geometric Brownian motion. For this, we study the relation between hedging volatility and hedge profit&loss(P&L) as well as perform Monte Carlo simulations and real data analysis to examine how differently hedge P&L is affected by the selection of hedging volatility. In conclusion, using a relatively low hedging volatility is found to be more favorable for hedge P&L when underlying asset prices are expected to be range bound; however, a relatively high volatility is found to be favorable when underlying asset prices are expected to move on a trend.

• Management & Information Systems Review
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• v.38 no.2
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• pp.67-81
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• 2019

In accordance with K-IFRS 1109, financial instruments are classified to amortized cost (AC), fair value through other comprehensive income (FVOCI) and fair value through profit or loss (FVPL). And disposal gains are prohibited to be recirculated for net income when FVOCI financial instruments would be sold in the future, so-called recirculation prohibition. This research investigates whether accumulated other comprehensive income of available-for sale financial assets(AFS) under K-IFRS 1039, could affect reclassified amounts to the FVPL securities from the AFS securities. Also, this study investigates the effects of the reported income on the reclassified FVPL, because CEOs are likely to try earnings management when net income is predicted to be less than target or is low, comparing other firms. As a result of empirical analysis, first, I find that accumulated other comprehensive income of the AFS has a positive impact on the reclassified FVPL. Second, level of reporting income has no significant impact on the reclassified FVPL. Third, interaction effects are significantly positive on the firms which have more other comprehensive income and less level of reported income. Fourth, the effects of the bank and securities are more distinct than those of the manufactures. This study is the first research to investigate earnings management through AFS at the timing of the first adoption of K-IFRS 1109. Empirical results of this study provide evidence of earnings management on the reclassification of FVPL which gives meaningful implications to regulators, academic researchers and auditors.

• 베이커리
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• no.3 s.368
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• pp.129-131
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• 1999

• KOREAN POULTRY JOURNAL
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• v.41 no.10
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• pp.104-108
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• 2009

• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.737-753
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• 2013

Interest rate options embedded in life insurance products provide policyholders with minimum guaranteed rates credited to the corresponding surrender values. This paper discusses current low-interest environment and several types of interest rate options embedded in life insurance products. In addition, this paper shows profit structures of the life insurance products and calculates values of the interest rate options under stochastic interest model and the corresponding VaR (value at risk). Finally, some implications are discussed.