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        중세 한국어 ‘-리러-’의 용법 : ‘과거에서의 미래’를 중심으로

        신연수 이화어문학회 : 이화여자대학교 한국어문학연구소. 2017 이화어문논집 Vol.42 No.-

        This study aims to investigate the meaning of prefinal ending ‘-rireo-’ in Middle Korean. ‘-rireo-’ is a combination of prefinal ending ‘-ri-’ and ‘-deo-’ in Middle Korean and expresses a variety of meanings-future in the past, assumption in the past, possibility in the past in indicative mood and counter-factual supposition in subjunctive mood. This study focuses on the use of ‘-rireo-’ as ‘future in the past’ marker in Middle Korean. ‘Future in the past’ is to refer to a future event relative to a point in the past. ‘-rireo-’ refers to a future event that is scheduled and predictable at a point in the past. ‘-rireo-’ is also comparable to ‘-(eu)l yejeong-i-eoss-’ which expresses the future in the past in Contemporary Korean. ‘-(eu)l yejeong-i-eoss-’ only refers to scheduled future event relative to a point in the past whereas ‘-rireo-’ refers to either scheduled or predictable future event. 중세 한국어의 ‘-리러-’는 선어말어미 ‘-리-’와 ‘-더-’의 결합형으로, 다양한 의미와 용법을 가진다. ‘-리러-’는 직설법(indicative mood)에서 ‘과거에서의 미래’, ‘과거에서의 추정’, ‘과거에서의 가능성’ 등을 표현하며, 종속법 (subjunctive mood)에서 주로 ‘-더든’, ‘-던댄’ 등의 연결어미와 함께 쓰여 ‘반사실적 가정’을 표현한다. 본고는 ‘-리러-’의 여러 용법 중에서 ‘과거에서의 미래’ 용법에 주목하여, 15세기와 16세기의 한글 문헌에 나타난 용례를 검토하고 과거에서의 미래 용법의 특징을 파악하였다. ‘과거에서의 미래’는 과거를 기준시로 했을 때 미래, 즉 그 시점 이후에 일어날 일을 표현하는 것이다. ‘-리러-’는 중세 한국어에서 과거 시점에서의 예정된 미래 사건이나 일어날 것이라고 예측되는 사태를 나타내는데, 이때 화자가 그 사건 또는 사태에 대해 단언하고 있다는 점에서 과거에서의 미래 용법이 확인된다. 또한 과거 시점에서 예정된 미래 사건이나 예측되는 사태는, 발화시인 현재를 기준으로 할 때 일어난 경우도 있고, 그렇지 않은 경우도 있었다. 한편 현대 한국어에서는 ‘-ㄹ 것이었-’, ‘-ㄹ 예정이었-’ 등의 우언적 구성을 통해 과거에서의 미래를 나타낼 수 있다. 그중에서 ‘-ㄹ 예정이었-’은 과거 시점에서의 예정된 미래 사건을 표현하는데, ‘-리러-’와 비교하였을 때 그 사건이 예정된 때에 일어나지 않았다는 문맥에서 사용되는 경향이 있다.

      • KTB212선물에서 시중은행의 투자성과에 대한 실증분석

        신연수,Shin, Yeon-Soo 한국정보기술전략혁신학회 2005 情報學硏究 Vol.8 No.4

        In this paper I examined trades of general bank In KTB212 Futures for patterns which are best described by the behavioral finance literature. I reported the statistics for traders of profit or loss traders, number of traders, total trader gross trading income, revenue per contract. Thess results are acquired from the revenue scale and the trade contract scale. When traders are ranked on the basis of performance, successful winning traders are short positions in the KTB212. This result appears more faithful to large scale traders. The evidence suggests that large traders are able to act on the information flow. The measure of success is as total income, and the relationship between position holding and success is clear.

      • 주식매수선택권이 기업성과에 미친 영향에 대한 연구

        신연수,Shin, Yeon-Soo 한국정보기술전략혁신학회 2006 情報學硏究 Vol.9 No.4

        This study is to test the influence of stock option granting information on the firm's performance. The important issue in stock option is that agent cost is the important determinant factor for the long term performance. The agent cost arises between the manager and shareholders. So many study are concentrated in diminishing the agent cost, and develop some substitute tools to measure the agent cost. The event study about stock option analyzes returns around event date at a time. Event study provides estimation periods and cumulative returns. Announcements about stock option are generally associated with positive abnormal returns in short term period, but not showing positive effect in long term period. It is important to investigate the responses of stocks to new information contained in the announcements of stock option. Therefore it is important to study the long term performance in the case of stock option. The event time portfolio approach exists the CAR model, BHAR model and WR model. And the calendar time portfolio approach has the 3 factor model, 4 factor model, CTAR model, and RATS model. This study is forced to develop and arrange two approach method in evaluating the performance, the event time portfolio approach and calendar time portfolio approach.

      • KCI등재

        Comparative Analysis of the Efficiency According to the Size Portfolio of Tourist Hotels in Korea

        신연수 아시아.유럽미래학회 2012 유라시아연구 Vol.9 No.3

        This study is to analyze the efficiency of 107 Korean Tourist Hotels in 2009. This study used DEA model to evaluate 107 Korean tourist hotels in 2009. The first stage uses the CCR model to assess the efficiency. The second stage examine the distinct feature of each group after dividing two groups focusing the average efficiency. The third stage is one-way ANOVA approach which was applied to illustrate the influence of size portfolio according to each variables on hotel efficiencies. The fourth stage performs multiple regression formulae which are made with the difference in efficiency as dependent variables and sales, expenses, seven dummy variables as independent variables. Data envelopment analysis(DEA) model with seven inputs and two outputs was specified and used to estimate tourist hotel efficiency. Tourist hotels were operated with technical efficiency of average 52.8%. This indicates that almost 47.2% costs can be reduced without decreasing output if the tourist hotel can operate efficiently. This study has decision making units(DMU) 107, thus using nonparametric Pearson correlation method. The correlation between input factors and output factors appears to be significantly higher, therefore the DEA model can apply to all variables. Statistics about input and output variables for 107 tourist hotels in 2009. This study selected 107 DMUs. Input variables are seven factors (RM_st RM_d RM_su RM_h RM_TL NU9 EX9), and the output variables are two factors (SA9, PR9). ParadisehotelBusan has the maximum number of rooms, 538. Lotte Hotel is the largest hotel in Number of employees, 3,309, and labor expenses, 111,000 million. In the aspect of employee, large size group(above 201) has the highest efficiency. On the other hand, middle and small and middle size groups(51-200, below 50) show low efficiency, expecially middle size group is lower the loss than small size group. In the view of rooms, large size group(above 401) has the highest efficiency. On the other hand, middle and small size groups(201-400, below 200) show low efficiency, especially small and middle size group in rooms is net loss, meanwhile the middle size group are better and more proper alternative than small size group. Metropolitan is operated a little more efficient than non-metropolitan, metropolitan is more profitable than non-metropolitan. In the view of hotels grade, special 1 grade is more profitable than special 1 grade and others grade group. The tourist hotels with above average efficiency primarily exist small and middle size group(below 200 in employees, below 400 in rooms), metropolitan area, others grade(not special grade). The tourist hotels with below average efficiency primarily exist small size group(below 50 in employees, below 200 in rooms), non-metropolitan area, non-special grade. The efficiency of large employee scale is statistically significantly higher(mean=0.6632) than that of middle scale(mean=0.5135) or small scale(mean=0.4724). Also the efficiency of large room scale is statistically significantly higher(mean=0.7501) than that of middle scale(mean=0.5820) or small scale(mean=0.4770). But the efficiency of special 1 in tourist hotel rate is not statistically significantly higher(mean=0.6317) than that of special 2(mean=0.4649) or others(mean=0.5233). The metropolitan division is not statistical significant. To study the determinant factors which affect efficiency, multi-regression analysis has been used. Where Ɵ represents the CCR efficient score as dependent variable. And expenses of employee, sales, large scale of employee, middle scale of employee, large scale of room, middle scale of room, metropolitan, hotel grade are independent variables, expecially other variable except for employee and sales are dummy variables. LN(EX) is a logarithm of salary expenses for employees. LN(SA) is a logarithm of operating profit. EMP_L is a dummy variable which is one for tourist hotels belonging to a large scale of employee, and zero otherw...

      • 주식분할의 장기성과 측정 모델에 대한 연구

        신연수,Shin, Yeon-Soo 한국정보기술전략혁신학회 2006 情報學硏究 Vol.9 No.3

        The event study analyzes returns around event date at a time. Event study provides estimation periods and cumulative returns. Stock split announcements are generally associated with positive abnormal returns. It is important to investigate the responses of stocks to new information contained in the announcements of stock splits. So It is important to study the long term performance in the case of Stock Split. This Study forced to two approach method in evaluating the performance, the event time portfolio approach and calendar time portfolio approach. The event time portfolio approach exists the CAR model, BHAR model and WR model. And the calendar time portfolio approach has the 3 factor model, 4 factor model, CTAR model, and RATS model.

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