• The Journal of the Korea Contents Association
• /
• v.14 no.11
• /
• pp.905-914
• /
• 2014

In this study, we examine hedging effectiveness of KODEX200 ETF and KOSPI200 futures with respect to KOSPI200 spot or KODEX200 ETF using naive, the risk-minimization models and the VECM. The sample period covers from January 5. 2010 to October 31. 2013. Daily prices of the KOSPI200 spot, KOSPI200 futures and KODEX200 were used in this study. The results are summarized ans follows. First, this study show that there is cointegration relationship among KOSPI200 spot, futures and KODEX200 ETF market. Second, there is no significant difference in hedging performance among the models. Finally, hedged position of KOSPI200 cash(unhedged position)-KODEX200 ETF(hedge vehicle) or KODEX200 ETF-KOSPI200 futures seems to improve hedging performance compared to KOSPI200 cash-KOSPI200 futures. This implies that the portfolio managers may be encouraged to use the former than the latter.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.20
• /
• pp.8595-8601
• /
• 2014

Background: miR-200a expression is frequently altered in numerous cancers. The aim of the present study was to determine the role of microRNA-200a in advanced ovarian carcinomas. Materials and Methods: We measured miR-200a expression in 72 matched normal ovarian tissues and advanced ovarian carcinomas, and also two ovarian carcinoma cell lines (SKOV3 and SKOV3.ip1 - the latter being more invasive and metastatic than the parental SKOV3) by stem-loop real-time RT-PCR based on TaqMan microRNA assay using U6 as a reference. Levels of miR-200a expression were compared by disease stage, tumor grade, histology, and lymph node involvement. To evaluate the role of microRNA-200a, cell proliferation and invasion of SKOV-3 and SKOV-3.ip1 were analyzed with miR-200a inhibitor/mimic transfected cells. Results: Of 72 paired samples, 65 cancer tissues overexpressed microRNA-200a greater than two fold in comparison with matched normal epithelium. Specifically, patients with lymph node metastasis showed significant elevation. The level correlated with clinicopathological features, including high tumor grade, late disease stage, most notably with lymph node metastasis, but not with tumor histology. In addition, SKOV-3.ip1 cells also overexpressed miR-200a compared with SKOV-3, and miR-200a inhibitor transfected SKOV-3.ip1 cells showed significant reduction in cellular proliferation and invasion, while a miR-200a mimic stimulated the opposite behavior. Conclusions: We provide definitive evidence that miR-200a is up-regulated in a significant proportion of advanced ovarian carcinomas, and that elevated miR-200a expression facilitates tumor progression. Our findings support the notion that miR-200a is an onco-microRNA for ovarian cancer, and elevation is a useful potential diagnostic indicator. This study also provides a solid basis for further functional analysis of miR-200a in advanced ovarian cancer.

• BMB Reports
• /
• v.50 no.6
• /
• pp.318-322
• /
• 2017

Brain cytoplasmic 200 RNA (BC200 RNA) is a neuron-specific non-coding RNA, implicated in the inhibition of local synaptodendritic protein synthesis, and is highly expressed in some cancer cells. Although BC200 RNA has been shown to inhibit translation in vitro, the cellular location of this inhibition is unknown. In this study, we used a BC200 RNA-recognizing antibody to identify the cellular locations of BC200 RNA in HeLa cervical carcinoma cells. We observed punctate signals in both the cytoplasm and nucleus, and further discovered that BC200 RNA co-localized with the p-body decapping enzyme, DCP1A, and the heterogeneous nuclear ribonucleoprotein E2 (hnRNP E2). The latter is a known BC200 RNA-binding partner protein and a constituent of p-bodies. This suggests that BC200 RNA is localized to p-bodies via hnRNP E2.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2001.07a
• /
• pp.467-469
• /
• 2001

KAM200 which can be used electroluminescence binder is cyano material. In this study, we have fabricated KAM200 thin film by Spin-Coating method. And we have studied the electical properties of KAM200 thin films. In the I-V characteristics, the current decreases as the voltage overflow definite voltage immediately. And that definite voltage depend on thickness of KAM200 material. In the case of thickness is 1.9[$\mu\textrm{m}$], definite voltage is 7[V]. And that's electrical field 3.86[MV/m]. The dielectric properties of KAM200 thin film is investigated by measuring dielectric dispersion and absorption. KAM200's Relative dielectric constant is 10.25, and it has high permittivity compared with different materials.

• Management & Information Systems Review
• /
• v.32 no.3
• /
• pp.285-297
• /
• 2013

In this study, price discovery among the KOSPI200 markets(KOSPI200 spot, KOSPI200 Futures and The ETFs) is investigated using the vector error correction model(VECM). The main findings are as follows. KODEX200(KOSEF200), KOSPI200 spot and Futures are cointegrated in most cases. Daily data from KODEX200(KOSEF200), KOSPI200 spot and KOSPI200 futures show that the movements of the three markets are interrelated. Specially, KODEX200 contains the most information, followed by the KOSPI200 spot and futures markets. KODEX200 contribute to the price discovery process. Namely KODEX200 plays a more dominant role in price discovery than the KOSPI200 spot and futures.

• KIEAE Journal
• /
• v.7 no.3
• /
• pp.89-96
• /
• 2007

The purpose of this experimental study is to investigate the compressive strength, shear strength, bending strength, and crack control by the mixture of the hwang-toh. The size of compressive specimens is $200{\times}200{\times}400(mm)$, and the size of shear, bending specimens is $200{\times}200{\times}600(mm)$. Finally, crack control specimens for comparative comparison is $200{\times}200{\times}15(mm)$. The mixture of the hwang-toh is as follows; Hwangtoh( H)+Water(W), H+W+Sand(S), H+W+S+sTraw(0.5%), H+W+S+sT(1.0%). The actual height, width, and the length are measured at the center of all specimens. The main parameters are mixture ratio of hwang-toh, straw and age of specimens. The test results are as follows. (1) The compressive strength is linearly increased until 15 weeks according to specimen ages. (2) About crack control, the specimen added in 1% straw is the most effective.

• Journal of agricultural medicine and community health
• /
• v.23 no.2
• /
• pp.269-274
• /
• 1998

The purpose of this study is to establish the basic consultation data for diabetes in adults and to demonstate the necessity of preventive regular medical examinations. The study was carried out at Chungyang County, Chungchungnam-Do from the first of January, 1996 to the end of December. Below is the statistical data of this study which concerns the distinction of sex, ages, and occupations from the 600 examinees. 1. According to the distinction of sex, there are 12 males and 11 females among the 300 examinees in each group. That means, the diabetic percentage is 4.0% versus 3.6% and male/female diabetic ratio is 1.1:1 2. According to the distinction of ages, there is one people 0.25% aged 20years old and 5 peoples 1.3% aged 30 years old among the 400 examinees. There are 6 peoples 1.0% aged 40 years old and 6 peoples 1.0% aged 50 years old among the 600 examinees. There are 4 peoples 2.0% aged 60 years old among the 200 examinees. 3. According to the distinction of occupations, there are 13 white collar workers 6.5% among the 200 examinees, and there are 8 blue collar workers(4%) among the 200 examinees. There are 2 government employees 1% among the 200 examinees. This show that there is less diabets in government employees than other occupational groups of the same number. 4. Among the white and blue collar workers, 7 diabetis's blood glucose levels are 140mg%--200 mg% and 6 are 200mg%. 5. Among the community medical insurance holders, 7 diabetic's blood glucose levels are 140 mg%--200mg% and 1 is 200mg%. 6. Among the government employees, 2 diabetic's bleed glucose levels are 140mg--200mg% and there is no 200mg%.

• Management & Information Systems Review
• /
• v.38 no.4
• /
• pp.79-93
• /
• 2019

This study analyzed the information effect of KOSPI200 market and KOSPI200 futures market and volume synchronized probability of informed trading (VPIN). The data period is 760 days from July 8, 2015 to August 9, 2018, and the intraday trading data is used based on the trading period of the KOSPI 200 Index. The findings of the empirical analysis are as follows. First, as a result of regression analysis of the same parallax, when the level of VPIN is high, the return and volatility of KOSPI200 are high. Second, the KOSPI200 returns before and after the VPIN measurement and the return of the KOSPI200 future had a positive relationship with the VPIN. The cumulative returns of KOSPI200 futures were positive for about 15 minutes.Finally, we find that portfolios with high levels of VPIN showed high KOSPI200 and KOSPI200 futures return. These results confirmed the applicability of VPIN as a trading strategy index. The above results suggest that KOSPI200 and KOSPI200 futures markets will be able to explore volatility and price changes, and also be useful indicators of financial market risk.

• BMB Reports
• /
• v.53 no.2
• /
• pp.94-99
• /
• 2020

Brain cytoplasmic 200 RNA (BC200 RNA) is proposed to act as a local translational modulator by inhibiting translation after being targeted to neuronal dendrites. However, the mechanism by which BC200 RNA inhibits translation is not fully understood. Although a detailed functional analysis of RNA motifs is essential for understanding the BC200 RNA-mediated translation-inhibition mechanism, there is little relevant research on the subject. Here, we performed a systematic domain-dissection analysis of BC200 RNA to identify functional RNA motifs responsible for its translational-inhibition activity. Various RNA variants were assayed for their ability to inhibit translation of luciferase mRNA in vitro. We found that the 111-200-nucleotide region consisting of part of the Alu domain as well as the A/C-rich domain (consisting of both the A-rich and C-rich domains) is most effective for translation inhibition. Surprisingly, we also found that individual A-rich, A/C-rich, and Alu domains can enhance translation but at different levels for each domain, and that these enhancing effects manifest as cap-dependent translation.

• Journal of Intelligence and Information Systems
• /
• v.17 no.3
• /
• pp.187-201
• /
• 2011

KOSPI200 index is the Korean stock price index consisting of actively traded 200 stocks in the Korean stock market. Its base value of 100 was set on January 3, 1990. The Korea Exchange (KRX) developed derivatives markets on the KOSPI200 index. KOSPI200 index futures market, introduced in 1996, has become one of the most actively traded indexes markets in the world. Traders can make profit by entering a long position on the KOSPI200 index futures contract if the KOSPI200 index will rise in the future. Likewise, they can make profit by entering a short position if the KOSPI200 index will decline in the future. Basically, KOSPI200 index futures trading is a short-term zero-sum game and therefore most futures traders are using technical indicators. Advanced traders make stable profits by using system trading technique, also known as algorithm trading. Algorithm trading uses computer programs for receiving real-time stock market data, analyzing stock price movements with various technical indicators and automatically entering trading orders such as timing, price or quantity of the order without any human intervention. Recent studies have shown the usefulness of artificial intelligent systems in forecasting stock prices or investment risk. KOSPI200 index data is numerical time-series data which is a sequence of data points measured at successive uniform time intervals such as minute, day, week or month. KOSPI200 index futures traders use technical analysis to find out some patterns on the time-series chart. Although there are many technical indicators, their results indicate the market states among bull, bear and flat. Most strategies based on technical analysis are divided into trend following strategy and non-trend following strategy. Both strategies decide the market states based on the patterns of the KOSPI200 index time-series data. This goes well with Markov model (MM). Everybody knows that the next price is upper or lower than the last price or similar to the last price, and knows that the next price is influenced by the last price. However, nobody knows the exact status of the next price whether it goes up or down or flat. So, hidden Markov model (HMM) is better fitted than MM. HMM is divided into discrete HMM (DHMM) and continuous HMM (CHMM). The only difference between DHMM and CHMM is in their representation of state probabilities. DHMM uses discrete probability density function and CHMM uses continuous probability density function such as Gaussian Mixture Model. KOSPI200 index values are real number and these follow a continuous probability density function, so CHMM is proper than DHMM for the KOSPI200 index. In this paper, we present an artificial intelligent trading system based on CHMM for the KOSPI200 index futures system traders. Traders have experienced on technical trading for the KOSPI200 index futures market ever since the introduction of the KOSPI200 index futures market. They have applied many strategies to make profit in trading the KOSPI200 index futures. Some strategies are based on technical indicators such as moving averages or stochastics, and others are based on candlestick patterns such as three outside up, three outside down, harami or doji star. We show a trading system of moving average cross strategy based on CHMM, and we compare it to a traditional algorithmic trading system. We set the parameter values of moving averages at common values used by market practitioners. Empirical results are presented to compare the simulation performance with the traditional algorithmic trading system using long-term daily KOSPI200 index data of more than 20 years. Our suggested trading system shows higher trading performance than naive system trading.