• Title/Summary/Keyword: Alpha Trading

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ETF Trading Based on Daily KOSPI Forecasting Using Neural Networks (신경회로망을 이용한 KOSPI 예측 기반의 ETF 매매)

  • Hwang, Heesoo
    • Journal of the Korea Convergence Society
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    • v.10 no.1
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    • pp.7-12
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    • 2019
  • The application of neural networks to stock forecasting has received a great deal of attention because no assumption about a suitable mathematical model has to be made prior to forecasting and they are capable of extracting useful information from data, which is required to describe nonlinear input-output relations of stock forecasting. The paper builds neural network models to forecast daily KOrea composite Stock Price Index (KOSPI), and their performance is demonstrated. MAPEs of NN1 model show 0.427 and 0.627 in its learning and test, respectively. Based on the predicted KOSPI price, the paper proposes an alpha trading for trades in Exchange Traded Funds (ETFs) that fluctuate with the KOSPI200. The alpha trading is tested with data from 125 trade days, and its trade return of 7.16 ~ 15.29 % suggests that the proposed alpha trading is effective.

Predicting The Direction of The Daily KOSPI Movement Using Neural Networks For ETF Trades (신경회로망을 이용한 일별 KOSPI 이동 방향 예측에 의한 ETF 매매)

  • Hwang, Heesoo
    • Journal of the Korea Convergence Society
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    • v.10 no.4
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    • pp.1-6
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    • 2019
  • Neural networks have been used to predict the direction of stock index movement from past data. The conventional research that predicts the upward or downward movement of the stock index predicts a rise or fall even with small changes in the index. It is highly likely that losses will occur when trading ETFs by use of the prediction. In this paper, a neural network model that predicts the movement direction of the daily KOrea composite Stock Price Index (KOSPI) to reduce ETF trading losses and earn more than a certain amount per trading is presented. The proposed model has outputs that represent rising (change rate in index ${\geq}{\alpha}$), falling (change rate ${\leq}-{\alpha}$) and neutral ($-{\alpha}$ change rate < ${\alpha}$). If the forecast is rising, buy the Leveraged Exchange Traded Fund (ETF); if it is falling, buy the inverse ETF. The hit ratio (HR) of PNN1 implemented in this paper is 0.720 and 0.616 in the learning and the evaluation respectively. ETF trading yields a yield of 8.386 to 16.324 %. The proposed models show the better ETF trading success rate and yield than the neural network models predicting KOSPI.

A Study on Consumer Buying Behavior According to Fashion Trading Area (패션상권에 따른 소비자의 의복구매행동 연구)

  • 정형도;유태순
    • Journal of the Korean Society of Costume
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    • v.50 no.8
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    • pp.165-175
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    • 2000
  • The Purposes of this study are to analyze fashion trading area's conditions of Busan area to establish fashion marketing strategies for the conditions of location in choosing the new retailers and to propose the most efficient, optimum fashion trading area(FTA) under the management mind of low cost and high efficiency according to the changes of 21C management paradigm. The subjects of investigation for this study were 1083 women visited FTA in Busan. The data were analyzed by using MANOVA, ANOVA, frequency and trend analysis, and the Cronabach $\alpha$ and Turkey HSD were also applied. The results of this study were summarized as follows. 1 The characteristics of consumer spatial behavior according to fashion trading area show significant difference in starling position, movement means, movement time, visit purpose and visit frequency. 2 The buying behavior of fashion items according to fashion trading area shows difference in fashion trading area shows difference in fashion trading area, store and buying behavior.

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Scaling of the Price Fluctuation in the Korean Housing Market

  • Kim, Jinho;Park, Jinhong;Choi, Junyoung;Yook, Soon-Hyung
    • Journal of the Korean Physical Society
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    • v.73 no.10
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    • pp.1431-1436
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    • 2018
  • We study the scaling of the price fluctuation in the Korean housing market. From the numerical analysis, we show that the normalized return distribution of the housing price, P(r), has a fat-tail and is well approximated by a power-law, $P(r){\sim}r^{-({\alpha}+1)}$, with ${\alpha}{\simeq}3$ for the whole data set. However, if we divide the data into groups based on the trading patterns, then the value of ${\alpha}$ for positive tail and negative tail can be different depending on the trading patterns. We also find that the autocorrelation function of the housing price decays much slower than that of the stock exchange markets, which shows a unique feature of the housing market distinguished from the other financial systems.

Resolution of Salbutamol Enantiomers in Human Urine by Reversed-phase High Performance Liquid Chromatography after Derivatization with (S)-(-)-${\alpha}$-methylbenzyl isocyanate

  • Kim, Kyeong-Ho;Kim, Tae-Kyun;Kwon, Young-Hee;Sohn, Young-Teak
    • Archives of Pharmacal Research
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    • v.20 no.5
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    • pp.486-490
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    • 1997
  • A stereospecific HPLC method has been developed for the resolution of the enantiomers of salbutamol in human urine. After solid-phase extraction and derivatization with (S)-(-)-${\alpha}$-methyl-benzyl isocyanate, the diastereomeric derivatives were resolved $(R_s=1.59)$ on $5{\mu}M$ octadecylsilan column using 47% methanol as a mobile phase with fluorescence detection. The detection limit of each enantiomer was 10 ng/ml (S/N=3).

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Retro-synthesis of Analogues of Ginsenosides (역합성법에 의한 진세노사이드 유사체의 합성)

  • Chang, Eun-Ha;Je, Nam-Gyung;Im, Kwang-Sik
    • YAKHAK HOEJI
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    • v.40 no.2
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    • pp.163-169
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    • 1996
  • Glycosidation of 20(S)-protopanaxadiol obtained by the alkaline hydrolysis of total ginsenosides with 2,3,4,6-tetra-O-acetyl-${\alpha$-D-glucopyranosyl bromide in the presence of $CdCO_3$ in benzene-dioxane gave a mixture of acetylated monoglucosides and diglucosides in a total yield of 68%. Under the same condenstion condition, 20-dehydroxyglucosides were formed by dehydration of 12-O-glucosides. The structures of produced glycosides were elucidated as 3-O-${\beta$-D-glucopyranosyl-20(S)-protopanaxadiol, 12-O-${\beta$-D-glucopyranosyl-dammar-20(22), 24-dien-$3{\beta},12{\beta}$-diol, 3,12-di-O-${\beta}$-D-glucopyranosyl-dammar-20(22), 24-dien-$3{\beta},\;12{\beta}$-diol, respectively.

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A Study on Determining Factors of Hull Insurance Rate (선박보검과준의 결정요인에 관한 연구)

  • 김경건;민성규
    • Journal of the Korean Institute of Navigation
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    • v.18 no.4
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    • pp.59-81
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    • 1994
  • Korean property and liability insurance companies have underwrited hull insurance without proper undrewriting ability. But after April 1996. in case of Korean insurance market being opened the companies have to make hull insurance rate by themselves. Accordingly, in this study, the writer embodies important factors in making hull insurance rate by an empirical survey. In empirical survey, the writer used a questionnaire, 74 proper data was obtained from 96 officers working in making hull insurance rate in 12 Korean property and liablity insurance companies and 24 the foreign companies at home. Reliability was tested by Cronbach's Alpha and a conceptual validity by Factor Analysis. Hypothesis estabilished in this study was tested by Correlation and Multiple Regression Analysis. Results of testing hypothesis are as follows: Firstly, the traits of insurer and the assured influence significantly(P<0.05) on making hull insurance rate. Secondly, expected loss ratio, ship manager, ship's age, insured amount, level of the cost of repairing and salvage, shipowner, period of insurance, level of overseas rating, profit and expense, trading limits, ship's classification, conditions of insurance, and ship's size influence significantly(P<0.05) on making hull insurance rate.

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Bio-capsule Formation for Synchronous Saccharification and Fermentation Process (동시당화발효공정을 위한 바이오캡슐 형성)

  • Shin, Gyeong Yeon;Choi, Hye Jung;Kang, Yang-Rae;Nam, Ki-Du;Song, Ju Yeong;Joo, Woo Hong
    • Microbiology and Biotechnology Letters
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    • v.45 no.2
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    • pp.162-167
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    • 2017
  • For the production of bioethanol by the synchronous saccharification and fermentation (SSF) process, bio-capsule formation was attempted. Many saccharifying fungal strains and fermentative yeast strains were first screened. Aspergillus sp. BCNU 6200, Penicillium sp. BCNU 6201, and P. chrysogenum KACC 44363 were found to be excellent producers of saccharifying enzymes such as ${\alpha}$-amylase and glucoamylase. Saccharomyces cerevisiae IFO-M-07 showed the highest ethanol productivity among the tested strains. Secondly, we determined the optimal conditions for pellet formation, and those for bio-capsule formation. All the tested fungal strains formed pellets, and the optimal conditions for bio-capsule formation were $28^{\circ}C$ and 120 rpm. Lastly, SSF process was performed using a bio-capsule. An ethanol yield of 3.9% was achieved by using the Aspergillus sp. BCNU 6200 bio-capsule (Aspergillus sp. BCNU 6200 + S. cerevisiae IFO-M-07) at $30^{\circ}C$ with shaking at 120 rpm during the 10 days of incubation. The results provide useful information on the application of a bio-capsule in bioethanol production under the SSF process.

Shrinkage Model Selection for Portfolio Optimization on Vietnam Stock Market

  • NGUYEN, Nhat;NGUYEN, Trung;TRAN, Tuan;MAI, An
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.135-145
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    • 2020
  • This paper provides the practical application of a linear shrinkage framework on Vietnam stock market. The cumulative data points observed in this analysis are 468 weeks from January 2011 to December 2019. All the companies listed on Ho Chi Minh City Stock Exchange (HOSE), except the companies under two years period from Initial Public Offering (IPO), are considered. The cumulative number of stocks picked is therefore 350 companies. The VNINDEX, which is the Vietnam Stock Index, is used as a reference index for shrinking to a single-index model. The empirical results show that the shrinkage of covariance matrix for portfolio optimization gives the promising results for the investors on Vietnam stock market. The shrinkage method helps the investors to produce the optimal portfolio in the sense of having higher profit with lower levels of risk compared to the portfolio of the traditional SCM method. Moreover, the portfolio turnover of shrinkage method is always kept at low magnitudes, and this makes the shrinkage portfolios save much transaction costs and reduce the liquidity risks in the trading process. In addition, the ability of shrinkage method in making profit is once again confirmed by the Alpha coefficient that achieves a high positive value.

Enhancement of Immune Activities of Opuntia ficus-indica L. Miller by Ultrasonification Extraction Process (제주 손바닥 선인장의 초음파 추출을 통한 면역활성 증진)

  • Kwon, Min-Chul;Han, Jae-Gun;Jeong, Hyang-Suk;Qadir, Syed Abdul;Choi, Young-Beom;Ko, Jung-Rim;Lim, Tae-Il;Lee, Hyeon-Young
    • Korean Journal of Medicinal Crop Science
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    • v.16 no.1
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    • pp.1-8
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    • 2008
  • Immune activities of Opuntia ficus indica L. Miller were investigated through aqueous extracts associated with ultrasonification process at $60^{\circ}C$, and showed the highest promotion of human B and T cell growth, up to 52% and 41%, respectively, compared to the control. The secretion of TNF-${\alpha}$ and IL-60 was also enhanced by the addition $(0.5mg/m{\ell})$ of the extracts, up to 48%. NK cell activation was significantly improved up to 1.3 times higher than the case of adding other extracts. It was also found that extracts from O. ficus indica could yield higher nitric oxide production from macrophage than Lipopolysaccaharides (LPS). It can be concluded that, in general, the extracts treated with ultrasonification has higher Immune acitivities than others, possibly by higher yielding immune-modulatory than conventional extraction process. The optimum condition for the extraction of O. ficus-indicais water extraction associated with ultrasonification.