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Transtherapy for moderate to severe acne scar: a study of 2 cases

  • Sung, Soo-Hyun;Park, Jong-Hyun;Han, Chang-Hyun;Hong, Seung-Min;Park, Eun-Jung;Na, Ho-Ik;Park, Sung-Jin;Yu, Ji-Hee;Ha, Ji-Hun
    • The Journal of Korean Medicine
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    • v.36 no.4
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    • pp.122-128
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    • 2015
  • Objectives: The purpose of this study is to present effect of transtherapy which is treatment of Korean Medicine to acne scar patients. Methods: We used transtherapy to moderate and severe acne scar patients and evaluated by a Photo evaluation with 10-point score and Qualitative Global Acne Scarring Grading System. Results: After transtherapy treatment, mean of Qualitative Global Acne Scarring Grading System of patients changed from $3.5{\pm}0.71$ to $1.5{\pm}0.71$. Acne scar showed an improvement at least 8 up to 9 and mean of their acne scar improvement scores was $8.33{\pm}0.52$ on photo evaluation with 10-point score. Conclusions: This paper shows that transtherapy in the treatment of moderate to severe acne scars is beneficial for promoting skin regeneration.

Overconfidence Bias, Comparative Evidences between Vietnam and Selected ASEAN Countries

  • PHAN, Dzung Tran Trung;LE, Van Hoang Thu;NGUYEN, Thanh Thi Ha
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.3
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    • pp.101-113
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    • 2020
  • The study aims to investigate the existence of overconfidence bias in Vietnam, Thailand, and Singapore. This paper focuses on the Vietnam Stock Market and other two countries of ASEAN, namely Singapore and Thailand. Data was collected over the period from January 1, 2014 to December 31, 2018, daily returns for each of the securities. This paper uses the time series method, namely ADF test, Granger Causality and VAR approach to find evidences of the overconfidence effect in Vietnam in relation to some ASEAN markets. The results show similarities between the observed countries with slight variations, with focus on Vietnam market. In general concrete evidences of overconfidence were found in both Vietnamese and Singaporean markets, in which Singaporean investors show higher degree of overconfidence than Vietnamese investors. Overconfidence is not as clear in Thai market, however a direct causal link from increased returns to increased investor confidence was found. From the model deployed in the paper, there are reasons to conclude that Thai investors are under-confident. The findings of the study shed lights into the existence of overconfidence bias in Vietnam, Thailand, and Singapore on a comparative basis, provide more insights and implications for future research in this new and rising field of research.

Does Population Aging Contribute to Increased Fiscal Spending?

  • LEE, Mihye
    • Asian Journal of Business Environment
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    • v.9 no.4
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    • pp.23-28
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    • 2019
  • Purpose - With rapid population aging in Korea, changes in the population structure will result in a rise in the fiscal burden. This paper investigates the effects of population aging on fiscal spending based on Korea's province data and country panel data from the OECD. Research design, data, and methodology - We use province-level fiscal data from Local Finance Integrated Open System and the Korean Statistical Information Service and also collect country panel data from the OECD. To investigate the relationship between population aging and fiscal expenditures, our analysis uses the fixed effects model. Results - The empirical analysis based on Korean local finance and country panel data show that population aging has a positive impact on social welfare expenditures and it also has a positive impact on spending related to children and the elderly, implying that population aging may lead to an increase in fiscal spending via an increase in social welfare expenditures and spending related to children and the elderly. Conclusion - These empirical results suggest that countries like Korea that expect to experience rapid population aging need to pay more attention to prepare for the expected increase in age-related spending in the near future.

Oil Price Fluctuations and Stock Market Movements: An Application in Oman

  • Echchabi, Abdelghani;Azouzi, Dhekra
    • The Journal of Asian Finance, Economics and Business
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    • v.4 no.2
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    • pp.19-23
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    • 2017
  • It is undisputable that crude oil and its price fluctuations are major components that affect most of the countries' economies. Recent studies have demonstrated that beside the impact that crude oil price fluctuations have on common macroeconomic indicators like gross domestic product (GDP), inflation rates, exchange rates, unemployment rate, etc., it also has a strong influence on stock markets and their performance. This relationship has been examined in a number of settings, but it is yet to be unraveled in the Omani context. Accordingly, the main purpose of this study is to examine the possible effect of the oil price fluctuations on stock price movements. The study applies Toda and Yamamoto's (1995) Granger non-causality test on the daily Oman stock index (Muscat Securities Market Index) and oil prices between the period of 2 January 2003 and 13 March 2016. The results indicated that the oil price fluctuations have a significant impact on stock index movements. However, the stock price movements do not have a significant impact on oil prices. These findings have significant implications not only for the Omani economy but also for the economy of similar countries, particularly in the Gulf Cooperation Council (GCC) countries. The latter should carefully consider their policies and strategies regarding crude oil production and the generated income allocation as it might potentially affect the financial markets performance in these countries.

Developing International Sukuk in East Asia: Implications from Hong Kong Sukuk

  • Wong, Michael Chak Sham;BHATTI, Waleed Irfan
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.4
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    • pp.9-17
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    • 2019
  • The purpose of this research is to review historical development of Islamic finance in individual East Asian economies, including China, Japan, South Korea and Hong Kong, and examine the success factors of the Hong Kong Sukuk issuances in 2014-2017. The research is a qualitative study applying case study method. It is found that the East Asian economies do play efforts to develop their Islamic capital markets although they have very limited size of Muslim population. Their progress on this development generally remains to be slow. The Hong Kong Sukuk is a breakthrough, carrying a total issuance value of US$3 billion. The Sukuk issuances, treated as a kind of asset-backed securities with restrictions on financing purposes, are distributed to international investors by investment banks from Hong Kong, Middle East and Malaysia. Success factors of these issuances include involvement of an issuer with high credit quality, recognition by central bank for using the Sukuk in its discount facility for commercial banks, centralized clearing services for the Sukuk and global banking network for underwriting the Sukuk. The lessons from the Hong Kong Sukuk are good references for other economies to develop their regional Islamic capital markets and to integrate the markets into the global capital market.

Jensen's Alpha Estimation Models in Capital Asset Pricing Model

  • Phuoc, Le Tan
    • The Journal of Asian Finance, Economics and Business
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    • v.5 no.3
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    • pp.19-29
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    • 2018
  • This research examined the alternatives of Jensen's alpha (α) estimation models in the Capital Asset Pricing Model, discussed by Treynor (1961), Sharpe (1964), and Lintner (1965), using the robust maximum likelihood type m-estimator (MM estimator) and Bayes estimator with conjugate prior. According to finance literature and practices, alpha has often been estimated using ordinary least square (OLS) regression method and monthly return data set. A sample of 50 securities is randomly selected from the list of the S&P 500 index. Their daily and monthly returns were collected over a period of the last five years. This research showed that the robust MM estimator performed well better than the OLS and Bayes estimators in terms of efficiency. The Bayes estimator did not perform better than the OLS estimator as expected. Interestingly, we also found that daily return data set would give more accurate alpha estimation than monthly return data set in all three MM, OLS, and Bayes estimators. We also proposed an alternative market efficiency test with the hypothesis testing Ho: α = 0 and was able to prove the S&P 500 index is efficient, but not perfect. More important, those findings above are checked with and validated by Jackknife resampling results.

A Legal and Policy Analysis of KRW Internationalization from the Perspective of Offshore Circulation

  • Son, Sam-Ho
    • Journal of Distribution Science
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    • v.11 no.3
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    • pp.23-29
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    • 2013
  • Purpose - Recently, the Korean government is seeking to internationalize KRW and reduce its heavy reliance on the U.S. dollar and better cope with risks from external turbulence. However, there has been too little study on this subject in comparision with its importance. The main objective of the paper is to distinguish the descrete stages of the KRW internationalization and recognize the costs and benefits of each stage. Research design, data, methodology - In order to achieve its goal, this study accomplishes a formal policy analysis based on potential factors of currency internationalization and an examination of legal practices in relation to Foreign Exchange Transaction Regulation (the Regulation). Results - This study found that securing monetary policy may not be easy under liberalized capital account for a small open economy like Korea in view of the trillema. In addition, the inherent ambiguity of the Regulation may increase the costs of KRW internationalization. Conclusions-This study revealed the negative system for the control of foreign exchange of the Korean government. The excessive regulatory restrictions on foreign exchange may hinder the process of KRW internationalization. Some legal and policy reforms are needed to improve related regulation and infrastructure.

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The Effect of firm-specifics on forecast accuracy: The case of IPO firms in Korea (코스닥 신규상장 기업의 특성에 따른 재무분석가의 이익예측력에 관한 연구)

  • Jeon, Seong il;Lee, Ki se
    • Knowledge Management Research
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    • v.13 no.5
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    • pp.1-13
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    • 2012
  • This study investigates whether firm-specifics affect forecast accuracy using a sample of IPO firms in Korea. The forecasts accuracy can be differentiated depending on firm specifics. This study uses the foreign investor, intangible asset and patents as firm specifics. The analysts are divided into two groups by firm-specifies(foreign investors ratio of low and high, intangible asset ratio of low and high, patents of acquisition) and also examine the degree of analysts's forecast accuracy over the two groups. and examined the degree of the analysts' forecast accuracy over the two groups. The sample is composed of 460 IPO (Initial Public Offering) firms listed on the KOSDAQ (Korean Securities Dealers Automated Quotations) for the period from 2001 to 2009. The analysts' forecast accuracy is much higher in the group of high foreign investor but is lower in the group of high intangible assets and patents. Also, the group of high foreign investors respectively interacts with group of high intangible assets ratio and group of patents of acquisition. In result, The analysts' forecast accuracy is higher because foreign investor is decreased information asymmetry. This study compares suggests that patents may be helpful for predicting forecast accuracy.

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A Study on the Optimal Trading Frequency Pattern and Forecasting Timing in Real Time Stock Trading Using Deep Learning: Focused on KOSDAQ (딥러닝을 활용한 실시간 주식거래에서의 매매 빈도 패턴과 예측 시점에 관한 연구: KOSDAQ 시장을 중심으로)

  • Song, Hyun-Jung;Lee, Suk-Jun
    • The Journal of Information Systems
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    • v.27 no.3
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    • pp.123-140
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    • 2018
  • Purpose The purpose of this study is to explore the optimal trading frequency which is useful for stock price prediction by using deep learning for charting image data. We also want to identify the appropriate time for accurate forecasting of stock price when performing pattern analysis. Design/methodology/approach In order to find the optimal trading frequency patterns and forecast timings, this study is performed as follows. First, stock price data is collected using OpenAPI provided by Daishin Securities, and candle chart images are created by data frequency and forecasting time. Second, the patterns are generated by the charting images and the learning is performed using the CNN. Finally, we find the optimal trading frequency patterns and forecasting timings. Findings According to the experiment results, this study confirmed that when the 10 minute frequency data is judged to be a decline pattern at previous 1 tick, the accuracy of predicting the market frequency pattern at which the market decreasing is 76%, which is determined by the optimal frequency pattern. In addition, we confirmed that forecasting of the sales frequency pattern at previous 1 tick shows higher accuracy than previous 2 tick and 3 tick.

Fractionally Integrated Processes in Securities Markets (증권시장에서 형성되는 실수적분과정 : 분수적분과정, 무작위행보와 평균회귀과정)

  • Rhee, Il-King
    • The Korean Journal of Financial Management
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    • v.19 no.2
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    • pp.159-185
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    • 2002
  • 한 시계열이 비정상적과정에 의해 생성될 때 이 시계열의 정상성을 확보하기 위하여 시계열의 차분을 수행한다. 이 시계열에 I(1)을 적용하여도 정상적과정이 되지 못하는 경우가 존재하고 있다. 그러면 이 시계열은 과도한 차분과정을 거치게 된다. 따라서 차분모수 d는 0

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