• Communications for Statistical Applications and Methods
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• 제31권5호
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• pp.585-599
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• 2024

Options pricing remains a critical aspect of finance, dominated by traditional models such as Black-Scholes and binomial tree. However, as market dynamics become more complex, numerical methods such as Monte Carlo simulation are accommodating uncertainty and offering promising alternatives. In this paper, we examine how effective different options pricing methods, from traditional models to machine learning algorithms, are at predicting KOSPI200 option prices and maximizing investment returns. Using a dataset of 2023, we compare the performance of models over different time frames and highlight the strengths and limitations of each model. In particular, we find that machine learning models are not as good at predicting prices as traditional models but are adept at identifying undervalued options and producing significant returns. Our findings challenge existing assumptions about the relationship between forecast accuracy and investment profitability and highlight the potential of advanced methods in exploring dynamic financial environments.

• Communications for Statistical Applications and Methods
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• 제6권2호
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• pp.523-532
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• 1999

Generalized linear models have various applications for data arising from many kinds of statistical studies. Although the response variable is generally assumed to be generated from a wide class of probability distributions we focus on count data that are most often analyzed using binomial models for proportions or poisson models for rates. The methods and results presented here also apply to many other categorical data models in general due to the relationship between multinomial and poisson sampling. The novelty of the approach suggested here is that all conditional distribution s can be specified directly so that staraightforward Gibbs sampling is possible. The prior distribution consists of two stages. We rely on a normal nonconjugate prior at the first stage and a vague prior for hyperparameters at the second stage. The methods are demonstrated with an illustrative example using data collected by Rosenkranz and raftery(1994) concerning the number of hospital admissions due to back pain in Washington state.

• 한국정보시스템학회지:정보시스템연구
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• 제10권2호
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• pp.33-64
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• 2001

With the development of the Internet, electronic commerce, electronic markets, and digital economy, new business paradigm and new ways of business have been emerging and developing. The development of right and robust business models for electronic markets is a key for Internet business success. This parer reviews previous studies and successful cases for business models based on the Internet. This paper presents strategic factors such as the business value and the source of revenue, products and services, business processes and technologies, and the characteristics of electronic markets and relationship with customers and partners as a framework for developing sustainable and robust business models. This paper presents seven propositions for developing successful Internet business models as guidelines for practitioners and theorists.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2008년도 춘계학술대회논문집
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• pp.498-501
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• 2008

Knowledge of airflow characteristics in nasal cavities is essential to understand the physiological and pathological aspects of nasal breathing. Several studies have utilized physical models of the healthy nasal cavity to investigate the relationship between nasal anatomy and airflow. In our laboratory, there have been a series of experimental investigations on the nasal airflow in normal, abnormal, and deformed nasal cavity models cavity models by PIV under both constant and periodic flow conditions. In this time normal and several deformed nasal cavity models, which simulate surgical operation, Turbinectomy, are investigated numerically by the FVM general purpose code and PIV analysis. The comparisons of these results are appreciated. Dense CT data and careful treatment of model surface under the ENT doctor's advice provide more sophisticated cavity models. The Davis (LaVision Co.) code is used for PIV flow analysis. Average and RMS distributions have been obtained for inspirational and expirational nasal airflows in the normal and deformed nasal cavities.

• 국제초고층학회논문집
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• 제2권2호
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• pp.105-113
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• 2013

Recent studies proved turbulent flow properties in high-rise building models differ from those in low-rise building models by comparing turbulent statistics. Although it is important to understand the flow characteristics within and above high-rise building models in the study of urban environment, it is still unknown and under investigation. For this reason, we performed wind tunnel experiment using Particle Image Velocimetry (PIV) to investigate and identify the turbulent flow properties and characteristic flow patterns in high-rise building models. In particular, we focus on instantaneous flow field near the canopy and extracted flow field when homogeneous flow field were observed. As a result, six characteristic flow patterns were identified and the relationship between these flow patterns and turbulent organized structure were shown.

• Journal of Information Technology Applications and Management
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• 제11권1호
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• pp.117-135
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• 2004

Since human decision making behavior is likely to follow nonlinear strategy, it is conjectured that the human decision making behavior can be modeled better by nonlinear models than by linear models. All that linear models can do is to approximate rather than model the decision behavior. This study attempts to test this conjecture by analyzing human decision making behavior and combining the results of the analysis with predictive performance of both linear models and nonlinear models. In this way, this study can examine the relationship between the predictive performance of models and the existence of valid nonlinear strategy in decision making behavior. This study finds that the existence of nonlinear strategy in decision making behavior is highly correlated with the validity of the decision (or the human experts). The second finding concerns the significant correlations between the model performance and the existence of valid nonlinear strategy which is detected by Lens Model. The third finding is that as stronger the valid nonlinear strategy becomes, the better nonlinear models predict significantly than linear models. The results of this study bring an important concept, validity of nonlinear strategy, to modeling human experts. The inclusion of the concept indicates that the prior analysis of human judgement may lead to the selection of proper modeling algorithm. In addition, lens Model Analysis is proved to be useful in examining the valid nonlinearity in human decision behavior.

• 수산경영론집
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• 제33권2호
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• pp.75-98
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• 2002

As a contribution to developing fishery stock assessment, optimum sustainable yield and its international standards such as MSY, MEY, and dynamic MEY for six recommended fisheries are developed using bio-economic models. For selecting the appropriate model, five models - Schaefer, Schnute, Walters and Hilborn, Fox, and CY&P models are tested in effort and catch data of six species. Surprisingly all the models except the CY&P model failed to satisfy statistical standards such as goodness-of-fitness and reliability. Generally, the CY&P model holds good fitness and statistically significant level for all of six fisheries. However, the CY&P model for squid, where the intrinsic growth rate is high, could not explain MSY, MEY, and dynamic MEY appropriately. This study makes a contribution to develop the modified model for the intrinsic growth rate of 1. The reformulated model represents the results reasonably even though the estimated equation has not good fitness. Although most of the CY&P models appear to have good fits and validated results for some cases, these models also seem to be quite sensitive to parameters which means a more stable model should be developed and data should carefully be handled. In particular biological and technical interactions such as multispecies, predator prey relationship, age structure and mortality should be taken into account. In addition, economic factors and fishing efforts such as price, cost, technical change and a reasonable function of fishing input should simultaneously be considered.

• Child Health Nursing Research
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• 제5권3호
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• pp.358-367
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• 1999

The Purpose of this study was to identify of parent-child relationship, Perceived social support and coping of female in late adolescents and its relationships. The underlying assumption is that Parent-child relationship based on internal working cognition affects on perceived social support and coping. The sample was consisted of 277 female students of college. The instruments used in this study were Parental bonding instrument (PBI)(Parker, Tupling & Brown. 1979), Personal resources questionnaire : PRQ-part II (Weinert ' Brant, 1987), and Way of coping (Folkman & Lazarus, 1985). The data was analyzed using frequencies, correlation coefficient, ANOVA. and t-test. As a result. perceived social support correlated positively with Parental care and negatively with parental overprotection. Perceived social support showed positive relationship with coping. Perceived social support differed according to parent-child relationship type. The group of 'affectionate constraint' high care and high overprotection. reported high perceived social support, but 'affectionless control'(low care and high overprotection) reported low perceived social support. The group of high perceived social support showed higher parental care and higher coping than low one. The group of high coping showed higher parental care, lower parental overprotection and higher perceived social support than low one. Findings from this study linking retrospective accounts of early parental relationships to current working models concerning the nature of supportive relationships are consistent with attachment theory that individual who, as children, experienced relationships with their parents that were independent-encourage. affectionate, and not overprotective developed working models of others as available to provide social support. This study confirmed that perceived social support significantly related to coping in dealing with stress.

• The Journal of Asian Finance, Economics and Business
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• 제9권7호
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• pp.63-79
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• 2022

Past studies on the influence of corporate social responsibility (CSR) activities on firms have been inconsistent, highlighting the significance of examining how CSR affects the performance of Malaysian government-linked companies (GLCs). The study aims to investigate the impact of CSR dimensions (economic, legal, ethical, and philanthropic) on firm performance from 2016 to 2020 using a sample of 31 GLCs from the top 100 companies under the Main Board of Bursa Malaysia. A total of 35 GLCs were selected as the study sample size based on the top 100 businesses listed under the board of Bursa Malaysia as of 31 December 2020. The study employed correlation and multiple linear regression models to examine the relationship between CSR dimensions and firm performance. Financial performance is evaluated using accounting-based models of return on assets (ROA) and return on equity (ROE) and market-based models of earnings per share (EPS) and market value (MV). The CSRHub database was employed to collect information on the performance of company CSR dimensions. The findings suggested a significant positive relationship between ethical and philanthropic CSR and firm performance regarding ROE. Thus, GLCs prioritized ethical and philanthropic CSR over other dimensions.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.181-189
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• 2022

The purpose of this study is to verify study models and examine a causal relationship among authenticity, job satisfaction, organizational commitment, quality of life and job achievement for amateur business team player. In order to achieve the purpose, this study conducted structural equation model analysis for study models consisting of extraneous variables after examining the authenticity(organization, leader) that amateur business players perceive and endogenous variables including job satisfaction, organizational commitment, quality of life, and job performance. The object of questionnaires in this study selected sports business team players nationwide as a population and 348 players were chosen as final effective samples by applying a convenient sampling method for offline and online questionnaires. The research tool for this study is a questionnaire. The two dimensions of authenticity were used by developing a scale. For all endogenous variables, the scales used in previous studies were modified and used according to the purpose of the study. This study analyzed the collected data, applying SPSS Win ver. 23.0 and AMOS 20.0 programs in order to analyze the characteristics of the study objects, describe questionnaires, and verify selected study hypothesis, individual hypothesis was verified after identifying the reliability and validity of measurement model, and the fitness verification of study models. In the results, all of the 8 hypothesis were adopted and the reciprocal relationship among each factors in the study model were observed.