• Title/Summary/Keyword: price variance

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Recognition and Importance-Satisfaction of Apple Processed Products (사과가공품의 인지도 및 중요도-만족도 분석)

  • Huh, Moo-Yul
    • Journal of the Korean Society of Food Culture
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    • v.25 no.1
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    • pp.1-8
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    • 2010
  • The purpose of this study was to analyze consumer recognition, perceived importance, and satisfaction to create a new apple processed product and to promote its consumption. Data were collected from 527 men and women living throughout Korea through a self-administrated questionnaire. Frequencies, one-way analysis of variance, and Duncan's multiple range were conducted using SPSS v. 17.0 software. Recognition of juice and drinks, milk and dairy products, apple jam, and seasoning was high, while that of the other products was low. Consumer perceived importance of products was higher than consumer satisfaction of products. Quality preservation attributes were sanitation, taste, flavor, place of origin, and convenience of purchase. Attributes for improved consumer post-purchase satisfaction after purchasing were content of apple, quality of apple, price, and certificate of quality. The attributes of content of apple and certificate of quality were statistically different by consumer age.

PRICING OF TIMER DIGITAL POWER OPTIONS BASED ON STOCHSTIC VOLATILITY

  • Mijin Ha;Sangmin Park;Donghyun Kim;Ji-Hun Yoon
    • East Asian mathematical journal
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    • v.40 no.1
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    • pp.63-74
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    • 2024
  • Timer options are financial instruments proposed by Société Générale Corporate and Investment Banking in 2007. Unlike vanilla options, where the expiry date is fixed, the expiry date of timer options is determined by the investor's choice, which is in linked to a variance budget. In this study, we derive a pricing formula for hybrid options that combine timer options, digital options, and power options, considering an environment where volatility of an underlying asset follows a fast-mean-reverting process. Additionally, we aim to validate the pricing accuracy of these analytical formulas by comparing them with the results obtained from Monte Carlo simulations. Finally, we conduct numerical studies on these options to analyze the impact of stochastic volatility on option's price with respect to various model parameters.

The Price Discovery ana Volatility Spillover of Won/Dollar Futures (통화선물의 가격예시 기능과 변동성 전이효과)

  • Kim, Seok-Chin;Do, Young-Ho
    • The Korean Journal of Financial Management
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    • v.23 no.1
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    • pp.49-67
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    • 2006
  • This study examines whether won/dollar futures have price discovery function and volatility spillover effect or not, using intraday won/dollar futures prices, volumes, and spot rates for the interval from March 2, 2005 through May 30, 2005. Futures prices and spot rates are non-stationary, but there is the cointegration relationship between two time series. Futures returns, spot returns, and volumes are stationary. Asymmetric effects on volatility in futures returns and spot returns does not exist. Analytical results of mean equations of the BGARCH-EC (bivariate GARCH-error correction) model show that the increase of futures returns raise spot returns after 5 minutes, which implies that futures returns lead spot returns and won/dollar futures have price discovery function. In addition, the long-run equilibrium relationship between the two returns could help forecast spot returns. Analytical results of variance equations indicate that short-run innovations in the futures market positively affect the conditional variances of spot returns, that is, there is the volatility spillover effect in the won/dollar futures market. A dummy variable of volumes does not have an effect on two returns but influences significantly on two conditional variances.

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A Study on the Effect of Changes in Oil Price on Dry Bulk Freight Rates and Intercorrelations between Dry Bulk Freight Rates (국제유가의 변화가 건화물선 운임에 미치는 영향과 건화물선 운임간의 상관관계에 관한 연구)

  • Chung, Sang-Kuck;Kim, Seong-Ki
    • Journal of Korea Port Economic Association
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    • v.27 no.2
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    • pp.217-240
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    • 2011
  • In this study, vector autoregressive and vector error correction models in the short-run dynamics are considered to analyze the effect of the changes in international crude oil prices on Baltic dry index, Baltic Capesize index and Baltic Panamax index, and the intercorrelations between Capesize and Panamax prices, respectively. First, using the vector autoregressive model, the changes in international crude oil price have a statistically significant positive effect for Capesize at lag 1, for Panamax a significant negative effect at lag 3 and a significant positive effect for Baltic dry index at lag 1. From the impulse response analysis, the international crude oil price causes Baltic dry index to increase in the sort-run and the effect converges on the mean after 3 months. Second, using the vector error correction model, the empirical results for the spillover effects between Capesize and Panamax markets provide that in the case of the deviation from a long-run equilibrium the Panamax price is adjusted toward decreasing. The increases in freight rates of the Capesize market at lag 1 lead to increase the freight rates in Panamax market at present. The Panamax responses from the Capesize shocks increase rapidly for 3 months and the effect converges on the mean after 5 months. The Capesize responses from the Panamax shocks are relatively small, and increase weakly for 3 months and the effect disappears thereafter.

Finding optimal portfolio based on genetic algorithm with generalized Pareto distribution (GPD 기반의 유전자 알고리즘을 이용한 포트폴리오 최적화)

  • Kim, Hyundon;Kim, Hyun Tae
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.6
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    • pp.1479-1494
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    • 2015
  • Since the Markowitz's mean-variance framework for portfolio analysis, the topic of portfolio optimization has been an important topic in finance. Traditional approaches focus on maximizing the expected return of the portfolio while minimizing its variance, assuming that risky asset returns are normally distributed. The normality assumption however has widely been criticized as actual stock price distributions exhibit much heavier tails as well as asymmetry. To this extent, in this paper we employ the genetic algorithm to find the optimal portfolio under the Value-at-Risk (VaR) constraint, where the tail of risky assets are modeled with the generalized Pareto distribution (GPD), the standard distribution for exceedances in extreme value theory. An empirical study using Korean stock prices shows that the performance of the proposed method is efficient and better than alternative methods.

An Analysis of the Learner Choice Attributes of the Street Dance Academy (스트릿 댄스 학원의 학습자 선택속성 분석)

  • Cho, Ah-Hyun;Park, Sung-Jin
    • The Journal of the Korea Contents Association
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    • v.21 no.3
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    • pp.664-675
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    • 2021
  • This study is to analyze the selection criteria for street dance institutes in the subjects of ordinary people and students majoring in street dance who select the institutes. Moreover, it aims to enhance the perception and values of street dance and to provide with the required data for the development of institutes that train street dance. To do so, a survey was conducted in the subjects of 300 street dance learners who went to the street dance institutes. Frequency analysis, reliability test, correlation analysis, and one-way analysis of variance (ANOVA) were performed using SPSS 18.0 Program with the collected data, and the results are as follows. In summary, training programs, services, and promotional environment were identified to be important criteria to select the street dance institutes by the learners while the low level of perception on the price was found.

Data Babe Development for Blue Jeans Marketing Strategy(Part ll) - Focused on Young Adult's Brand Awareness, Brand Image and Consumer's Seeking Image in Fall 1997- (진의류 마케팅 전략을 위한 데이타 베이스 구축에 관한 연구(제2보) -1997년 추계 신세대 진바지 소비자의 상표 인지도, 상표 이미지와 소비자의 추구이미지를 중심으로-)

  • 김칠순;이훈자
    • Journal of the Korean Society of Clothing and Textiles
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    • v.22 no.4
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    • pp.503-514
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    • 1998
  • The purpose of this study was to develop a large representative data base for jeans marketing strategy This study was to survey brand features(launching year, launching company, design concept, sales volume, and price zone) in the current market, and was to examine brand awareness and it's relationship to segmented distribution regions, demo- graphic variables(sex, age, monthly household income, and seasonal clothing expenditure). This study was also to analyze brand image and consumer's seeking image. The 660 questionnaires were distributed and 618 reliable ones were used for statistical analysis. A SAS statistical package including frequency table, Chi-square test, factor analysis, analysis of variance(ANOVA), Duncan's multiple range test and paired-t test was used. The results are as follows: 1. Brand awareness involves "brand recall" based on asking a person to name the brand recalled first, and "brand recognition" based on asking to identify brand name from 30 given brands. The result of recall brand test indicated that Levi's was dominant brand. People recognized about 70.8% of brands on the average. Brand recognition was influenced by segmented distribution region and demographic variables. 2. There was significantly positive relationship between brand recognition and purchasing behavior. 3. National brands were more recognized than Licensed brands. 4. The result showed that "Nix" was best represented for sophisticated brand image, "Strom" for characteristic, "Jambangee" for resonable price, and "Levi's" for classic '||'&'||' comfortable brand image. 5. As a result of factor analysis on consumer's seeking image, six factors(characteristic, young, intelligent/sexy, comfortable, exotic and popular) were found. Several factors had a relationship with preferred design, demographic variables, fashion interest, and brand recognition. variables, fashion interest, and brand recognition.

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Babies' Wear Shopping Behavior of Housewives by Their Fashion Lifestyle (주부의 의생활양식에 따른 유아복 점포행동)

  • 황춘섭
    • Journal of the Korean Society of Costume
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    • v.48
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    • pp.183-196
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    • 1999
  • The purpose of the Present research is to investigate the effect of fashion lifestyle on babies' clothing shopping attitude of housewives. In this study shopping attitude includes criteria for shop selection prefered types of shop and prefered shop atmosphere. Subjects are 447 housewives residing in Seoul Bundang Illsan and Pungchon and having child under 4 years old Data was analyzed by factor analysis cluster analysis analysis of variance and chi-square. The results of the study are as follows: 1. Housewives can be classified into four groups according to their fashion lifestyle the group of planned buying conservative/practical group the group of self-actualization/individuality and the high involved and care for shopping group. 2. Fashion lifestyle is different according to their age. The high involved and care for shopping group have the lager proportion in twenties than thirties. The conservative/practical group have a larger proportion in thirties. 3. The factors of shop selection which serve as criteria for shop the quality of service encironment anround shop quality of goods convenience to care about babies fashionable goods location of the shop and price of goods. The group of self actualization/personality prefers shops carrying fashionable and unique style of babies clothing and showing prestige. The conservative/practical group prefers shops carrying good quality clothing and having variety in size and design. The high involved and careful shopping group prefers shops having wide space as well as carrying fashionable goods. 4. Among the types of babies clothing shops. department stroe is the most preferred Low-price brand shop is followed by traditional open market. The conservative/practical group and the group of planned shopping use department strores national bran shops street shops and import shops more often than other groups. 5. The result of the study indicates there are considerable differences in housewives attitudes of babies clothing shopping acording to their own fashion lifestyle. Therefore the retailer of babies clothing should decide their marketing policy on the basis of the understanding and analysis of costomer's fashion lifestyle. And they have to reflect their costomer's shopping attitudes on their marketing policy to improve the satisfaction of both consumer and retailer as well.

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An Empirical Study on Mutual Influence between Economic Index and Distribution Industry in Korean (한국 유통산업이 한국 경제에 미치는 상호영향력에 관한 실증적 연구)

  • YIM, Byung-Jin
    • The Journal of Industrial Distribution & Business
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    • v.10 no.9
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    • pp.53-60
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    • 2019
  • Purpose - The objective of this paper is to discover if there exists a relationship between the economic index and distribution industry index in Korean. Because of the distribution industry boom in the recent years, a lot of interest in the relationship between the economic index and distribution industry index in Korean and the economy has been generated. This article examine on the mutual influence between economic index and distribution industry index in Korean. Research design, data, and methodology - For this purpose, we use the vector-auto regression model, impulse response function and variance decomposition of the economic index and distribution industry index, Granger causality test using weekly data on the economic index and distribution industry price index in korea. The sample period is covering from January 2, 2010 to August 31, 2019. The VAR model can also be linked to cointegration analysis. Cointegration Analysis makes possible to find a mechanism causing x and y to move around a long-run equilibrium (Engle and Granger, 1987). This equilibrium means that external shocks may separate the series temporarily at any particular time, but there will be an overall tendency towards some type of long-run equilibrium. If variables are found to have this tendency they are said to be cointegrated and a long-run relationship between these series is established. These econometric tools have been applied widely into economics and business areas to analyze intertemporal linkages between different time series. Results - This research showed following main results. First, from the basic statistic analysis of the economic index and distribution industry index in Korean, the economic index and the distribution industry index in korea have unit roots. Second, there is at least one cointegration between the economic index and distribution industry index in Korean. Finally, the correlation between of the economic index and the distribution industry index in korea is (+) 0.528876. Conclusions - We find that the distribution industry price index Granger cause the economic index in korea. As a consequence, the distribution industry index affect the economic index in Korean. The distribution industry index to the economic index is stronger than that from the economic index to the distribution industry index.

Robo-Advisor Profitability combined with the Stock Price Forecast of Analyst (애널리스트의 주가 예측이 결합된 로보어드바이저의 수익성 분석)

  • Kim, Sun-Woong
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.199-207
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    • 2019
  • This study aims to analyze the profitability of Robo-Advisors portfolio combined with the analysts' forecasts on the Korean stock prices. Sample stocks are 8 blue-chips and sample period is from 2003 to 2019. Robo-Advisor portfolio was suggested using the Black-Litterman model combined with the analysts' forecasts and its profitability was analyzed. Empirical result showed the suggested Robo-Advisor algorithm produced 1% annual excess return more than that of the benchmark. The study documented that the analysts' forecasts had an economic value when applied in the Robo-Advisor portfolio despite the prevalent blames from investors. The profitability on small or medium-sized stocks will need to be analyzed in the Robo-Advisor context because their information is relatively less known to investors and as such is expected to be strongly influenced by the analysts' forecasts.