• Title/Summary/Keyword: price variance

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PRICING VULNERABLE POWER OPTION UNDER A CEV DIFFUSION

  • Ha, Mijin;Kim, Donghyun;Yoon, Ji-Hun
    • East Asian mathematical journal
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    • v.37 no.5
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    • pp.553-566
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    • 2021
  • In the over-the-counter market, option's buyers could have a problem for default risk caused by option's writers. In addition, many participants try to maximize their benefits obviously in investing the financial derivatives. Taking all these circumstances into consideration, we deal with the vulnerable power options under a constant elasticity variance (CEV) model. We derive an analytic pricing formula for the vulnerable power option by using the asymptotic analysis, and then we verify that the analytic formula can be obtained accurately by comparing our solution with Monte-Carlo price. Finally, we examine the effect of CEV on the option price based on the derived solution.

Effect of Measurement Error on the Determination of the Optimal Process Mean for a Canning Process (캔 공정의 최적공정평균을 결정하는데 있어서 측정오차의 영향)

  • Hong, Sung-Hoon;Lee, Min-Koo
    • Journal of Korean Society for Quality Management
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    • v.22 no.2
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    • pp.41-50
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    • 1994
  • Consider a canning process where cans are filled with an expensive ingredient. Cans weighting above the specified limit are sold in a regular market for a fixed price, and underfilled cans are emptied and refilled at the expense of a reprocessing cost. In this paper, the effect of measurement error on the determination of the optimal process mean for a canning process is examined. It is assumed that the quantity X of ingredient in a can is normally distributed with unknown mean and known variance, and the observed value Y of X is also normally distributed with known mean and variance. A profit model is constructed which involves selling price. cost of ingredients, reprocessing cost. and cost from an accepted nonconforming can, and methods of finding the optimal process mean and the cutoff value on Y are presented. It is shown that the optimal process mean increases. and the expected profit decreases when the measurement error is relatively large in comparison to the process variance.

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A Causality Analysis on the Relationship Between National Park Visitor Use and Economic Variables (국립공원 탐방수요와 경제변수간의 인과성 분석)

  • Sim, Kyu-Won;Lee, Ju-Hee
    • Journal of Korean Society of Forest Science
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    • v.99 no.4
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    • pp.573-579
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    • 2010
  • This study was carried out to investigate the relationship between visitor uses of national parks and economic variables, such as the index of industrial product and the consumer price index. The results from the Granger Causality test showed that the index of industrial product and the consumer price index influenced visitor use at national parks. Also the Impulse Response Analysis showed that the index of industrial product and the consumer price index greatly influenced national park visitor use in the short term as well as the long term. The study showed that national park visitor use was mainly influenced by variance decompositions. These results suggested that economic variables could be used to not only forecast the demand for recreation but also establish recreational policies.

The Effect of Color on Perceived Price Attractiveness: Interaction of Regulatory Focus and Involvement (가격 매력도 지각에 대한 가격 색상의 영향: 조절초점과 관여도와의 상호작용을 중심으로)

  • Park, Eun-Young;Lee, Eun-Young
    • Journal of Distribution Science
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    • v.14 no.10
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    • pp.117-126
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    • 2016
  • Purpose - Color is perceived to have an effect on humans' cognition and behavior because of its association with specific concepts. Since there are few studies linking color and price presentation, we investigated a constrained condition of consumers' regulatory focus and involvement. Research design, data, and methodology - We performed a 2 (color: red vs. black) × 2 (regulatory focus: prevention vs. promotion) × 2 (involvement: high vs. low) test of our hypothesis. The target product was a portable data storage device (USB) and data from 165 respondents were analyzed. Each condition had two stages. In the first, product information and price were presented. After reviewing the product information, respondents evaluated price attractiveness. In the second stage, respondents filled out regulatory focus and involvement questionnaires. The main variables were color, regulatory focus, and involvement. Therefore, we ran a three-way ANOVA (Analysis of Variance) to test our hypothesis. Results - When the price was red (vs. black), consumers perceived the red price as more attractive than the black price. However, this effect varied by situation. Specifically, in the low involvement condition among prevention-focused consumers, when the price was in red, price attractiveness was higher than when the price was in black. However, for promotion-focused consumers, there was no difference in the price color effect. In the high involvement condition, promotion-focused consumers showed stronger price attractiveness for the red price than the black price. However, the effect of price color diminished for prevention-focused consumers. That is, prevention-focused consumers did not reveal a different price perception between red versus black in the high involvement condition. Conclusions - This research contributes by academically linking the effects of color to price attractiveness, and focusing on the interaction of regulatory focus and involvement. When involvement is low, the effect of red disappeared for promotion-focused consumers, whereas the same happened for prevention-focused consumers under the condition of high involvement.

An Empirical Study on the Contribution of Housing Price to Low Fertility (주택가격 상승 충격의 저출산 심화 기여도 연구)

  • Park, Jinbaek
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.607-612
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    • 2021
  • This study estimated the impact of the shock of housing price increase on the total fertility rate and the contribution of each variable to changes in the TFR. This study is differentiated by estimating the contribution rate of each variable to the fertility rate through the Shapley decomposition and the panel VAR's forecast error variance decomposition, which previous studies have not attempted. The main results of this study are as follows. First, the decline in the TFR in Korea has been strongly influenced by the recent decline in the total fertility rate, and this influence is expected to continue in the future. In the case of housing costs, in the past, housing sales prices had a relatively small contribution to changes in the total fertility rate compared to the jeonse prices, but their influence is expected to increase in the long term in the future. It has been demonstrated that private education expenses other than housing sale price and Jeonse price also acted as a major cause of the decline in the total fertility rate.

Stock Price Return and Variance of Unlisted Start-ups (비상장 스타트업의 주가수익률과 분산)

  • KANG, Won;SHIN, Jung-Soon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.1
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    • pp.29-43
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    • 2022
  • This study measures the realized rate of return of venture capital(VC) fund at the level of investment agreement(as opposed to fund level returns reported by most of the relevant studies). It also measures the stock price return of the VC's portfolio firms (unlisted start-ups) at firm level(as opposed to fund returns) and its variance for the first time using unique data of the VC funds held by the Korean Venture Capital Association. Results of the analysis confirm that VC fund returns exceed individual stock price returns. Additionally, it is confirmed that VC portfolio firms exhibit a positive relationship between risk and return measured by total risk. Finally, we find that stock price returns at firm level are lower than that implied by the associated levels of risk. Consequently, this may make individual investors hesitate to directly buy unlisted startups' stocks even when investment in individual startup companies guarantees high risk-high returns relationship.

The Impact of Low Price Coffee Shop Service Quality, Brand Image on Revisit Intention (저가 커피전문점의 서비스품질, 브랜드이미지, 재방문의도의 영향관계)

  • Lee, Sun-Ho
    • Culinary science and hospitality research
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    • v.22 no.3
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    • pp.44-54
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    • 2016
  • This study examined the factors that affect the relationship between low price coffee shops service quality and brand image, and rrevisit intention. A total of 225 questionnaires were distributed to consumers, of which 210 were deemed suitable for analysis after the removal of 15 unusable responses. In order to perform statistical analyses required in the study, the SPSS 18.0 Statistical Program was used for frequency analysis, factor analysis, and reliability analysis, correlations, and regression analysis. The results of exploratory factor analysis showed that four factors regarding service quality were extracted from all measurements with a KMO of 0.864 and a total cumulative variance of 73.235%, With regard to brand image, one factor was extracted with a total cumulative variance of 66.497% and a KMO score of 0.885. One factor for revisit intention was extracted that accounted for a total cumulative variance of 60.192% and a KMO score of 0.845. All factors were significant to 0.000 and the correlation between variables was significant. Thus, based on the results, the main research hypothesis that identifies the relationship among service quality, brand image and revisit intention was partially adopted.

Dynamic Linkages between Food Inflation and Its Volatility: Evidence from Sri Lankan Economy

  • MOHAMED MUSTAFA, Abdul Majeed;SIVARAJASINGHAM, Selliah
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.4
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    • pp.139-145
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    • 2019
  • This study examines the dynamic linkages between food price inflation and its volatility in the context of Sri Lanka. The empirical evidence derived from the monthly data for the period from 2003M1 to 2017M12 for Sri Lanka. The relationship between inflation rate and inflation volatility has attracted more attention by theoretical and empirical macroeconomists. Empirical studies on the relationship between food inflation and food inflation variability is scarce in the literature. Food price inflation is defined as log difference of food price series. The volatility of a food price inflation is measured by conditional variance generated by the FIGARCH model. Preliminary analysis showed that food inflation is stationary series. Granger causality test reveals that food inflation seems to exert positive impact on inflation variability. We find no evidence for inflation uncertainty affecting food inflation rates. Hence, the findings of the study supports the Friedman-Ball hypothesis in both cases of consumer food price inflation and wholesale food price inflation. This implies that past information on food inflation can help improve the one-step-ahead prediction of food inflation variability but not vice versa. Our results have some important policy implications for the design of monetary policy, food policy thereby promoting macroeconomic stability.

Are Korean Industry-Sorted Portfolios Mean Reverting?

  • Moon, Seongman
    • East Asian Economic Review
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    • v.20 no.2
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    • pp.169-190
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    • 2016
  • This paper tests the weak-form efficient market hypothesis for Korean industry-sorted portfolios. Based on a panel variance ratio approach, we find significant mean reversion of stock returns over long horizons in the pre Asian currency crisis period but little evidence in the post-crisis period. Our empirical findings are consistent with the fact that Korea accelerated its integration with international financial market by implementing extensive capital liberalization since the crisis.

Valuation of European and American Option Prices Under the Levy Processes with a Markov Chain Approximation

  • Han, Gyu-Sik
    • Management Science and Financial Engineering
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    • v.19 no.2
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    • pp.37-42
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    • 2013
  • This paper suggests a numerical method for valuation of European and American options under the two L$\acute{e}$vy Processes, Normal Inverse Gaussian Model and the Variance Gamma model. The method is based on approximation of underlying asset price using a finite-state, time-homogeneous Markov chain. We examine the effectiveness of the proposed method with simulation results, which are compared with those from the existing numerical method, the lattice-based method.