• Environmental and Resource Economics Review
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• v.22 no.4
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• pp.759-784
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• 2013

Participants can use the allowances and offsets for implementing the compliance in the Emissions Trading Scheme(ETS). There are alternative commodities which are different prices it gives the opportunities to reduce the compliance costs and get the arbitrage. This study analyzes the price driver of spread which is the difference between EUA and sCER using AR-GARCH model, EUA and CER during the Phase 2 in EU ETS. The results show that there are common elements which impacts the EUA and sCER and also different elements between them. EUA and sCER get the effects from energy price and economic criteria such as coal price and financial crisis as common elements. However them get the effects from electric price, policy criteria such as restricted CERs and difference price between EUA and ERU price as different elements. The results shows that spread will be widen if energy price increase, especially oil and electric price give more impacts the spreads. This study has the means that it explains the reason why the spreads will broaden sharply in 2012. And it also suggests the price driver of spread during the whole period of Phase 2. In addition, this study shows that political aspects maybe become the main criteria of price change with structural elements shch as energy price in Korea ETS which starts in 2015.

• Management Science and Financial Engineering
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• v.18 no.2
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• pp.1-4
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• 2012

We study optimal trading strategy of a market maker with stock inventory. Following Avellaneda and Stoikov (2008), we assume the stock price follows a normal distribution. However, we take a constant expected rate of the stock return and assume that the stock volatility is an inverse function of the stock price level. We show that the optimal bid-ask spread of the market maker is wider for a higher expected rate of stock returns.

• Journal of the East Asian Society of Dietary Life
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• v.25 no.4
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• pp.607-615
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• 2015

Our final goal was to manufacture low-calorie healthy seafood spreads using high pressure processing. Prior to developing the spread products, we performed a nationwide survey of consumers aged in their teens and twenties (n=585). The questionnaire was designed to gain insights from consumers on spread products, including Importance-Performance Analysis (IPA), recipes, market prospects, etc. Consumers responded that 'price, calorie, fat content, sanitary, nutrition, and food additive' should be improved, in that order. They also thought that fruits and vegetables are highly acceptable in recipes of seafood spreads. In addition, consumers pointed that we should concentrate on 'taste, sanitary, flavor, nutrition, and price' to make spreads more successful. Regarding market prospects, consumers rated spreads with scores over 2.96/5.00, which means the market for seafood spreads is sufficient. The consumers' response provided guidelines for developing and manufacturing low-calorie healthy seafood spreads.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.45-53
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• 2020

Past literatures have not studied the impact of real-world events or information on the return and volatility of virtual currencies, particularly on the COVID-19 event, day-of-the-week effect, daily high-low price spreads and information flow rate. The study uses the ARMA-GARCH model to capture Bitcoin's return and conditional volatility, and explores the impact of information flow rate on conditional volatility in the Bitcoin market based on the Mixture Distribution Hypothesis (Clark, 1973). There were 3,064 samples collected during the period from 1^st of January 2012 to 20^th April, 2020. Empirical results show that in the Bitcoin market, a daily high-low price spread has a significant inverse relationship for daily return, and information flow rate has a significant positive relationship for condition volatility. The study supports a significant negative relationship between information asymmetry and daily return, and there is a significant positive relationship between daily trading volume and condition volatility. When Bitcoin trades on Saturday & Sunday, there is a significant reverse relationship for conditional volatility and there exists a day-of-the-week volatility effect. Under the impact of COVID-19 event, Bitcoin's condition volatility has increased significantly, indicating the risk of price changes. Finally, the Bitcoin's return has no impact on COVID-19 events and holidays (Saturday & Sunday).

• Management Science and Financial Engineering
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• v.20 no.1
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• pp.11-16
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• 2014

Extending from Grossman and Stiglitz (1980), we provide an asset pricing model of a synchronously traded cross-listed pair under information asymmetry. Following Garbade and Silber (1983), the model further embraces multi-market price discovery in a dynamic framework. The implications are as follows: The price sensitivity of holdings is higher for informed traders than for uninformed traders; the largest cross-border price spread occurs in the absence of arbitrageurs; price discovery is more likely in markets with a larger population of informed traders; and parity convergence accelerates with a higher price elasticity of demand of arbitrageurs.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.257-258
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• 2016

Construction of Multi-Family Housing(MFH) was rapidly spread in the 1990s, it has been mostly passed more than 20 years and it is faced to aging time. Remodeling has emerged a major issue in the construction industry as an alternative of improvement and recovery the initial performance of the deteriorated MFH. But, Many decision-makers are struggling to determine whether to conduct a remodeling because of profitability. In this context, this research was conducted as the following steps to achieve this research goal, i) remodeled MFH cases and comparative cases were collected, ii) the price information based on three time frames (i.e., before remodeling, after remodeling, and present) was collected, and iii) the relative price variation of the remodeled cases was analyzed and finally it is revealed that there are four patterns of price variation.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.605-613
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• 2020

In unfrictionless markets, one measure of asset pricing is its height of friction. This study develops a three-factor model by loosening the assumptions about stocks without friction, without risk, and perfectly liquid. Friction is used as an indicator of transaction costs to be included in the model as a variable that will reduce individual profits. This approach is used to estimate return, beta and other variable for firms listed on the Indonesian Stock Exchange (IDX). To test the efficacy of friction-adjusted three-factor model, we use intraday data from July 2016 to October 2018. The sample includes all listed firms; intraday data chosen purposively from regular market are sorted by capitalization, which represents each tick size from the biggest to smallest. We run 3,065,835 intraday data of asking price, bid price, and trading price to get proportional quoted half-spread and proportional effective half-spread. We find evidence of adjusted friction on the three-factor model. High/low trading friction will cause a significant/insignificant return difference before and after adjustment. The difference in average beta that reflects market risk is able to explain the existence of trading friction, while the difference between SMB and HML in all observation periods cannot explain returns and the existence of trading friction.

• ETRI Journal
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• v.10 no.1
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• pp.39-52
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• 1988

This study suggests the diffusion models to predict the spread pattern of telecommunications services. The extended models containing both (either) price and (or) income varible are offered on the basis of Bass model. At the empirical test using Korean telephone data, the models with either price or income varible are the best forecasting model under apriori selected econometric criteria.

• The KIPS Transactions:PartD
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• v.14D no.4 s.114
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• pp.395-406
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• 2007

The development of e-commerce made a great effect on all the aspect of marketing mix. Especially, marketing stimuli of Halfplaza.com, excessive price discounts and auction by order of arrival, spread out gradually in internet shopping mall industry. The study showed that excessive price discounts combined with auction by order of arrival increased consumer's perceived value, but decreased perceived risk. In conclusion, legal protections must be established since consumers tend to be vulnerable to various marketing mix of deceptive e-commerce players.

• New & Renewable Energy
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• v.17 no.2
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• pp.1-8
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• 2021

We estimated the price range of electricity transactions under the prosumer system, considering the spread of renewable energy and the prospect of introducing a surplus power trading system between power consumers in Korea. The range (min/max) of power transaction prices was estimated by prosumers and consumers who could purchase electricity from utilities if needed. It is assumed that utilities purchased electricity from prosumers and consumers under a Time-of-Use (TOU) rate, trading at a monthly price. The range of available transaction prices according to the amount of power purchased from utilities and the amount of transaction power was also estimated. The price range that can be traded is expected to vary depending on variables such as the TOU rate, purchased and surplus power, levelized cost of electricity, etc.