• Journal of Distribution Science
• /
• v.13 no.8
• /
• pp.61-71
• /
• 2015

Purpose - Before the year 2000, the housing prices in Korea were increasing every decade. After 2000, for the first time, Korea experienced a decrease in housing prices, and the repetitive cycle of price fluctuation started. Such a "boom and bust cycle" is a worldwide phenomenon. The current study proposes a mathematical model to explain price fluctuation cycles based on the theory of consumer psychology. Specifically, the model incorporates the effects of buyer expectations of future prices on actual price changes. Based on the model, this study investigates various independent variables affecting the amplitude of price fluctuations in housing markets. Research design, data, and methodology - The study provides theoretical analyses based on a mathematical model. The proposed model uses the following assumptions of the pricing mechanism in housing markets. First, the price of a house at a certain time is affected not only by its current price but also by its expected future price. Second, house investors or buyers cannot predict the exact future price but make a subjective prediction based on observed price changes up to the present. Third, the price is determined by demand changes made in previous time periods. The current study tries to explain the boom-bust cycle in housing markets with a mathematical model and several numerical examples. The model illustrates the effects of consumer price elasticity, consumer sensitivity to price changes, and the sensitivity of prices to demand changes on price fluctuation. Results - The analytical results imply that even without external effects, the boom-bust cycle can occur endogenously due to buyer psychological factors. The model supports the expectation of future price direction as the most important variable causing price fluctuation in housing market. Consumer tendency for making choices based on both the current and expected future price causes repetitive boom-bust cycles in housing markets. Such consumers who respond more sensitively to price changes are shown to make the market more volatile. Consumer price elasticity is shown to be irrelevant to price fluctuations. Conclusions - The mechanism of price fluctuation in the proposed model can be summarized as follows. If a certain external shock causes an initial price increase, consumers perceive it as an ongoing increasing price trend. If the demand increases due to the higher expected price, the price goes up further. However, too high a price cannot be sustained for long, thus the increasing price trend ceases at some point. Once the market loses the momentum of a price increase, the price starts to drop. A price decrease signals a further decrease in a future price, thus the demand decreases further. When the price is perceived as low enough, the direction of the price change is reversed again. Policy makers should be cognizant that the current increase in housing prices due to increased liquidity can pose a serious threat of a sudden price decrease in housing markets.

• Journal of the Economic Geographical Society of Korea
• /
• v.12 no.4
• /
• pp.665-680
• /
• 2009

This study aims at analyzing the performance of Real Estate Investment Trusts(REITs) by Risk Adjustment Model. The main results are as follows. Firstly, most property types of REITs gain positive(+) excess overall returns at first and second period. On the contrary, most property types of REITs gain negative(-) excess overall returns and their standard deviations are larger at financial crisis period. Secondly, lodging, regional mall and commercial mortgage show lower risk-lower return, and freestanding, apartment and specialty show higher risk-higher return than average REITs, according to the CAPM results of . Moreover CAPM results of show the characteristics of REITs as investment commodities changes into higher risk-higher return for financial crisis period. Lastly, risk adjusted demanded returns of REITs are affected positively(+) by systemic risks and negatively(-) by unsystemic risks, according to the Risk Adjustment Model results of both and . Comparing risk adjusted demanded returns of REITs with their realized returns, healthcare reveals the largest outperformance.

• Asia pacific journal of information systems
• /
• v.17 no.4
• /
• pp.97-112
• /
• 2007

Most traditional newspaper publishers provide online editions to counter the competition of online news providers. However, the relationship between the online and print editions of the same newspaper has not been clearly defined. Some see the online newspaper as a substitute, while others consider it a complement. A 2002 NAA online newspaper consumer survey indicated that one-third of its respondents said they were now using the print newspaper less. Others have argued that the online edition will not wipe out print consumption, and may even complement it. While the print edition offers particular advantages such as portability, less eye strain, and the tactile experience of a printed page, the online edition also offers specific advantages such as access to breaking news, continually updated information, access to old archives, etc. All these factors would tend to lower the degree of interchangeability between the products. However, recent empirical studies show that the online edition is a substitute for rather than a complement of the print edition. Still, to some print readers, the online edition provides additional value. In this paper, by capturing the two different aspects of online editions the substitute aspect and the additional value added aspect as well as other available online alternatives, we develop an analytical model to derive the optimal production and distribution strategies of both online and print editions. Confronting the "free versus fee" issue, we show that it is optimal to provide an online version of the print newspaper for free to non-print subscribers. However, the amount of free news content that the publishers need to put on the Web depends on the available alternatives on the online market. The "fee" and "free" options both have merits and demerits as well. If the publisher charges for the online version of the print newspaper, she can generate revenue from the fee charged to online readers. However, doing so will limit the size of the online audience and further reduce online advertising revenue. At the same time, by providing a high-quality online version and charging for it, the price of the print newspaper must stay low in order to lure high valued readers. On the contrary, if the publisher provides an online version of the print newspaper for free, she can obtain a larger audience for the online version. At the same time, by providing a low-quality online newspaper, the publisher can increase the print newspaper price to get more revenue from high valued offline readers, although no revenue is incoming from online version readers. Through systematic measuring of all the pros and cons, our analysis shows that the optimal option is not "fee" but "free."

• Journal of Environmental Impact Assessment
• /
• v.25 no.6
• /
• pp.457-465
• /
• 2016

Around the world, a lot of people are migrating to the urban areas, and new cities are continuously being constructed. Currently about 54 percent of the world's population live in the urban areas, and by 2050, it is expected to increase to 66 percent; thus, managing the urban areas is one of the most important challenges of sustainable development in the 21st century. The key to successful urban management is to preserve the urban green spaces, which provide aesthetic, psychological and health benefits to the urban citizens. However, the benefits of the urban green spaces are not fully appreciated within the societies due to the difficulty of economic valuation of the urban green spaces. This study examined whether the view of the Songdo Central Park has a positive influence on the prices of the surrounding apartments, using the hedonic pricing method. The results showed that a positive relation exists between the view of the Songdo Central Park and the price of apartment. The price of an apartment with the view of the Songdo Central Park was 5 percent higher than that of an apartment without the view. In addition, it was estimated that the proximity to the Songdo Central Park has an influence on the housing price as well.

• Korean Journal of Construction Engineering and Management
• /
• v.13 no.2
• /
• pp.102-109
• /
• 2012

One of key success factors in PPI(Public Private Investment) is the structure of risk sharing between the public and the private, and the determination mechanism of fair return to private participants relative to the risk that private participants undertake. In Korea, two basic types of PPI exist. One is BTO and the other is BTL. In BTO, most risks are taken by the private whereas the opposite is the case in BTL. No intermediate form exists. As a result, BTO type projects had difficulty in attracting private participants because of the excessive risks. In this study, one intermediate form is studied where demand risk is shared between the public and the private. In the setting where the public authority takes all the project revenues and then pays ladder type payments to private participants depending upon the level of project revenues, appropriate level of fixed payments is endogenously derived using the real option pricing model. From the fixed payments, expected investment returns are calculated based upon a certain distributional assumption. The results of this study is expected to help introducing diverse forms of PPI in Korea.

• Environmental and Resource Economics Review
• /
• v.24 no.3
• /
• pp.523-549
• /
• 2015

This paper investigates an oil refiner's asymmetric behavior in the adjustments of gasoline and diesel prices to changes in his own price and his rivals' prices as well as input costs. An asymmetric error correction model which allows a firm's pricing behavior to the deviation of other firms' prices from their long-run equilibrium level is employed for estimation using weekly data for the period April 2009 to January 2015. Evidence is found that there is a significant degree of asymmetry in the adjustment of wholesale prices to changes in crude oil price. A similar result in regard to the exchange rate is also found by the data. The estimation results for firm's response to changes in other firms' prices indicates that implicit collusion could be more easily exploited in the wholesale petroleum market as results of firms' interaction with each other and anticipation of rivals' pricing behavior. A few refiners show competitive price adjustment in response to the upward deviation of the others' prices from their equilibrium level.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.4
• /
• pp.228-234
• /
• 2021

Real estate market participants need to have a sense of predicting real estate prices in decision-making. Commonly used methodologies, such as regression analysis, ARIMA, and VAR, have limitations in predicting the value of an asset, which fluctuates due to unknown variables. Therefore, to mitigate the limitations, an artificial neural was is used to predict the price trend of apartments in Seoul, the hottest real estate market in South Korea. For artificial neural network learning, the learning model is designed with 12 variables, which are divided into macro and micro factors. The study was conducted in three ways: (Ed note: What is the difference between case 1 and 2? Is case 1 micro factors?)CASE1 with macro factors, CASE2 with macro factors, and CASE3 with the combination of both factors. As a result, CASE1 and CASE2 show 87.5% predictive accuracy during the two-year experiment, and CASE3 shows 95.8%. This study defines various factors affecting apartment prices in macro and microscopic terms. The study also proposes an artificial network technique in predicting the price trend of apartments and analyzes its effectiveness. Therefore, it is expected that the recently developed learning technique can be applied to the real estate industry, enabling more efficient decision-making by market participants.

• The Transactions of the Korea Information Processing Society
• /
• v.1 no.2
• /
• pp.141-153
• /
• 1994

According to various information needs of end-users in information society, it brings forward a study on a database(DB) product costing method in order to activate the DB industry. The objective of this paper is to propose the DB product costing method of the DB service. The first thing classifies the elements of DB product cost accounting by the activities of the circulation system of information in the DB service. Based on the assumptions in terms of DB product cost accounting, the second is to develop its model. The last is to present the process of DB product cost accounting by applying the model to a company which provides the DB service. It is necessary to research continuously regarding the DB product costing method because its purpose is to decide a DB service charge. The right pricing decision in the DB service charge will contribute toward the growth of the DB industry acceleratedly.

• The Journal of the Convergence on Culture Technology
• /
• v.3 no.4
• /
• pp.137-144
• /
• 2017

The purpose of this study is to examine the effectiveness of Customer Relationship Management (CRM) factors in the Supply Chain Management (SCM) context focusing on ashion apparel company. Especially, this study reveals whether a long term relationship is beneficial for all businesses regardless of negotiation power leverage. To this end, the mixed research methods that combined qualitative and quantitative approaches were conducted. The findings of this study are as follows: First, the research model which is CRMs for interactive relationship building were developed. Second, cause-and-effect relationships in the proposed model were partially supported depending on CRMs. The most effective CRMs offered are a guarantee of sales and a special discount. Customized products and quality, convenience, competitive pricing, and development of a product/system/service were effective to ultimately increase a switching cost.

• Asia pacific journal of information systems
• /
• v.20 no.2
• /
• pp.39-62
• /
• 2010

As an engineered product, a software package has multiple dimensions that must be designed judiciously to enhance its competitive viability. Functionality, reliability and price are three such common dimensions. However, many software products are sold as bundles of individual components and the competitive impact of bundling has received less attention in the research literature. In this paper, we examine the implications of software vendors using bundling as an element of competitive strategy. A game theoretic model of the actions of an incumbent and a new entrant is developed and the impact on vendor and consumer welfare is analyzed. Numerical experiments with the model show that (i) increasing bundle size is an effective strategy for the incumbent to increase its payoff at the cost of the entrant's payoff and consumer surplus, especially when the entrant's quality is low (ii) in the presence of bundling, the entrant can still increase its own payoff and consumer surplus at the cost of the incumbent's payoff, by increasing product quality up to the level that best segments market demand with the incumbent and (iii) an increase in bundle size by the incumbent, or an increase in quality by the entrant, can both result in an increase of total surplus. Similar results are observed in a related case where the entrant offers free software bundles. Our results provide insights into how software vendors may strategically use bundling and quality as additional product dimensions in order to stay competitive in the market. These results also inform the competing vendors of the impact of bundling related public policy actions on their respective payoffs.