Heterogeneity and netting efficiency under central clearing: A stochastic network analysis

This paper examines the effect of heterogeneity in clearing members’ exposure management practices under central clearing. Our network model specifies the dynamics of prenetted interbank exposures to shape interdependent exposure distributions beyond normality. Employing over-the-counter derivatives market data from the U.S. Office of the Comptroller of the Currency, our simulation results indicate that heterogeneity in bank-to-bank exposure dynamics is systemically desirable, while the entire system benefits more from the central clearing in more homogeneous environments. Policymakers should incentivize individual clearing members to enhance resiliency and stability in counterparty exposure management to maximize netting efficiency under central clearing.     

Personalized goal-based investing via multi-stage stochastic goal programming

In this paper, we propose a goal-based investment model that is suitable for personalized wealth management. The model only requires a few intuitive inputs such as size of wealth, investment amount, and consumption goals from individual investors. In particular, a priority level can be assigned to each consumption goal and the model provides a holistic solution based on a sequential approach starting with the highest priority. This allows strict prioritization by maximizing the probability of achieving higher priority goals that are not affected by goals with lower priorities. Furthermore, the proposed model is formulated as a linear program that efficiently finds the optimal financial plan. With its simplicity, flexibility, and computational efficiency, the proposed goal-based investment model provides a new framework for automated investment management services.     

Does local political support influence financial markets? A study on the impact of job approval ratings of political representatives on local stock returns

Using data on job approval ratings of governors, U.S. senators, and the president, we find that firms located in states with high approval ratings outperform firms located in states with low approval ratings by .64% per month. Furthermore, this relationship is stronger when investors are actively involved in politics, when local politicians are closer to the center of political power, for small firms that have a larger proportion of local investors, and for financially strong areas where investors are ready to execute investments in local stocks. Overall, our study shows that investors’ political sentiment is important in determining stock returns.     

Out-of-stock,sold out,or unavailable? Framing a product outage in online retailing

Terms, such as “out-of-stock,” “sold out,” and “unavailable” are commonly used by retailers to communicate a product or brand outage. Although these terms are technically equivalent, prior research on product outage and product scarcity suggest that they may be interpreted and processed differently by consumers. The present research investigated whether the manner in which a product outage was framed elicited different consumer behavioral intentions, attributions, and perceptions in the context of online retailing. Data were collected by means of an online experiment. The experiment incorporated a hypothetical scenario approach in which research participants were asked to react to a particular combination of treatment and blocking factors. Results demonstrated that ceteris paribus, framing a product or brand outage as “sold out” produces fewer negative product and website reactions than does framing it as “out-of-stock” or “unavailable.”     

PARTISAN ADVOCATES

This paper studies the problem of an uninformed decision maker who acquires expert advice prior to making a decision. I show that it is less costly to hire partisan agents than impartial agents, especially under advocacy, and that the decision maker prefers partisan advocacy to other forms of institutions. I also extend the literature, originating with Dewatripont and Tirole ( 1999 ), to a setting with contracts that condition on information provided and not just the decision made.     

How credible is the North Korean threat?

We perform event analysis on particular episodes of tension in the Korean peninsula between 2000 and 2008, and investigate the effect of the events on South Korean financial markets (stock markets, bond yield spreads and the exchange rate) given that South Korea would be the first affected by a military aggression from North Korea. Surprisingly, in nearly all cases, these events, which have often been dramatized in the world media, have no significant impact on either of these variables or only a very small one. We also find no significant impact of events on listed firms that would a priori be likely to suffer from increased tension between the two Koreas. Since financial markets often contain better predictions than expert opinions or surveys, these results strongly suggest that the North Korean threat is non‐credible.     

Roadmapping for prioritisation of smartphone feature requirements based on user experiences

Since the life cycle of smartphones is becoming shorter, users are demanding new and improved smartphone features for updated smartphones, but it is difficult to know which features are the most important to users. In Internet user communities, users increasingly review smartphone functions and share information about their experiences such as complaints, problems, and satisfaction, and these user experiences have been fruitful sources for manufacturers that lead to smartphone improvements. Focusing on these user experiences, this paper proposes a systematic roadmapping process including prioritisation of smartphone feature requirements. By prioritising smartphone feature requirements, new and improved versions of smartphones that reflect user needs can be planned based on a product–market roadmap. The systematic approach consists of three parts: user-driven quality function deployment (QFD), a frequent pattern (FP)-tree algorithm, and a product–market roadmap. First, we collected data extracted from text mining in Internet user communities to construct a user-driven QFD. Second, using user experiences related to smartphone features, we applied the FP-tree algorithm to algorithmically derive a priority list of smartphone feature requirements. Finally, based on the result of the FP-tree of smartphones, we proposed guidelines to construct a product–market roadmap. It is expected that a versioning strategy can be formulated through this prioritised product–market roadmap. Furthermore, covering each step from data collection to roadmapping, this study suggests a systematic process for prioritisation of smartphone feature requirements based on user experiences.     

Promoting Giving Campaigns in University Websites: A Cross-cultural Comparison between the United States and South Korea

ABSTRACT

This study was designed to compare the ways the websites promote giving campaigns between the United States and South Korea. Furthermore, this study explored how the campaign appeals are associated with the distinct cultural values between universities in the United States and Korea. Guided by a content analysis of 200 universities in the United States and South Korea, the findings of this study demonstrated that, compared to the Korean university websites, U.S. university websites more frequently targeted university-affiliated donors, including alumni, students, parents, and so forth, and used multimedia-based exemplars about the giving campaigns.     

Strategies of Korean firms in china's high‐tech market: Striving for a new and sustainable business model

China has become a strategically important market for Korean companies. While cooperating with China is obviously important for their success and survival, a more difficult question lies in finding a new and sustainable business model applicable to China. This paper studies the current challenges and strategies of Korean Small and Medium‐sized Enterprises (SMEs) in the high‐tech market such as the mobile handset and online game industries that are trying to extend their business to China. It focuses on the issue that Korean firms face in order to find a way to survive and integrate with a rising China. By conducting an in‐depth firm level analysis, it examines their successes and failures in terms of what parts of the value chain they specialize in and how they establish a division of labor with China.