• Title/Summary/Keyword: Investor Feature

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A WEALTH-DEPENDENT INVESTMENT OPPORTUNITY SET: ITS EFFECT ON OPTIMAL CONSUMPTION AND PORTFOLIO DECISIONS

  • Choi, Sung-Sub;Koo, Hyeng-Keun;Shim, Gyoo-Cheol;Zariphopoulou, Thaleia
    • Proceedings of the Korean Statistical Society Conference
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    • 2003.05a
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    • pp.43-48
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    • 2003
  • We consider a consumption and investment problem where an investor's investment opportunity gets enlarged when she becomes rich enough, i.e., when her wealth touches a critical level. We derive optimal consumption and investment rules assuming that the investor has a time-separable von Neumann-Morgenstern utility function. An interesting feature of optimal rules is that the investor consumes less and takes more risk in risky assets if the investor expects that she will have a better investment opportunity when her wealth reaches a critical level.

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Can a securities law improve investor rationality in processing earnings information?

  • Kwag, Seung Woog
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1557-1567
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    • 2014
  • In this paper, I propose a general hypothesis that after the enactment of the Sarbanes-Oxley Act (SOA) financial statements convey more accurate and reliable corporate information to investors who in turn reflect such improvements in stock prices and test four practical hypotheses that simultaneously feature the degree of information asymmetry, forecast bias, and investor reaction to biased earnings information. The empirical results unanimously suggest that the post-SOA investors take advantage of the improvement in informational efficiency and accuracy and actively adjust for analyst forecast bias in earnings forecasts. The SOA indeed appears to achieve its primary goal of investor protection.

Promoting the Masses' Investment through Crowdfunding Platform: Focusing on Lending based Crowdfunding Platform (크라우드펀딩 플랫폼을 통한 대중적 투자 활성화 방안 연구: 대출형 크라우드펀딩 플랫폼을 중심으로)

  • Lee, Ae Ri;Lee, Sang-Jong;Kim, Kyung Kyu;Kwon, Hyuk-Jun
    • The Journal of the Korea Contents Association
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    • v.16 no.11
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    • pp.644-660
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    • 2016
  • With the development of Fintech industry, research interest in crowdfunding is growing. Crowdfunding, originated from crowdsourcing, involves the participation of many individuals' contributions to funding a new project. Specifically, lending based crowdfunding provides a platform for raising funds in the form of loans by connecting borrowers to funders(investors) via Internet, not through traditional financial institutions. Recently, lending based crowdfunding attracts much attention as a new investment alternative; however, there is a lack of research about lending based crowdfunding. This study aims to examine the factors influencing an investor's participation in lending based crowdfunding by focusing on platform features, investor features, and project features. Based on the findings, this study discusses theoretical and practical implications for promoting the crowd's investments through crowdfunding platforms.

A Case Study on the Utilization of Umbrella Clauses in Investor-State Contract Disputes - Focusing on the Cases of SGS v. Pakistan and SGS v. Philippines - (투자자와 투자유치국간의 계약 분쟁에 있어서 포괄적보호조항의 활용에 관한 사례연구 - the Case of SGS v. Pakistan and SGS v. Philippines 사건을 중심으로)

  • Oh, Won-Suk;Kim, Yong-Il
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.44
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    • pp.239-255
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    • 2009
  • The purpose of this article is to examine the Utilization of Umbrella Clauses in Investor-State Contract Disputes. To accomplish the purpose, this article analyzes the ICSID case of SGS v. Pakistan and SGS v. Philippines. Umbrella clauses have become a regular feature of international investment agreements and have been included to provide additional protection to investors by covering the contractual obligations in investment agreements between host countries and foreign investors. In particular, two recent ICSID decisions, SGS v. Pakistan and SGS v. Philippines, have brought to the forefront the question of whether the umbrella clause applies to obligations arising under otherwise independent investment contracts between the investor and the host State. In focusing on the SGS decisions, this article will give some useful guidelines to Government and Academia under currently prevailing environment of the Free Trade Agreement("FTA") in Korea.

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A Study on the Measures against Risks m International Investment Agreement;Focusing on the Umbrella Clause and MIGA (국제투자계약에 따른 위험대처 방안에 관한 연구;Umbrella Clause와 MIGA를 중심으로)

  • Oh, Won-Suk;Kim, Yong-Il
    • Journal of Arbitration Studies
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    • v.18 no.2
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    • pp.149-171
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    • 2008
  • The purpose of this paper is to examine the Measures against Risks in International Investment Agreement: focusing on Umbrella Clause and MIGA. Umbrella Clauses have become a regular feature of international investment agreements and have been included to provide additional protection to investors by covering the contractual obligations in investment agreements between host countries and foreign investors. The meaning of umbrella clauses is one of the most controversial issues with which international arbitral tribunals have been recently confronted with while adjudicating investment disputes brought before them MIGA issues guarantees against non-commercial risks for investments, such as: currency transfer restrictions, expropriations, war and civil disturbances and breach of contract by host governments, and the case that the investor obtains an arbitration award or judical decision for damages and is unable to enforce it after a specified period. Furthermore, MIGA undertakes a wide range of mediation activities designed to remove obstacles to the flow of foreign direct investment in its developing member countries.

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The Role of stock market management and social media - Analyzing the types of individual investor and topic - (주식시장관리제도와 소셜 미디어의 역할 - 개인 투자자 집단 유형과 토픽 분석 -)

  • Kim, Jung-Su;Lee, Suk-Jun
    • Management & Information Systems Review
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    • v.34 no.5
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    • pp.23-47
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    • 2015
  • In the Korea stock market, individual investors have perceived stock as short arbitrage investment, not long-term investment strategy. In order to reinforce stock market transparency and soundness, it is important to enforce the measures for stock market management. Especially, stock market event caused by financial policy can be given individual investors negative information regarding a stock trading. Thus, it is a need for investigating whether comprehensive review of listing eligibility is influenced on individual investors' responses and stock behaviors in respect of effectiveness. The purpose of this study to examine the relations between such stock market management and transitional aspect of individual investors' trading types and response on the based of pre- and post-event occurrence. Using an dataset of user's text messages on 9 firms posted on the firm-based social media (i.e., Naver, Daum, Paxnet) over the period 2009 to 2014. And we performed text-clustering and topic modeling according to keywords for classifying into investors group and non-investors groups and two types of investors were categorized depending on main topic transition by event windows in Comprehensive review of listing eligibility. The results indicated that a variety of stockholders existed in the stock. And the ratio of non-investors group was on the decrease, on the other hand, the proportion of investors group veer onto the side of pre-pattern after comprehensive review of listing eligibility. A distinctive feature of our study is to explain the influence of stock market management on response changes of individual investors as well as to categorize in accordance with time progression. Implications an suggestions for future research were also discussed.

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Performance Analysis of Trading Strategy using Gradient Boosting Machine Learning and Genetic Algorithm

  • Jang, Phil-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.11
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    • pp.147-155
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    • 2022
  • In this study, we developed a system to dynamically balance a daily stock portfolio and performed trading simulations using gradient boosting and genetic algorithms. We collected various stock market data from stocks listed on the KOSPI and KOSDAQ markets, including investor-specific transaction data. Subsequently, we indexed the data as a preprocessing step, and used feature engineering to modify and generate variables for training. First, we experimentally compared the performance of three popular gradient boosting algorithms in terms of accuracy, precision, recall, and F1-score, including XGBoost, LightGBM, and CatBoost. Based on the results, in a second experiment, we used a LightGBM model trained on the collected data along with genetic algorithms to predict and select stocks with a high daily probability of profit. We also conducted simulations of trading during the period of the testing data to analyze the performance of the proposed approach compared with the KOSPI and KOSDAQ indices in terms of the CAGR (Compound Annual Growth Rate), MDD (Maximum Draw Down), Sharpe ratio, and volatility. The results showed that the proposed strategies outperformed those employed by the Korean stock market in terms of all performance metrics. Moreover, our proposed LightGBM model with a genetic algorithm exhibited competitive performance in predicting stock price movements.

A Study on Industries's Leading at the Stock Market in Korea - Gradual Diffusion of Information and Cross-Asset Return Predictability- (산업의 주식시장 선행성에 관한 실증분석 - 자산간 수익률 예측 가능성 -)

  • Kim Jong-Kwon
    • Proceedings of the Safety Management and Science Conference
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    • 2004.11a
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    • pp.355-380
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    • 2004
  • I test the hypothesis that the gradual diffusion of information across asset markets leads to cross-asset return predictability in Korea. Using thirty-six industry portfolios and the broad market index as our test assets, I establish several key results. First, a number of industries such as semiconductor, electronics, metal, and petroleum lead the stock market by up to one month. In contrast, the market, which is widely followed, only leads a few industries. Importantly, an industry's ability to lead the market is correlated with its propensity to forecast various indicators of economic activity such as industrial production growth. Consistent with our hypothesis, these findings indicate that the market reacts with a delay to information in industry returns about its fundamentals because information diffuses only gradually across asset markets. Traditional theories of asset pricing assume that investors have unlimited information-processing capacity. However, this assumption does not hold for many traders, even the most sophisticated ones. Many economists recognize that investors are better characterized as being only boundedly rational(see Shiller(2000), Sims(2201)). Even from casual observation, few traders can pay attention to all sources of information much less understand their impact on the prices of assets that they trade. Indeed, a large literature in psychology documents the extent to which even attention is a precious cognitive resource(see, eg., Kahneman(1973), Nisbett and Ross(1980), Fiske and Taylor(1991)). A number of papers have explored the implications of limited information- processing capacity for asset prices. I will review this literature in Section II. For instance, Merton(1987) develops a static model of multiple stocks in which investors only have information about a limited number of stocks and only trade those that they have information about. Related models of limited market participation include brennan(1975) and Allen and Gale(1994). As a result, stocks that are less recognized by investors have a smaller investor base(neglected stocks) and trade at a greater discount because of limited risk sharing. More recently, Hong and Stein(1999) develop a dynamic model of a single asset in which information gradually diffuses across the investment public and investors are unable to perform the rational expectations trick of extracting information from prices. Hong and Stein(1999). My hypothesis is that the gradual diffusion of information across asset markets leads to cross-asset return predictability. This hypothesis relies on two key assumptions. The first is that valuable information that originates in one asset reaches investors in other markets only with a lag, i.e. news travels slowly across markets. The second assumption is that because of limited information-processing capacity, many (though not necessarily all) investors may not pay attention or be able to extract the information from the asset prices of markets that they do not participate in. These two assumptions taken together leads to cross-asset return predictability. My hypothesis would appear to be a very plausible one for a few reasons. To begin with, as pointed out by Merton(1987) and the subsequent literature on segmented markets and limited market participation, few investors trade all assets. Put another way, limited participation is a pervasive feature of financial markets. Indeed, even among equity money managers, there is specialization along industries such as sector or market timing funds. Some reasons for this limited market participation include tax, regulatory or liquidity constraints. More plausibly, investors have to specialize because they have their hands full trying to understand the markets that they do participate in

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