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Trade Agreements and Stock Markets : 무역협정과 주식시장

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dc.contributor.advisor양동휴-
dc.contributor.authorAhn Soyoung-
dc.date.accessioned2017-07-13T17:03:56Z-
dc.date.available2017-07-13T17:03:56Z-
dc.date.issued2016-08-
dc.identifier.other000000137116-
dc.identifier.urihttps://hdl.handle.net/10371/120506-
dc.description학위논문 (박사)-- 서울대학교 대학원 : 경제학부 경제학전공, 2016. 8. 양동휴.-
dc.description.abstractConventionally, trade agreement is an important phenomenon in the international trade environment. Existing studies on the effect of trade agreement are usually analyzed only using trade-related theories and data. However, international trade and financial market are closely related to each other, so the impact on the real market caused by trade agreement brings the long-term and short-term effect on the financial market where the countries are involved. Therefore, in Chapters 2 and 3 of this paper, these issues are addressed in more detail under the subject of 『Trade Agreements and Stock Markets』. Chapter 2 focuses on relatively long-term and ex-post evaluation at national level, while Chapter 3 focuses on very short-term and ex-ante expectation at industries and individual firms level.
In Chapter 2, I examine the comovements of stock markets between United States and eleven partner countries of FTAs. Over the ten FTAs signed by United States, I measure the degree of integration using a DCC GARCH model. As a results, Korea, Mexico, Chile, Colombia, Peru and Singapore show increasing DCC patterns after trade agreements with US. On the other hand, there is little difference in DCCs of Canada, Australia, Bahrain, Jordan and Morocco before and after trade agreements. According to the gravity model, FTAs increase the Bilateral Trade Intensity, Trade Intensity of Final goods and Trade Intensity of Intermediate goods respectively. And the increase of Bilateral Trade Intensity between US and partner country has a positive influence on their stock market correlations. The main interesting finding is the interaction term of FTA Dummy and Bilateral Trade Intensity has a positive significant coefficient. This result represents the mechanism only if the trade intensity between two countries is high or increasing, the signing of FTA increases the stock market comovements. Futhermore, the significance of Trade Intensity variable is disappeared when the interaction term is introduced, which implies the impact of trade intensity on stock market comovements is more substantial after FTA. Importantly, the increase of intermediate goods trade intensity after FTA is a key factor of the further increasing in the stock market comovements. Other macroeconomic variables such as Asymmetry of Real Interest Rate, Output Growth Rate and Market Capitalization have negative effects on the stock market comovements as expected. This chapter enables us to understand not only how stock markets are integrated but also why stock markets are integrated with regard to trade agreements.
In Chapter 3, I examine the reactions of stock markets when the trade agreement related news arrives. I analyze the Korea-United States Free Trade Agreement (KORUS FTA) because this agreement is commercially significant and well suited. Using an event study methodology, I investigate that the FTA news has a significant impact on the stock market prices by industries in Korea and US. This is meaningful in that it is the first attempt to target the KORUS FTA. In conclusion, the investors perception toward the effect of KORUS FTA on Korean industries changed from negative to positive as negotiations proceed. And the stock markets generally have realized positive excess returns on the news which is favorable to the firms' future profits, and vice versa. Events which satisfy the unexpected condition have more abnormal returns significantly. Considering this analysis targets ​​the same day when the news was announced, the result fairly meets the efficiency market hypothesis. Meanwhile, stock markets have a tendency to react to the political or sentimental factors as well as economic factors. In the United States, KORUS FTA related news leads to the positive significant abnormal returns to the US firms from the early stage of the negotiations. Also, investors in US stock market are likely to respond to the FTA news more consistently than those in Korea stock market. Economically important and large industries such as 'Auto & Parts', 'Chemicals' and 'Electrical Equipment' industries react sensitively and have more significant abnormal returns in Korea when FTA news arrives. And winners and losers differ by industries in US and Korea, which implies that the industrial structures of the two countries are quite different. We identify the firms that current export ratio is low or zero show the similar stock price movements with exporting firms to the FTA news by industry. At last, Korea has a comparative advantage in the production of labor intensive goods. In that case, trade liberalization caused by KORUS FTA forces Korea firms to adjust from intensive use of capital to that of labor in the future.
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dc.description.tableofcontentsChapter 1. Introduction 1
Appendix A1. RTA_Numbers during the Period from 1958 to 2015 4
Appendix A2. Market Capitalization during the Period from 1976 to 2015 4
Appendix A3. Turnover Ratio during the Period from 1976 to 2015 5

Chapter 2. Trade Agreements and Stock Market Comovements 6
2.1 Introduction 6
2.2 Related Literature 9
2.3 Methodology and Data 12
2.3.1 The DCC-GARCH model 12
2.3.2 Data and summary 14
2.4 Empirical Results 28
2.4.1 Estimation of DCC-GARCH model 28
2.4.2 Estimating Dynamic conditional correlations (DCCs) 33
2.5 Determinants of DCC 40
2.5.1 Introduction 40
2.5.2 Related literature 41
2.5.3 Data 43
2.5.4 Test methods 48
2.5.5 Empirical results 51
2.6 Conclusion 58
Reference 62
Appendix B1. Subsample Test of Table 2.10 and Table 2.11 67
Appendix B2. Further Analysis Considering Time-invariant Variables 69
Appendix B3. Gravity Model Test 72

Chapter 3. KORUS FTA and Stock Market Reactions 73
3.1 Introduction and Motivation 73
3.2 Related Literature 76
3.3 KORUS FTAand Description of Events 78
3.4 Methodology 82
3.4.1 Measuring abnormal returns by industries and events 82
3.4.2 Assumption 84
3.5 Data 86
3.6 Empirical Results 88
3.6.1 Baseline results : Industry level abnormal returns 88
3.6.2 Further analysis: Considering cross-firm heterogeneity 104
3.7 Conclusion 110
Reference 113
Appendix C1. Sub-industry Analyses of Important Industries in Table 3.3 115
Appendix C2. Abnormal Return Tests by Industry Level (Korea) _ Exporting Firms 126

Chapter 4. Discussion and Conclusion 129

국문 초록 134
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dc.formatapplication/pdf-
dc.format.extent1870632 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectTrade Agreements-
dc.subjectStock Market Comovements-
dc.subjectDCC-GARCH model-
dc.subjectDeterminants of DCC-
dc.subjectTrade Intensity-
dc.subjectKORUS FTA-
dc.subjectStock Market Reactions-
dc.subjectEvent Study-
dc.subjectAbnormal Returns-
dc.subjectEfficiency Market Hypothesis-
dc.subjectComparative Advantage-
dc.subject.ddc330-
dc.titleTrade Agreements and Stock Markets-
dc.title.alternative무역협정과 주식시장-
dc.typeThesis-
dc.contributor.AlternativeAuthor안소영-
dc.description.degreeDoctor-
dc.citation.pages137-
dc.contributor.affiliation사회과학대학 경제학부-
dc.date.awarded2016-08-
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