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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66942
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dc.contributor.advisor林修葳(Hsiou-Wei Lin)
dc.contributor.authorChia-Ling Tsaien
dc.contributor.author蔡佳伶zh_TW
dc.date.accessioned2021-06-17T01:15:22Z-
dc.date.available2022-08-24
dc.date.copyright2017-08-24
dc.date.issued2017
dc.date.submitted2017-08-14
dc.identifier.citation[1] Alesina, A., & Rodrik, D., 1994. Distributive Politics and Economic Growth. Quarterly Journal of Economics, 109, 465–490.
[2] Atanassov, J., Julio, B. & Leng, T., 2015. The Bright Side of Political Uncertainty: The Case of R&D. Working paper, University of Nebraska, University of Oregon. and Sun Yat-sen University.
[3] Barth, M., Kasznik, R., & McNichols, M., 1998. Analyst Coverage and Intangible Assets. Journal of Accounting Research, 39, 1–34.
[4] Blomberg, S., & Hess, G., 2001. Is the Political Business Cycle for Real? Journal of Public Economics, 87, 1091-1121.
[5] Fowler, J., 2006. Elections and Markets: The Effect of Partisanship, Policy Risk, and Electoral Margins on the Economy. Journal of Politics, 68, 89-104.
[6] Herron, M.C., Lavin, J., Cram, D., & Silver, J., 1999. Measurement of Political Effects in the United States Economy: A Study of the 1992 Presidential Election. Economics and Politics, 11, 51–81.
[7] Hibbs, D., 1977. Political Parties and Macroeconomic Policy. American Political Science Review, 71, 1467–1487.
[8] Homaifar G, Randolph W.L., Helms B.P., & Haddad M, 1988. American Presidential Elections and Returns of Defense Industry Stocks. Applied Economics, 20, 985-993.
[9] Huang, R., 1985. Common Stock Returns and Presidential Elections. Financial Analysts Journal, 41, 58-65.
[10] Johnson, R.R., Chittenden, W., & Jensen, G., 1999. Presidential Politics, Stocks, Bonds, Bills and Inflation. Journal of Portfolio Management, 26, 27–31.
[11] Kross, W., Ro, B., & Schroeder, D., 1990. Earnings Expectations: The Analysts’ Information Advantage. The Accounting Review, 65, 461–476.
[12] Niederhoffer, V., Gibbs, S., & Bullock, J., 1970. Presidential Elections and the Stock Market. Financial Analysts Journal, 26, 111–113.
[13] Riley, W.B., & Luksetich, W.A., 1980. The Market Prefers Republicans: Myth or Reality. Journal of Financial and Quantitative Analysis, 15, 541–560.
[14] Siegel, J., 1998. Stocks for the Long Run. New York: McGraw-Hill.
[15] Snowberg, E., Wolfers, J., Zitzewitz, E., 2007. Party Influence in Congress and the Economy. Quarterly Journal of Political Science, 2, 277-286.
[16] Barclay, M., & HendershottT, 2003. Price Discovery and Trading After Hours. The Review of Financial Studies, 16, 1041–1073.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66942-
dc.description.abstract本研究檢視證券分析師是否在美國大選選舉日對個股發布盈餘預測修正,藉以反映該股所屬產業之政治敏感度。本文利用美國選舉結果多在深夜時點揭曉之特性,以分析師加時工作反映(1)其對於總統及聯邦議會選舉事件衝擊大小之解讀與 (2) 分析師解析選舉事件衝擊之難度。本研究區分為總統與參議院選舉兩類別討論,測試分析師在選舉年開票時點是否發布較多的盈餘預測修正,及在選舉結果意外或相近之情況下,盈餘預測修正發布數是否有所差異。本文亦將樣本分成政治敏感與不敏感產業,探討分析師對敏感與不敏感產業之發布行為,是否有差異。實證結果顯示,分析師在總統選舉年與議院選舉年,選舉日所作發布數皆較非選舉年多;但在選舉結果意外或相近時,較非意外或相近時少。而在總統選舉結果意外或相近時,分析師較少於該日發布敏感性產業;在參議院選舉民主與共和兩黨當選人數意外或相近時,分析師針對敏感與不敏感產業皆較少發布預測修正。zh_TW
dc.description.abstractThis study investigates earnings forecasts for individual firms issued by security analysts on the U.S. election days, showing whether the industries the firms belonging to are sensitive to politics. The U.S. election results are typically announced at midnight, which serves to demonstrate analyst efforts and concerns over the difficulty in measuring the magnitude and direction of the impacts of Presidential and Senators/Congressmen elections on companies they follow. We use analysts’ working after hours as a proxy to interpret the extent of their perceived election’s effect as well as the time and efforts needed to measure the impacts of elections. We explore President and Senate/Congress elections separately to test if analysts issue more earnings forecasts revisions or not during the time interval immediately after the ballots are announced in the election years and especially when the election results appear to be surprising. Moreover, we partition the sample into politically sensitive industries and politically insensitive ones to investigate the difference between them when the election results surprise the general public. We find that both in Presidential election years and Senate/Congress election years, analysts issue more forecasts revisions than in the other years, but issue fewer revisions in the years when election results are surprising or close. Moreover, when the President elect announcement is unanticipated, analysts issue fewer revisions only for politically sensitive industries. However, when the senate ballots are close between the Republicans and the Democrats, analysts issue fewer ones for both.en
dc.description.provenanceMade available in DSpace on 2021-06-17T01:15:22Z (GMT). No. of bitstreams: 1
ntu-106-R04724001-1.pdf: 1496544 bytes, checksum: ce89af54542c2f4871088ef4ff35e35a (MD5)
Previous issue date: 2017
en
dc.description.tableofcontents口試委員會審定書------------------------------------------------------#
誌謝------------------------------------------------------------------------i
中文摘要------------------------------------------------------------------ii
ABSTRACT--------------------------------------------------------------iii
目錄------------------------------------------------------------------------iv
圖表目錄------------------------------------------------------------------v
第一章 緒論------------------------------------------------------------1
第二章 文獻探討與研究背景---------------------------------------2
2.1 文獻探討------------------------------------------------------2
2.2 研究背景------------------------------------------------------4
第三章 研究假說------------------------------------------------------6
3.1 分析師對於選舉年之行為反應---------------------------6
3.2 分析師對於選舉結果意外或接近年之行為反應----- 6
第四章 研究方法------------------------------------------------------8
4.1 樣本選擇------------------------------------------------------8
4.2 模型與變數---------------------------------------------------9
4.2.1 成對t檢定 (Paired t-test)------------------------------9
4.2.2 OLS迴歸模型(Ordinary Least Squares)-----------10
4.2.3 政治敏感產業-----------------------------------------12
第五章 研究結果-----------------------------------------------------14
5.1 樣本敘述統計量--------------------------------------------14
5.2 成對樣本t檢定----------------------------------------------15
5.3 OLS迴歸模型-----------------------------------------------21
5.3.1 所有產業-----------------------------------------------21
5.3.2 政治敏感與不敏感產業-----------------------------26
第六章 結論-----------------------------------------------------------30
參考文獻-----------------------------------------------------------------31
附錄-----------------------------------------------------------------------33
dc.language.isozh-TW
dc.subject分析師行為zh_TW
dc.subject美國大選zh_TW
dc.subject分析師盈餘預測修正發布數zh_TW
dc.subject政治敏感度zh_TW
dc.subjectAnalyst Coverageen
dc.subjectAnalyst Behavioren
dc.subjectU.S. Electionen
dc.subjectPolitical Sensitivityen
dc.title從證券分析師於選舉日發佈盈餘預測修正行為看產業對美國大選的敏感度zh_TW
dc.titleIndustry Sensitivity to U.S. Elections Reflected by Security Analyst Coverageen
dc.typeThesis
dc.date.schoolyear105-2
dc.description.degree碩士
dc.contributor.oralexamcommittee黃承祖,陳慧玲
dc.subject.keyword分析師行為,美國大選,分析師盈餘預測修正發布數,政治敏感度,zh_TW
dc.subject.keywordAnalyst Behavior,Analyst Coverage,Political Sensitivity,U.S. Election,en
dc.relation.page41
dc.identifier.doi10.6342/NTU201703135
dc.rights.note有償授權
dc.date.accepted2017-08-15
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept國際企業學研究所zh_TW
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