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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 資訊管理學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/87849
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dc.contributor.advisor曹承礎zh_TW
dc.contributor.advisorSeng-Cho T. Chouen
dc.contributor.author林冠言zh_TW
dc.contributor.authorGwan-yen Linen
dc.date.accessioned2023-07-24T16:04:51Z-
dc.date.available2023-11-10-
dc.date.copyright2023-07-24-
dc.date.issued2023-
dc.date.submitted2023-06-08-
dc.identifier.citation(1)Aggarwal, Raj. (1981). Exchange rates and stock prices: A study of the US capital markets under floating exchange rates. Akron Business and Economic Review. 12. 7-12.
(2)Caporale, Guglielmo Maria & Howells, Peter & Soliman, Alaa. (2004). Stock Market Development and Economic Growth: The causal linkage. Journal of Economic Development. 29. 33-50.
(3)Cheng, Yin-Wong. (1993). Exchange rate risk premiums. Journal of International Money and Finance. 12. 182-194. 10.1016/0261-5606(93)90023-5.
(4)Chiang, Thomas & Yang, Sheng-Yung. (2003). Foreign exchange risk premiums and time-varying equity market risks. Int. J. Risk Assessment and Management Int. J. Risk Assessment and Management. 4. 310-331. 10.1504/IJRAM.2003.003828.
(5)Fama (1970), Efficient Capital Markets:A Review of Theory and Empirical Work, Journal of Finance, 25: 383-417.
(6)Fama(1981), Stock returns, real activity, inflation and money supply, The American Economic Review, 71(4:45-565.)
(7)Fama (1990). Stock returns, expected returns and real activity, Journal of Finance, 45(4): 1089-1108.
(8)French, Kenneth & Schwert, G.William & Stambaugh, Robert. (1987). Expected Stock Returns and Volatility. Journal of Financial Economics. 19. 3-29. 10.1016/0304-405X(87)90026-2.
(9)Gurley, John & Shaw, E.. (1955). Financial Aspects of Economic Development. American Economic Review. 45. 515-538.
(10)Hunjra, A. ; Muhammad, Chani; Muhammad, Shahzad ; Muhammad, Farooq and Kamran Khan (2014). The Impact of Macroeconomic Variables on Stock Prices in Pakistan.
(11)Luders, Rolf & McKinnon, Ronald. (1974). Money and Capital in Economic Development.. The Journal of Finance. 29. 298. 10.2307/2978253.
(12)Mankiw, N.G.. (1995). The growth of nations. Brookings Papers on Economic Activity. 25. 275-310.
(13)M., & Alhassan, Musah (2014). An Econometric Analysis of the Impact of Macroeconomic Fundamentals on Stock Market Returns in Ghana, Research in Applied Economics, 6(2):47-72.
(14)In Wongbampo, P. and Sharma, S.C. (2002). Stock Market and Macroeconomic Fundamental Dynamic Interactions: ASEAN-5 Countries, Journal of Asian Economics, 13: 27-51.
(15)Issahaku, H., Ustarz, Y., & Domanban, P. B. (2013). Macro-economic Variables and Stock Market Returns in Ghana: Any Causal Link, Asian Economic and Finance Revue, 3(8): 1044-1062.
(16) Joshi, Pooja and Giri, Arun Kumar (2015). Fiscal Deficits and Stock Prices in India: Empirical Evidence, International Journal of Financial Studies. 3: 393-410.
(17)Jorion, Philippe. (1990). The Exchange Rate Exposure of US Multinationals. Journal of Business. 63. 331-345.
(18)Khan, W. A., Javed, M. A., Shahzad, N., Sheikh, Q., Saddique, S., Riaz, M., & Batool, S. (2014). Impact of Macroeconomics variable on the Stock Market index; A Study from Pakistan, International Journal of Accounting and Financial Reporting, 4(2):258.
(19)Maysami, R. C., Howe, L. C., & Hamzah, M. A. (2004). Relationship between macroeconomic variables and stock market indices: Cointegration evidence from stock exchange of Singapore’s All-S sector indices, Journal Pengurusan, 24(1): 47-77.
(20)Mutuku, C., & Ng’eny, K. L. (2015). Macroeconomic Variables and the Kenyan Equity Market: A Time Series Analysis. Business and Economic Research, 5(1): 1-10.
(21)Naik, P. K. (2013). Does Stock Market Respond to Economic Fundamentals? Time-series Analysis from Indian Data, Journal of Applied Economics & Business Research, 3(1).
(22)Ochieng, D. E., & Adhiambo, E. O. (2012). The relationship between macro-economic variables and stock market performance in Kenya, DBA Africa Management Review, 3 (1): 38-49.
(23)Pesaran, M.H.; Shin, Y.; Smith, R.J. Bound (2001). Testing Approaches to the Analysis of level Relationships. Journal of applied Economics, 16: 289–326.
(24)Rahman, A. Abdul, Noor, Z. Mohd Sidek and Fauziah H. T. (2009). Macroeconomic Determinants of Malaysian Stock Market, African Journal of Business Management, 3 (3): 95106.
(25)Rashid, A. (2008). Macroeconomic variables and stock market performance: testing for dynamic linkages with a known structural break. Saving and Development, XXXII.1: 77-102.
(26)Ray, H., & Sarkar, J. (2014). Macroeconomic Link to Indian Capital Market: A Post-Liberalization Evidence. Modern Economy, 5(04): 272.
(27)Revell, J. & Goldsmith, R.. (1970). Financial Structure and Development. The Economic Journal. 80. 365. 10.2307/2230134.
(28)Soenen, L.A. & Hennigar, E.S.. (1988). An analysis of exchange rates and stock prices: The US experience between 1980 and 1986. Akron Business and Economic Review. 19. 7-16.
(29)Subburayan, B., Srinivasan, V. (2014). The Effects of Macroeconomic Variables on CNX Bankex Returns: Evidence from Indian Stock Market. International Journal of Management & Business Studies, 4(2)
(30)Uddin, G., & Alam, M., (2010). The Impacts of Interest Rate on Stock Market: Empirical Evidence from Dhaka Stock Exchange. South Asian Journal of Management Sciences, 4(1): 21-30.
(31)Xiufang Wang (2010). “The Relationship between Stock Market Volatility and Macroeconomic Volatility: Evidence from China” International Research Journal of Finance and Economics, 49.
(32)Zhao, Hua. (2010). Dynamic Relationship between Exchange Rate and Stock Price: Evidence from China. Research in International Business and Finance. 24. 103-112. 10.1016/j.ribaf.2009.09.001.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/87849-
dc.description.abstract過去針對貨幣政策及聯邦基金利率對股價影響的研究很多,對貨幣政策決定因素的研究也不少。然而,針對FedWatch聯準會目標升息幅度機率對股價影響的研究文獻卻沒有。本研究嘗試研究FedWatch聯準會目標升息幅度機率與股價的關係及他們的決定因素。希望藉由本研究的發現提供投資人及政策制定者做更好的決策。

本研究整理FedWatch聯準會目標升息幅度機率計算工具,及目標利率預測機率,並從FedWatch網站下載1/3/2022至12/14/2022 (聯準會開會日期)該預測目標利率機率資料。相對應期間道瓊基金指數及聯邦基金利率資料則由雅虎財金資料庫取得。進一步探討FedWatch聯準會目標升息幅度機率與股價之關係。

本研究顯示股價與聯邦基金利率呈現負相關,該結果與過去相關文獻研究一致。研究中發現FedWatch聯準會目標升息幅度機率與股價之關係為顯著負相關。 亦即FedWatch聯準會目標升息幅度機率對股價有顯著負面影響,該影響隨時間落後變數遞減。此外,聯邦基金利率與FedWatch機率加權平均目標利率落差變數呈現正向遞增關係。然而近期落後變數參數估計值並不顯著,只有遠期落差變數顯著正相關,可能與FedWatch聯準會目標升息幅度機率計算與遠期利率期貨合約有關。

根據研究結論,本研究擬定三種交易策略。模擬結果顯示三種交易策略的累積日報酬均超過大盤。其中又以交易策略三累積日報酬最優且全樣本期間均超越大盤。 最後針對本研究假設,模型及交易策略就不同樣本資料期間進行安定性檢定,其結論並無改變。
zh_TW
dc.description.abstractPrior research on the impact of monetary policy and Fed fund rate changes on stock prices has been fully documented. Some papers discussed the determinants of monetary policy too, but the impact of FedWatch probability of FOMC meeting decision on Fed fund target rate changes has not yet been studied. This paper tries to study the relationships among the FedWatch probabilities on target fund rate, the determinants of Fed fund rate changes, and stock prices, thus providing insight to investors and implications for policymakers.

This thesis reviews FedWatch probabilities calculator tools, and the daily data of the probabilities of fed fund target rate changes, which are generated during the Federal Reserve Meetings and downloaded from the FedWatch website starting from 1/3/2022 to 12/14/2022, the meeting date. Stock indices daily data of Dow Johns Industrial Average and Fed fund rates for the same period are collected from the Yahoo Finance database. The relationships between FedWatch probabilities of fed fund target rate changes in Federal Reserve Meetings and stock prices are investigated.
The results show that the relationship between the stock return and federal fund rates is negative which are consistent with those of the previous researches. We also find that the FedWatch probabilities on Fed target fund rate changes are all significantly inversely related to the stock prices. The impact of the FedWatch probabilities lag variables on the stock prices is negative at diminishing path with distribution lags. The relationships between the effective Fed fund rate and the probability-weighted average of target Fed fund rate changes are positively related. The distribution lag estimates show that FedWatch probability estimates of near-term lags are not significantly related. Only the estimates of distant lags are significantly related to effective fund rates because the lag FedWatch probabilities are calculated from fed fund futures contracts which provide information about future rates. The impact of the FedWatch probabilities lag variables on the effective fund rates is positive, and the significant level increases with the lag periods.

Based on the results, three long/short trading strategies are developed to justify my conclusions and provide investors with better insight for their investments. All the three strategies have higher CDR than the stock market index and the CDR of strategy 3 dominates that of the SMI during the whole sample period, which means strategy 3 always performs better than SMI for the whole sample period.

Robustness tests for new sample period show that the hypotheses test results still hold and the excess returns for trading strategies still exit, which do not subject to the problems of changing parameters over time.
en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-07-24T16:04:51Z
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dc.description.provenanceMade available in DSpace on 2023-07-24T16:04:51Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontentsCONTENTS
APPROVAL i
ACKNOWLEDGEMENT ii
CHINESE ABSTRACT iii
ABSTRACT iv
CONTENT vi
LIST OF FIGURES viii
LIST OF TABLES ix
Chapter 1 Introduction 1
1.1 Background 2
1.2 Objectives 3
Chapter 2 Related Works 8
2.1 FedWatch Tool Assumption 8
2.2 FedWatch Tool ProbabilityCalculator 9
2.3 FedWatch Data & Variables 11
2.4 FedWatch Variable Definition 15
Chapter 3 Methodology 16
Chapter 4 Empirical Results 19
4.1 Regression Results for Equation (1) 19
4.2 SAS PDL Regression Results for Equation (2) 20
4.3 SAS PDL Regression Results for Equation (3) 23
Chapter 5 Trading Strategies and Robustness Tests 27
5.1 Trading strategies on Changes of FedWatch probabilities of Target Fed fund rates 27
5.2 Robustness Test for Changing Period 30
5.2.1 Robustness tests for models subject to Changing Parameters over time 30
5.2.2 Robustness tests for trading strategies subject to changing data over time 41
Chapter 6 Conclusion 43
Reference 44
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dc.language.isoen-
dc.subject交易策略zh_TW
dc.subject股價zh_TW
dc.subject利率變動zh_TW
dc.subjectFedWatch機率zh_TW
dc.subject貨幣政策zh_TW
dc.subject聯邦基金利率zh_TW
dc.subjectMonetary Policyen
dc.subjectFederal Fund Rateen
dc.subjectStock Pricesen
dc.subjectInterest rate changeen
dc.subjectFedWatch Probabilityen
dc.subjectTrading Strategiesen
dc.titleFedWatch聯準會目標升息幅度機率對股價影響之研究zh_TW
dc.titleThe Impacts of FedWatch Probability of FOMC Meeting Target Rate Decisions on Stock Pricesen
dc.typeThesis-
dc.date.schoolyear111-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee陳建錦;林俊叡zh_TW
dc.contributor.oralexamcommitteeChien Chin Chen;June-Ray Linen
dc.subject.keywordFedWatch機率,貨幣政策,利率變動,聯邦基金利率,股價,交易策略,zh_TW
dc.subject.keywordFedWatch Probability,Monetary Policy,Interest rate change,Federal Fund Rate,Stock Prices,Trading Strategies,en
dc.relation.page48-
dc.identifier.doi10.6342/NTU202300956-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2023-06-09-
dc.contributor.author-college管理學院-
dc.contributor.author-dept資訊管理學系-
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