Responsive image
博碩士論文 etd-0521115-232046 詳細資訊
Title page for etd-0521115-232046
論文名稱
Title
不同的貨幣政策下投資人關注度對金融市場之反應
The effect of investor attention on the financial market reaction in different monetary policy
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
43
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2015-05-15
繳交日期
Date of Submission
2015-06-23
關鍵字
Keywords
金融海嘯、量化寬鬆、門檻模型、貨幣政策、投資人關注度
investor attention, financial crisis, quantitative easing, threshold model, monetary policy
統計
Statistics
本論文已被瀏覽 5751 次,被下載 39
The thesis/dissertation has been browsed 5751 times, has been downloaded 39 times.
中文摘要
本研究採用門檻模型來探討S&P 500、債券、黃金與網路搜尋行為,在美國Fed升息期間、降息期間以及QE期間是否存在非線性關係,Kontonikas, MacDonald, and Saggu (2013)指出當貨幣政策改變時,將會改變投資人對於未來經濟情況的預期,因此我們認為投資人會對資產價格產生正向或是負向的價格壓力取決於他們對於未來經濟情況的預期。
本文實證結果得到以下結論:(1)當Fed剛開始升息時,S&P 500與網路搜尋行為之間並無顯著關係,而當升息到達一定門檻時兩者呈現出反向關係;(2)在Fed降息時,門檻前與門檻後皆呈現出不顯著的關係,但當降息到一定門檻時,黃金網路搜尋行為與黃金報酬率呈現正向的變動關係,債券網路搜尋行為與債券殖利率呈現反向關係,代表著在經濟不穩定的後期,市場上投資人確實會把資金轉向相對安全的市場避險;(3)在Fed剛開始推行QE時,大把的鈔票流入市場中,使得S&P 500與網路搜尋行為呈現出正向關係,而當推行到一定門檻時,兩者則又回歸不顯著。且因為QE在近期的持續加碼,使得投資人也開始投資於黃金市場以對抗未來通貨膨脹可能帶來的影響,意味著資產價格的變化會受到投資人對於未來經濟條件的預期。
本研究結果顯示出股價指數、債券殖利率、黃金報酬率與網路搜尋行為之間確實呈現出非線性的關係,此結果可供散戶投資人在進行投資管理的重要依據。
Abstract
By using threshold model, we examine the non-linear effect of web search activities on assets including S&P 500, bond, and gold during these three periods, raising interest rate period, cutting interest rate period and QE policies period.
According to Kontonikas et al. (2013), investor will adjust their expectation of future economy when monetary policy change, so we think that investors could create either a positive or negative price pressure, depending on the investor concern with future economic conditions.
The result indicated that when the Federal Reserve began to raise interest rate, there didn’t exist any relationship between web search activity and S&P 500 index. After interest rate climbed climb above a certain threshold, the relationship between web search activity and S&P 500 index returns would be negative.
During the cutting interest rate period, web search activities didn’t have significantly impact on S&P 500 index. However, after interest rate climbed above a certain threshold, we can find that investors increased their demand for safe-haven assets.
When Federal Reserve began to carry out QE policies, web search activities can indeed boost S&P 500 return, but the relationship will be weaker after interest rate climbed climb above a certain threshold. On the other hand, investor will expect that the inflation would be higher due to consequence of QE policies. Therefore, they will invest into gold market to resist higher inflation.
This study finds that there exists non-linear effect between web search activities and assets including S&P 500 index, bond, and gold. It can provide investment strategies for stock investors.
目次 Table of Contents
[學位審定書 i]
[摘要 ii]
[Abstract iii]
[第一章緒論 1]
[1.1研究動機與簡介 1]
[1.2 研究目的 3]
[第二章文獻回顧 5]
[2.1 投資人關注度 5]
[2.2投資人在不同市場狀態下對於股票的影響 6]
[第三章資料與研究方法 10]
[3.1資料期間 10]
[3.2 變數定義 10]
[3.2.1 Search volume index (投資人關注度) 10]
[3.2.2未預期利率變化 11]
[3.2.3 報酬率 11]
[3.3研究方法 12]
[3.3.1 單根檢定 12]
[3.3.2 線性迴歸模型 12]
[3.3.3 門檻迴歸模型 13]
[第四章實證結果 16]
[4.1敘述性統計 16]
[4.2 相關係數 17]
[4.3 單根檢定 19]
[4.4線性迴歸模型 19]
[4.5 門檻迴歸模型 24]
[第五章結論 30]
[參考文獻 32]
參考文獻 References
Abdullah, D. A., and Hayworth, S. C. (1993). Macroeconometrics of Stock Price Fluctuations. Quarterly Journal of Business and Economics, 50-67.
Akerlof, G. A. (1970). The Market for" Lemons": Quality Uncertainty and the Market Mechanism. The quarterly journal of economics, 488-500.
Allen, B. (1990). Information as an Economic Commodity. The American Economic Review, 268-273.
Apergis, N., and Eleftheriou, S. (2002). Interest Rates, Inflation, and Stock Prices: The Case of the Athens Stock Exchange. Journal of Policy Modeling, 24(3), 231-236.
Baker, M., and Wurgler, J. (2007). Investor Sentiment in the Stock Market: National Bureau of Economic Research Cambridge, Mass., USA.
Barber, B. M., and Odean, T. (2008). All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors. Review of Financial Studies, 21(2), 785-818.
Baur, D. G., and Lucey, B. M. (2010). Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold. Financial Review, 45(2), 217-229.
Beckmann, J., and Czudaj, R. (2013). Gold as an Inflation Hedge in a Time-Varying Coefficient Framework. The North American Journal of Economics and Finance, 24, 208-222.
Bernanke, B. S., and Kuttner, K. N. (2005). What Explains the Stock Market's Reaction to Federal Reserve Policy? The Journal of Finance, 60(3), 1221-1257.
Booth, J. R., and Officer, D. T. (1985). Expectations, Interest Rates, and Commercial Bank Stocks. Journal of Financial Research, 8(1), 51-58.
Chuliá, H., Martens, M., and van Dijk, D. (2010). Asymmetric Effects of Federal Funds Target Rate Changes on S&P100 Stock Returns, Volatilities and Correlations. Journal of Banking & Finance, 34(4), 834-839.
Chung, S.-L., Hung, C.-H., and Yeh, C.-Y. (2012). When Does Investor Sentiment Predict Stock Returns? Journal of Empirical Finance, 19(2), 217-240.
Da, Z., Engelberg, J., and Gao, P. (2011). In Search of Attention. The Journal of Finance, 66(5), 1461-1499.
Da, Z., Engelberg, J., and Gao, P. (2015). The Sum of All Fears Investor Sentiment and Asset Prices. Review of Financial Studies, 28(1), 1-32.
Dickey, D. A., and Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica: Journal of the Econometric Society, 1057-1072.
Ding, R., and Hou, W. (2014). Retail Investor Attention and Stock Liquidity. Available at SSRN 1786762.
Domian, D. L., Gilster, J. E., and Louton, D. A. (1996). Expected Inflation, Interest Rates, and Stock Returns. Financial Review, 31(4), 809-830.
Dzielinski, M. (2012). Measuring Economic Uncertainty and Its Impact on the Stock Market. Finance Research Letters, 9(3), 167-175.
Elyasiani, E., and Mansur, I. (1998). Sensitivity of the Bank Stock Returns Distribution to Changes in the Level and Volatility of Interest Rate: A Garch-M Model. Journal of Banking & Finance, 22(5), 535-563.
Fama, E. F. (1981). Stock Returns, Real Activity, Inflation, and Money. The American Economic Review, 545-565.
Fama, E. F., Fisher, L., Jensen, M. C., and Roll, R. (1969). The Adjustment of Stock Prices to New Information. International economic review, 10(1), 1-21.
Flannery, M. J., and James, C. M. (1984). The Effect of Interest Rate Changes on the Common Stock Returns of Financial Institutions. The Journal of Finance, 39(4), 1141-1153.
French, K. R., and Roll, R. (1986). Stock Return Variances: The Arrival of Information and the Reaction of Traders. Journal of financial economics, 17(1), 5-26.
Gambacorta, L., Hofmann, B., and Peersman, G. (2014). The Effectiveness of Unconventional Monetary Policy at the Zero Lower Bound: A Cross‐Country Analysis. Journal of Money, Credit and Banking, 46(4), 615-642.
Garcia, D. (2013). Sentiment During Recessions. The Journal of Finance, 68(3), 1267-1300.
Grossman, S. J., and Stiglitz, J. E. (1980). On the Impossibility of Informationally Efficient Markets. The American Economic Review, 393-408.
Hansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603.
Hsing, Y. (2004). Impacts of Fiscal Policy, Monetary Policy, and Exchange Rate Policy on Real Gdp in Brazil: A Var Model. Brazilian Electronic Journal of Economics, 6(1).
Huang, T.-L., Chen, M.-L., Kuo, H.-J., and Lai, K.-L. Information Demand Revealed by Google Search Engine and Speculative Trading Activities in the Capital Market.
Joseph, K., Wintoki, M. B., and Zhang, Z. (2011). Forecasting Abnormal Stock Returns and Trading Volume Using Investor Sentiment: Evidence from Online Search. International Journal of Forecasting, 27(4), 1116-1127.
Joy, M. (2011). Gold and the Us Dollar: Hedge or Haven? Finance Research Letters, 8(3), 120-131.
Kasman, S., Vardar, G., and Tunç, G. (2011). The Impact of Interest Rate and Exchange Rate Volatility on Banks' Stock Returns and Volatility: Evidence from Turkey. Economic Modelling, 28(3), 1328-1334.
Kihlstrom, R. (1974). A General Theory of Demand for Information About Product Quality. Journal of Economic Theory, 8(4), 413-439.
Kolluri, B. R. (1981). Gold as a Hedge against Inflation-an Empirical-Investigation. Quarterly Review of Economics and Business, 21(4), 13-24.
Kontonikas, A., MacDonald, R., and Saggu, A. (2013). Stock Market Reaction to Fed Funds Rate Surprises: State Dependence and the Financial Crisis. Journal of Banking & Finance, 37(11), 4025-4037.
Kurov, A. (2010). Investor Sentiment and the Stock Market’s Reaction to Monetary Policy. Journal of Banking & Finance, 34(1), 139-149.
Lai, M.-M., Tan, S.-H., and Chong, L.-L. (2013). The Behavior of Institutional and Retail Investors in Bursa Malaysia During the Bulls and Bears. Journal of Behavioral Finance, 14(2), 104-115.
Madsen, J., and Niessner, M. (2014). Is Investor Attention for Sale? The Role of Advertising in Financial Markets. The Role of Advertising in Financial Markets (November 18, 2014).
Mondria, J., Wu, T., and Zhang, Y. (2010). The Determinants of International Investment and Attention Allocation: Using Internet Search Query Data. Journal of International Economics, 82(1), 85-95.
Nikos, K. (2006). Commodity Prices and the Influence of the Us Dollar. World Gold Council, 1, 1-12.
Schwert, G. W. (1987). Effects of Model Specification on Tests for Unit Roots in Macroeconomic Data. Journal of Monetary Economics, 20(1), 73-103.
Swanson, E. T., Reichlin, L., and Wright, J. H. (2011). Let's Twist Again: A High-Frequency Event-Study Analysis of Operation Twist and Its Implications for Qe2 [with Comments and Discussion]. Brookings Papers on Economic Activity, 151-207.
Titman, S., and Warga, A. (1989). Stock Returns as Predictors of Interest Rates and Inflation. Journal of Financial and Quantitative Analysis, 24(01), 47-58.
Tong, H. (1978). On a Threshold Model in Pattern Recognition and Signal Processing,(Ed) C. Chen. Sijhoff and Noonhoff, Amsterdam.
Uddin, M. G. S., and Alam, M. M. (2007). The Impacts of Interest Rate on Stock Market: Empirical Evidence from Dhaka Stock Exchange. South Asian Journal of Management and Sciences, 1(2), 123-132.
Ugai, H. (2007). Effects of the Quantitative Easing Policy: A Survey of Empirical Analyses. Monetary and Economic Studies-Bank of Japan, 25(1), 1.
Vlastakis, N., and Markellos, R. N. (2012). Information Demand and Stock Market Volatility. Journal of Banking & Finance, 36(6), 1808-1821.
Vosen, S., and Schmidt, T. (2012). A Monthly Consumption Indicator for Germany Based on Internet Search Query Data. Applied Economics Letters, 19(7), 683-687.
Vozlyublennaia, N. (2014). Investor Attention, Index Performance, and Return Predictability. Journal of Banking & Finance, 41, 17-35.
Watzka, S., and Schenkelberg, H. (2011). Real Effects of Quantitative Easing at the Zero-Lower Bound: Structural Var-Based Evidence from Japan.
Zordan, D. J. (2005). Stock Prices, Interest Rates, Investment Survival. Econometrica USA.
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code