Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 國際企業學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66632
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳思寬(Shi-Kuan Chen)
dc.contributor.authorChih-Chung Chienen
dc.contributor.author簡智崇zh_TW
dc.date.accessioned2021-06-17T00:47:36Z-
dc.date.available2015-01-17
dc.date.copyright2012-01-17
dc.date.issued2012
dc.date.submitted2011-12-22
dc.identifier.citationReferences in Chapter 2

Amihud, Y., 2002. Illiquidity and stock returns: Cross-section and time-series effects. Journal of Financial Markets 5, 31-56.
Bacchetta, P., van Wincoop, E., 2006. Can information heterogeneity explain the exchange rate determination puzzle? American Economic Review 96, 552-576.
Barker, W., 2007. The global foreign exchange market: Growth and transformation. Bank of Canada Review, Autumn, 3-12.
Cerrato, M., Sarantis N., Saunders, A., 2011. An investigation of customer order flow in the foreign exchange market. Journal of Banking and Finance 35, 1892-1906.
Chan, K., Fong, W.M., 2000. Trade size, order imbalance, and the volatility-volume relation. Journal of Financial Economics 57, 247-273.
Chordia, T., Roll, R., Subrahmanyam, A., 2008. Liquidity and market efficiency. Journal of Financial Economics 87, 249-268.
Easley, D., Kiefer, N.M., O’Hara, M., Paperman, J.B., 1996. Liquidity, information, and infrequently traded stocks. Journal of Finance 51, 1405-1436.
Evans, M.D.D., Lyons, R.K., 2002. Order flow and exchange rate dynamics. Journal of Political Economy 110, 170-180.
Evans, M.D.D., Lyons, R.K., 2008. How is macro news transmitted to exchange rates? Journal of Financial Economics 88, 26-50.
Evans, M.D.D., 2011. The microstructure of currency markets. In: Caprio, G. (Eds.), The Encyclopedia of Financial Globalization, Elsevier: Amsterdam.
Glosten, L., Milgrom, P., 1985. Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of Financial Economics 14, 71-100.
Glosten, L., 1987. Components of the bid-ask spread and the statistical properties of transaction prices. Journal of Finance 42, 1293-1307.
Grossman, S.J., Miller, M.H., 1988. Liquidity and market structure. Journal of Finance 43, 617-637.
Gwilym, O., Meng, L., 2010. Size clustering in the FTSE 100 index futures market. Journal of Futures Markets 30, 432-443.
Hasbrouck, J., 1993. Assessing the quality of a security market: A new approach to transaction cost measurement. Review of Financial Studies 6, 191-212.
Hasbrouck, J., Seppi D., 2001. Common factors in prices, order flows, and liquidity. Journal of Financial Economics 59, 383-411.
Huang, R.D., Stoll, H.R., 1997. The components of the bid-ask spread: A general approach. Review of Financial Studies 10, 995-1034.
Lin, J.C., Sanger, G., Booth, G.G., 1995. Trade size and components of the bid-ask spread. Review of Financial Studies 8, 1153-1183.
Lyons, R.K., 2006. The Microstructure Approach to Exchange Rates. MIT Press, Cambridge.
Kaul A., Sapp, S., 2009. Trading activity, dealer concentration and foreign exchange market quality. Journal of Banking and Finance 33, 2122-2131.
Moulton, P.C., 2005. You can’t always get what you want: Trade-size clustering and quantity choice in liquidity. Journal of Financial Economics 78, 89-119.
O’Hara, M., 2003. Presidential address: Liquidity and price discovery. Journal of Finance 63, 1335-1354.
Osler, C., 2009. Foreign exchange microstructure: A survey of the empirical literature. In: Meyers, R.A. (Eds.), Encyclopedia of Complexity and System Science, Springer: New York.
Pastor, L., Stambaugh, R.F., 2003. Liquidity risk and expected stock returns. Journal of Political Economy 111, 642-685.
Roll, R., 1984. A simple implicit measure of the effective bid-ask spread in an efficient market. Journal of Finance 39, 1127-1139.
Sager, M., Taylor, M., 2008. Commercially available order flow data and exchange rate movements: Caveat emptor. Journal of Money, Credit and Banking 40, 583-625.
Stoll, H.R., 1989. Inferring the components of the bid-ask spread: Theory and empirical tests. Journal of Finance 44, 115-134.
References in Chapter 3
Alexander, G. and Peterson, M., 2007. An analysis of trade size clustering and its relationship to stealth trading. Journal of Financial Economics 84, 435-471.
Andrews, D.W.K., 1991. Heteroskedasticity and autocorrelation consistent covariance matrix estimation. Econometrica 59, 817-858.
Bessembinder, H., Panayides, M. and Venkataraman, K., 2009. Hidden liquidity: An analysis of order exposure strategies in electronic stock markets. Journal of Financial Economics 94, 361-383.
Barker, W., 2007. The global foreign exchange market: Growth and transformation. Bank of Canada Review 7, 4-13.
Cerrato, M., Sarantis, N. and Saunders, A., 2011. An investigation of customer order flow in the foreign exchange market. Journal of Banking and Finance 35, 1892-1906.
Chakravarty, S., 2001. Stealth trading: Which traders’ trades move stock prices? Journal of Financial Economics 61, 589-607.
Chakravarty, S. and Sarkar, A., 2002. A model of broker’s trading, with application to order flow internalization. Review of Financial Economics 11, 19-36.
Chan, K.S., 1993. Consistency and limiting distribution of the least squares estimates of a threshold autoregressive model. The Annals of Statistics 21, 520-533.
Easley, D. and O’Hara, M., 2010. Liquidity and valuation in an uncertain world. Journal of Financial Economics 97, 1-11.
Evans, M.D.D. and Lyons, R.K., 2002. Order flow and exchange rate dynamics. Journal of Political Economy 110, 170-180.
Evans, M.D.D. and Lyons, R.K., 2008. How is macro news transmitted to exchange rates? Journal of Financial Economics 88, 26-50.
Grossman, S.J. and Miller, M.H., 1988. Liquidity and market structure. Journal of Finance 43, 617-637.
Grossman, S.J., Miller, M.H., Cone, K., Fischel, D. and Ross, D., 1997. Clustering and competition in asset markets. Journal of Law and Economics 40, 23-60.
Grundy, B. and McNichols, M., 1989. Trade and revelation of information through prices and direct disclosure. Review of Financial Studies 2, 495-526.
Gwilym, O., Clare, A. and Thomas, S., 1998. Extreme price clustering in the London equity index futures and options markets. Journal of Banking and Finance 22, 1193-1206.
Gwilym, O. and Alibo, E., 2003. Decreased price clustering in FTSE 100 futures contracts following a transfer from floor to electronic trading. Journal of Futures Markets 23, 647-659.
Gwilym, O. and Meng, L., 2010. Size clustering in the FTSE 100 index futures market. Journal of Futures Markets 30, 432-443.
Harris, L., 1991. Stock price clustering and discreteness. Review of Financial Studies 4, 389-415.
Harris, L., 1996. Does a minimum price variation encourage order exposure? Unpublished working paper, University of Southern California, Los Angeles.
Hasbrouck, J., 1995. One security, many markets: Determining the contributions to price discovery. Journal of Finance 50, 1175-1199.
Hodrick, L.S. and Moulton, P.C., 2005. Liquidity. Unpublished working paper, Columbia University.
Kim, O. and Verrecchia, R., 1991. Market reactions to anticipated announcements. Journal of Financial Economics 30, 273-310.
Lee, J. and Strazicich, M.C., 2003. Minimum Lagrange multiplier unit root test with two structural breaks. Review of Economics and Statistics 85, 1082-1089.
Lee, J. and Strazicich, M.C., 2004. Minimum LM unit root test with one structural break. Manuscript, Department of Economics, Appalachian State University.
Lyons, R.K., 2001. A review of transactions data sets. The Microstructure Approach to Exchange Rates. MIT Press.
Mola, S. and Loughran, T., 2004. Discounting and clustering in seasoned equity offering prices. Journal of Financial and Quantitative Analysis 39, 1-23.
Moinas, S., 2006. Hidden limit orders and liquidity in limit order markets. Unpublished working paper, Toulouse Business School, Toulouse, France.
Moulton, P.C., 2005. You can't always get what you want: Trade-size clustering and quantity choice in liquidity. Journal of Financial Economics 78, 89-119.
Osler, C., 2009. Foreign exchange microstructure: A survey of the empirical literature. In: Meyers, R.A. (Eds.), Encyclopedia of Complexity and System Science, Springer: New York.
Perron, P., 1989. The great crash, the oil price shock, and the unit root hypothesis. Econometrica 57, 1361-1401.
Perron, P., 2006. Dealing with structural breaks. Handbook of Econometrics (1): Econometric Theory.
Sager, M. and Taylor, M., 2008. Commercially available order flow data and exchange rate movements: Caveat empto. Journal of Money, Credit and Banking 40, 583-625.
Schmidt, P. and Phillips, B., 1992. LM tests for a unit root in the presence of deterministic trends. Oxford Bulletin of Economics and Statistics 54, 257-280.
Sopranzetti, B.J. and Datar, V., 2002. Price clustering in foreign exchange spot markets. Journal of Financial Markets 5, 411-417.
Yeoman, J.C., 2001. The optimal spread and offering price for underwritten securities. Journal of Financial Economics 62, 169-198.
References in Chapter 4
Andrews, D. W. K., 1991. Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation. Econometrica 59 (3), 817-858.
Backus, D., Foresi, S., Telmer, C. I., 2001. Affine Term Structure Models and the Forward Premium Anomaly. Journal of Finance 56 (1), 279-304.
Backus, D., Kehoe P. J., Kydland, F. E., 1992. International Real Business Cycles. Journal of Political Economy 100 (4), 745-775.
Backus, D., Smith, G., 1993. Consumption and Real Exchange Rates in Dynamic Economies with Non-traded Goods. Journal of International Economics 35 (3)-(4), 297-316.
Bansal, R., 1997. An Exploration of the Forward Premium Anomaly in Currency Markets. Review of Financial Studies 10, 369-403.
Bekaert, G., 1996. The Time-Variation of Risk and Return in Foreign Exchange Markets: A General Equilibrium Perspective. Review of Financial Studies 9 (2), 427-470.
Burnside, C., Eichenbaum, M., Rebelo, S., 2008. Can Peso Problems Explain the Returns to the Carry Trade? NBER Working Paper No. 14054.
Campbell, J. Y., 2003. Consumption-Based Asset Pricing. Handbook of the Economics of Finance, Edited by G. M. Constantinides, M. Harris and R. Stulz.
Campbell, J. Y., Yogo, M., 2006. Efficient Tests of Stock Return Predict¬ability. Journal of Financial Economics 81 (1), 27-60.
Campbell, J. Y., Yogo, M., 2005. Implementing the Econometric Methods in Efficient Tests of Stock Return Predictability. Unpublished Working Paper, University of Pennsylvania.
Clarida, R., Davis, J., Pedersen, N., 2009. Currency Carry Trade Regimes: Beyond the Fama Regression. Journal of International Money and Finance 28 (8), 1375-1389.
Cochrane, J. H., 2005. Asset Pricing. Revised Edition, Princeton University Press, Princeton, New Jersey.
DeSantis, R. A., Fornari, F., 2008. Dose Business Cycle Risk Account for Systematic Returns from Currency Positioning? The International Perspective. European Central Bank.
Engle, C., 1996. The Forward Discount Anomaly and the Risk Premium: A Survey of Recent Evidence. Journal of Empirical Finance 3 (2), 123-192.
Fama, E. E., MacBeth, J. D., 1973. Risk Return and Equilibrium: Empirical Tests. Journal of Financial Political Economy 81 (3), 607-636.
Fama, E. E., 1984. Forward and Spot Exchange Rates. Journal of Monetary Economics 14 (3), 319-338.
Hollifield, B., Yaron, A., 2003. The Exchange Risk Premium: Real and Nominal Factors. Unpublished Working Paper, University of Pennsylvania.
Lustig, H., Verdelhan, A., 2007. The Cross Section of Foreign Currency Risk Premia and Consumption Growth Risk. American Economics Review 97 (1), 89-117.
Lustig, H., Roussanov, N., Verdelhan, A., 2008. Common Risk Factors in Currenncy Markets. NBER Working Paper No. 14082.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66632-
dc.description.abstract本論文研究的目的是利用市場微結構以及總體經濟理論來探討匯率的決定因子。本論文以三篇子研究來驗證(1)委託單流量以及流動性因子之整合模型在每日匯率變動中所扮演的角色,(2)跨國的消費成長差異在拋補的利率平價模型中是否能解釋每週匯率的變動。
第二章,我們著重在為何委託單流量模型應該加入流動性因子的原因。我們建立一個整合的模型去討論不同交易密度之外匯市場中,委託單流量以及實現的買賣價差如何影響匯率的變動。最後以一般化的動差模型來驗證該實證結果的穩固性以及一致性。我們的實證結果顯示委託單流量以及買賣價差在決定每日匯率變動上同時扮演重要的角色。有鑑於此,我們主張除了某些交易密度很高的貨幣外,委託單流量模型最好能考慮這些流動性因子在外匯市場微結構的影響性。
第三章,我們討論委託單流量在不同的訊息異質性與流動性下,對三種主要貨幣傳送訊息的能力。我們根據價格叢集性與交易量叢集性將樣本觀察值分成3×3的實驗設計矩陣來分析委託單流量傳送訊息的能力。該研究特別之處是我們分別以價格叢集性與交易量叢集性測度來代表不完美外匯市場的訊息異質性與流動性。我們發現市場參與者偏好在高訊息異質性以及與流動性時進行交易,這可能是因為市場參與者想要對其他交易者隱藏交易訊息並且為了避免交易的不確定性而對流動性有較高的需求。
第四章,我們探討當外匯市場出現未解的遠期溢酬現象時,拋補的利率平價模型對遠期匯率變動的估計會出現不合理的結果。此時,跨國間的消費成長差異是否具有改善利率平價模型估計偏誤的功能?實證結果指出我們的模型能夠降低利率平價模型對外匯遠期溢酬估計偏誤的情況。
zh_TW
dc.description.abstractThe purpose of this dissertation is to investigate the determinant of the foreign exchange rate according to the microstructure and macroeconomic theory. In particular, this dissertation proposes three essays in order to (1) investigate what roles of the order flow and liquidity factors play on the dynamics in the daily foreign exchange rates by estimating the unified model, (2) examine whether the consumption growth differential across the countries with the covered interest rate parity model can explain the change in the weekly foreign exchange rates.
In Chapter 2, we aim to demonstrate why liquidity factors should be involved in the daily order flow model. We develop a unified model to show explicitly how the order flow and realized bid-ask spread affect the foreign exchange rate when trading density is different. Toward this end, robust estimation of the generalized method of moments is proposed. The proposed model is designed to reexamine the consistent estimates of our unified model with the order flow and the bid-ask spread. Empirically, our results provide consistent evidence that both order flow and liquidity factors play important roles in the determinant of the daily foreign exchange rate. Our findings suggest that the order flow model is better at incorporating these microstructure effects except for some currencies with a very high level of trading density.
In Chapter 3, we discuss the ability of the information transmission of the order flow for major three currency pairs with the distinct heterogeneous information and liquidity. Our proposed model is designed to analyze the explanatory power of the order flow by using the price clustering and trade-size clustering measures to divide the total observations into the 3 by 3 matrix. In particular, heterogeneous information and liquidity are estimated by introducing measures under the setting of the price clustering and trade-size clustering in the imperfect foreign exchange rate markets. We find that traders prefer to trade when foreign exchange market is in the high heterogeneous information and the high liquidity. This result can be explained by the hidden information to reveal less information to other traders and the demand of liquidity to avoid the execution uncertainty.
In Chapter 4, we investigate whether the consumption growth differential is involve in the covered interest rate parity when there is an invalid estimate of the interest rate differential caused by the forward premium puzzle. Empirically, we show that our proposed model is able to reduce the estimating bias caused by the forward premium puzzle.
en
dc.description.provenanceMade available in DSpace on 2021-06-17T00:47:36Z (GMT). No. of bitstreams: 1
ntu-101-D92724015-1.pdf: 877556 bytes, checksum: 24d162f56d6b988ee01084362699ca42 (MD5)
Previous issue date: 2012
en
dc.description.tableofcontents中文摘要 I
Abstract III
Contents V
1. Introduction 1
2. Order flow, bid-ask spread and trading density in
foreign exchange markets 5
2.1. Introduction 5
2.2. Methodology 10
2.2.1. Total price change in efficient markets 10
2.2.2. Price changes due to the bid-ask spread 11
2.2.3. Serial covariance of price change due to the
spread 14
2.3. Data description and empirical procedures 16
2.3.1. The extended order flow model 21
2.3.2. Volatility of the foreign exchange rate 22
2.4. Empirical results of liquidity and order flow
effect 24
2.5. Conclusions 29
Appendix 2.A. Derivation of serial covariance of transaction price changes 30
Appendix 2.B. Details of the daily interest rate 30
Appendix 2.C. Robustness checks of the GMM model 31
References 33
Table 2.1 Summary statistics of daily currency returns,
order flows, and the changes in bid-ask
spreads 35
Table 2.2 Estimates of daily model for high trading
density currencies 36
Table 2.3 Estimates of daily model for low trading
density currencies 37
Table 2.4 GMM estimates of daily high trading density
currencies 38
Table 2.5 GMM estimates of daily low trading density
currencies 39
Table 2.A Derivation of serial covariance of transaction
price changes 41
Table 2.B List of interest rates corresponding to each
currency 41
Table 2.C.1 Tests for GMM estimates of daily high trading
density currencies 42
Table 2.C.2 Tests for GMM estimates of daily low trading
density currencies 43
Figure 2.1 Time series of the non-adverse selection
components 40
3. Re-examining the order flow and exchange rate
dynamics–using the clustering in trade-size and
price 44
3.1. Introduction 44
3.2. Data description of heterogeneous information and
liquidity 51
3.3. Empirical results of asymmetric effects on
the order flow 58
3.4. Conclusion 71
Appendix 3.A. Asymmetry of the heterogeneous information
and the liquidity forthe lagged order flow
model 73
Appendix 3.B. Comparison of the order flow coefficients 74
Appendix 3.C. LM Unit Root Tests with One or Two
Structural Breaks 75
References 77
Table 3.1 Frequency and independence of price and
quantity clustering 80
Table 3.2 Summary statistics of daily currency-pair
returns and order flows 81
Table 3.3 Asymmetry of the heterogeneous information
and the liquidity for the order flow on the
foreign exchange rate return 82
Table 3.4 Three factor model 83
Table 3.5 Asymmetric threshold model of the order flow 84
Table 3.6 Presence of structural breaks for the foreign
exchange rate returns 85
Table 3.7 Comparison of the order flow models 86
Table 3.A Asymmetry of the heterogeneous information
and the liquidity for the lagged order flow
model 87
Table 3.B Comparison of the order flow coefficients 88
4. Does consumption growth differential affect
the currency excess return? 89
4.1. Introduction 89
4.2. A consumption-based CIP model for currency excess
returns 95
4.3. Data description and empirical results 98
4.3.1 Data 99
4.3.2 Building currency portfolios to consumption growth
differential 100
4.3.3 Currency return predictability and robustness
check 106
4.4. Conclusion 111
Appendix 4.A. Pricing kernels across country for the
foreign exchange rate 113
Appendix 4.B. Approximation for currency excess
returns 114
Appendix 4.C. Data source and description 115
Appendix 4.D. Description of Bonferroni Q test 116
References 118
Table 4.1 Risk prices of consumption growth
differential, interest rate differential
and forward premium factors 120
Table 4.2 Properties of weekly excess return,
interest rate differential and the
consumption growth risk factor 121
Table 4.3 Predictive regression of the weekly currency
excess return on the lagged interest rate
differential and lagged consumption growth
risk factor for those portfolios with the
corresponding maturity 122
Table 4.4 Predictive regression of the weekly change
in the exchange rate on the lagged forward
premium and lagged consumption growth risk
factor for those portfolios with the
corresponding maturity 123
5. Conclusion 124
dc.language.isoen
dc.subject流動性zh_TW
dc.subject委託單流量zh_TW
dc.subject市場微結構zh_TW
dc.subject訊息異質性zh_TW
dc.subject消費成長差異zh_TW
dc.subject交易密度zh_TW
dc.subject買賣價差zh_TW
dc.subjectHeterogeneous informationen
dc.subjectMicrostructureen
dc.subjectTrading densityen
dc.subjectBid-ask spreaden
dc.subjectLiquidityen
dc.subjectOrder flowen
dc.subjectConsumption growth differentialen
dc.title匯率決定因子之研究zh_TW
dc.titleEssays on the Determinants of Foreign Exchange Ratesen
dc.typeThesis
dc.date.schoolyear100-1
dc.description.degree博士
dc.contributor.coadvisor張銘仁(Ming-Jen Chang)
dc.contributor.oralexamcommittee林修葳,張元晨,萬哲鈺
dc.subject.keyword市場微結構,委託單流量,流動性,買賣價差,交易密度,訊息異質性,消費成長差異,zh_TW
dc.subject.keywordMicrostructure,Order flow,Liquidity,Bid-ask spread,Trading density,Heterogeneous information,Consumption growth differential,en
dc.relation.page125
dc.rights.note有償授權
dc.date.accepted2011-12-23
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept國際企業學研究所zh_TW
顯示於系所單位:國際企業學系

文件中的檔案:
檔案 大小格式 
ntu-101-1.pdf
  未授權公開取用
856.99 kBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved