Fernandez, Julian (2020): Exchange Rate Uncertainty and the Interest Rate Parity.
Preview |
PDF
MPRA_paper_116010.pdf Download (3MB) | Preview |
Abstract
This paper studies the effect of exchange rate uncertainty on the deviations of Covered Interest Rate parity for benchmark bank rates and government yields. I develop a method for estimating the daily uncertainty from an endogenous factor clustering method to determine the currency grouping and an optimal number of groups and general factors explaining the data. I find that there are defined clusters of exchange rates that remain even after a structural change in the financial crisis and follow geographical characteristics. The deviations from the bank rates and governments differ in form and dependency, where factors such as interest rates and fluctuations in the overall dollar exchange have a substantial effect. I show that the exchange rate uncertainty increases the deviations of parity and the convenience yield of the US bond and treasury yields and that the effect is economically significant.
Item Type: | MPRA Paper |
---|---|
Original Title: | Exchange Rate Uncertainty and the Interest Rate Parity |
English Title: | Exchange Rate Uncertainty and the Interest Rate Parity |
Language: | English |
Keywords: | Uncertainty, Exchange Rate, Factor Clustering, Covered Interest Rate Parity |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C38 - Classification Methods ; Cluster Analysis ; Principal Components ; Factor Models C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C55 - Large Data Sets: Modeling and Analysis E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit F - International Economics > F3 - International Finance > F31 - Foreign Exchange F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F41 - Open Economy Macroeconomics |
Item ID: | 116010 |
Depositing User: | Julian Fernandez |
Date Deposited: | 17 Jan 2023 07:52 |
Last Modified: | 17 Jan 2023 07:52 |
References: | Akram, Q. F., Rime, D., and Sarno, L. (2008). Arbitrage in the foreign exchange market: Turning on the microscope. Journal of International Economics, 76(2):237–253. Aloosh, A. and Bekaert, G. (2022). Currency Factors. Management Science, 68(6):4042– 4064. Publisher: INFORMS. Amano, R. A. and Van Norden, S. (1998). Exchange rates and oil prices. Review of International Economics, 6(4):683–694. Ando, T. and Bai, J. (2015). A simple new test for slope homogeneity in panel data models with interactive effects. Economics Letters, 136:112 – 117. Ando, T. and Bai, J. (2016). Panel Data Models with Grouped Factor Structure Under Unknown Group Membership. Journal of Applied Econometrics, 31(1):163–191. Ando, T. and Bai, J. (2017). Clustering Huge Number of Financial Time Series: A Panel Data Approach With High-Dimensional Predictors and Factor Structures. Journal of the American Statistical Association, 112(519):1182–1198. Ando, T. and Li, K.-C. (2014). A model-averaging approach for high-dimensional regression. Journal of the American Statistical Association, 109(505):254–265. Avdjiev, S., Bruno, V., Koch, C., and Shin, H. S. (2019). The Dollar Exchange Rate as a Global Risk Factor: Evidence from Investment. IMF Economic Review, 67(1):151–173. Bai, J. and Ng, S. (2002). Determining the number of factors in approximate factor models. Econometrica, 70(1):191–221. Bai, J. and Ng, S. (2006). Confidence intervals for diffusion index forecasts and inference for factor-augmented regressions. Econometrica, 74(4):1133–1150. Bai, J. and Ng, S. (2008). Forecasting economic time series using targeted predictors. Journal of Econometrics, 146(2):304–317. Honoring the research contributions of Charles R. Nelson. Baker, S. R., Bloom, N., and Davis, S. J. (2016). Measuring Economic Policy Uncertainty. The Quarterly Journal of Economics, 131(4):1593–1636. Barigozzi, M., Cho, H., and Fryzlewicz, P. (2018). Simultaneous multiple change-point and factor analysis for high-dimensional time series. Journal of Econometrics, 206(1):187–225. Bekaert, G., Engstrom, E., and Xing, Y. (2009). Risk, uncertainty, and asset prices. Journal of Financial Economics, 91(1):59–82. Bekaert, G. and Hodrick, R. J. (1993). On biases in the measurement of foreign exchange risk premiums. Journal of International Money and Finance, 12(2):115–138. Berg, K. A. and Mark, N. C. (2018a). Global macro risks in currency excess returns. Journal of Empirical Finance, 45:300–315. Berg, K. A. and Mark, N. C. (2018b). Measures of global uncertainty and carry-trade excess returns. Journal of International Money and Finance, 88:212–227. Bernanke, B. S., Boivin, J., and Eliasz, P. (2005). Measuring the effects of monetary policy: A factor-augmented vector autoregressive (favar) approach. The Quarterly Journal of Economics, 120(1):387–422. Bloom, N. (2009). The impact of uncertainty shocks. Econometrica, 77(3):623–685. Bloom, N. (2014). Fluctuations in uncertainty. Journal of Economic Perspectives, 28(2):153– 76. Bloom, N., Bond, S., and Van Reenen, J. (2007). Uncertainty and investment dynamics. Review of Economic Studies, 74(2):391–415. Boubakri, S., Guillaumin, C., and Silanine, A. (2019). Non-linear relationship between real commodity price volatility and real effective exchange rate: The case of commodity exporting countries. Journal of Macroeconomics, 60:212 – 228. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/116010 |