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Some literature explains the forward premium puzzle by the learning process of agents’ behavior parameters, and this work argues that their conclusions may not be convincing. This study extends their model to the limited information case, resulting in several interesting findings: First, the puzzle happens when the proportion of full information agents is small, even people make expectation near rationally. Second, allowing the proportion of full information agents to be endogenous and highly relied on the performance of forecasting, agents turn to become full information immediately, and the puzzle disappears. These results are similar in different learning gain parameters. Our finding shows that limited information would be more important than learning, when explaining forward premium puzzle . Third, the multi-period test of Fama equation is also examined by the exchange rate simulated by learning in the limited information case. The Fama coefficients are positive, and the puzzle will not remain. It is consistent with the stylized facts in the multi-period version of Fama regression, which is found in McCallum (J Monet Econ 33(1):105–132, 1994). Finally, we also find that if agents rely on the recent data too much when forecasting, they tend to overreact on their arbitrage behavior. The Fama coefficient deviates further from unity. People might not benefit from having more information.
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Bacchetta, P., & Wincoop, E. V. (2009). On the Unstable Relationship between Exchange Rates and Macroeconomic Fundamentals. NBER Working Papers 15008, National Bureau of Economic Research, Inc.
Baillie, R. T., & Bollerslev, T. (2000). The forward premium anomaly is not as bad as you think. Journal of International Money and Finance, 19, 471–488. CrossRef
Black, F. (1986). Noise. Journal of Finance, 41, 529–543. CrossRef
Branch, W. A. (2007). Sticky information and model uncertainty in survey data on inflation expectations. Journal of Economic Dynamics and Control, 31, 245–276. CrossRef
Branch, W. A., & Evans, G. W. (2007). Model uncertainty and endogenous volatility. Review of Economic Dynamics, 10(2), 207–237. CrossRef
Brock, W. A., & Hommes, C. H. (1997). A rational route to randomness. Econometrica, 65(5), 1059–1096. CrossRef
Burnside, C., Han, B., Hirshleifer, D., & Wang, T. Y. (2011). Investor overconfidence and the forward premium puzzle. Review of Economic Studies, 78, 523–558. CrossRef
Chakraborty, A., & Evans, G. W. (2008). Can perpetual learning explain the forward-premium puzzle? Journal of Monetary Economics, 55(3), 477–490. CrossRef
Engel, C. (1992). On the foreign exchange risk premium in a general equilibrium model. Journal of International Economics, 32(3–4), 305–319. CrossRef
Evans, G. W., & Honkapohja, S. (2001). Learning and expectations in macroeconomics. Princeton, NJ: Princeton University Press. CrossRef
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25, 383–417. CrossRef
Gourinchas, P. O., & Tornell, A. (2004). Exchange rate puzzles and distorted beliefs. Journal of International Economics, 64(2), 303–333. CrossRef
Hodrick, R. J. (1987). The empirical evidence on the efficiency of forward and futures foreign exchange markets. Chur: Harwood Academic Publishers.
Kellard, N., & Sarantis, N. (2008). Can exchange rate volatility explain persistence in the forward premium? Journal of Empirical Finance, 15(4), 714–728. CrossRef
Krasker, W. S. (1980). The ‘peso problem’ in testing the efficiency of forward exchange markets. Journal of Monetary Economics, 6(2), 269–276. CrossRef
Lewis, K. (1989). Changing beliefs and systematic rational forecast errors with evidence from foreign exchange. American Economic Review, 79, 621–36.
Lo, A. (2004). The adaptive markets hypothesis: Market efficiency from an evolutionary perspective. Journal of Portfolio Management, 30, 15–29. CrossRef
Mankiw, N. G., & Reis, R. (2002). Sticky information versus sticky prices: A proposal to replace the New Keynesian Phillips curve. The Quarterly Journal of Economics, 117(4), 1295–1328. CrossRef
Mark, N. C. (2009). Changing monetary policy rules, learning, and real exchange rate dynamics. Journal of Money, Credit and Banking, 41(6), 1047–1070. CrossRef
Mark, N. C., & Wu, Y. (1998). Rethinking deviations from uncovered interest parity: The role of covariance risk and noise. Economic Journal, 108(451), 1686–1706. CrossRef
McCallum, B. T. (1994). A reconsideration of the uncovered interest parity relationship. Journal of Monetary Economics, 33(1), 105–132. CrossRef
Orphanides, A., & Williams, J. C. (2005). The decline of activist stabilization policy: Natural rate misperceptions, learning, and expectations. Journal of Economic Dynamics and Control, 29(11), 1927–1950. CrossRef
Scholl, A., & Uhlig, H. (2008). New evidence on the puzzles: Results from agnostic identification on monetary policy and exchange rates. Journal of International Economics, 76(1), 1–13. CrossRef
- Does Persistent Learning or Limited Information Matter in Forward Premium Puzzle?
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