Abstract
The exchange rate is a very important key financial variable that affects decisions made by the foreign exchange investors, exporters, importers, bankers, businesses, financial institutions, policymakers, and tourists in the developed as well as the developing world. Exchange rate fluctuations affect the value of international investment portfolios, competitiveness of exports and imports, value of international reserves, currency value of debt payments, and the cost of tourists. Movements in exchange rates thus have very important implications for any country's economy's business cycle, trade, and capital flows and are therefore crucial for understanding financial developments and changes in economic policy. The study will be looking at the various aspects of country's economic policy with respect to the exchange rate and modeling and forecasting the exchange rate. The study will be analyzing India's exchange rate story and will be discussing the structure of the foreign exchange market in India in terms of participants, instruments, and trading platform as also a turnover in the Indian foreign exchange market and forward premia. The study will be attempting to develop a model for the rupee–dollar exchange rate taking into account variables from monetary and microstructure models as well as other variables including intervention by the central bank. The main focus will be on the exchange rate of the Indian rupee vis‐à‐vis the U.S. dollar, that is, the Re/$ rate. The data will be covering from January 1990 through April 2013. This study will be examining the forecasting performance of the monetary model and various extensions of it in the vector autoregressive and Bayesian vector autoregressive framework.
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