An autoregressive distributed lag (ARDL) version of an error correction model based on a balance of payments approach is used to forecast the nominal exchange rate for the Bangladeshi taka. Based on existing trade volumes and trade practices, the bilateral exchange rate of the taka with the dollar is analyzed. Annual frequency data for a four decade period from 1976 to 2015 are utilized for the study. Descriptive statistics, formal inferential tests, and directional accuracy tests are used to assess out-of-sample forecast accuracy. Results indicate that, in spite of good insample estimation diagnostics, the model forecasts do not fare well against random walk benchmark
The out-of-sample forecasting performances of two univariate time series presentations for the USD/D...
Despite rising interest in African economies, there is little prior research on the determinants of ...
In recent years, a limited amount of work has been done on the medium-term linear composite method o...
Several error correction models are estimated for analyzing the nominal exchange rate dynamics of Ba...
Several error correction models are estimated for analyzing the nominal exchange rate dynamics of Ba...
Error correction modeling is used to model the nominal exchange rate for the Bangladeshi taka. Based...
Abstract. Error correction modeling is used to model the nominal exchange rate for the Bangladeshi t...
Abstract. Error correction modeling is used to model the nominal exchange rate for the Bangladeshi t...
This paper attempted to study the trend of exchange rate of American currency in term of Bangladeshi...
In international economics and trading, the exchange rate is important. Forecasting theexchange rat...
In international economics and trading, the exchange rate is important. Forecasting theexchange rat...
In international economics and trading, the exchange rate is important. Forecasting theexchange rat...
Currency is an important economic indicator. The indicator has some significant impact on the develo...
This thesis submitted in partial fulfillment of the requirements for the degree of Masters of Social...
The exchange rate forecasting has been an interesting topic for a long time. Beating the random walk...
The out-of-sample forecasting performances of two univariate time series presentations for the USD/D...
Despite rising interest in African economies, there is little prior research on the determinants of ...
In recent years, a limited amount of work has been done on the medium-term linear composite method o...
Several error correction models are estimated for analyzing the nominal exchange rate dynamics of Ba...
Several error correction models are estimated for analyzing the nominal exchange rate dynamics of Ba...
Error correction modeling is used to model the nominal exchange rate for the Bangladeshi taka. Based...
Abstract. Error correction modeling is used to model the nominal exchange rate for the Bangladeshi t...
Abstract. Error correction modeling is used to model the nominal exchange rate for the Bangladeshi t...
This paper attempted to study the trend of exchange rate of American currency in term of Bangladeshi...
In international economics and trading, the exchange rate is important. Forecasting theexchange rat...
In international economics and trading, the exchange rate is important. Forecasting theexchange rat...
In international economics and trading, the exchange rate is important. Forecasting theexchange rat...
Currency is an important economic indicator. The indicator has some significant impact on the develo...
This thesis submitted in partial fulfillment of the requirements for the degree of Masters of Social...
The exchange rate forecasting has been an interesting topic for a long time. Beating the random walk...
The out-of-sample forecasting performances of two univariate time series presentations for the USD/D...
Despite rising interest in African economies, there is little prior research on the determinants of ...
In recent years, a limited amount of work has been done on the medium-term linear composite method o...