Comparing the performance of time series models for forecasting exchange rate
In this paper an attempt has been made to compare different time series models to forecast exchange rate. A survey of literature shows that continuous debate is going on whether exchange rate follows a random walk or it can be modeled; there is also a debate whether one should use structural models...
| Hovedforfatter: | Newaz, M.K. |
|---|---|
| Format: | Article |
| Sprog: | English |
| Udgivet: |
BRAC University
2010
|
| Fag: | |
| Online adgang: | http://hdl.handle.net/10361/438 |
Lignende værker
-
Predicting subject area interest of a student using naive bayes
af: Hossain, Shakib
Udgivet: (2016) -
Taka-dollar exchange rate dynamics in relation to federal interest rates and the Bangladesh-USA trade balance: a time series analysis
af: Zaman, Foara
Udgivet: (2024) -
Identification of childhood leukemia using deep learning
af: Tultul, Farana Naz
Udgivet: (2018) -
Dhaka Stock Market analysis with ARIMA-LSTM Hybrid Model
af: Arnob, Raisul Islam, et al.
Udgivet: (2020) -
Recognizing sentimental emotions in text by using Machine Learning
af: Bushra, Tabassum Khan, et al.
Udgivet: (2023)