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Long Short-Term Memory Network for Predicting Exchange Rate of the Ghanaian Cedi

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Outgoing claims: the papers this work cites, builds on, or argues with.

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inferredcites →https://doi.org/10.1007/s41066-019-00181-7openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.asoc.2014.01.039openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.cam.2019.112457openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.eswa.2014.08.018openalex-snapshot
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Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants
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Stock market response to information diffusion through internet sources: A literature review
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Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions
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Agent based-stock flow consistent macroeconomics: Towards a benchmark model
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Exchange rate prediction redux: New models, new data, new currencies
inferredcites →https://doi.org/10.1016/j.jinteco.2018.07.005openalex-snapshot
The shocks matter: Improving our estimates of exchange rate pass-through
inferredcites →https://doi.org/10.1016/j.jksuci.2017.09.006openalex-snapshot
A hybridized ELM-Jaya forecasting model for currency exchange prediction
inferredcites →https://doi.org/10.1016/j.jksus.2018.04.023openalex-snapshot
Estimating the probability distribution of the exchange rate between Ghana Cedi and American dollar
inferredcites →https://doi.org/10.1016/j.neucom.2015.03.100openalex-snapshot
Neural networks performance in exchange rate prediction
inferredcites →https://doi.org/10.1016/j.neucom.2018.01.038openalex-snapshot
Predicting the direction of stock markets using optimized neural networks with Google Trends
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Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange
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Forecasting of Forex Time Series Data Based on Deep Learning
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The impact of macroeconomic variables on exchange rate volatility in Ghana: The Partial Least Squares Structural Equation Modelling approach
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Forex Market Prediction Using NARX Neural Network with Bagging
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Interdependence of Major Exchange Rates in Ghana: A Wavelet Coherence Analysis
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Forecasting Foreign Exchange Markets Using Google Trends: Prediction Performance of Competing Models
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Identifying key economic indicators influencing tender price index prediction in the building industry: a case study of Ghana
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Application of LSTM Neural Network in Forecasting Foreign Exchange Price
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Long Short-Term Memory Networks Based Automatic Feature Extraction for Photovoltaic Array Fault Diagnosis
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Ensemble Computations on Stock Market: A Standardized Review for Future Directions
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ON THE SOURCES OF UNCERTAINTY IN EXCHANGE RATE PREDICTABILITY
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Exchange Rates and Monetary Policy Uncertainty
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Point, Interval and Density Forecasts of Exchange Rates with Time Varying Parameter Models
inferredcites →https://doi.org/10.1186/s40064-015-0837-6openalex-snapshot
Modeling inflation rates and exchange rates in Ghana: application of multivariate GARCH models
inferredcites →https://doi.org/10.1186/s40064-015-1118-0openalex-snapshot
Modeling variations in the cedi/dollar exchange rate in Ghana: an autoregressive conditional heteroscedastic (ARCH) models
inferredcites →https://doi.org/10.1186/s40537-020-00299-5openalex-snapshot
A comprehensive evaluation of ensemble learning for stock-market prediction
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Monetary Policy and the Redistribution Channel
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The Out-of-Sample Failure of Empirical Exchange Rate Models: Sampling Error or Misspecification?
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Quantifying Macroeconomic Expectations in Stock Markets Using Google Trends
inferredcites →https://doi.org/10.2478/acss-2020-0004openalex-snapshot
Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana
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An Intelligent Event-Sentiment-Based Daily Foreign Exchange Rate Forecasting System
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Time Series Analysis of the Exchange Rate of the Ghanaian Cedi to the American Dollar

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4618973openalex-extracted
Out-of-Sample Exchange rate Forecasting in Ghana using Bayesian Model Averaging
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e21815openalex-snapshot
Building the resilience of smallholder farmers to climate variability: Using climate-smart agriculture in Bono East Region, Ghana
inferred← citeshttps://doi.org/10.1080/00036846.2024.2339188openalex-snapshot
Forecasting the future: applying Bayesian model averaging for exchange rates drivers in Ghana
inferred← citeshttps://doi.org/10.1155/2023/1314660openalex-snapshot
Profitability Analysis of Small-Scale Cage Aquaculture Farms in the Volta Lake of Ghana
inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0130272openalex-snapshot
Forecasting Foreign Currency Exchange Rate using Convolutional Neural Network
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10480821/v1openalex-snapshot
Evaluation of Policy-Relevant Forecasting Advantage of Machine and Deep Learning Models over Classical Econometrics: Evidence from Ghanaian Headline Inflation
inferred← citeshttps://doi.org/10.26555/ijain.v10i1.1439openalex-snapshot
Imputation of missing microclimate data of coffee-pine agroforestry with machine learning
inferred← citeshttps://doi.org/10.3389/fphy.2022.1008445openalex-snapshot
Increasing the prediction performance of temporal convolution network using multimodal combination input: Evidence from the study on exchange rates
inferred← citeshttps://doi.org/10.3390/math10244672openalex-snapshot
Mathematical Exchange Rates Modeling: Equilibrium and Nonequilibrium Dynamics
inferred← citeshttps://doi.org/10.3390/risks13050090openalex-snapshot
Structural Exchange Rate Modeling: The Case of a Small Open Economy
inferred← citeshttps://doi.org/10.37394/232026.2025.7.13openalex-snapshot
Stochastic Time Series Analysis of Gh₵/us$ Exchange Rate: 2015 to 2024
inferred← citeshttps://doi.org/10.62411/jcta.12513openalex-snapshot
A Comparative Analysis of an Enhanced Hybrid Model for Predicting Dollar Against Naira Exchange Rate Using Deep Learning and Statistical Methods
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